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MODIS Firecounts
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You can retrieve MODIS Fire Count data using the NASA Earthdata website or MODIS Web Service. Use the following steps:
  1. Create an Earthdata account.
  2. Access the MODIS Data Products page.
  3. Select the relevant MODIS product (e.g., MOD14 for fire).
  4. Use tools like Giovanni or NASA Worldview to specify your location and download the data.
  5. Alternatively, use Python libraries like pyMODIS or modis for automated downloads.
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Atmospheric aerosol particles affect atmospheric radiation and air quility, and there are various size particles in air. Humidity, gravity, air velocity and other fators may influence particles state (aggregate/agglomerate, disperse,sedimentation etc.)
Are there physical models to interpret the state of atmospheric particles?
I sincerely hope you can help me. Thank you!
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Dear Zhao Shu
I have just a few additional observations after a very brief reading of the papers suggested in this discussion thread.
The physical model that we can employ to describe a population of atmospheric aerosol particles is rather complex because it is based on the stochastic coagulation equation of Smoluchowski imbedded in the advection diffusion equation taking into account transport processes. At the same time, we need to keep a track of the internal composition of particles which include solid cores and liquid surrounding, in both cases the chemical composition is not simple. According to my review of the recent literature, a complete model is still beyond our reach. The nature of the aerosol system indeed indicates that the nature is too complex to admit anything but approximations to paraphrase the well known statement of John von Neumann.
Considering the above, I would like to suggest the following review by Riemer et al. (2019): Aerosol Mixing State: Measurements, Modeling, and Impacts
The text is available at:
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I have downloaded data of 10 Aug 2015 from SABER instrument on the NASA TIMED satellite by choosing altitude (10 to 155 km), latitude (-90 to 90) and longitude (0 to 360) and converted in to .mat files. If possible then kindly help me selecting NO_VER for latitude of 69.58° N, altitude of 145 km and longitude of 19.23° E at (01 – 02 UT) from my MAT file of 10 Aug 2015.
THANKS
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Can we do that by dispersing heavy metals ions in that medium? If so, what is the possible mechanism that controls the trends of these cations towards the polar sulfur sites in organosulfur materials?
I think that the negatively charged sulfur compounds may interact with the positively charged metal-loaded sorbent but still I did not find that in the literature and my justification still lacks proper convincement. That means we do not find yet a technical solution for this very important point for oil companies, why and how?!
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I think, the synergistic effect of surface charges and interaction of different organosulfur compounds with the heavy metal ions are responsible for controlling the overall reaction mechanism.
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The threats that global warming has recently posed to humans in many parts of the world have led us to continue this debate.
So the main question is that what actions need to be taken to reduce the risk of climate warming?
Reducing greenhouse gases now seems an inevitable necessity.
In this part in addition to the aforementioned main question, other specific well-known subjects from previous discussion are revisited. Please support or refute the following arguments in a scientific manner.
% -----------------------------------------------------------------------------------------------------------%
% ---------------- *** Updated Discussions of Global Warming (section 1) *** ---------------%
The rate of mean temperature of the earth has been increased almost twice with respect to 60 years ago, it is a fact (Goddard Institute for Space Studies, GISS, data). Still a few questions regarding physical processes associated with global warming remain unanswered or at least need more clarification. So the causes and prediction of this trend are open questions. The most common subjects are listed below:
1) "Greenhouse effect increases temperature of the earth, so we need to diminish emission of CO2 and other air pollutants." The logic behind this reasoning is that the effects of other factors like the sun's activity (solar wind contribution), earth rotation orbit, ocean CO2 uptake, volcanoes activities, etc are not as important as greenhous effect. Is the ocean passive in the aforementioned scenario?
2) Two major physical turbulent fluids, the oceans and the atmosphere, interacting with each other, each of them has different circulation timescale, for the oceans it is from year to millennia that affects heat exchange. It is not in equilibrium with sun instantaneously. For example the North Atlantic Ocean circulation is quasi-periodic with recurrence period of about 7 kyr. So the climate change always has occurred. Does the timescale of crucial players (NAO, AO, oceans, etc) affect the results?
3) Energy of the atmospheric system including absorption and re-emission is about 200 Watt/m2 ; the effect of CO2 is about how many percent to this budget ( 2% or more?), so does it have just a minor effect or not?
4) Climate system is a multi-factor process and there exists a natural modes of temperature variations. How anthropogenic CO2 emissions makes the natural temperature variations out of balance.
6) Some weather and climate models that are based on primitive equations are able to reproduce reliable results.  Are the available models able to predict future decadal variability exactly? How much is the uncertainty of the results. An increase in CO2 apparently leads in higher mean temperature value due to radiative transfer.
7) How is global warming related to extreme  weather events?
Some of the consequences of global warming are frequent rainfall, heat waves, and cyclones. If we accept  global warming as an effect of anthropogenic fossil fuels, how can we stop the increasing trend of temperature anomaly and switching to clean energies?
8) What are the roles of sun activities coupled with Milankovitch cycles?
9) What are the roles of politicians to alarm the danger of global warming? How much are scientists sensitive to these decisions?
10) How much is the CO2’s residence time in the atmosphere? To answer this question precisely, we need to know a good understanding of CO2 cycle.
11) Clean energy reduces toxic buildups and harmful smog in air and water. So, how much building renewable energy generation and demanding for clean energy is urgent?
% -----------------------------------------------------------------------------------------------------------%
% ---------------- *** Discussions of Global Warming (section 2) *** ---------------%
Warming of the climate system in the recent decades is unequivocal; nevertheless, in addition to a few scientific articles that show the greenhouse gases and human activity as the main causes of global warming, still the debate is not over and some opponents claim that these effects have minor effects on human life. Some relevant topics/criticisms about global warming, causes, consequences, the UN’s Intergovernmental Panel on Climate Change (IPCC), etc are putting up for discussion and debate:
1) All the greenhouse gases (carbon dioxide, methane, nitrous oxide, chlorofluorocarbons (CFCs), hydro-fluorocarbons, including HCFCs and HFCs, and ozone) account for about a tenth of one percent of the atmosphere. Based on Stefan–Boltzmann law in basic physics, if you consider the earth with the earth's albedo (a measure of the reflectivity of a surface) in a thermal balance, that is: the power radiated from the earth in terms of its temperature = Solar flux at the earth's cross section, you get Te =(1-albedo)^0.25*Ts.*sqrt(Rs/(2*Rse)), where Te (Ts) is temperature at the surface of the earth (Sun), Rs: radius of the Sun, Rse: radius of the earth's orbit around the Sun. This simplified equation shows that Te depends on these four variables: albedo, Ts, Rs, Rse. Just 1% variation in the Sun's activity lead to variation of the earth's surface temperature by about half a degree.
1.1) Is the Sun's surface (photosphere layer) temperature (Ts) constant?
1.2) How much is the uncertainty in measuring the Sun's photosphere layer temperature?
1.3) Is solar irradiance spectrum universal?
1.4) Is the earth's orbit around the sun (Rse) constant?
1.5) Is the radius of the Sun (Rs) constant?
1.6) Is the largeness of albedo mostly because of clouds or the man-made greenhouse gases?
So the sensitivity of global mean temperature to variation of tracer gases is one of the main questions.
2) A favorable climate model essentially is a coupled non-linear chaotic system; that is, it is not appropriate for the long term future prediction of climate states. So which type of models are appropriate?
3) Dramatic temperature oscillations were possible within a human lifetime in the past. So there is nothing to worry about. What is wrong with the scientific method applied to extract temperature oscillations in the past from Greenland ice cores or shifts in types of pollen in lake beds?
4) IPCC Assessment Reports,
IPCC's reports are known as some of the reliable sources of climate change, although some minor shortcomings have been observed in them.
4.1) "What is Wrong With the IPCC? Proposals for a Radical Reform" (Ross McKitrick):
IPCC has provided a few climate-change Assessment Reports during last decades. Is a radical reform of IPCC necessary or we should take all the IPCC alarms seriously? What is wrong with Ross argument? The models that are used by IPCC already captured a few crudest features of climate change.
4.2) The sort of typical issues of IPCC reports:
- The summary reports focus on those findings that support the human interference theory.
- Some arguments are based on this assumption that the models account for most major sources of variation in the global mean temperature anomaly.
- "Correlation does not imply causation", in some Assessment Reports, results gained from correlation method instead of investigating the downstream effects of interventions or a double-blind controlled trial; however, the conclusions are with a level of reported uncertainty.
4.3) Nongovernmental International Panel on Climate Change (NIPCC) also has produced some massive reports to date.
4.4) Is the NIPCC a scientific or a politically biased panel? Can NIPCC climate reports be trusted?
4.5) What is wrong with their scientific methodology?
5) Changes in the earth's surface temperature cause changes in upper level cirrus and consequently radiative balance. So the climate system can increase its cooling processes by these types of feedbacks and adjust to imbalances.
6) What is your opinion about political intervention and its effect upon direction of research budget?
I really appreciate all the researchers who have had active participation with their constructive remarks in these discussion series.
% -----------------------------------------------------------------------------------------------------------%
% ---------------- *** Discussions of Global Warming (section 3) *** ---------------%
In this part other specific well-known subjects are revisited. Please support or refute the following arguments in a scientific manner.
1) Still there is no convincing theorem, with a "very low range of uncertainty", to calculate the response of climate system in terms of the averaged global surface temperature anomalies with respect to the total feedback factors and greenhouse gases changes. In the classical formula applied in the models a small variation in positive feedbacks leads to a considerable changes in the response (temperature anomaly) while a big variation in negative feedbacks causes just small variations in the response.
2) NASA satellite data from the years 2000 through 2011 indicate the Earth's atmosphere is allowing far more heat to be emitted into space than computer models have predicted (i.e. Spencer and Braswell, 2011, DOI: 10.3390/rs3081603). Based on this research "the response of the climate system to an imposed radiative imbalance remains the largest source of uncertainty. It is concluded that atmospheric feedback diagnosis of the climate system remains an unsolved problem, due primarily to the inability to distinguish between radiative forcing and radiative feedback in satellite radiative budget observations." So the contribution of greenhouse gases to global warming is exaggerated in the models used by the U.N.’s Intergovernmental Panel on Climate Change (IPCC). What is wrong with this argument?
3) Ocean Acidification
Ocean acidification is one of the consequences of CO2 absorption in the water and a main cause of severe destabilising the entire oceanic food-chain.
4) The IPCC reports which are based on a range of model outputs suffer somehow from a range of uncertainty because the models are not able to implement appropriately a few large scale natural oscillations such as North Atlantic Oscillation, El Nino, Southern ocean oscillation, Arctic Oscillation, Pacific decadal oscillation, deep ocean circulations, Sun's surface temperature, etc. The problem with correlation between historical observations of the global averaged surface temperature anomalies with greenhouse gases forces is that it is not compared with all other natural sources of temperature variability. Nevertheless, IPCC has provided a probability for most statements. How the models can be improved more?
5) If we look at micro-physics of carbon dioxide, theoretically a certain amount of heat can be trapped in it as increased molecular kinetic energy by increasing vibrational and rotational motions of CO2, but nothing prevents it from escaping into space. During a specific relaxation time, the energetic carbon dioxide comes back to its rest statement.
6) As some alarmists claim there exists a scientific consensus among the scientists. Nevertheless, even if this claim is true, asking the scientists to vote on global warming because of human made greenhouse gases sources does not make sense because the scientific issues are not based on the consensus; indeed, appeal to majority/authority fallacy is not a scientific approach.
% -----------------------------------------------------------------------------------------------------------%
% ---------------- *** Discussions of Global Warming (section 4) *** ---------------%
In this part in addition to new subjects, I have highlighted some of responses from previous sections for further discussion. Please leave you comments to support/weaken any of the following statements:
1) @Harry ten Brink recapitulated a summary of a proof that CO2 is such an important Greenhouse component/gas. Here is a summary of this argument:
"a) Satellites' instruments measure the radiation coming up from the Earth and Atmosphere.
b) The emission of CO2 at the maximum of the terrestrial radiation at 15 micrometer.
b1. The low amount of this radiation emitted upwards: means that "back-radiation" towards the Earth is high.
b2. Else said the emission is from a high altitude in the atmosphere and with more CO2 the emission is from an even higher altitude where it is cooler. That means that the emission upwards is less. This is called in meteorology a "forcing", because it implies that less radiation /energy is emitted back into space compared to the energy coming in from the sun.
The atmosphere warms so the energy out becomes equals the solar radiation coming in. Summary of the Greenhouse Effect."
At first glance, this reasoning seems plausible. It is based on these assumptions that the contribution of CO2 is not negligible and any other gases like N2O or Ozone has minor effect. The structure of this argument is supported by an article by Schmidt et al., 2010:
By using the Goddard Institute for Space Studies (GISS) ModelE radiation module, the authors claim that "water vapor is the dominant contributor (∼50% of the effect), followed by clouds (∼25%) and then CO2 with ∼20%. All other absorbers play only minor roles. In a doubled CO2 scenario, this allocation is essentially unchanged, even though the magnitude of the total greenhouse effect is significantly larger than the initial radiative forcing, underscoring the importance of feedbacks from water vapour and clouds to climate sensitivity."
The following notions probably will shed light on the aforementioned argument for better understanding the premises:
Q1) Is there any observational data to support the overall upward/downward IR radiation because of CO2?
Q2) How can we separate practically the contribution of water vapor from anthropogenic CO2?
Q3) What are the deficiencies of the (GISS) ModelE radiation module, if any?
Q4) Some facts, causes, data, etc relevant to this argument, which presented by NASA, strongly support this argument (see: https://climate.nasa.gov/evidence/)
Q5) Stebbins et al, (1994) showed that there exists "A STRONG INFRARED RADIATION FROM MOLECULAR NITROGEN IN THE NIGHT SKY" (thanks to @Brendan Godwin for mentioning about this paper). As more than 78% of the dry air contains nitrogen, so the contribution of this element is not negligible too.
2) The mean global temperature is not the best diagnostic to study the sensitivity to global forcing. Because given a change in this mean value, it is almost impossible to attribute it to global forcing. Zonal and meridional distribution of heat flux and temperature are not uniform on the earth, so although the mean temperature value is useful, we need a plausible map of spatial variation of temperature .
3) "The IPCC model outputs show that the equilibrium response of mean temperature to a doubling of CO2 is about 3C while by the other observational approaches this value is less than 1C." (R. Lindzen)
4) What is the role of the thermohaline circulation (THC) in global warming (or the other way around)? It is known that during Heinrich events and Dansgaard‐Oeschger (DO) millennial oscillations, the climate was subject to a number of rapid cooling and warming with a rate much more than what we see in recent decades. In the literature, these events were most probably associated with north-south shifts in convection location of the THC. The formation speed of North Atlantic Deep Water (NADW) affects northerly advection velocity of the warm subtropical waters that would normally heat/cool the atmosphere of Greenland and western Europe.
I really appreciate all the researchers who have participated in this discussion with their useful remarks, particularly Harry ten Brink, Filippo Maria Denaro, Tapan K. Sengupta, Jonathan David Sands, John Joseph Geibel, Aleš Kralj, Brendan Godwin, Ahmed Abdelhameed, Jorge Morales Pedraza, Amarildo de Oliveira Ferraz, Dimitris Poulos, William Sokeland, John M Wheeldon, Michael Brown, Joseph Tham, Paul Reed Hepperly, Frank Berninger, Patrice Poyet, Michael Sidiropoulos, Henrik Rasmus Andersen, and Boris Winterhalter.
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Yes. Please see the following useful link for insights.
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1. Which software is comparatively easier to learn in order to analyze the available satellite data for air pollutants such as tropospheric ozone, PM10, NO2 etc.
2. Please recommend a guide to follow as well, if possible.
3. Approximately, how much time will it take to analyze data spanning 6 months?
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Thanks Dr. Nick Jordan
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Hi,
I need column integrated total aerosol optical depth at a specific location. For this, I used WRF-ARW model and added AODTOT in iofields_filename as a text file. I extracted the variable through ARWpost after running WRF. I got AODTOT
as constant field throughout the forecast period. If I want to get time varying AODTOT, what are the things I need to change?. Please help me regarding this.
One more doubt is, what is the difference between AODTOT, AOD5502D, AOD5503D?. Out of three, Which variable I need to to use to get total integrated aerosol optical depth at a specific location using WRF-ARW?
Waiting for your reply,
Thanks & Regards,
Malleswararao M
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Hi
why AODTOT is zero in wrfchem output file?
what item i will be active for AOD value
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Do we have any empirical model to model the combined effect of carbonation and chloride attack in concrete concerning time-dependent temperature, relative humidity and concentration of carbon dioxide?
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Dear Murali
Corrosion of reinforcing steel in concrete structures is induced by two chemical attacks: chloride attack or carbonation. Carbonation is control by the amount of CO2 in the air and generally happens in an industrial city where there is a lot of industrial activity. Besides, chloride attacks take place in the structure expose to seawater. Models have been developed to predict the depth of carbonation and the chloride ingress. Nevertheless, the recent literature does not mention a model to predict simultaneously the carbonation and chloride attack.
I encourage you to carry out research on this good topic
Regards
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Hello,
I am interested in how the concentration of O2 varies over time close to ground level. I have been informed that the concentration can drop when an inversion layer is present in the local area due to reduced atmospheric mixing and have seen this effect in data collected by my group.
What else can lead to O2 changes?
Also, what is the best way to identify when an inversion layer is present?
Background:
The reason for my asking is that my group use a constant value for oxygen concentration and use atmospheric air to calibrate our continuous gas oxygen analysers. These analysers are used for a clinical measurement called whole body room calorimetry, where we compare the changes in oxygen concentration of a room (nearly air tight) and air being pumped in to it. Further in the data processing, we calculate the amount of oxygen used by a person, which along with other gas exchange rates is used to calculate biological power output and fuel oxidation ratios.
Thanks for reading.
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Thank you Valerio!
That's all very interesting.
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We are running WRF/Chem 4.5.1 with RADM2.
In the wrfchemi files, I am looking at the E_NH3, BIGALK and E_C3H6. In the wrf output file, there seems to be several variables related to VOCs, but I am looking only at 'ald', 'tol', and 'xyl'.
We are running two simulations, a control and a sensitivity scenario - in the latter, there were decreases in total pollutants emissions, including VOCs... However, I don't see much change in VOCs between the two simulations, neither in the emission files nor in the output files. If I look at other pollutants such as CO, NO2, etc. there is a change, but not for VOCs. I am not sure if I am missing something here.
Which variables in those files do you usually look into when you want to analyse the VOCs? I have limited chemistry knowledge so I wanted to hear from anyone who's got more experience.
Any comemnts or recommendations are appreciated!
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Hi Julio,
If you are changing both anthropogenic and biogenic VOC emissions and are not obtaining different concentration, the problem could be related to the boundary condition. Maybe expanding the domain may diminish this influence. Or using different database to provide this boundary concentrations.
If you are not changing the biogenic VOC emissions, and the final concentrations is similar, this mean that this emission type might the main source of VOC. Therefore, the chances in anthropogenic emission do not cause any effect.
You can summarize each VOC species emission (_NH3, BIGALK and E_C3H6 ) by sectors (anthropogenic, biogenic, fires, etc.) to see the most representative sector.
For curiosity, the O3 concentration also changed in the second scenario?
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I want to measure the gas temperature of the atmospheric He/H2O plasma. But since the OH radicals may not be Boltzmann distributed, I introduced a small amount of nitrogen to verify the gas temperature by using the emission of the second positive nitrogen system. I used the Specair to automatically fit the spectrum and calculate the gas temperature, but it gives me the result of 2400 Kelvin, which is definitely much higher than the real gas temperature. Besides the fitting residual is quite large. I think the gas temperature should be around 1000 K, so I used Specair and generated a spectrum of N2 at 1000 K. The experiment spectrum (the second picture) and calculated spectrum by Specair (the first picture) are shown in the attachment. All the automatically generated spectrum by Specair below 2000 K look very weird, they don't have the basic shape of N2 band, and they even don't change with the temperature settings. I think this is the reason why the fitting residual is quite large when gas temperature was set below 2000 K, and the final result calculated by computer is always above 2000 K, because the computer will try to minimize the fitting residual. Does anyone know why the calculated N2 spectrum below 2000 K looks like that? Are there any other method or software that can be used to fit the N2 second positive spectrum? The settings that I used to generate the spectrum at 1000 K are shown in the third picture. The spectrum fitting is shown in the fourth picture (the black line is the experiment spectrum). 
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Huihui Wang have you adjusted the slit function and tried?
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As an early career scientist, I will be teaching on the Fundaments of Air Quality, my first teaching experience. I do have some good books in my recommended literature, but I would love to see students going a bit further. I believe papers can be a good way to do so.
The same subject, Fundaments of Air Quality, will be taught to both undergraduate and graduate students in different semesters.
Please, any ideas of good educational journals will be very much appreciated.
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The early issues of Tellus and the Atmospheric Environment are extremely valuable and accessible. From these two sources alone, you can derive a wealth of material to teach the fundamentals of air quality. The papers published in the formative years of this discipline are much easier to follow than the more specialized texts published today. Furthermore, Tellus is an open access journal.
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Are they significantly influence Earth’s climate?
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I am manipulating water vapor data obtained by radiosondeo, according to the manual these are given in units of water vapor mixture ratio (g / kg) but in the article I use this data are used in g / cm **2. I am a beginner in the subject of atmospheric chemistry and do not handle this type of units much.
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could it be, that your quantity g/cm^2 is some sort of column-integrated mass = an area density?
If you multiply your mass mixing ratio by the average density of the air and then multiply by height (thickness of atmosphere), that would give g/cm^2.
However, this is not really column-integrated but averaged.
Depends on the operating principle of your sensor and so on.
Another buzz-word you might think about is "column-averaged concentration", which is similar (but not the same!) to the quantity you're looking for.
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The demonstration of the existence of Silicon TetraFluoride in volcanic emissions and the importance of monitoring it, and its ratio to Hydrogen Fluoride gas, in prediction of eruptions is relatively recent.
This leads me to ask if perhaps Sulfur Fluoride compounds might also be present, especially where high levels of Hydrogen Sulfide and elemental Sulfur are observed.
I will be most grateful for any literature references.
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It is possible that sulfur hexafluoride, SF6, is present in volcanic emissions (see reference below). Among all sulfur fluorides, SF6 ist by far the most stable. The compound is rather inert and also a very potent greenhouse gas.
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This is the third call for applications for Short Term Scientific Missions (STSMs) for grant period 2 of the COST Action CA17136 - INDAIRPOLLNET (https://indairpollnet.eu/). STSMs are institutional visits aimed at supporting individual mobility, fostering collaboration between individuals. These missions contribute to the scientific objectives of COST Action CA17136 - INDAIRPOLLNET. They are particularly intended for young scientists. The selection of applicants is based on the scientific scope of the STSM application which must clearly contribute to the overall objectives of the Action CA17136 and be related to a specific Working Group. Interested researchers can apply by following the instructions provided in the attached document and submitting their application and supporting documents until 31 January 2020.
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anything related to India then I am really intersted
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Hi, I am interested in modeling atmospheric dynamics and composition on a global scale. I am looking for resources to study and implement global-scale modeling of Earth atmosphere and oceans.
Are there any open source models both GUI or CLI based which can be run on Windows 10 OS?
Thank you
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There is a paper that was published in Atmospheric Chemistry and Physics by Wang et al. in which they have plotted the mass absorption coefficient (MAC) of brown carbon (BrC) with -log(NOx/NOy). They say that they have used -log(NOx/NOy) as a photochemical clock. Could anyone explain as to why they have done that?
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If the paper doesn't justify their reasoning, you may contact the authors.
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I am interested in knowing about the lifetime of a chemical species in the atmosphere. What are the techniques that can be applied in order to estimate the lifetime of a certain chemical species in the atmosphere based on the physical and chemical properties at different length and time scales? Is there any analytical or computational technique that can be used to estimate within limits of permissible errors? or can it be analysed from Earth Observation data?
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In the Lagrangian frame of reference, the residence time of a given quantity of chemical species is determined by the location of the emission, the flow path, the lateral mixing, the vertical diffusion, the deposition (wet and dry), chemical reactions and the transfer between the gas phase and particles. The solution of the mass conservation equation for a given trajectory leads directly to the estimation of a residence time.
Considering the fact that all the parameters of the considered system exhibit a significant variability, we should look at the problem of the residence time more in the sense of the distribution of the residence times evaluated for the ensemble of the trajectories. Calculations can be accomplished using a Lagrangian model that includes all the relevant processes indicated in the first sentence
In the Eulerian frame of reference, we can use a method suggested by Professor Bolin and his coworkers the article: "Residence time of atmospheric pollutants as dependent on source characteristics, atmospheric diffusion processes and sink mechanisms"
When considering the modifications of the method suggested in this paper, it is advisable to use a three-dimensional transport model with a realistic Planetary Boundary Layer scheme, good schemes for dry deposition coupled to a cloud model. In my opinion, we are still trying to master three-dimensional transport models with the properties required to make realistic estimates of residence time.
The remaining question is: which method is better?
In my opinion, the most accurate and realistic methods are based on the ensemble of trajectories because of their ability to estimate the distribution of the residence times.
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In this part in addition to new subjects, I have highlighted some of responses from previous sections for further discussion. Please leave you comments to support/weaken any of the following statements:
1) @Harry ten Brink recapitulated a summary of a proof that CO2 is such an important Greenhouse component/gas. Here is a summary of this argument:
"a) Satellites' instruments measure the radiation coming up from the Earth and Atmosphere.
b) The emission of CO2 at the maximum of the terrestrial radiation at 15 micrometer.
b1. The low amount of this radiation emitted upwards: means that "back-radiation" towards the Earth is high.
b2. Else said the emission is from a high altitude in the atmosphere and with more CO2 the emission is from an even higher altitude where it is cooler. That means that the emission upwards is less. This is called in meteorology a "forcing", because it implies that less radiation /energy is emitted back into space compared to the energy coming in from the sun.
The atmosphere warms so the energy out becomes equals the solar radiation coming in. Summary of the Greenhouse Effect."
At first glance, this reasoning seems plausible. Nevertheless, it is based on these assumptions that the contribution of CO2 is not negligible and any other gas like N2O and Ozone has minor effect. The structure of this argument is supported by an article by Schmidt et al., 2010:
By using the Goddard Institute for Space Studies (GISS) ModelE radiation module, the authors claim that "water vapor is the dominant contributor (∼50% of the effect), followed by clouds (∼25%) and then CO2 with ∼20%. All other absorbers play only minor roles. In a doubled CO2 scenario, this allocation is essentially unchanged, even though the magnitude of the total greenhouse effect is significantly larger than the initial radiative forcing, underscoring the importance of feedbacks from water vapour and clouds to climate sensitivity."
The following notions probably will shed light on the aforementioned argument for better understanding the premises:
Q1) Is there any observational data to support the overall upward/downward IR radiation because of CO2?
Q2) How can we separate practically the contribution of water vapor from anthropogenic CO2?
Q3) What are the deficiencies of the (GISS) ModelE radiation module, if any?
Q4) Some facts, causes, data, etc relevant to this argument, which presented by NASA, strongly support this argument (see: https://climate.nasa.gov/evidence/)
Q5) Stebbins et al, (1994) showed that there exists "A STRONG INFRARED RADIATION FROM MOLECULAR NITROGEN IN THE NIGHT SKY" (thanks to @Brendan Godwin for mentioning about this paper). As more than 78% of the dry air contains nitrogen, so the contribution of this element is not negligible.
2) The mean global temperature is not a good diagnostic to study the sensitivity to global forcing. Because given a change in this mean value, it is almost impossible to attribute it to global forcing. Zonal and meridional distribution of heat flux and temperature are not uniform on the earth, so the mean temperature value is misleading.
3) "The IPCC model outputs show that the equilibrium response of mean temperature to a doubling of CO2 is about 3C while for the other observational approaches this value is less than 1C." (R. Lindzen). What is wrong with these propositions?
4) What is the role of the thermohaline circulation (THC) in global warming (or the other way around)? It is known that during Heinrich events and Dansgaard‐Oeschger (DO) millennial oscillations, the climate was subject to a number of rapid cooling and warming with a rate much more than what we see in recent decades. In the literature, these events were most probably associated with north-south shifts in convection location of the THC. The formation speed of North Atlantic Deep Water (NADW) affects northerly advection velocity of the warm subtropical waters that would normally heat/cool the atmosphere of Greenland and western Europe.
I really appreciate all the researchers who have participated in these discussions with their useful remarks, particularly Harry ten Brink, Filippo Maria Denaro, Tapan K. Sengupta, Jonathan David Sands, John Joseph Geibel, Aleš Kralj, Brendan Godwin, Ahmed Abdelhameed, Jorge Morales Pedraza, Amarildo de Oliveira Ferraz, Dimitris Poulos, William Sokeland, John M Wheeldon, Joseph Tham, and Boris Winterhalter.
%% ----------------------------------------------------------------------------------------------------------------------%%
Link to the discussions of Global Warming (Part 1):
Link to the discussions of Global Warming (Part 2):
Link to the discussions of Global Warming (Part 3):
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Today, activity surrounding the term global warming is political not scientific. For a number of reasons internet searches yield a ratio of 10 or 20 fake science sites to one scientific one. You have to read them all. I suggest several thoughts based on what I have read.
Studies of CO2 concentrations based on the content of glaciers claim that during the time, 600 million years ago, when earth had it's biggest explosion of life specie types, CO2 concentration was 16 times what it is today. Earth was very lush in greenery. It is likely that the dinasour could not thrive in our atmosphere today because of our low CO2 concentration.
CO2 concentration is known to vary significantly in cycles of thousands of years.
Mankind, of course, does affect CO2 concentration as does the fruit fly and the rats in Baltimore. I am reminded of the classic joke about the flea crawing up the elephant's leg with sex on it's mind!
I urge you to keep an open mind and stick to science where most of us here live.
To those of you who still believe in catestrophic death of the planet by mankind, why are you not concentrating on reducing the population explosion, a much more serious threat?
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Atmospheric chemistry is very complex science with various processes work in tandem. Here, we discuss only about chemical transformations by ruling out transport and deposition processes, in the atmosphere. There are many chemical mechanisms available to choose from and work with for the chemistry and air quality studies. People work with either one mechanism for specific problem or many mechanisms as part of "intercomparison of mechanisms". A lot of such studies have been carried out so far.
Despite being it complex, one has to have kinetic level understanding of the processes in the modeling. Here, I would like to know if the atmospheric chemistry modelers have that understanding already. If so, how did they develop that skill?
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Inventing of the artificial chemistry is definitely to be avoided if we want our models to have any relation to the real atmosphere. This problem was discussed by Heymann (2010): Lumping, testing, tuning: The invention of an artificial chemistry in atmospheric transport modeling (Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics)
The paper was published in the special issue dedicated to modeling and simulation in the atmospheric and climate sciences and the text is available on request in the RG system.
Considering the complexity of the problem it is indeed very wise to perform first the detailed kinetic studies (both theoretical and experimental) followed by the rational compression of the chemical mechanism. In this area I would like to suggest Sportisse (2000): Reduction of Chemical Kinetics in Air Pollution Modeling., J. Comp. Physics, Vol 164, issue 2, p 354–376
The reality of chemical modeling is that some atmospheric chemistry models still use the outdated lumping methods. It is indeed an excellent idea to revisit these problems.
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I spent couple of days for searching daily global aerosol deposition datasets but I found that most of the models simulated in monthly time steps. Since daily AOD from different models and satellite observation are available, I was wondering if it is possible to convert AOD into the deposition (wet/dry) rate.
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Bikas, I would partly answer your question about dry deposition. Firstly, Indirect dry deposition rate calculation just from AOD value via inversion technique is a complicated non linear problem and in model it computes the depositional flux/rate(kg/m2/s) by multiplying in-situ concentration(kg/m3) into deposition velocity(m/s) this it self is a function of size distribution modes and resistance terms. I am hoping if you get the size distribution any how from AOD and resistance terms, you may give it a try to compute dry deposition rate. However, also please note here we have neglected wind advection, diffusion and source terms this might not be true solution. So, I would suggest let the model handle those terms instead. Run a model !
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I have the following file.grd with the content shown below. This file is an output of the program CALPOST, which reads the outputs of the program CALPUFF. I can read the file.grd using R and raster:
library(raster)
r1 <- raster("file.grd")
class : RasterLayer
dimensions : 29, 29, 841 (nrow, ncol, ncell)
resolution : 3, 3 (x, y)
extent : -43.5, 43.5, -43.5, 43.5 (xmin, xmax, ymin, ymax)
coord. ref. : NA
data source : /home/sergio/Documents/CALPUFF_EPA/POST/CALPOST/rank(1)_so2_1hr_conc.grd
names : rank.1._so2_1hr_conc
values : 0, 17.56 (min, max)
spplot(r1, scales = list(draw = T))
origin(r1)
[1] 1.5 1.5
However, the raster does not have coord. ref. and it is centered at 0,0. It seems that the units ar km.
Thanks
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Hi, I also recommend you to use Surfer program to view your grid file, i think this is appropriate method with CALPOST output
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I want use the libradtran to calculate the aerosol radiation effects. So, I intend to import the outputs from atmospheric chemistry transport model to the libradtran. Who can tell me how to dispose? Thank you!
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Ok. Thanks for your reply!
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It is often said that when we were hunters we were more healthy, handsome, slim and higher, than after assuming settled rural lifestyle, causing diseases and adiposity. And if we start to "breed" wild animals in their natural environment, incresing areas of their natural habitats in the place of agriculture terrains exclusively devoted to needs of breeding our livestock? Could we lost or win on that? The biodiversity certainly would. Let us compare the two numbers from an attached picture:
(f) vertebratas: –28.9%; (i) ruminant livestock: +20.5%.
It demonstrates that we lost (by deforestation) for free approximately the same amount of meat as we produce in costly industrial breeding; If we have to be superpredators (which we are), wasn't it be better to left the forest for wild animals (deers and boars) than cut it for pastures and fodder for our livestock?
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It is a very interesting and valuable comparison. Could you apply the same scale for all (for instance, the percentage of 1960)? Otherwise, the visualization can be misleading. For instance, the dropping forest areas, the very steep line is only 2.5%-5% drop; vertebrata abundance 55% drop; CO2 emissions 350% increase; human population 150% increase, livestock 60% increase.
In the case of CO2 the emission itself is a poor measure since the effect is via the increasing CO2 level in the air not by the emitted carbon, besides the impact of changes in CO2 level in the air has no linear correlation with climate change.
I suggest to change CO2 to GDP increase since GDP has a strong correlation with the environmental burden caused by human (not only CO2 but wastes, pollution, exploitation of natural resources).
The global GDP was 1.37 trillion in 1960 and 75.85 trillion in 2015 what is an astonishing 5530% increase.
I have been all about sustainability and forests in my entire life, but considering 2.5% decrease in forest areas (only in developing countries and the decrease is slowing down) compared the 5530% increase in production and human wealth paint a different picture. It is not sustainable, but...
You can use the graph of the Earth's overshoot day as well to illustrate the impacts.
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To what extent biomass burning (or forest fire) affects marine productivity?
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Adverse impact
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Secondary aerosols are becoming a huge concern during pollution episodes esp. in cities. They can make up to 50% by mass of the total aerosol loading at a given time. While it is clear that some chemical species are only known to be produced by gaseous precursors rather than being directly emitted, how do observational scientists distinguish between primary and secondary aerosol species from their measurements, or do they?
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Dear Tabish and Janusz
Primary particles are directly emitted by processes such as biomass burning, incomplete combustion of fossil fuels, volcanic eruptions, and wind-driven or traffic-related suspension of road, soil, and mineral dust, sea salt. Also biological aerosols are important  and often ognored (plant fragments, microorganisms, pollen, etc.) and considered as primary aerosols. Secondary aerosols  are formed by gas-to-particle conversion in the atmosphere (new particle formation by nucleation and condensation of gaseous precursors). You can also have a mixture of both as biological micro-organisms can stick on SOA (mixture of primary and secondary aerosols). One kind of  hybrid is called polluen (pollutant + pollen) (see http://www.jle.com/fr/revues/ers/e-docs/synergie_entre_pollens_et_polluants_chimiques_de_l_air_les_risques_croises_130005/article.phtml). This mixture is rarely considered.
Concerning oxidized nitrogen only NO (nitrogen monoxide) and N20 (nitrous oxide) are directly emitted in the atmosphere. Particles of NO3-  is formed through reactions in the atmosphere and is therefore a secondary aerosol.
Concerning reduced nitrogen, only NH3 is produced and NH4+ is obtained through oxidation and therefore is a secondary aerosol also. Same for sulfates.
Sulfate, nitrate, and ammonium are important inorganic constituents of urban aerosol particle and account for 30-70% of PM2.5. Through filter packs , it is  possible to identify these species. However, there are numerous challenges ( see
In fact, accurate determination of the chemical composition of air particulate matter is a formidable analytical task.  (see Poesch p 7523 near the bottom, i.e. refered by Janusz above )
So the bottom line is a knowledge of which species is primary and which is secondary is helpful but not sufficient given the complexity of the problem (contamination by biological particles, formation of hybrid, etc.). Actual technique cannot resolve everything.
My hope in the future is that a particularly challenging application of aerosol mass spectrometry develops, i.e. the one with high relevance for public health and security is the identification of biological particles and pathogens (bacteria, viruses, spores, etc.). i.e primary and secondary mixed aerosols.
Hope it helps
Alain
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I am wondering to know the exact and most appropriate method to studies the magnetic properties of ambient aerosols.  
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One way that may be appropriate is to use electrostatic precipitation. Using either point-to-plane or wire-to-plane corona discharge would allow direct collection on a magnetic pole surface for further study.
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Lots of studies used WRF/Chem to simulate aerosol direct radiative effect on boundary layer structure. I am curious about any observation to support their conclusion regarding the slight stable potential temperature profile? Especially in a heavily polluted condition, like haze in China.
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I suspect that Harry is correct. That the light winds lead to high pollution levels. High pollution levels do not cause light winds.
On the other hand, winds caused by cold polluted air rushing in to replace rising warm air could cool the warm surface since they would block the solar radiation that is warming the surface, and thus cause the winds to become lighter. In that case the lapse rate in the boundary layer would change.
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Generaly,the fungal concentration has to be higher in PM2.5 than in PM1 because PM2.5 is inclusive of PM1. However, it is totally different with the result obtained in the current qPCR experiment. The PM1' fungal abundance (1.3 _ 105 copies m-3) is higher than that in PM2.5 (9.4 _ 104 copies m-3).  I am curious about the potential explantion.The value is against basic law of physics.
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Interesting ...
I had a read of your ACPD manuscript ( http://www.atmos-chem-phys-discuss.net/acp-2017-204/ ) and I have some comments that hopefully will help answer your question.
First, and as everyone here has said, do make sure that your PM heads are the right ones (i.e., that they were operating within their flow parameters).
Now, I was as intrigued as "Referee 1" about the fact that you report higher concentrations of fungal spores on PM1 than on PM2.5 filters while the PM1 fraction is contained within the PM2.5 fraction.
I have two comments about this issue. The first one on the nature of PM1 and PM2.5 and the second one on the uncertainties of the measurements.
First, PM1 and PM2.5. While it is true that, conceptually, PM1<PM2.5. That is true in practice only when you sample with one inlet. As you and anyone who has captured filter samples "in the wild", two PM1 filters sampled side by side will NEVER measure exactly the same concentration of particles, now if you have a cascade impactor then you can be sure that the what is on the PM1 stage is not on the PM2.5 stage but with parallel samples (as per your setup) you can't be 100% sure of that and you need to assess your uncertainty about the full PM1 and PM2.5 concentrations.
This leads me to the second point about uncertainties. I had a look at Table 1 in your article and I estimated the 95% confidence of the means that you report for "Fungal SSU rRNA gene copy number" for the PM2.5 and PM1 fractions:
  • for PM2.5: 10 +/- 3 * 104 copy/m3
  • for PM1: 14 +/- 7 * 104 copy/m3
Which to me says that those two means are not significantly different.
And now things make some sense in my head because the concentration of fungal spores as a fraction of the PM concentration is less than 0.1% which is a lot less than the variability you'd find between identical instruments sampling the same air. In my experience, 1% agreement between "side-by-side" instruments is an excellent result and you're well within that error margin.
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what are the atmospheric aerosol are and their impact on health and climate?
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Dear Mohamed,
this publication will provide a good overview for your question:
Pöschl, Angew. Chem. Int. Ed. 2005, 44, 7520 – 7540
DOI: 10.1002/anie.200501122
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I am trying to derive a relation with traffic volume and pollutant concentration observed during daytime for a week. It is seen that from time series of both data, the traffic volume seems to have an inverse relationship with pollutant concentration. I believe due to favourable meteorological conditions at day time, concentration is getting dispersed although the emission increases. Is it possible to remove the effect of meteorological parameters by deseasonalizing the pollutant data, so that the underlying trend between traffic and pollutant is more clear?
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To really understand your correlation, you need to allow for the vertical turbulent structure of the boundary layer, which maximises in most circumstances through daylight hours because of solar heating. At night, radiative cooling tends to lower the height of the boundary layer, leaving less air to dilute the traffic emissions. One way to do it statistically is to characterise all visible cycles and subtract them from the data: the diurnal weekly and seasonal cycles of winds, temperature etc which are meteorological, and of the traffic flow which is anthropogenic. The results may be useful statistically, but need to be viewed with caution from the point of view of scientific understanding.
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Does everyone believe the airborne fungal contribution to  organic matter in PM2.5 (0.096%) truly nonnegligible? Why?
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It must depend on the presence of fungi that spread by means of spitting out pores. I'll send you an article  by W. Ebert et al, ACP 7, (2007). We measured size 1-2 u in an isolated 100% RH cave (no possibility of outside aerosols getting in), The concentration was about the same day or night. When humans entered they caused similar size aerosols, so that the percentage of the fungi/spores aerosols varied.
If you want these publications give me your e-mail address. Once i tried to attach it here and then it all got messed up.
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I would like to get equation for temperature + salinity corrected Henry's law constant to find the air-sea exchange of PAHs.
Please help me,
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I am estimating air-sea exchange and flux of PAHs
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Hi, i'm looking for reflectance signatures of pure CO2 and H2O aerosols. Thanks. VIS & NIR bands.
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ok means solid particles of what shape etc
is not  a question in the areas you indicate. Those are for aerosols as occurring on planet Earth
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Previous model investigations both on Beijing area and on the outskirts pollution have shown that based in US EPA Models-3/CMAQ about 34% of PM 2.5 on average and 35-60% of ozone  - in the Olimpic stadium site - can be attributed to sources outside Beijing. Our activity using passive sampling (at present still unpublished) has clearly shown a potential for a sensible influence  for e.g. SO2, O3, NOx and NO2. I am not aware that other activities employing passive sampling having the purpose to discriminate both types of source of pollution, has ever been performed.
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Dear Francis,
We have not yet considered the influence of atmospheric pollutants that cause acification on the paintings we study. One set of paintings is in an hermetically enclosed environment and we have the impression that that causes problems. Do not why yet. They are in Norway so we expect a clean atmosphere. 
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I am working on the biomass burning aerosols over South-East Asia using satellite database. Can someone suggest me how I can distinguish between different types of biomass burning i.e., agricultural residue burning, forest fires etc.? Can we use the satellite sensors which provide trace gas information such as CO, O3, SO2, NO2 to identify the different sources of biomass burning aerosols?
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Kenneth,
Yes, if you have them boots on the ground trumps theory and is the way to go when available.  Of course, things that have to do with plume size, concentration levels, transport direction and pattern, and frequency are things more difficult to do by just looking out the window.  As we know remote sensing will never replace field work but it can help focus and optimize the field work (e.g., it can tell us where and when to go out) and add to any analyses of the impact of fires and the smoke emitted by those fires.
I have heard on the news as to how bad things are in your neck of the woods; good luck and I hope the fires settle down soon.  The smoke plumes are quite extensive when looked at on the MODIS images.
Pat
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I used WRFChem V3.5.1 to simulate aerosols and gas concentration over China during Nov,2015, and I found that at some grid the simulated SO2 and NO2 concentrations were negative, how can I deal this ?
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Are you running it with monotonic and positive definite namelist options? That may help.
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 If the volume flow 10 SCCM at ground level. The what the flow rate at 12 km above the sea level?What is the factor?
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Thank you very much for your responses @Rick and @Duraid....
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I'm looking for a specific reference describing ozone chemistry in the upper troposphere associated with biomass burning emissions. I particularly want to know whether the OH radicals in the biomass burning plume are just from background or chemically produced though the ozone -related chemistry (e.g. RO2 or HO2 + NO). Can anybody let me know any specific references regarding those? I've already found several relevant references, but could not get the exact answer for my question. Thank you.
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had a look into your credentials and see that you are yourself working is this field
and specifically participated in modelling work on HONO, a prime primary source for OH
So I ask you what is known on HONO from BB
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I am getting low BC and PM concentration on the days coming after dense fog events whats may be the reason ?
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Dense fog events sometimes result in the increase in PM concentration during the events. Hence the PM level on the days coming after the fog event days could be seen relatively lower than the event days. I think you need to check whether the PM concentrations in the fog event days are much higher than usual or not, so you can make sure the PM concentrations in next day are really low. Please find the attached paper showing the changes in meteorology and PM concentration due to a severe fog event. You will be able to find a couple of similar papers and they would be helpful for you to figure out what you want to know. Good luck.
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some reconstruction shows little or no change from current conditions in low latitude regions and significant warming of the ocean surface at mid and higher latitudes of both hemispheres. how to explain that?
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Callendar, G. S. ‘The Artificial Production of Carbon Dioxide and Its Influence on Temperature’. Quarterly Journal of the Royal Meteorological Society 64, no. 275 (1938): 223–240. doi:10.1002/qj.49706427503.
Callendar (1938) suggested that increasing CO2 operates by warming the surface not the air since the absorption there is saturated. Warming the surface in the tropics causes evaporation and clouds which limits any heating there. OTOH, in polar regions the rise in surface temperature is amplified by the ice albedo feedback, which operates provided no clouds form.
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SOA formed in the chamber experiment was collected on filter paper and extracted in methanol using orbital shaker. Now extracted is required to dry, how it can be done using nitrogen.
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You need a stream of dry N2.  Th e gas can be dried, e.g by passing it through a glass container immersed in a cold mix like dry ice/acetone solution.  The dry gas can be warmed through a glass coil in a waterbath before use.
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Northern Hemisphere 23 days and southern hemisphere 28 days. 
Source: PgNo228, Atmopsheric Chemistry and Physics, Second Edition, Authors:John H. Seinfeld and Spyros N Pandis.
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I pointed out it's a question how long the air and the concentration of its pollutants/nutrients (nutrients, like CO2), depends on the presence of sunshine (the energy source) and also how close it is to the CO2 source (the earth). So, perhaps, there is less sunshine, or less CO2 sources, in the southern hemisphere. compared to northern hemisphere. To prove it scientifically would require a huge grant. Not likely to be solved in the near future.
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The reason why  mobile method is effective than stationary method.
The example of this research.
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See the attached publication by Hagler et al., "High-Resolution Mobile Monitoring of Carbon Monoxide and Ultrafine Particle Concentrations in a Near-Road Environment".
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Can anybody share the experience how to prepare the inlet system when I want to try to measure atmospheric nanoparticles (mobility diameter particle as small as 2.5 nm) at high altitude (~4 km)? I attach the meteorological conditions (T < 10 oC, Rh fluctuated, P ~ 650 hPa) at the site (Source: http://www.jma.go.jp/jp/amedas_h/today-50066.html?areaCode=000&groupCode=34). So far, I try to use the plastic tube from the outside to the diffusion dryer (then connect to the nano-SMPS with the flow rate 1.5 lpm) and to the pump with the flow rate 20 lpm. Thank you very much.
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the reference provided by dr Junkermann is exactly what you need
As for the publication: the authors are prime aerosol scientists and members of GAW as you can see in the WMO document
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All of we know that, noble gases are highly inert in nature.. in periodic table before the Argon, Helium and neon are also there...but why Argon is present more  in the earth atmosphere rather than neon?....
What is the role of argon in evolution of earth's atmosphere..
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When the solar system formed from the nebula, only the massive gravitation enabled the gas giants - Jupiter, Saturn, Neptune etc - to retain the lighter inert gases such as helium. The ones heavier than argon are very rare as mole fractions and only a vanishingly small fraction have escape velocities of > 11.2 km/sec at about 600 K, the temperature in the Earth's thermosphere, where the mean free path is long enough that molecules can follow ballistic trajectories into space. Argon-40 alone has a local source, from the radioactive decay of potassium-40 that has been operative since the formation of the nebula and which continues in Earth's interior. The escape velocity of O-16 atoms from Earth is higher than that of argon-40, and yet Earth has retained its oxygen: only about 10**-84 O atoms have velocities at 600 K large enough to escape Earth's gravitational field. A fuller account can be found in "The Elements: their origin, abundance and distribution", P A Cox, OUP, 1997.
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I was reading this paper, Bertman, S. B., J. M. Roberts, D. D. Parrish, M. P. Buhr, P. D. Goldan, W. C. Kuster, F. C. Fehsenfeld, S. A. Montzka, and H. Westberg (1995), Evolution of alkyl nitrates with air mass age, J. Geophys. Res., 100(D11), 22805–22813, doi:10.1029/95JD02030 (link attached), and had a hard time trying to derive equation (12) from equation (11). If anyone knows how to do that, help would be highly appreciated.
Thank you
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I encourage you to reach out to the authors, despite that some students are reluctant to do this. The first author has a web page at http://homepages.wmich.edu/~bertman/
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The simple answer to this question of whether single particle is "better" than ensemble (bulk) particle analysis is... one needs to be specific about what they are looking to learn.
Single particle chemical analysis of aerosols is complementary to ensemble or bulk analysis of aerosol: each gives you a different kind of information.  
Single particle methods excel at describing the mixing state of the aerosol (do chemicals reside in the same or separate particles?) and can do a nice job in determinations of aerosol source contributions to an air mass, but tend to struggle with mass-based quantitation.  Single particle mass spectrometers produce large datasets in relatively short time frames, requiring data clustering methods (ART-2a, K-means, etc) to reduce the data to something more analytically manageable.  Microscopic single-particle techniques (when operated without computer automation) can have the opposite problem, where they can sometimes struggle to provide statistically-robust data due to high analytical costs per particle, but provide high resolution spatial information and now some even provide spatially-resolved spectroscopic information.  
Ensemble aerosol techniques provide strong mass-based quantitation of the aerosol population, which is valuable for many types of studies in which mass closure is important.  Since aerosol mass increases as the cube of the particle size, these measurements tend to emphasize the influence of larger particles on the sample, unless the technique explicitly size-segregates the sample.  Ensemble aerosol sampling, when performed at sufficiently high temporal resolution (e.g., real-time mass spectrometry), can be used to understand aerosol sources using a source-receptor data analysis tool -- Positive Matrix Factorization has been widely applied for this purpose in many studies for over a decade.  Bulk/ensemble analytical methods fail to describe the mixing state of the particle population, and sometimes can struggle with accounting for changes in number concentration of small particles, which do not constitute a large influence on the total aerosol mass, but can be important for cloud properties, for instance.  
Both types of information are valuable, but which one you require depends very heavily on the type of scientific question you plan to ask.  If you're looking for a study where both are used, I'd recommend the attached companion papers by Dall'Osto et al. and Decesari et al. where they use both techniques to characterize aerosol in the marine boundary layer.  There are a lot of examples of studies where it is stressed that one of the two approaches is more appropriate for a certain application, but without knowledge of your scientific question, this would be difficult to help you assess which would be more appropriate.
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I want to develop the method on CAD but the component showing good response on UV but very poor in CAD i tried to optimize it through power function, charger current, temperature of detector.....but non of this working. Can any one suggest me what could be the best way.........
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Dear Rahul,
i have limited knowledge on the CAD detector, but i assume it would be helpful for the professionals here to know if you have done a standard test according to the manufacturer and what matrix you are running on your LC-UV-CAD (?) system.
There are a few simple possibilities such as matrix effects, so you may have a high background signal and your analyte is buried in there.
Good luck.
Axel
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Do you have information about average concentrations of major ions (chlorides, sulphates, hydrocarbonates, sodium, calcium, magnesium) in atmospheric precipitation in unpolluted areas of Europe?
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Vasyl
Here is a publication which will help you:
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Any experience and references on this subject would be great!
Especially clean up procedure!
Thank you!
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There are no useful approaches to dioxin (PCDD/F) analysis on LC-MSMS. The main issue is that the separation of the (2378 and non 2378) congeners with their individual TEFs (Toxic equivalency factors) is only possible on a GC column.
There are approaches for the analysis with triple quads (e.g. the TSQ Quantum XLS Ultra)  instead of the usually used sector field instruments but they are also in combination with GC (see Thermo Application Note: 52266).
For cleanup you may have a look at ISO 16000-13 and ISO 16000-14, but again You will need a GC instead of LC.
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 I have also checked the wind trajectory the wind is not coming from the ocean side. So, what could be the other possible sources of Na, Cl and K in typical urban environment.
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Most significant source of Na+ and K+ is atmospheric mineral dust. Another potential source of K+ is biomass burning emissions. In urban atmosphere, anthropogenic sources are dominant for Cl.
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I am looking for paper(s) giving the oxidation rate of amorphous silicon under atmospheric conditions (humidity roughly around 40%). From our experiments it seems that (CVD)-deposited a-Si has a very high oxidation rate, and the oxide is very thick compared to c-Si (which I think is not surprising). Even more interesting would be to get the oxidation rate of a-Si formed by ion bombardment. Could anyone suggest some literature or share the experience? Thanks a lot in advance.
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In crystalline silicon there is actually the phenomenon that the oxidation rate depends also on the doping of the silicon. Both boron doping (from concentrations >1e20cm-3) and phosphorus doping (from concentrations >1e19cm-3) increases the oxidation rate compared to non- or moderately-doped silicon. Has the effect of doping on the oxidation rate actually also been looked at for amorphous silicon?
  • Do the oxidation rates or limiting oxide thicknesses of a-Si:H (hydrogenated amorphous silicon) depend on the doping concentration or dopant type?
  • Does phosphorus or boron incorporation in non-hydrogenated amorphous silicon (e.g. from sputtering) also depend on doping?
[...possibly despite the fact that the conductivity type may not be really affected by phosphorus or boron incorporation in non-hydrogenated silicon?] 
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Can anyone suggest me some articles regarding source apportionment of gaseous compound using EPA PMF 5.00. Moreover, It will be very helpful if someone share his/her experiences and difficulties in working with PMF 5.00 while apportioning sources of gaseous compound.
Thanks in advance. :)
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It is very difficult using JUST those gases. They have many similar sourced and photochemical reactions, I am afraid it cannot be done
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CO2 fluxes are in molecule/cm2/s. I don't know how to convert it into ppmv. I would be most grateful if anyone can give me some suggestions.
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Thank you sir.... than you for your information....
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Hi, I am trying to determine Black and Brown carbon from SPM collected in quartz filter using a soot scanner model: OT21 optical transmissometer. This instrument uses two different wavelength one in IR region for determination of Black carbon, another in UV range for determination of Brown carbon. In the manual of OT21, it is written than Black Carbon can be determined quantitatively. But no clear indication is given about Brown carbon. Can someone suggest me, whether I can determine Brown carbon quantitatively by this instrument or not?
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Assuming that brown carbon (BrC),  representing only humic like substances (HULS), is emitted from biomass burning, it is possible to quantify its mass concentration relative to a standard prepared from salts of humic acid/fulvic acid. However, there are recent reports suggesting BrC from fossil-fuel combustion, with different spectral properties and mass absorption efficiency. Thus, quantitative determination of BrC is a matter of ongoing debate. You may like to go thru following article:
Srinivas, B. and M.M. Sarin. Brown carbon in atmospheric outflow from the Indo-Gangetic Plain: Mass absorption efficiency and temporal variability, Atm. Environ. 89, 835-843; doi.org/10.1016/j.atmosenv.2014.03.030, 2014
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An 8th grade student wants to see how the conc. of CO2 changes the conductivity of air, ala air pollution (CO2) from combustion. Could one just use a TCD- with N2 as carrier gas-add CO2 (the sample) and measure the signal as a function of CO2 (%)?   Air is 78% N2--so N2 is close to air, and air (O2)  would burn the TCD resistors.  This is a neat Wheatstone  Bridge--and maybe one can get a relationship to ohms, and then CHANGE TEMPERATURE OF THE CELL---and compare to literature. May be a bit narrow T range.
What do you think?
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One could do that. There is sufficient difference in thermal conductivity between nitrogen and carbon dioxide to get a usable signal. However if the student is looking at normal carbon dioxide concentrations in ambient air (~400 ppm or so), the change in conductivity will be minimal. The thermal conductivity values could also be calculated based on the concentrations and standard values. The only case where the change would be substantial would be in the case of flue gas or combustion exhaust.
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I hope anyone working with the thermodynamic properties of moist air is aware of the history surrounding this topic. There are numerous errors in the literature related to the properties of moist air. The original data trace back to Hyland & Wexler, who worked for the National Bureau of Standard (NBS), which is now called the National Institute of Standards and Testing (NIST). The tabulated values in the recent editions of the ASHRAE Handbook of Fundamentals are correct, but the equations are wrong in most editions. If you write the equations provided in the accompanying text into functions in Excel and calculate some of the values in table, you will find that the two don't match. These errors go back for decades, in which errata were issued which fixed some errors but introduced new errors. NIST has lost H&W's original documents, but there was a copy in the archives at the Library of Congress (LOC). Several years ago a colleague, Al Feltzin, went to the LOC and made a photocopy of the original data, which, as it turned out, matched the tabulated data, not the equations. The ASHRAE table has since been updated, but the equations are still wrong. Do not use the saturation pressure of water vapor over water liquid when calculating the properties of water vapor in air. It's not the same. The equations in the ASHRAE handbook for enthalpy are also wrong. Again, use the table, which doesn't match the equations. The differences may seem small, but are significant in precise measurements and calculations. [Of course, there's really no excuse for there being any differences at all.] I have implemented the tables precisely in C and VBA (i.e., Excel macros), which I will put on my web page for convenient download for anyone who might need these.
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I don't have the copy of Hyland & Wexlar's work anymore. I lost more than half of my textbooks and three-quarters of my notebooks to water damage last year. Al Feltzin may still have a copy. The important thing is that the tables in the ASHRAE Handbook of Fundamentals are OK. It's just that for many years the equations didn't produce the results shown in the tables. I have attached the tables as well as a link to the source code and Excel Add-In.
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Hi,
I am analyzing DEW WATER chemical composition. I have to calculate Backward Air Mass Trajectories from NOAA Hysplit model for tracing the sources of trace metals and ions. But i am not sure about the correct MAGL (Elevation) suitable for dew. Although, i have got a paper which suggest 100m elevation as dew is an lower atmospheric phenomena (Comparative chemical analysis of dew and rain water, Atmospheric Research 95 (2010) 224–234), But i want to be sure. I am planning to calculate it with 0-100m, 100-1100m, 1100-2500m. Hope someone have better suggestion. Thanks in advance.
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The first two answers raise some salient points with which I concur. Something else to be borne in mind is the chemical composition of air close to the ground; as well as varying with the PBL meteorology as described in the first answer, there are many shortlived gases, some of which are either or both reactive and soluble. Ammonia is prominent among these, depending on location and local biota, it can have very large fluxes from and to the surface and its biota. There is often also a rich variety of organic compounds, viruses and bacteria which are very far from being well characterised or understood. In principle and in practice, they can affect the surface characteristics of water droplets, see for example Donaldson & Vaida, 2006. Chemical Reviews, 106(4), 1445-1461. Finally, equilibrium is a bad assumption in most cases of atmospheric phase changes.
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If you can't physically be in the environment you're learning about, would listening to it's sound recordings aid your learning?
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This is 2016. If it is important that you "experience" the environment and can't be there, at least be there virtually in both the auditory and visual domains. You can equip a manikin with microphones for binaural sound recording and with a camera for binocular video recording and then play them or stream them so that you can experience the environment for the duration of the recording or stream from the reference pointof the manikin. How tht would add to your learning about the environment would depend upon what you need to know. 
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To provide formula if any.How can I calculate nitrogen deposition in atmosphere?
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Reactive nitrogen also includes NH3 and its reaction product NH4+ aerosol. Moreover, also NO3- aerosol. Maybe you could specifiy why you need this information, e.g. the surface for which the deposition should be calculated, if you want to know the deposition around a point source etc.
In general as Anand has provided there are two forms of deposition: dry deposition and wet deposition. Then there are two possibilities for the calculation:
a. Directly/indirectly from measurements
b. Using an atmospheric transport model which includes information on emissions, meteorology, chemistry, surface properties etc. 
Ad a. From measurements:
Whereas wet deposition can be determined relatively easily from measurements, measurements of the dry deposition are very complicated and time consuming. For that reason the dry deposition is often calculated from measured air concentrations and modelled dry deposition velocities, taking the properties of the surface into account.
I attache some files with information on NH3, NH4+ aerosol.
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We are designing a LiBr+H2O solar absorption  cooling system where we need a pressure in the range 80 - 90 kPa in the condenser side and a pressure in the range 8 - 13 kPa in the evaporator side.
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Respected sir,
I m using vacuum pump to create pressure difference in the system.What u have to do is that you can divide whole system in two part
1. Absorber+Evaporator
2.Generator+Condenser
By keeping expansion valve closed,couple the vacuum pump with evaporator and condenser , you can easily achieve two different  pressure in system.
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I want to compare the MOZART-4 simulations with different space borne instruments and In-situ measurements over the Indian sub-continent.
Thanks in advance.
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Did you check Warner et al., ACP, 10, 9521-9533, 2010 ?
Their Fig. 4 and 5 seem to be what you are looking for.
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I am planing to conduct a comprehensive research study on atmospheric wet precipitation in rural and urban environment of India to address:
1. Physico-chemical characterisation (inorganic and organic species) of rain water samples during a period of couple of years to assess associated spatiotemporal trend.
2. Distribution pattern of measured species between aerosols and rain water along with associated atmospheric chemistry
in connection to above stated plans, I am interested in new emerging objectives, especially for India type of atmospheric environment and different types of methodological approaches including sampling plan, choice of chemical species, and different mathematical/statistical methods of data interpretation to meet out the emerging objectives.
I shall be highly grateful for your valuable suggestions.
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Please take a look also at this link: http://www.surfaces.co.il/geostatistics-and-rainfall-with-r/, maybe it will be useful for you.
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I am looking at isotherm models for gas adsorption in particular CO2 adsorption and which to model my experimental data using the Dual Langmuir model. How do I calculate the unknowns in order to do the model?
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Dear Emma Daniels
You can fit out your experimental data with curve fitting tool of matlab software. So determine the p(pressure) and q(loading) values separately in command window, then typed cftool(p,q). A window will be opend, you can select the arbitrary equation. select the custom equation and type the equation of DSL. The unknown 4 parameters will be calculated. How ever you can obtain the best line by setting the values in fit options.  
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I have a reactor tube (length 70cm, diameter 20 cm) and I wish to see what the air/gas is doing as it enters the tubes.
I imagine sampling some kind of smoke/visible gas to the tube would do the trick, but I don't know how to generate something suitable and would welcome people suggestions.
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Hi Leigh
You could also "seed" the flow using atomised olive oil, for example, and then capture imagery using a high-speed camera.
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I want it to convert total column to mixing ratio.
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Dry air mass contains no water vapor. Also air with low relative humidity and low dew point is theoretically dry. For example; when air with low dew point is collected from outside and is heated inside the relative humidity of the air will decrease. Air could be regarded as dry even when the outside relative humidity is high enough but dew point is low. Why do we say this? this is because, even if the air has high relative humidity outside and is brought inside a laboratory and heated the relative humidity will decrease appreciably.
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Is there any other method?
In most of the research papers i have found that generally the formula used for calculation of non sea salt fraction, Na measured is used multiplying with the sea ratio for particular ion with Na. 
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Magnesium is alos a crustal element so it is not as good as sodium as a teacer for sea-salt.
Also: part of the chloride of seasalt can be sustituted by sulphate and nitrate by a reaction with sulphuric acid and nitric acid. This is known as the Cl-deficit
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I have surface ozone concentration data for few months and I want to determine if temperature remains constant what would be the concentration of ozone? How can I do this? Please support with statistical equations, literatures and calculations and however you can.
Thank you very much.
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I would say it is virtually impossible, because temperature is not independent parameter. I am pretty sure that CTM is necessary.   
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I'm preparing a xerogel and wanted to get rid of the boron in NaBH4. I've read that preparing the NaBH4 in a solution as a reducing agent will reduce chlorides but I still don't understand how it reacts with air to decompose. So 24 hours seems like an ideal time to allow the boron to exit, I just don't want the NaBH4 to reduce the D-Glucose in the solution. Any ideas would be appreciated
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Thanks guys, I got the ppm right
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I am building a pH meter and am in the process of choosing my working electrode. I have narrowed the choices down to metal oxide electrodes in wire form. The reference electrode is an Ag/AgCl pellet electrode. I'd appreciate any help or insight on the matter.
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