Science topic

Weather - Science topic

Weather is the state of the ATMOSPHERE over minutes to months.
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As a sustainable agricultural practice no-till is always recommended by the conservation agriculturist. Most definitely, it changes the soil ecosystem (enhances the microbial community) and the functioning of the soil. Manny researchers observed an increase in organic matter and enhanced water holding capacity. Does it mean that no-till will significantly increase steady-state infiltration rate or (field saturated hydraulic conductivity)? How much regional weather (or climate) could impact the re-building/regeneration of soil?
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Diatomaceous shales are easy to weathering once excavated. The most dangerous and unmanageable factor is water that could be penetrated from surrounding area. Anybody know how to protect diatomaceous from such situation?
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Mr. Lu
Few options:
if superficial water:
- apply Gunitte to the face of the slope; and or
- excavate backslope berms, dig and install an impermeable channel to collect runoff water and remove it from the site; or
- build a reinforced wall (probably the most expensive and permanent option).
if water infiltrates into the shale and sort of liquidfies it:
- drill slightly inclined holes into the the face of the slope, deep enough to go beyond the horizontal surface of the putcrop, then perforate and screen pipes to be pushed into the holes. They will serve as “deep drains”.
Finally: you should seek the advice of a Geotechnical Engineer or Geologist.
Good luck!
P.S. cartridges filled with Diatomaceus Earth (siliceous) are used in Filtration units (O&G) To remove micro particles of completion fluids.
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In TRNSYS simulation, how can we input weather data?
I obtained my weather data including ambient air temperature, RH, and horizontal outside solar radiation. However, it is difficult to understand the connection between components.
I mean the connection between building, weather and solar radiation components.
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Go to settings (left-hand bar) on TRNSYS interface program and set simulation start time and end time according to your requirement.
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Is there any weather data morphing tool (for hourly weather data) to predict climate change for future using the IPCC AR5 (assessment report 5) emission scenarios I.e. rcp 2.5, rcp 4.5, rcp 6 & rcp 8?
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@Naveen Kishore have you found a way to do this by any chance?
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facts about hysteresis effect and research papers related to it in case of climate ?
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I order to build a solid base for our understanding of the problem of hysteresis in the atmospheric systems let us start from the fundamental "laboratory" of the atmospheric dynamics given by the Lorenz equations.
The corresponding discussion is outlined briefly in the following paper:
Analysis of the Lorenz system is useful to identify in which range of the parameters we can obtain the hysteresis or other behaviours of the nonlinear system. Based on my observations it is useful to start from the idealized equations before embarking on a complex model.
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I have coordinates for several locations, and I'm trying to get the weather at those locations during the period of time "between 2005 and 2010," but we are unable to manually do it due to the bulk of the data. Is there an other method, such as using an API or other codes?
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Yes, <a href="https://www.getambee.com/">Ambee’s weather data APIs</a> provides you with historical data for the past 30 years. Their APIs provide historical weather data very accurately for locations across the world. If you want an API-free product Gspatial.ai from Ambee can also help. They provide historical and global environmental data for practically the whole world. You can use this for any of your use cases, be it small or big. They also provide data in bulk if you require it. The collection of historical weather data is done using an advanced weather data collection system. This is their website: https://www.gspatial.ai/
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What kind of scientific research dominate in the field of Global warming?
Please, provide your suggestions for a question, problem or research thesis in the issues: Global warming.
Please reply.
I invite you to the discussion
Best wishes
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The cost and benefits of global warming will vary greatly from area to area. For moderate climate change, the balance can be difficult to assess. But the larger the change in climate, the more negative the consequences will become. Global warming will probably make life harder, not easier, for most people. This is mainly because we have already built enormous infrastructure based on the climate we now have.
Climate Q&A - Why is global warming a problem? (nasa.gov)
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I would like to determine the performance of an installed PV power plant. What is the way foward to do that?
I have measured values of each secondes, minutes of the plant.(batt, PV,Load,weather,ect)
Thanks
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Dear Erika Carmen:
You can benefit from this valuable articles about your topic:
#############
Also this valuable online calculator:
Also these valuable attached pdf files...
Best wishes...
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I have to resolve a problem in a small basin in Greece.
1. As HRUs i took these from: https://swat.tamu.edu/data, Landuse Maps-Europe/Asia (resampled) and Soil Maps-Europe/Asia. But i cannot make or find .csv files from these maps. Unfortunately, the above datasets include only maps. Is it necessary for the 2nd step of SWAT (create HRUs), or i can insert the above maps and solve my problem with global Landuses and global Soils?
2. At 3rd step of SWAT, the Rainfall Data input in what form and style must be? Is there someone who could indicate me one example? Moreover temperature Data and else Data there, are necessary or not for the resolve?
3. Finally, i would ask about Weather Generator Data. I choose WGEN_user, and the program wrote Station count 4. This is really the correct number of my meteorogical stations. How the program recognize the number of them? Maybe, because i entered their info (i.e. ID, NAME, LAT, LON, ELEV) in the database (which was created for my Basin) in the tab called weather_sources (in Access)
Thanks a lot
Maria Kofidou
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Dear Ali Bennour,
as i understood i must put in the tab WGEN_user of the QSWATRef2012.mbd my stations' info (id, name, long, lat and elevation)? Because in the .mdb of the main project (which is created) there is no WGEN_user tab.
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Currently I would like to investigate whether the measured weather data (rain fall, humidity, sun radiotion,..) correlate with the measured plant height. Plant height was measured three times a week, whereas weather was recorded each day. I hypothesize that weather data are not directly reflected in plant biomass and that effects in plant parameters are delayed (shift) . Do you have any idea how to analyse that in R ? I already tried to plot weather and plant parameters and shifted one of the curves to latter time points and see whether I can detect a potential correlation (or the number of days of the delay in reponse).
Best,
Isabelle
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The studies described in this question should consider the soil system to properly account for memory effects. A nice general summary of the problem is described in the following site:
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Which website can I get a valid weather report for research purposes
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For reports, you can check WMO and IPCC websites.
You can also check with your nation's meteorological/hydrological offices or websites.
Thank you
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Weather Station network is installed in a city to understand to local climate conditions. The meteorological data like air temperature, relative humidity, dew point, precipitation, etc. is obtained at very fine resolution (sub-hourly time step). Such datasets are very beneficial in understanding the spatiotemporal dynamics of microclimate.
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may consider fetch length as a criteria
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What strains of PGPR grow in harsh conditions?
Temperature (5-20)
salinity (0.1 - 1%)
PH ( 4.5-8.9 .)
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I have a calibrated ArcSWAT Model (v. 10.7 2012). I have the issue that when I try to add future climate change data that I am unable to add data, since I get the error message that states "Watershed Theme Not Found".
My steps were to click on Write Input Tables, then choose "Weather Stations". Please see attached screenshots.
I should mentioned that I made a duplicate of the project, however this version is the original version of the model. So I do not understand why this is happening to both SWAT projects.
I hope someone can help me solve this issue.
Thank you in advance.
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Ali Bennour I gave up and started to rebuild it. Nothing I did worked and I am very short on time to turn in my MSc Thesis
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I have a soil sample which will undergo testing in 2 days. The lab where we will conduct the testing suggest that we dry the sample before bringing it to them so that we could save time in oven drying. The problem is the weather has been very cloudy for the past days. There are times when it's raining too. Does anyone know any way we could somewhat dry the sample since we do not have the luxury of oven drying for 24hrs before conducting the tests? Thanks
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@ Jun, if you have microwave then also you may dry the soil rapidly. Otherwise, you keep your soil in well ventilated place and operate the fan in full speed.
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How has Africa’s colonial past affected Africa? Africa has vast mineral, agricultural resources including good weather so why is it poor?
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Hello, yes, because no, Africa is a vast region full of important resources in the world. It has not been ineffective, but for a true economy, liberalism is not the only answer
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We Can’t Control The Weather: How Reliable Are Wind And Solar Really?
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I was simulating weather station data on the ArcSWAT extension of ArcMap. I have successfully completed the HRU anlysis and the station data integration. When I reach on the Write SWAT Input Table, I receieve this technical error [Syntax error in UPDATE statement.: IN mWriteInputFiles.mgt], attached in Figure. Is anyone who can share the tip as solution? Thank you.
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Thank you Rechard. I am checking everything.
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hi
i want to do a simulation of HVAC system of building using TRNSYS but i need to create the weather file of my city ,i try to use meteonorm but i didn't find a free download for windows 7, please i need the software or a different way available for TRNSYS
THANK YOU!!
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You can also find the EPW files (and other formats) at:
This is a repository of free climate data.
Kind regards,
JL
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Weather forecast has utmost importance in Aviation, Ship routing, safety measures, planning and designing of structures, urban areas, offshore maintenance, natural resources, coastal areas, Agriculture, pollutants management and in many more weather applications in world wide.
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A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day—or longer—forecast is only right about half the time.
But Extreme Weather Prediction models are yet to reach accuracy
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There is nothing worse for curb appearance than chipped and cracked concrete, particularly in steps. But you don’t have to put up with that blight any longer. By the result of weather changes exerted on an existing construction for prolonged time, it causes contraction and expansion those gradually results concrete steps cracks and break up with time.
Dear researchers, I would like to get expert opinions on how to fix this issue with,
optimum efficiency
low cost
prolonged sustainability .
Your answers are highly welcomed.
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En mi pais, hay material especial para tratar estos casos y otros mas; por ejemplo selladores, alquitranes, y otros.
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Hi,
I would like to run a few numerical experiments with WRF where I change some initial conditions, for eg. the wind shear and study the effects it has on the simulation of various atmospheric parameters. Could someone please guide me as to how I can go about doing that? How can I change certain initial conditions to study their effect on the simultion?
Thankyou.
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Hi, Vijayan Gv
When you run the WRF model, it will takes a few hours of "spin-up" time to ensure the stability of model integration. Thus, I'm not worried about the problem caused by changing a few values in the initial field. Of course you can use nudging to moderate the spin-up if necessary.
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Hi,
I am currently working on predicting energy demand for a polytunnel and I need weather data. I am a new user of TRNSYS18 and was wondering if I am able to download the IWEC data file for the location I need. Is this possible, if not what is the best approach?
Many thanks.
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The SWAT model didn't report any errors in the previous operations, but when I click "Run SWAT", it runs not successful(fig1). I open the slr.slr as it tells me , but I don't know how to find the error. One more question is that, whether my chooses are correct in the window(fig2). Can anyone tell me how to do? Thank you very much.
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There is an error in your solar radiation data, you can check the format of the data. you can only run your model using temperature and precipitation data.
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I am trying create triplet dataset on Agriculture. I am new to SPARQL . I am trying build a query so that
1) I can fetch pest name, attacked corps and geo location of it's existence.
2) Corps name, region name where it grows and required weather
Etc.
Can anyone help me with the query or any resource from where I can learn to build them.
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I wish you all the best I apologize that this is not my specialty
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I`m conducting an online questionnaire where the weather is one of the attributes.
Everywhere I looked there was no internal consistent scale on how the weather is like.
Participants go out and perform a sports activity and afterwards fill out a questionnaire where they put a few things in that happened during the activity.
One important thing here is the weather. If it was sunny, rainy, cloudy and so on. Does someone have a hint where I could find such a scale?
Thanks!
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I want information on weather the soil is compacted or not.
For this can I have some values to be taken into account for different kinds of soils to say its compacted soil or non compacted soil in agriculture fields perspective.
May be for various soil types I can check the following value/ range of values
1. Soil Bulk density values
2. Soil Infiltration test values for
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Bulk density is a measure of soil compaction. How much a soil can be compacted is understood by a Proctor test or Compaction test done in soil mechanics laboratory. A curve is obtained by plotting bulk density vs moisture content after a core of soil is subject to pressure. At a particular moisture content the compaction (density( is maximum and it decreases on wither side of moisture content. This is largely dependend on soil or sediment texture (incl coarser fractions).
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Hi all,
I am trying to look at the relationship between young birds' survival rate and temperature variations. For survival rate estimates, they are in annual resolution e.g. bird survival rate =20% in 2001 and 30% in 2002. While temperature measurements are in monthly resolution e.g. Jan 2001 average temperature = 10degreeC, Feb 2001 average temperature = 15degree C etc.
I tried running two linear regressions between 1) annual average temperature (averaging monthly weather estimates) and annual bird survival rate, 2) monthly average temperature and monthly bird survival rate (copying annual estimates so that all months of each year have the same values).
These two regressions yield very different results. The one using annual weather estimates showed a significant relationship between average temperature and survival rate whereas the monthly one showed no significant association.
I wonder if the difference in result is caused by copying and presenting the annual survival estimates in monthly resolutions? And should I use the annual method or monthly method to get a more accurate result from linear regression?
Thank you
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Hi,
I think it may give different results as in monthly data you have more variation (extreme values). However, when you average this monthly data to make it annual, then it become smoother in contrast to the monthly data. This can be one of the reasons.
Good luck!
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Hello,
i want to do the interpolation of the weather data from mess station to my interest points. Before that i need the data from mess station. But the data are not distributed very well and some data were missed. So i think about it and i have the idea, first to do the interpolation of time sequences to get all the data from mess station in all time point and then from the data in mess station to get them of my interest points. Has anyone done it before or what do you think of this idea? Do you know some good methods to do the interpolation of time sequences. My Weather data are temperature, wind speed, wind direction, humidity and dew point. thanks.
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Did you solve this? I was thinking to use kriging but how do you add the time component? any python library available?
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I am tackling with Vessel Optimal Routing Problem taking into account weather uncertainty.
In Vessel Optimal Routing Problem, there are some layers.
The simplest one is to optimize Speed Allocation on the deterministic Route and Weather. For this kind of problem, you can get the "literally" Optimal Speed Allocation by DP method. However, a kind of this DP problem is NP hard, so when I get Optimal Route & Speed Allocation, this method will not work because computational resource matters.
Now, I want to introduce Uncertainty that weather forecast data inherently has. I want a "good enough" routing and speed allocation under weather uncertainty.
It looks like stochastic routing problem, and I am trying it with Genetic Algorithm.
Applying GA to a lot weather scenarios from PORT A to PORT B will give a "good enough" vessel routing and speed allocation.
But, I am not confident with validity of my way.
I would appreciate if if you give me an advice or tell me recommended article.
Thank you.
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In order to start please kindly consider the following paper
The problem of optimization of ship routes with respect to meteorological factors is very well known with the vast literature. You can quickly review some of the most relevant positions after a Google search with the following key phrase:
optimization of the routes of ocean going vessels with respect to meteorological factors
Which algorithm is most relevant to your question? We can try to answer this question after you select the most relevant papers from the suggested. Google search.
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I have recently collected BSG from a local brewery, since I live in Himachal- sun dry method is not really helpful as it is continously raining here.
I have separated 12 kg BSG approx in 6 wide trays and kept it for sun dry for 6 days, weather wasn't supportive but atleast it got little better and was able to evaporate the dripping water.
Now my BSG is very moisture loaded but not dripping wet, so I kept in dryer cabinet at 60 degree Celsius for 7 to 8 hours.
I have been repeating this procedure, it has been almost 6 days now but no results.
It is still very much loaded with moisture.
Can you suggest me better ways of going through and drying it as fast as possible.
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Thanks for replying, I haven't tried these methods, I surely will though.
Although now my BSG has been completely dried, it took me approx 2 weeks to dry it in cabinet dryer for 60°C for 6-7 hours routinely.
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In Europe the analysis and diagnosis of numerical weather forecast models and the fist guess is baseon on surface observatiions in situ, toguether with a number of observations at high levels e.g, by ballons and radiosounding. Satellite and radar imagery is also available in big areas as oceans and deserts. Weather satellites can help to see the top of clouds ans radars the "radiography" of precipitatinf arc clouds an so on. Then if automated weather stations can be installed, do you really need weather people to attend the stations? I am looking for both in favour and in contrary reasons. can you help me with your summary ideas as phicisits and /or meteorologist? MAny thanks in advance, Paloma Castro
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Dear Paloma,
I guess it depends on what precisely you mean by "automated". As far as I can see, a great deal of weather stations are already running at least semi-automatically by employing automatic, continuous data logger etc. Many can also be managed and programmed remotely. However, as with all machines, there will always be a at least a minimal degree of on-the-ground human maintenance necessary. I hasten to add, though, that at the end of the day, I still see a lot of value in the "human eye" and - as relates to forecasting, issuing warnings etc. - in the "gut feeling" of the meteorologically trained observer/forecaster and his or her long-time experience in "reading" the weather. He/or she will be well advised to combine both models and personal outlook. But I guess your question pertained more to data collection, rather than forecasting...
Thanks,
Julius
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Specifically, I am interested in adaptation of FWI which takes into account the different types of vegetation or biomass under study.
For example, I know a study about the adaptation of FWI to Mediterranean forests ( ). Do you know similar studies that consider vegetation properties and characteristics when calculating FWI?
Other question is the following:
as FWI was originally introduced for the Canadian forests, do you know FWI performance for very differents ecosystems (e.g., taiga)?
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Hi, I used the MDC (adapted from the DC which is part of the FWI) for Mediterranean ecosystems to assess the fire danger with good results*. However, I never properly adapted the FWI and I am really interested to have informations about it too :-)
* Lestienne et al., 2020 : https://www.mdpi.com/2571-6255/3/2/8
Lestienne et al., 2022 : https://rdcu.be/cFHMn
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Hello, I have downloaded weather data from the SWAT site for the calculation of the water balance of the basin. I got 35 stations for my specific watershed area. Now, these weather files for 35 weather stations have precipitation values, max and min temp values, R. Hum, solar radiation and wind speed values. For one weather station, I have all these data in one excel sheet for the entire time period that I selected. That way, I have altogether 35 files. Do I really need weather inputs from these 35 weather stations? Tell me how should I edit these files for my region for each parameter in one file to use as input files becoz it will be very tedious to arrange one after another station data in a single file for the entire time period. Please suggest to me what should I follow.
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Hello Pooja Kumari. As you mentioned SWAT needs all this data to calculate the water balance for the basin in question, especially Evapotranspiration and runoff. In addition to the monthly rainfall data, SWAT requires other rainfall metrics with numbers of wet days, dry days, maximum rainfall in 30 minutes, among others. Unfortunately this data must be inferred tabularly (one by one, month by month) in the model. You can do this through the application in ArcGis, or simply edit the SWAT2012 input file in the WGEN_user tab. Now if you are running the model from source code, I believe you should just format your data in text files and call the data. Hope this helps.
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Dear all,
Is there websites that give accurate wather data to use them in a study of the physiological rythmes according to climate changes ?
Thank you
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https://lishi.tianqi.com/. This website can find the history weather data of China.
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How the solar storm related to Earth's weather?
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The following RG link is also very useful:
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I need the historic weather data of a location (say of last 10 years). The data of interest are dry bulb temperature, relative humidity etc. Can anybody suggest the authentic and reliable source for getting such data for free.
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The frequency and intensity of drought hazards in the horn of Africa are increasing from time to time along with its numerous and complicated negative impacts.
Weather variability and climate change are also inherent in deriving the changes coupling with anthropogenic factors.
The region is known as being one of the least developed in terms of economic, social, and technological advancements.
The region is also fast growing in terms of population.
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I have a ten year weather data with daily interval. I plan to use the LSTM encoder decoder architecture for modelling and forecast the 30 days weathers parameter. May i know how should i decide the length of the input sequence to be used for prediction. Thank you
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1-st of all, the fundamental assumption of any forecasting technique (implicit or explicit) is that time series represents a stable pattern that can be identified and then extended into the future. If a pattern of the past data-points (10 years daily weather data-points, total 3650) is not statistically stable (and it is typical with changing weather data pattern), then no meaningful future prediction (forecasting) is possible regardless of the sophistication of the forecasting technique.
2-nd, it seems reasonable to assume that too ‘old’ data points do not practically affect (correlated to) the most recent data-points, let alone the future data.
The data points that are strongly correlated to the newer ones can be used for making the forecast while the weakly correlated to the newer ones (or not correlated at all) should not be included for forecasting; otherwise, the forecast will likely be skewed.
Thus, the use of too many available past data-points worth of several years of data is not usually needed for making a meaningful forecast; in fact, the use of a lot of past data-points can be detrimental to producing a reasonably accurate forecast. The length of the input sequence to be used for prediction (or the number of ‘steps back to the past’) at which the older data-points are still strongly enough correlated to the newer data-points can be estimated using an autocorrelation function (ACF) of a time series. The ACF is a measure of a linear interdependency between the data-points separated by k time units (time lag).
A possible measure of a correlation cut-off value k is the first zero-crossing of the time-lag axis. However, this metrics will include quite a few data points that are weakly correlated to the new data-points, with the correlation coefficients in the range 0 – 0.5. Sometimes, the correlation cut-off lag is defined in the literature as the smallest value K that makes ACF(k) < K, where K=e-1=0.37 or K=0.5.
At the same time, it is usually accepted that a strong enough linear correlation coefficients start with 0.6 or greater. Therefore, it is reasonable to assume that the number of the past data-points used for the purpose of forecasting (a cut-off value of a time-lag) corresponds to the ACF of about 0.6.
Some examples of the number of required past data points to make a forecast for a number of time series is in the attached file.
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Hello. How can I get the weather data of a location in a specific year, exported as TMY2 file in Meteonorm or any other software? For example, I want to have the weather data of Missouri in 2014.
Thanks for your help!
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Come across experimental work and literature survey papers, but by reading them weather really all papers are based on innovative research work!
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Of course, It is necessary
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Hello All,
I am looking into the tangible impacts of climate emergencies in the next 5 years on residents (e.g. overheating in summers, UK houses are not designed for hot weather, disruption in supplies, the holiday destinations (fires in Turkey)). I need to communicate this to audiences with diverse (educational) backgrounds. Please let me have your thoughts.
You can send me the links to papers or resources.
Your support is greatly appreciated
Noor
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1. Polar ice melting fast. People cannot travel over ice to go hunting /working
2. Greenland Ice melting too fast and causing sea level to rise
3. Permafrost melting releases tremendous amount of methane gas into the air (bubbles seen in lakes and swamps. If you collect gas, it burns with a flame)
4. Isolated communities in the North need ice roads to get supplies and groceries. If ice melts, their supplies will cost a lot to be sent by air.
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I am creating a hydrological model using qswat+ and swat+ editor using 11 IMD stations in CSV format for weather Generator data and text documents format (SWAT 2012) for observed weather stations data. While importing data to SWAT+ editor, took so much time since 6.00 AM from the morning without any error. I didn't get any error messages till now. How can Interpret this is it normal or error?
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This is normal because there is a lot of data and your computer is not very powerful
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I am currently working on climate data for my research. I got daily weather data for minimum temperature, maximum temperature, and precipitation for 35 stations and for 40 years (e.g., 1980-2020). How can I downscaling the data with 5 arc-minute spatial resolution and for different time slices (e.g., 2030-40, 2050-60, 2090-2100)?
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I'm part of a project creating a public atlas to document and map people's subjective experiences of extreme weather events. I've included information and a link to a short survey below. Feel free to fill this out yourself, and/or forward to your networks via email, social media, etc. Thanks!
Extreme Weather Events Survey
Ecologies of Harm: Mapping Contexts of Vulnerability in the Time of Covid-19 The University of British Columbia
This is a digital commons project intended to provide equitable access to knowledge.
COVID-19 presents the potential for people and groups to become exposed to harm in new ways. To see the overlapping ways in which these harms may be occurring, we’ve designed a survey for experiences of extreme weather events that are affecting people across the world.
This is a citizen / community observation survey, open to anyone 18 years of age and older who wishes to contribute. Your descriptions will upload directly to an interactive map of the world that is publicly accessible on this website: https://blogs.ubc.ca/ecologiesofharmproject
Your participation is entirely voluntary, and you do not have to answer every question. If you do wish to participate, you do not need to record your name. You may contribute as many observations as you like!
Please share widely, and keep in mind that re-posting, “liking,” or “following,” will be visible to others on public network platforms.
Link to survey: https://arcg.is/fvO4G0
Principal Investigator: Dr. Leslie Robertson
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indeed very interesting
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What are the most serious problems of civilization development that should be solved as soon as possible? What are the global problems for which research should be developed and solutions to these problems resolved in 2019 and in subsequent years?
One of such research problems, which should not be postponed for an indefinite future, is the need to develop environment-friendly sustainable economic development in order to slow down the adverse process of global warming.
With the warming of the Earth's climate, the risk of more dramatic climate cataclysms, including tsunamis, increases.
Tsunami may be a derivative of the global warming problem. Global warming generates an increase in climate disasters, including more cases of tsunamis.
But not only is the risk of more violent and more dramatic tsunamis rising. Also in recent years, there has been more other types of climate and natural climate catatics, such as droughts, rainstorms, tornadoes and weather anomalies.
At present, it should no longer be asked whether global warming generates an increase in natural disasters only what rate of growth will be recorded in the future? So many data, research centers confirms the progressing process of global warming, that the problem is unquestionable.
More and more data points to the growing risk of climate change, unfavorable for human and life on the Earth, increase of climate disasters, climatic and weather anomalies, which are the result of global warming, rising average annual temperature near the Earth's surface.
Now we should just ask: How can these adverse processes be counteracted? What ecological technologies, renewable energy sources, how to help natural environments, how to rebuild them, such as afforestation, to build natural ecosystems absorbing greenhouse gases?
How to develop ecological business ventures? How to create financing systems for this type of pro-ecological projects? How to dispel international cooperation in this matter? What actions should be taken to move towards the development of a new ecological green economy?
How to develop environmentally sustainable economic development to slow down the unfavorable warming of the Earth's climate?
Please reply. I invite you to the discussion
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China is experiencing a “national movement” as companies, regional governments and academia shift gears to help the country meet its climate goals. The world’s top carbon emitter has, for the first time, published plans broadly outlining how it might achieve net-zero carbon emissions by 2060, and a peak of emissions before 2030 — promises it made in 2019. The move has spurred more than ten prominent universities and institutions to set up carbon-neutrality-research institutes already this year; the Chinese Academy of Sciences launched a centre last month. But some researchers are still disappointed with the climate commitments the country has made so far...
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I am trying to figure out the best way to obtain an undisturbed sample from unwelded soil-rock mixture material from the site ie. Landslide deposits, weathered granite, etc. I couldn't find any standard reference yet from ASTM or ISRM regarding the procedure.
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Please try to get saprolite sample beneath the soil profile developed in residuum over granite gneiss/granite rock.
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Dear all members,
I am studying about WRF to compute weather's parameters.
So, I consider affording a reasonable-priced device so I can install WRF and explore it - as a NEWBIE!
I have questions like:
1/ Can WRF be installed on CentOS 7. I prefer CentOS to other kinds of Linux (like Mint, Ubuntu, RedHat or something like that)
2/ A mobile workstation (like Dell Precision 7510, 7710 with Xeon-cpu inside - JUST 4 CORES COMMONLY ) could run WRF model well, couldn't it. Actually, a MOBILE workstation like that has a powerful CPU inside. But I'm confused by the number of CORES, i think it should have some cores more for better performance.
(I would study on WRF 4.0 and later version, domain for about 200*200 for a specific region like a state of America [U.S.])
I really appreciate your help! Thanks for all!
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Of course, you can run WRF on a laptop but with minimum requirement.
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Hi There !
I'm working on predicting crop yield based on VIs indices and weather variables, i have a stuggle on how do i combine all variables to a county level before applying the random forest.
Could anyone help me on this ?
it is by calculating the mean of values for each varable per month (if the month was the common temporal resolution) for that specific county ?
Many thanks !
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I think a good choice is the SAFER algorithm (Simple Algorithm for Retrieving Evapotranspiration) , which estimates ET through biophysical parameters, it considers temperature, NDVI and precipitation.
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In certain research papers, I have observed that they have carried out steady state simulation using CFD through ANSYS for solar collectors.
Apart from saving computational time, storage, and efforts, what is the benefit of doing steady-state simulation for a process which in real life is time-dependent due to the intermittent nature of solar radiations and other weather conditions?
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A simulation is always an approximation of reality. It is the analyst's task to decide whether a less expensive steady-state simulation can be a reasonable approximation of a transient phenomenon. If this is not the case, a transient analysis is necessary.
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If we say that we have the data for daily mean temperature with a resolution of 1km x 1km. What is meant here by resolution "1km x 1km"?
Thanks in advance
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Dear Hasan,
this means that the weather/climate data set you're working with offers a maximum spatial resolution of 1 square kilometer, i.e., a 1 km by 1 km grid cell. So your data points will each pertain to one such 1 km × 1 km grid cell. Consequentially, you won't be able to say anything about spatial temperature variations WITHIN any single grid cell. Thus, you can only compare whole (1 km x 1 km) cells with each other. In short: Your data set only offers ONE single ("aggregate") figure for a given atmospheric parameter for a whole 1 square kilometer grid cell.
Hope this helps a bit and please do not hesitate to get back should you have any further questions.
Best,
Julius
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Hai.
I am trying to use Infocrop model for climate change effect. I have imported csv file of daily weather data from 1971-2002 into infocrop. It has successfully created the 32 files and CLI file also. When I create the project and use the weather file, it does not list out the years in the pull down. So please tell me the what is the reason and how to solve, or is their any other way to import the weather file,
Thanks in advance.
Meti
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Facing the same problem
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There is a network of weather meteorological stations in a city and I would like to assess the representative ratio of each one. Would you suggest to me a methodology to do this assessment? Thanks
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Lady, it is possible that the site is influenced by the buildings in the surrounding areas. First, I suggest making sure that each station is somehow measuring unperturbed flow conditions and that temperature and humidity sensors are not heavily influenced by buildings and the contrasting vegetation/built footprint.
Correlation or regression approaches among the sites, as suggested by other RG members, may work, but the influence of the rather strong diurnal cycle on surface station parameters will obscure a deeper insight of such regression approaches.
I also suggest looking carefully how the sites are located relative to the aspect of the complex terrain (if any).
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Hi everyone,
I wanted to know what is the best method or software to model only surface runoff, I am not interested in sedimentation, or water quality, I just want to model runoff. I have land use maps of 3 different years, soil map, DEM, and weather data, so I want to see what is the runoff for each of the land use maps of my study area. So is SWAT better or is HEC-HMS better or even just using the SCS-CN method?
Thank you for your sugesstions.
Majid
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Dear colleagues,
Does anyone know if there is any rainfall threshold (mm/year, month or day, etc.) for a city to be considered "rainy" or "very rainy"? Or the rainfall intensity thresholds (weak, moderate, heavy, etc.)? Are there any international standards, for example from ISO or another institution? If there is a reference to support it, it will help better.
Ditto for wind speed thresholds (m/s or kt) for a place to be considered "windy". Does anyone know any references?
Thank you in advance for your attention.
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Dear Christiano,
The concept of Precipitation Concentration is crucial to understand the spatial and temporal patterns of precipitations. Many authors define thresholds which mostly converge: the most common (you can find in the following open access article) are :
Wet day: >= 1mm/day
Heavy wet day: >= 10mm/day
Extreme wet day: >= 50mm/day
Best regards,
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I would like to perform building simulation under future climate. The time interval of the most detailed GCMs is every six hours. Is it possible to derive hourly weather data from GCMs using RCM (RegCM)? Thank you.
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Morteza Babaei Thank you very much for the information. It is very helpful.
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Hi,
I am currently doing a project where we basically want to predict some outputs of PyPSA model based on the features of the inputs to the model, in order to reduce computing time by running the model.
The inputs to the model are weather data of onshore, offshore and solar capacity factors (basically telling you how good the renewable energy resource is) on a hourly resolution. We are calculating different features of these inputs, for example the annual average capacity factor, the average worst week in each year for each input resulting in one value pr. year of the given features. We have 37 years of data, and we also have the resulting outputs of the model, but would like to be able to predict the outputs just based on these features of the inputs and not running the whole model. Also for each 37 year time-span, we vary the CO2-constraint and transmission constraint, meaning we actually have 6*6=36 different outputs for each year. 37 years of data then gives a total of 36*37 = 1332 target values (rows) with several features (columns)
We would like to apply Multiple Linear Regression and some different machine learning algorithms in order to predict the target values (outputs of the model) based on the features (weather data).
However, the problem arise on how to order the data correct. Since we have 36 DIFFERENT target values for EACH year, we have the same, repeated input value 36 times. So for example for the year 1979, the varying CO2 and tranmission constraints mean that we have 36 different values of system cost. However for the same year, we have the SAME annual average onshore wind capacity factor repeated 36 times. The problem is illustrated in figure 1 (notice that the column of "year" is not to be used as feature but only illustration purpose). We are thinking to use dummy variables to describe the 6 different CO2 and transmission constraints (see figure 2). However, as seen we still have the weather data variable repeated 36 times for each year (notice the pictures only illustrate partly the year 1979, but the same pattern is repeated the next 36 years). My question is then - is this a adequate method of structuing the data for use of Multiple Linear Regression and in general some other Machine Learning algorithms? We are afraid that the repeated weather variable will have a negative influence on the results since these make the outputs vary between 36 values for each value of the variable.
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J. Rafiee
thank you for taking your time to answer. I think this is what we also figured might actually be the best way to do it but were a little unsecure about it. We are currently already using Pandas in our coding and it is very helpfull, but thank you for the tip.
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In the world, the COVID-19 increaseing day by day in hot/cold weather. Weather parameters are not any factor of COVID-19 may be.
What's you think about this one?
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Dear Dr. Ahasan, I found an important article (Rosario et al. 2020) published in pubMed:
This study aimed to evaluate the relationship between weather factors (temperature, humidity, solar radiation, wind speed, and rainfall) and COVID-19 infection in the State of Rio de Janeiro, Brazil. Solar radiation showed a strong (-0.609, p < 0.01) negative correlation with the incidence of novel coronavirus (SARS-CoV-2). Temperature (maximum and average) and wind speed showed negative correlation (p < 0.01). Therefore, in this studied tropical state, high solar radiation can be indicated as the main climatic factor that suppress the spread of COVID-19. High temperatures, and wind speed also are potential factors. Therefore, the findings of this study show the ability to improve the organizational system of strategies to combat the pandemic in the State of Rio de Janeiro, Brazil, and other tropical countries around the word.
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I'm looking for a reliable database or something similar, with historical weather data (actual measurements, not archival forecasts), for selected locations in EU. I need very precision, local information, preferable with selecting location by GPS coordinates, for 2-3 years back. The required data are temperature, cloud cover percentage, UV index. It would be good, if it will be in 1-hour resolution. Could you recommend me any source, that meets at least selected some of requirements? What's your primary source of meteorological data for your studies?
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Hello
I recommend NASA-GIOVANNI: https://giovanni.gsfc.nasa.gov/giovanni/
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Hello everyone. How can we verify from band diagram, weather the band crossing is pointing towards Dirac metals or weyl metals or it is just normal band crossing.? What observation we should make? What confirmations we need to do ? More generally, just looking at the band structure how could we could say. Please guide me. Thanks.
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Hey, for my thesis I need to predict future data ( temperature and precipitation) from 2021 to 2051 of a region in Middle East. I used lars-wg6 but an error occurs saying "cannot find weather data file".
Is there any other way to predict future data using cmip5 scenarios?
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You already have future data using CMIP5, however you can also use these global models to drive a regional climate model and you will obtain through dynamical downscaling future data with higher horizontal resolution and a better representation plus added value to the original CMIP5 models.
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I already downloaded the model from below mentioned link http://www.isa.ulisboa.pt/en/leaf/research-groups/group-ii/downloads
However during weather data input, model shows error of "The names of the weather variables in the first row of the header are misspelled or they aren't in the right order". I tried many times but it shows same error in .tpa or .tpi and all files after preparing the files as per the instructions provided in the manual.
Therefore please help me to download SIM Dual KC Model and any one sample text or excel file of weather parameters which will run in the software .
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Good luck!
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Where can I find wind power data and corresponding weather data (wind speed, wind direction, temperature, etc.)?
The data is best for one year.
These data will be used for wind power forecasting
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Dear Lin Xuan, hope you are fine. You may find all you are looking for at https://www.renewables.ninja/. This website would provide you with climatic data on an hourly basis. Keep in mind that in order to have access to the data for the previous years, you should login to the website at the very first place. You could either enter the name of the city or location of your interest, or enter the longitude and latitude of your concern to obtain the data and download the excel version of it in a few seconds.
Regards
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I am using WRF 4.1 in simulating weather parameters for Indian Region (9km). Initially I have been facing issues in configuring WPS, ARW post due to server architecture (IBM power series). Now i would like to get the wrfout* in .grib2 format and extension
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For grib format you can change compiler flag from O3 to O2 in configure.wrf also more information you can get in https://www2.mmm.ucar.edu/wrf/users/docs/user_guide_v4/contents.html
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We all know that the process of teaching and learning is a philosophy. Therefore, educational institutions are interested in finding the best means and tools that make the learner receive lessons in an effective and thoughtful manner, taking into account the factors of speed and accuracy. Meteorology is a physical science concerned with the atmosphere in which humans live, just as fish live in the sea. Weather phenomena are processes that occur in a large laboratory, which is the atmosphere, in which many factors that take place together influence each other. Being a teacher, learner or new meteorologist, what is the most important topic that should be focused on and understood?
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Dear Sir Thaer Roomi
Thank you for your interesting answer. I agree with you that the term fluids is used colloquially to describe a large class of continuous systems, this nomenclature follows the Euler’s presentation to the Berlin Academy of Sciences In 1757. It is interesting to mention that the mathematical formulation of Newtonian mechanics is also due to Euler as indicated by Clifford Truesdell:
"We may justly wonder that it took more than sixty years for so simple an extension of Newton’s ideas, but the literature of mechanics does not permit us to doubt that it did. As often happens in the history of science, the simple ideas are the hardest to achieve; simplicity does not come of itself but must be created".
I fully agree about a fundamental importance of a sound knowledge of the vertical structure. When talking about atmospheric stability I would like to suggest to study the collected works of Max Margules, they stand today as a prime example of an elegant connection of fluids with thermodynamics. He also contributed to many fundamental theories in dynamic meteorology including the jet stream and the Rossby waves; according to Platzman (1968):
“Margules’ investigation of the tidal equations was the first in which the global planetary wave was explicitly studied from the standpoint of applications to meteorology. It was not taken up again from this point of view until the late 1920’s and early 1930’s when the Leipzig school enlisted it in an attempt to find a theoretical basis for numerous empirical periodicities then believed to exist in meteorological data, ranging from a few days to 37 or more days.”
From Platzman, G. W., 1968: The Rossby wave. Quart. J. Roy. Meteor. Soc., 94, 225–248.
Perhaps we should introduce a new name: Margules-Haurwitz-Rossby waves or even simpler MHR waves.
Please consult also the following site:
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How has weather prediction increased in the developing world. Many developed countries have very accurate predictions due to the dense real-time data network for prediction models.
How good is your countries weather prediction?
Here is an example of a very accurate weather prediction
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Dear Dr. Aref Wazwaz
Thanks for the reply. Indeed Oman and other Arab Countries are using state-of-the-art centers for forecasting weather.
Thanks again
Regards
Gowhar Meraj
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I want to understand the protein interaction of two proteins co-crystallized together, so I can run my own docking simulation on the recptor later on
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Thank you so much, your insights has helped a lot.
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I am trying to buy a weather measurement station at a reasonable price, for research purposes.
I want to collect
  • Irradiance
  • Environment temperature
  • Wind speed
  • Wind direction
I need to record these data with 1 min interval. Very important is that the system includes exporting data future like in form of xlsx or csv file.
Could you please recommend such a station and mention from where I can buy it.
Thank you very much in advance.
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You can constract your own measurment device by using LPC (or arduino) and connect temperature and radiation sensors to the LPC. These components are cheap and available at some storeshops around.
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Rainfall is the major source for water and soil moisture in the semi-arid and dry locations. During summer monsoon season due to failure of rains, agriculture becomes vulnerable and crops faces severe water stress. To get out of this situation governments planned and executed the cloud seeding and got mixed results. As the weather is conducive at one place for getting the rains after cloud seeding and some times due to direction of wind the targetted area may not be getting the rains. This ultimately regarded as failure eventhough the resultant rain occurs in other areas. In view of the above, do we have any other technological (laser / any other light o sound frequency) development for creating rains in the targeted areas?
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I think this technique is the only available one.
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I need a global dataset of weather stations (with monthly resolution possibly) to evaluate my Climate downscaling tool (ClimateDT freely available at https://ibbr.cnr.it/climate-dt/). I would like to avoid to combine thousand of records coming from different counties and services and I was therefore wondering whether somebody else has published something like that in a dataset paper or used it somehow. I know, for example, the WorldClim dataset but this only provides 1961-1990 average data. Thank you in advance
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Worldclim also provides monthly weather data: https://www.worldclim.org/data/monthlywth.html
Otherwise, you can check CHELSA (https://chelsa-climate.org/downloads/), TerraClimate (http://www.climatologylab.org/terraclimate.html), ...
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For Reactor physics and particle transport calculations, weather the neutron is considered as quantum or classical particle? why?
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For most cases the movement of the neutrons described as classical, but the cross-sections of interaction with nuclei are essentially quantum e.g.
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When I want to input weather stations data under "Write Input Tables", I get the error message: "Confirguration system failed to initialise". I want to get rid of the error so that I can carry on to do hydrological modelling. Please help,. Anybody.
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Hi Oscar,
On what OS you are working with which software?
The OS might have updated itself. If it happened, then you may need to reload your software for data transfer
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  1. I was just curious to know the difference between the reference evapotranspiration (RET) and the potential evapotranspiration (PET). Are they same? If not, then what is the basic difference and what is the relationship between them? I mean, if I have PET, then can I calculate the other one or vice-versa? If yes, then how?
  2. I have some automated weather station (AWS) data which contains the sunshine hours (daily). How can I estimate the solar radiation from that data? Is it possible? Also, is there any readily global data available for solar radiation/humidity/wind speed etc data for calculating the ET?
Thanks in advance!
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Just like PET and ETo, there are several concepts, which may confuse you. For example, water use efficiency and water productivity; crop factor and crop coefficient; water foot print and virtual water; diffusion pressure deficit(DPD) and cell water potential; and so on. I have tried to discuss these kinds of issues in my latest book "Irrigation and Water Management" Published by Ane Books, New Delhi (2021)
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Rossby waves, also known as planetary waves, are a type of inertial wave naturally occurring in rotating fluids. They were first identified by Sweden-born American meteorologist Carl-Gustaf Arvid Rossby. They are observed in the atmospheres and oceans of planets owing to the rotation of the planet. He said that these waves drive the lower pressure systems and should be carefully studied and understood. However, some people say that polar jet stream play an important role in the weather of the northern hemisphere. All I want is a simple explanation of this issue.
Regards
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Dear Thaer,
The presence of the polar jet stream is always associated with a baroclinic zone (temperature gradient) to the southern boundary of the jet. Weather fronts occur there (see presentation attached). Rain, clouds, and turbulence are normally associated with fronts and polar jets. Polar jets have oscillation just as Rossby waves. They are connected. The stronger the amplitude of the Rossby wave, the stronger the polar jet, the stronger the front, and the more intense are low pressure and fronts.
Hope that is clear.
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In the past, agricultural field stations (AFS) have provided important insights into cropping systems, and research conducted there has greatly helped to optimize these systems. However, with increasingly variable weather, as already experienced in many locations in a changing climate, reliability of results obtained in field experiments may decline. The question is therefore how transferable the findings from AFS may be