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Tropical Cyclones - Science topic

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The water temperature in summer is over 30 degrees. This is favorable for the formation of a tropical cyclone. From autumn to spring, the water temperature is higher than the air temperature. This is favorable for the formation of a tropical cyclone. The type of atmospheric circulation is anticyclonic. This is favorable for the formation of a tropical cyclone. The width of the Red Sea is more than 300 km and it is more than the diameter of the convective cell that transforms into a vortex. The salinity of the water in the Red Sea and in the Persian Gulf is much higher than usual. Maybe this is the problem? It is known that salt water evaporates worse than fresh water.
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  1. Go to the website https://rammb-data.cira.colostate.edu/tc_realtime/
  2. Click on a year, then click on Indian Ocean.
  3. Choose a cyclone, and then choose Satellite, which is just to the right of "Storm synopsis"
  4. Then scroll down to the middle, to the "Storm Relative 16 km Geostationary Water Vapor Imagery"
  5. Then click on "Loop" and watch the interaction between the "Pakistan-Arabia Dust Cloud"
  6. I gave the six Dust Clouds that occur from Morocco to Pakistan names so we can start talking about them, and their massive impact on the planet's weather--able to trap heat in the air many times better than CO2 or methane. Attached is my suggested map.
  7. Attached is today's potential cyclone forming, and you can see the impact of the Pakistan-Arabia Dust Cloud.
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The Brazilian region has a warm current and for this reason excellent conditions for the formation of tropical cyclones. Tropical cyclones do not form in this region. There are only two cases of cyclone formation. I have attached one of them. There is a phrase: "it never happened and now it happened again." Post the map of the water temperature in the place of its formation (attached the map). There was cold water at the place where the cyclone formed, but it formed.
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Very interesting data! Congratulations. It is important to connect scientific data from various sources to judge whether there are any inter-relationships.
You have provided lots of data for others to judge.
I remember a "celebration" in my geography class (2004 or 2006) when I announced that a cyclone was taking place outside Brazil for, perhaps, the first time in history! That was a memorable event.
The impressive gravity/magnetic anomalies in that area will affect processes within the planet more than surface processes, I would think. Then, other factors such as water temperature (water is much colder here) would have a more direct effect on cyclogenesis probably.
A similar phenomenon on the NE Pacific ocean outside North America prevents the formation of cyclones in that area: The water temperature is always colder there.
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At present, we experiencing a number of intense tropical cyclone/low-pressure events over the Bay of Bengal. To uncover this reason, a hypothesis is raised that while the plastic gets in contact with sunlight, wave, and wind stress, it gets disintegrates and floats over the marine environment in a larger area resulting limited depth of penetration of solar energy in the water column. As plastic is an insulator therefore it creates an asymmetry in air-sea interaction leading to surface water accumulating higher temperature compared to subsurface temperature. Therefore, the ocean loses its temperature-bearing capacity and transfers its energy to the atmosphere leading to the intense formation of tropical cyclones in recent decades.
Please correct me if the hypothesis signifies different ?
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Interesting hypothesis with solid good thinking!
I would think you would need a lot of plastic pollution in the water to have an effect on the overall water temperature.
Do you have a way to measure the plastic content in the water over a period of time? It would be nice to know.
Right now, the reason why cyclones start in a certain area is the high temperature of the water.
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1. It is known that a tropical cyclone receives energy from the condensation of water, which is in the air in the form of gas (https://naukarus.com/globalnyy-tropicheskiy-tsiklogenez-i-27-sutochnye-variatsii-solnechnoy-aktivnosti).
2. Some scientists write that the release of hydrogen from the lithosphere (Syvorotkin V.L. "Hydrogen Degassing of the Earth: Natural Disasters and the Biosphere." Man and the Geosphere. Ed. I.V. Florinsky. New York: Nova Science Publisher, Inc., 2010, pp. 307–347) leads to an exothermic reaction of its oxidation. After that, the water formed as a result of this chemical reaction condenses and additional heat is released. In this case, a binary effect occurs.
3. The results of our research indicate that the release of methane from the lithosphere ) leads to an exothermic reaction of its oxidation. After that, the water formed as a result of this chemical reaction condenses and additional heat is released. In this case, a binary effect also occurs.
4. We have formulated the fourth source of energy. When water vapor condenses, the number of gas molecules in the air becomes smaller. The volume of water in the form of a liquid is 800 times less than the volume of water in the form of a gas. There is a vacuumization and a decrease in atmospheric pressure. In this case, the process of air convection is enhanced. This leads to an increase in the energy of condensation of water vapor.
5. We have formulated the fifth source of energy. As a result of the processes taking place in the Earth's mantle, local gravity anomalies are recorded. these anomalies have a short life cycle (several days). This is a scientifically documented fact. A change in free fall acceleration results in vertical air movement. Above the gravity anomaly with a negative sign, the air rises. According to calculations, the air rise velocity exceeds 2 m/s. Convection is getting stronger. The release of water vapor condensation energy into the atmosphere increases.
This list is not finished, I think.
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A major part could be the low pressure system? For example, when Hurricane Ian made landfall on Cayo Costa with sustained winds of 150 mph (240 km/h) with an estimated central pressure of 940 mbar (28 inHg), as a Category 4 hurricane.
The Super Cyclone GONU Category 5 was 920 hPa (mbar); 27.17 inHg.
Hurricane Frederic in 1979 was 943mb (27.85 inches of mercury)
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On the slide is the famous equatorial cyclone "Boffa". Map from the site "Jaxa".
Additional information in the explanations to my questions: 1. Why do cyclones form at the equator, where is there no Coriolis force? What's wrong with the theory? 2. Why do cyclones with a diameter of several thousand km form in the tropical zone? These are not tropical cyclones (there is no "eye of the storm"). 3. It is believed that tropical cyclones are local eddies that form without a system. I think this is a mistake.
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Howdy, Borys,
Excellent! Your data and discussion cover the character of the region well and clear my curiosity about the cyclone energy forcing process there. It fills out the original image and note. The wave heights image even indicates a cyclonic circulation south of Sri Lanka.
I've learned a great deal about tropical cyclones from you and from both articles cited by Janusz Pudykiewicz (and a dozen articles cited therein needed to follow them). Thank you both.
Happy Trails,
Len
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When a cyclone reaches land, it loses the energy of water vapor condensation, which is maximum over the sea. In a tropical cyclone, the energy of condensation comes in impulses. The night impulse is related to the diurnal variation of temperature. The daytime and nighttime surge of condensation is related to gravity (solar tide). For more details, see the dissertation of my graduate student Vadim Doli. Thus, the destruction of a tropical cyclone on land depends on the phase of diurnal and semidiurnal cycles of water vapor condensation. See my question "Why was Hurricane Katrina a disaster in 2005, but Hurricane Rita was not? They had the same energy." Maybe there is another explanation?
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Look at the graphs from https://hpiers.obspm.fr/. This is a change in the angular velocity of the Earth's rotation and the same without taking into account the tides. With an increase in the speed of rotation of the earth in a tropical zone, the weight of air decreases and convection increases. I haven't yet figured out the connections to the anomalies on August 29 when Hurricane Katrina was devastating New Orleans. Maybe there is an understanding of this coincidence?
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The image was taken from the official UK meteorological website.Quote from our monograph: "It was also mistakenly believed that tropical cyclones form over water, the temperature of which in a layer with a thickness of at least 50 m is at least 26.5°. It is also mistakenly believed that tropical cyclones occur only in the tropical zone The satellite image shows a cyclone with the "eye of the storm" over the Black Sea on March 21, 2002 (in the cold season). Satellite image of a tropical cyclone over the Black Sea in the question titled "A satellite image shows a tropical cyclone at a latitude of 45 degrees in winter. Has this destroyed the theory of tropical cyclogenesis?"
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Dear Borys Kapochkin,
Thank you for providing these examples. The existence of tropical cyclones at the latitude of the Black Sea (where SST is relatively low) and near the equator (where Coreolis force is relatively weak), may indicate that both SST and Coreolis force are not the primary factors that control cyclogenesis in these areas. Thus, it is critical to understand the key environmental parameters that control cyclogenesis. I suppose the cyclonic vorticity affected by atmospheric conditions could play a more important role in cyclogenesis in these areas. But the key genesis factors might change in different areas.
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In the fall of 2005, the Amazon River suddenly dried up (photo attached). At the same time, a little to the north, in the Caribbean, the number of tropical cyclones increased abnormally (the graph is attached). In addition, the formation of tropical cyclones continued until January 2006, see cyclones Delta and Zeta (map attached). It happened in one geographic region. I think these anomalies may have a common cause. I analyzed the gravitational field, which can form an anomaly of high atmospheric pressure in the region. Maybe there are other ideas? In 2010, the drought in the Amazon was not accompanied by an anomaly of tropical cyclogenesis.
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Thanks for the helpful link.
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I have two datasets. One with 9 past cyclones with their damage on the forest, wind speed, distance from the study site, recovery area. Another dataset with future sea-level rise (SLR) projections and potential loss area due to SLR.
  1. By using data from both disturbance events datasets (loss area, recovery area, wind speed, predicted loss area from SLR) can I create any kinds of disturbance risk/vulnerability/disturbance index/ hazard indicator map of the study area?
  2. What kinds of statistical analysis can I include in my study with these limited data sets which will help me to show some sort of relationship of "Loss Area" with other variables?
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I am sorting cyclones (35 years 1985-2019) that were intensified or dissipated rapidly.
While doing this I need a procedure to adopt for the classification of intensification or dissipation.
Would you kindly guide me in this regard, please
Bhutto
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Please kindly consult Ditchek et al.. (2017)
“The Relationship between Tropical Cyclones at Genesis and Their Maximum Attained Intensity”
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I am currently working on coastal water quality assessment. I need the impacts of SST on tropical cyclone formation and its related processes.
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Its very much related because cold water transfer to warm water area. As a result upwelling occours. Surface water very much related to upwelling.
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I would like to know the method of calculation. I mean which attribute(variable) needed from the data and how to calculate. I knew about the trends from the article linked below.
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Normally it is number of typhoons made landfall on a certain region or area of interest. Except this, the trends in Tropical Cyclones can also be checked in their intensity (i.e., if they have become more intense recently).
My following paper might be of your interest in this regard. We checked trends and regimes.
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In the paper:
Hoque, M.A.A., Pradhan, B., Ahmed, N. and Roy, S., 2019. Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh. Science of the Total Environment, 692, pp.10-22.
How is the rainfall intensity calculated using daily precipitation data from 1950 to 2018?
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Dear Piyush
This is a question that is asked frequently on ResearchGate (see here for an example of a recent discussion: https://www.researchgate.net/post/How-to-obtain-short-duration-rainfall-from-daily-rainfall)
The simple answer is that you cannot accurately calculate rainfall intensities for short durations (i.e. less than 24 hours) if you only have a daily time series. However, you can attempt to disaggregate the daily extreme rainfall values. As I mention in the link above the process is as follows:
1. Carry out an extreme value analysis on your annual maximum (AMAX) daily rainfall time series for the period 1950 to 2018. Generally it is best to fit a General Extreme Value (GEV) distribution to your AMAX daily rainfall data. This will allow you to estimate daily rainfall for a range of annual exceedance probabilities (i.e. return periods)
2. Calculate the 24 hour extreme value rainfalls for the annual exceedance probabilities (AEPs) (i.e. return periods) you’re interested in e.g. 1% AEP (1 in 100 year return period) etc
3. Disaggregate the 24 hour rainfall data for different return periods to shorter time durations
I am making the assumption that the site you're interested in is somewhere in India?
If so you could non-dimensionalise a rainfall intensity - duration - frequency (IDF) curve for a location close to your site of interest relative to the daily rainfall e.g. if the 1 in 10 year 20 minute rainfall intensity is 30 mm and the 1 in 10 year 24 hour (i.e. daily) rainfall is 60 mm the ratio would be 30/60 = 0.5.
Following your statistical analysis (i.e. using a GEV distribution) on your daily rainfall at your site of interest you find you 1 in 10 year daily rainfall is 70 mm, you can estimate your 1 in 10 year 20 minute rainfall using the non-diemnsionalised ration i.e. 1 in 10 year 20 minute rainfall at your site of interest = 0.5 x 70 mm = 35 mm.
There are several papers which detail rainfall IDF curves for India see: There are many others if you search online.
I hope that this is of help.
Darren
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I am trying to generate the track of a tropical cyclone using WRF. Initially I tried with basic WRF configuration with em_real compilation but didn't find any script to track down the cyclone path as em_real is not generating any vortex tracking data. So, I recompiled WRF with vortex follwoing & em_tropical_cyclone configuration. But the problem is, still my model isn't generating any ATCF data (or any vortex tracking data) & to be true I am now confused whether I am on the right track to generate those data. At present I am not focusing on forecast accuracy / track variations (will work on physics options later, currently focusing on generating the track data only). I am quite new in using WRF & it will be a great help if anyone can give me some insight on this issue on how to do it.
>. My namelist.wps & namelist.input files are attached below.
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Thanks again for your help. My problem is solved now. It was some file format issue which was causing problem while extracting variable data.
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I am trying to get an accumulated map for precipitation in Giovanni platform. If I use the accumulated map option I get results with an underestimate than the ones obtained by NASA for the same tropical cyclone and time frame.
Do I need to do the accumulation myself after downloading 30-minute cumulation time intervals and run the cummulation in R? My worry is that the data will be a lot and I am not very good at R.
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Hi Helen, you could use CHIRPS, to get daily, monthly precipitation data. Best.
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Dear Colleagues/Researchers,
I'm trying to find out the physics how a fast and slow (separately) moving Hurricane/Tropical Cyclone/Typhoon influence storm surge generation. But so far I haven't found any detail explanation except some generalized statements.
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One of the element to consider is the shape of the seafloor in all the questionable cases. I would perform first a theoretical study with the shallow water system before applying a complete 3D model.
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hello
i am working on a Tropical cyclone intensification in Bay of Bengal
can anybody help me to plot a cyclone tracks using ferret
thank u
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Assuming your would like to identify the center of the tropical cyclone by its low pressure and assuming that you have a series of pressure organized as a netcdf-file, for instance, with three axis:
  1. x-direction (eg. longitude)
  2. y-direction (eg. latitude)
  3. time
So the first step could be to compute the temporal minimum pressure field
let press2Dmin = pressure[l=@min] ! minimum in time
Now lets compute for each time step the pressure difference to the 2dim minimal pressure field
let pressDiff = pressure - press2Dmin
You shall find the center of the tropical cyclone at the locations where the difference is zero
let pressLoc = pressDiff[l=@loc:0] ! Find in time/ L-index
I hope that it helps to answer your question.
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I am working on Titli Tropical cyclone i wanted to include the pressure along with the cyclone track for my work
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I am working on simulating tropical cyclones in the Indian Ocean by weather research and forecasting model (WRF). Firstly, I tried to study the impact of different microphysics schemes on the forecasting tropical cyclones. The cyclone track was far from the best-observed track as shown in the attached figure. Then, I did WRFDA (3DVAR) simulation for the same case to improve the result. WRFDA model estimated the cyclone track but didn't estimate the minimum sea level pressure as shown in the attached Figure. I think that the problem is in estimating the PSFC. Thus, I would like to ask if anyone has recommendations to improve the results.
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Time variation of MSLP is not the best diagnostic for midlatitude cyclones. I propose look at intensity of the vortex during nonlinear evolution for example its vorticity, potential vorticity, mean azimuthal velocity with respect to the core, and pressure contours around the core accompanied by water vapour tracer field. By these diagnostics the evaluation of nonlinear evolution is much easier.
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I want to see the influence of Indian Ocean Dipole (IOD), Convective Available Potential Energy (CAPE), Water Vapor Flux, and Convergence on tropical cyclones' precipitation totals.
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Hi,
"Partial regression" would be very useful in your case, and you can further test for the significance of the individual contribution using "t test".
Cheers.
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I am studying the impact of micro-physics parameterization scheme on tropical cyclone track and intensity. I would like to ask if there is a way to estimate the cyclone track by GIS/QGIS.
I would like to know, if you have any other suggestion.
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Tropical cyclone track could be traced by locations of lowerest sea level pressure data. Here is an example: http://www.meteothink.org/examples/meteoinfolab/trajectory/typhoon_path_trace.html
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How about the structure of inflow layer in the outer circulation of tropical cyclones?
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It is not easy to clearly identify PBL height in the tropical cyclone(TC) partly due to its interaction with the underling warm sea surface during the TC's life time. Observation and modeling data show that tangential winds have their maximum near 850 hPa level and radial winds change their direction near 850 hPa. The radial winds blowing into the TC's center is strong near 950 hPa. On average and roughly speaking, we can say that the top of inflow layer equals the PBL height.
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I want to plot the asymmetry distribution of rainfall during tropical cyclone landfall. Some researchers used Fourier Decomposition method. Is it possible to plot in NCL or Matlab or R or Origin? Any idea, suggestions, and sample code would be appreciate and great helpful for me.
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The Fourier transform can be used to detect regularities in your rainfall data along the time axis. Suppose your data are the rainfall amounts in a time span of about fifty years. If you are now looking at the absolute value of the Fourier transform abs(fft(data)) of these data and you find the highest peak in the x-axis at x=3.25 then this is telling you that a higher amount of rain (compared to other years) is falling every 3.25 years.
A tutorial of how to use the FFT can be found for example here: http://research.stowers.org/mcm/efg/Report/FourierAnalysis.pdf
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I am looking for a single term that can be used to describe both "trends and patterns" of natural phenomenon such as natural hazards (storms, floods, rainfall, tropical cyclones etc.)
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Dear Muhammad, the expression that I suggested is very common and used in many documents. It covers all the hazards that you mention. There are a lot of official documents and articles to cite if search on net. I attach you 2 examples. Regards.
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I have calculated potential intensity for a cyclone using Tang and Emanuel (2012) relation.but at the beginning of TC lifetime U_PI^2 is negative due to larger value of s_b (boundary layer entropy) comparing with s_*_SST(saturated value of entropy at SST). I used averaged values over 4*4 degree domain centered by TC eye at each time step. I used also reanalysis data.
I do appreciate if some one help me
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I want to do literature review about how the surge height changes if there is high tide at the time of landfall. Also I am interested to know the respected inundation scenario.
Anything helpful would be appreciated.
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Namely, is "Putting to rest WISHE-ful misconceptions ... " by Montgomery et. al., 2015, Journal of Advances in Modeling Earth Systems, a final verdict?
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Could you please read as it is in the Abstrct (and the paper attached):
Abstract. The purpose of this article is twofold. The first is to point out and correct several misconceptions about the putative WISHE mechanism of tropical cyclone intensification that currently are being taught to atmospheric science students, to tropical weather forecasters, and to laypeople who seek to understand how tropical cyclones intensify. The mechanism relates to the simplest problem of an initial
cyclonic vortex in a quiescent environment. This first part is important because the credibility of tropical cyclone science depends inter alia on being able to articulate a clear and consistent picture of the hypothesized intensification process and its dependencies on key flow parameters. The credibility depends also on being able to test the hypothesized mechanisms using observations, numerical models, or theoretical analyses. The second purpose of the paper is to carry out new numerical experiments using a state-of-the-art numerical model to test a recent hypothesis invoking the WISHE feedback mechanism during the rapid intensification phase of a tropical cyclone. The results obtained herein, in conjunction with prior work, do
not support this recent hypothesis and refute the view that the WISHE intensification mechanism is the essential mechanism of tropical cyclone intensification in the idealized problem that historically has been used to underpin the paradigm. This second objective is important because it presents a simple way of testing
the hypothesized intensification mechanism and shows that the mechanism is neither essential nor the dominant mode of intensification for the prototype intensification problem. In view of the operational, societal, and scientific interest in the physics of tropical cyclone intensification, we believe this paper will be of broad interest to the atmospheric science community and the findings should be useful in both the classroom setting and frontier research. 
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When we found the non-zero helicity generation during TC formation in the tropical atmosphere (2010), our next step was about whether this might be favorable for the initiation of  large-scale helical vortex-instability. Indeed, we found  the instability by analyzing the kinetic energy of the primary (tangential) and secondary (transverse) circulation in our works  (2011-2016). Though the conditions in your experiment are quite different from the atmospheric ones, I would try to analyze the kinetic energy too.
References:
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Concerning experimental measurements, we have made a series of experiments with a focus on non-stationary stage of the cyclonic vortex formation. Time dependence of the kinetic energy of tangential flow is very similar to the ones from numerical simulations except the initial stage. In experiment, after the heating is on the meridional circulation forms relatively fast in comparison with numerical simulations. This fact and similarity of the vortex structure (to the atmospheric ones) are strong arguments toward universal scenario of vortex formation, when we have initial weak large vortex (in our case - solid body rotation) and secondary meridional circulation. 
  Now we are analyzing the results and I hope in a month or two the paper would be ready. The connection between helicity and vortex formation is still an open question. We started new numerical simulations using Open Foam in similar to the laboratory experiment statement. Using data from numerical calculations we will try to understand is helicty indeed important for the vortex formation or it is one of topological characteristicsof the vortical flow. Of course we should remember that our flows are rather laminar than turbulent, so we can not study specific turbulent effects when helicity may be of great importance.
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I want to use ECHAM-HAM model to study aerosol impact on tropical cyclones. Can anyone please suggest me how to use ECHAM-HAMMOZ at high resolution or is there any other options(models) that work well for this study?
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Sure sir. Thank you so much.
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Could you please suggest a bibliographic reference about it?
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The atmospheric Hadley cells are the most stable part of the circulation system; at the surface they are the trade winds. They extend from ca. 5 to 25 N and S. You can make maps showing the plate tectonic evolution of the Caribbean at www.odsn.de/odsn/services/paleomap/paleomap.html
The paper with the plate tectonic details is Hay & Wold 1996 on my Researchgate site. Cretaceous climate model simulations sometimes produce 'supercanes'. Our first modern ones happened in 2005: see
Bill Hay
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The Safir-Simpson hurricane scale is a classification method to identify the intensity of a tropical cyclone by civil engineer Herbert Saffir and meteorologist Bob (Robert) Simpson, but this method proved to be useless due to its failures to identify the two thirds of the top 156 deadliest hurricanes from 1851 to 1996. I found the overgeneralization problem caused this.
I developed a new classification method to deal with this problem, but many reviewers and editors told me that even though what you said is correct, we still insist on using SSHS, and your paper can't be published at least in the journals of USA due to common people accepting SSHS. I really don't know why this thing could happen in scientific world, any people know the true reason?
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one year ago , I found it , and downlaod from the official weasite. But I don't know why they disaperar recently, if you want , I would forward the data which I download one year ago.
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I'm doing a research on cyclone prediction using wind data and TRMM precipitation data.
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Dear Sajith Galgamuwa
I think it depends on your case study area. You know cyclone  covers a large area. so I think you need 0.5*0.5 products of TRMM, but as I told it's necessary depend on case study's area.
After that you can use, these links:
Best wishes
Nasrin
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In the response of my last question related to Saffir-simpson Hurricane Scale(SSHS), some people claimed that "Stronger TCs usually have stronger winds but do not always have stronger damage to human and vice versa." I think that he doesn't know OGP problems of SSHS. SSHS use the maximum sustaining winds to stand for the intensity of a tropical cyclone, so there is an overgeneralization problem(OGP), due to the area of the maximum sustaining winds  is just very small part of whole area of a tropical cyclone.  For example, a person has a big head, but his body is very short, we can not say the man is very strong man. That is the OGP problem!!
     Is it funny that some people didn't know this and made a wrong conclusion to
comment on a new classification method for tropical cyclones?
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 In science, if we want to investigate any scientific problem, major influence factors should be given more priority to be investigated. However, only one field is an exception: that is global climate warming. Many scientists ignore the major climate influence factors and consider greenhouse effect  due to human reasons to be the main reason , although they knew it is much smaller than the major climate factors.
     Their logic is that the recent unusual trend of land surface temperature is non-periodic, major periodic factors only cause periodic changes.
     Recently, after more than a half year's effort, we prove that the monthly anomaly of global land surface temperature can be fitted perfectly by a group of periodic functions, the verification results indicate that the correlated coefficients of more than 15,000 periodic functions are all more than 0.9.(Last year, I mentioned I found a function which its the correlated coefficient is 0.8)
    I send the paper to one of the toppest IF magazines, the editor said" we know  your reseach result is absolutely right,but many people already believe in this view, thousands of papers have already published , so we have to reject your paper. And we also tell you that  no magazine is willing to publish your paper".
    One anonymous email is send to me with the following word :
         "Birth is much, but breeding is more."
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Is it possible to get images of any particular tropical cyclones eye from any Satellite (as like Landsat) continuously (6 or 4 hrs period) for 3 or 4 days?
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Dear Abdullah,
If you want to track tropical cyclones or the 'eye' of the cyclone with time intervals as close as 4 to 6 hrs for 3 to 4 days, Landsat is definitely NOT the satellite for your needs!. Landsat takes two images of the same spot on Earth with a minimum interval of 8 to 16 days. So there is no chance of getting two satellite images of the same spot over the earth within 8 days with Landsat. However, nowadays Landsat 8 has started collecting Night Time Images of certain locations of the Earth. This brings down the repeat interval to some days but this is still not good enough for tracking cyclones which requires continuous monitoring.
That is why you have weather satellites which Prof. Bachir mentioned earlier which looks at the same spot over the Earth continuously with a time interval of 15 minutes!  Therefore you should look at meteorological satellite systems such as METEOSAT, GOES, NOAA series etc. There is a long list of available satellites for the desired purpose.
The fundamental difference between a satellite such as Landsat and GOES series is that, Landsat is a polar satellite whereas GOES series are geostationary satellites. Geostationary weather satellites look at the same spot over the Earth all the time. That is why they are helpful to track cyclones which keep shifting. Moreover, geostationary satellites cover a large area over the earth, usually regional to continental scales, ideal for tracking large cyclones. Cyclone systems which are generally large systems (~thousand km) cannot be covered by Polar satellites which cover smaller areas per scene (~hundreds of km) over the Earth. It is like taking a picture of an elephant from one feet away! Check the link which I have attached.
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Dear Sirs,
Recently, I have developed two new techniques: one is used to gauge both the intensity of tropical cyclones and the intensity of tropical cyclones; the other is used to identify significant signals of El Nino or La Nina. With these two tools,I have solved some important problems : one is the definition of "El nino years", "La Nina Years", Ocean Stabilization Index.....etc. Furthermore, a new theory called "Ocean Stabilization Machine" theory on global climate change has been proposed. And I gave the presentation in an important Peak BBS of Chinese Academy of Engineering in Hangzhou on October 25, which received very important attentions. Here, I am looking for some collaborators in other fields related to global climate change.
 Thank you very much for your attention!
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You are very right to be involved with global warming, because there is so much happening in the weather. Yet, no theories!
I am concerned about the rise in humidity worldwide, obviously the oceans are evaporating at an increasing rate (have become unstable). Is your ocean index to do with this phenomenon?
English is not my tongue, but I can help "polish" some text,if you would like.
best wishes
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I need to draw the contour of wind speed for cyclones
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in terms of visualization theory, you could color-code your altitudinal ranges, or simplify the maps by dividing each representation by altitude or altitudinal ranges.  You should not represent the various wind vectors or isovents/isovels, at various altitudes on the same map.  It will not be clear to the viewer (percipient) if you combine ALL vectors/contours on the same map, WITH the alititudal ranges as well.  Either define each range or grouping by color, or separate them on different maps (diptychs, triptychs, etc).  Good luck, TRP
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Every year, tropical cyclones cause disasters in coastal regions.
Does anyone have any ideas of ways to harness the vast energy naturally available? Can we reduce the impact of tropical cyclones in the future using modern technology?
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Hi Cole,
call me nitpicking, but the report tells:
In the case of Katrina, Jacobson's model revealed that an array of 78,000 wind turbines off the coast of New Orleans would have significantly weakened the hurricane well before it made landfall.
If operated at rated power of 6MW we talk about 468GW of power.
This is about 80% of the power, the US generates on nuclear plants, accounting for 15% of their overall power demand.
Simulations like these may show what you could achieve but given that the US are reluctant to put up a few hundred wind power plants, the chances they will build tens of thousands in the years to come is negligible.
A further note:
The simulation assumes, the hurricane strikes the plants on the edges only.
Once a storm exceeding 60 or even 70m/s like recently seen in Japan, the wind farm will be gone.
Today, survival speed for windmills is about 55m/s and the power dragging on the mill will increase by a factor 2 if wind speed increases from 55 to 70 m/s.
You really think an investor is going to take this risk?
But in the end, I would love to be proven wrong :-)
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I have been observing that when monsoon moisture moves over certain tropical forests located in SE Asia or India, rain clouds with very long streaks form.  Has anyone studied if this is caused by Pseudomonas bacteria that live on particular species of tropical trees, and if so which tree species produce the most rain clouds?  Attached is a satellite image from August 2014 showing these particular clouds forming over the forests along the SW coast of India.
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Pseudomonas type of bacteria species  is a common ice nuclei (IN) positive bacteria found among many other bacteria in clouds. There are several findnings on Pseudomonas syringae over the globe.  In India, we have collected Pseudomonas aeruginosa from Northern part of India and tested the ice nucleating characteristics of this particular bacteria over Indian subcontinent.
Bio-aerosol like bacteria can be nucleated at higher temperature and lower super saturation value that may helps to initiate cloud glaciations more quickly in terms of precipitation.
see "Study of ice nucleating characteristics of Pseudomonas aeruginosa” A. Hazra, M. Saha, U. K. De, J. Mukherjee and K. Goswami,; Journal of Aerosols Science, vol, 35, pp 1405-1414, 2004."
see "“Parameterizing ice nucleation rates using Contact Angle and Activation Energy Derived from Laboratory Data” by J-P Chen  A. Hazra, Z. Levin, Atmospheric Chemistry and Physics, 8, 7431-7449, 2008."
see "“A classical-theory-based parameterization of heterogeneous ice nucleation by mineral dust, soot and biological particles in a global climate model”, Hoose, C.,J. E. Kristjánsson, J.-P. Chen and A. Hazra (2010): Journal of Atmospheric Sciences, 67, 2483-2503."