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Very nice

Very helpful! thanks 🙂

I enjoy watching your tutorials, very clear and very informative. You are very generous for sharing your coding skills. Thanks!!

which format of data is to be downloaded for the accuracy assessment??

Hi, thank you for your great tutoring. However, I regret to say there seems a miscalculation in this video. Each period of a specific year, like Jan - Mar, when calculating SPI-3 must be compared with the same periods of other years. For example, Jan - Mar in 1959 must be compared with the Jan - Mar period in other years like 1960 - 1989. However, the method in this tutorial compares every three months' precipitation regardless of specific months. It means the typical wet period of the year always shows positive SPI even though it doesn't rain as usual. In the graph of SPI-3 and SPI-6 in Video, every year has positive data. It means it doesn't show historical drought in specific years. On the other hand, the reason SPI-12 and SPI-24 values show different anomalies for each year is their data range is a year and two years, including every 12 months of a year. So, they can show historical drought status regardless of the difference in calculation method whether separating calculation for basic month or not. I am sorry to raise this issue and bother you, but I hope you understand what I mean and revise this video.

Excellent explanation. How can I extend this code to visualize drought metrics - drought_severity, drought_frequency, drought_duration, and drought_intensity?

where can I download the dataset 'rainfall.nc'?

Hi sir, when I am using R code for finding SPI values , i am getting different answer..why??

how to calculate SPI when we have some zero precipitation in our data?

This tutorial doesn't follow the same steps as the reference Excel sheet.

Why not share the dataset, it makes it impossible to follow along without it.

wow! thank you! how is the unit conversion done please?

I tried so many times, in various ways. Always says that the file doenst exist

Anywone please help me the matlab code of Hovmoller Diagram?

Hey I have an idea, can I use da.where(da>thresh).count('time') to calculate the num of cwd

which data were you using in this video

thank you so much, is there any different between CDD and DSL (dry season length)? if yes how can i calculate the DSL?

Hello sir thank for the presentation, when I run this code da_RAI.sel(year=2009).plot(vmax=3, cmap='RdBu') i get this error TypeError: get_loc() got an unexpected keyword argument 'method' i need some help

thanks for a very useful video. how i can modify the code if i have more than one location like i have 80 countries for time period 1901 to 1990.

Great work! I am currently having issues with the last line of code (nha.groupby('time.month').mean(dim=('time', 'lon')).T.plot()...... when o run this code it appears that 'QuadMesh' object has no attribute 'contourf' . how do i solve the issue please? thank you.

Great work! but i cant have access to the data. the link posted here is not working. can please help. thank you

Hello Doc 👋. Carlos here. How can I direct message please

Thank you tutoria for the great video. What about calculating SRI by using NetCDF?Can you produce a video.Thanks!!

This has been a very helpful video. I appreciate your kindness. Can you show how to put normal distribution in gridded data. Maybe in this same example instead of gamma can you put a normal distribution? Thank you for all the help

How can I run this for multiple variables in one dataset?

why 9th index is considered x[9]

how to fix convert mathtype pdf to word ? please sir

Thank you very much, I am a follower and I am teaching myself Python through your informative videos. I have followed your program and I was able to create the plot that I need i.e. monthly variation (x-axis) of OLR (daily resolution at 2.5° spatial resolution) over latitudes (y-axis) over southern Africa (0° to -40°). My current issue is I want to change the sequence of months from [1,2,3,4,5,6,7,8,9,10,11,12] to [7,8,9,10,11,12,1,2,3,4,5,6] in order to make the low OLR that is prevalent during Austral summer months stand-out in the middle. I have tried assigning the months in the desired sequence but the only change on the x-axis and the data remains the same...could you please help?

Thats nice

Thanks for your help! Very well explained

Great work indeed!! I would like to build my code for a reference time (e.g 1991-2020) at ds_RR_WestAfrica and check my SPI-3 for May 2023. How can I do that? I mean, how can we check the SPI for a particular time which is not included into the reference time??

Nice elaborate SPI. Thanks

please can i get the code for this mannkandall, thank you

Thank you very much for the valuable tutorials. I want to apply this code to calculate SPEI. However, I think this formula is not working with SPEI. SPEI has negative values, which is the main problem. That function which calculate SPI has natural log in it, when negative number comes it can't manage as negative doesn't have log. Is there a way to get rid of this?

Could you please improve the video quality.

Clear and simple💯

thank you so much < very useful

professor, If you can please upload a code in matlab. I am friendly with matlab thank you

👌

😎

Hi, I've been watching this channel and were very helpful for me. Could you also provide video about doing quality control for point observation data? especially where there are a lot of point observations (hundreds of points)?

The other issue I could not fix after trying all I know is.. After running the code;- da_RR.sel(time='1991-01').plot() In your work, you got a full map of Africa with the plotted spatial data, neatly colored. But in my case, I got an histogram with tightly closed bars instead of the plotted map like you got. I sliced the data time frame using a range of time from 1970-2019 unlike the 1991-01 you used. I watched one ofthe past tutorials on spatial analysis which I downloaded from your channel to do the slicing. But my issue right now is that I get a histogram plot instead of a map after running the first plot code you did in this tutorial. What should I do to get desired result like you did please?

Thank you for this. I tried it out on my own. Initially I was able to do it. And then, I upgraded my matplotlib and tried upgrading my cartopy. After attempting these uprgrades to these two packages, I now get the; AttributeError: 'GeoAxes' object has no attribute '_autoscaleXon' when ever I run this code fig.add_subplot(1,1,1). Please what should I do now?

Thanks.

Gridlines doesn't work for me Sir. I wanted to do a plot for the West Africa Region. And the plot doesn't look good without the country line demacation( gridlines). It brings out a blank plot each time I initiated the code you privided

You are great Sir. Really helpful. Thank you. But, the gridlines doesn't work with my plot. Whenever I initiate the gridlines code you provided, it doesn't display any plot

thank you i suggest that you make tutorials on distribution laws (gumbel law, return period, but also on extraction of climate signals such as MJO, EST waves, TEJ....) with xarray i rarely see people making tutorials on that

Good day Sir can a timeseries be done for two datas on the same plot?

Congratulations teacher,🎉🎉🎉 I have two questions: 1- How to extract the my polygon of my country for Exemplo Angola 🇦🇴 ? 2 - How to extract accumulated the 3 months for exemplary, JFM, FMA (January, February and March)

Probably the best tutorial on SPI. Nice work!