Wow, Dead Internet Theory vibes 🤐 Ok, I've moved all the gridded data file copies that I had at my end to: https://server.nikhilvj.co.in/dump/imd_grid/
Disclaimer: they were download from <currently down> source <https://imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html> on 13th July 2022, and their sha256 checksums are at: https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_rain.txt https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_tmax.txt https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_tmin.txt Beyond that digital trail, no guarantee on integrity of the data from my side. Use at own risk. This code snippet should help you turn a file into a flat CSV table: import imdlib rain1 = imdlib.open_data('rain', 2010, 2010, 'yearwise').get_xarray().to_dataframe() rain2 = rain1[rain1['rain'] > -100].reset_index() rain2.to_csv('dump.csv',index=False) -- Cheers, Nikhil VJ https://nikhilvj.co.in On Thu, Oct 6, 2022 at 10:53 AM Akshay Kumar <akshay.cg...@gmail.com> wrote: > IMD_CSV.7z > <https://drive.google.com/file/d/1kYrptA1jYDhrAE5OiNQSQQrcpncQaRo_/view?usp=drive_web> > Clipped_rain_INDIA.7z > <https://drive.google.com/file/d/1JbZmrSJGMK87Ze6X2MPRWkt_SDw2I5TN/view?usp=drive_web> > Hi > Please find the attached shapefiles of the IMD Gridded rainfall dataset > clipped for India for the years 1990 to 2021. Also, I am attaching the csv > files of rainfall datasets, which were further used for creating shapefiles > of corresponding years. Please let me know if it solves your purpose. > You can clip out Himachal from the Indian shapefile. > > > > *Profound RegardsAkshay Kumar* > > *LinkedIn <https://www.linkedin.com/in/akshay-kumar-a68572118/>* > *+91-8198834098* > > P Please don't print this e-mail unless you really need to. Go Green. > *Every 3000 A4 Size papers costs 1 tree.* > > > On Thu, Oct 6, 2022 at 10:39 AM georg...@gmail.com <georgel...@gmail.com> > wrote: > >> Thank you Nikhil, As Vastav said that link is no longer available. Is >> there any chance that you have collected the data? I want data for Himachal >> from 2000 - 2021 >> Thank you >> >> On Thursday, 6 October 2022 at 03:11:55 UTC+5:30 >> f201...@hyderabad.bits-pilani.ac.in wrote: >> >>> Hi Nikhil >>> It seems like the link used to get data no longer works. The government >>> has likely made the data inaccessible. Did you download all the files by >>> any chance? Would it be possible to upload those in google drive? >>> >>> Thanks >>> Vastav Ratra >>> >>> On Wednesday, October 5, 2022 at 3:58:10 AM UTC+2 nikh...@gmail.com >>> wrote: >>> >>>> Hi Georgelio, >>>> >>>> I was able to extract the rainfall data just fine. >>>> Bit of programming is needed to get rid of junk data, and we need to >>>> work our way thru lot of files for multi-yr. Here is a repo with work done >>>> on it. >>>> >>>> https://github.com/answerquest/IMD-grid-data-work >>>> >>>> I made a viz of the data for a location nr my home in Pune, and the >>>> figures appear to corelate with local history (Panshet flood of 1962 for >>>> example shows up vividly). But I'd really like to know what the original >>>> raw data was using which the gridded data was obtained. >>>> >>>> I've loaded it all into a DB; should be able to get out specific data >>>> needed, let me know if you need for a particular location(s) and years >>>> range. >>>> >>>> Is there a use case for uploading a mirror dataset to zenodo or kaggle >>>> or someplace in simpler CSV form? (Big upload so better if there is a >>>> demand for it. Or, better if someone from the institution itself does it). >>>> I love the multi-dimensional array format they've used, but the junk values >>>> undo the storage savings (a .7z of flattened CSV may be smaller), and it's >>>> tougher to access for folks not in the know. >>>> >>>> - Nikhil >>>> https://nikhilvj.co.in >>>> >>>> On Tue, Oct 4, 2022, 15:37 georg...@gmail.com <georg...@gmail.com> >>>> wrote: >>>> >>>>> Hello all, >>>>> Gridded rainfall data for India in IMD is not working. I need >>>>> rainfall data for Himachal from 2010 to 2022. >>>>> Thanks >>>>> >>>>> -- >>>>> Datameet is a community of Data Science enthusiasts in India. Know >>>>> more about us by visiting http://datameet.org >>>>> --- >>>>> You received this message because you are subscribed to the Google >>>>> Groups "datameet" group. >>>>> To unsubscribe from this group and stop receiving emails from it, send >>>>> an email to datameet+u...@googlegroups.com. >>>>> To view this discussion on the web visit >>>>> https://groups.google.com/d/msgid/datameet/b6a669b9-6b30-41d6-bc22-cb960814bc6en%40googlegroups.com >>>>> <https://groups.google.com/d/msgid/datameet/b6a669b9-6b30-41d6-bc22-cb960814bc6en%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>> . >>>>> >>>> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to the Google Groups >> "datameet" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to datameet+unsubscr...@googlegroups.com. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/datameet/628cda0d-26e3-4cf0-8e4e-fa7547a5d3efn%40googlegroups.com >> <https://groups.google.com/d/msgid/datameet/628cda0d-26e3-4cf0-8e4e-fa7547a5d3efn%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> > -- > Datameet is a community of Data Science enthusiasts in India. 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