Hi Georgelio, Vastav,

While this link is down:
https://imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html

Upon browsing around the IMD site I found under Climate Monitoring in top
menu, https://imdpune.gov.in/lrfindex.php
Side menu: Gridded Data Archive -> All the data is there and available just
fine.


So, taking offline my data dump to save my server's bandwidth.


--
Cheers,
Nikhil VJ
https://nikhilvj.co.in


On Thu, Oct 6, 2022 at 6:38 PM Nikhil VJ <nikhil...@gmail.com> wrote:

> 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
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>>>>>> .
>>>>>>
>>>>> --
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>> .
>>
>

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