Dear Nikhil still has the same issue for Assam.  I tried to download
at  26.5,93.0
for 2001 temperature  data again getting a similar message of no data.
PLease check the issue

With regards

On Fri, Oct 14, 2022 at 11:55 PM Nikhil VJ <nikhil...@gmail.com> wrote:

> Hi Pankaj,
>
> Added in the webpage now:
>
> And even after that, for some locations there just isn't data for certain
> years or dates in the original dataset. Those slots were filled with junk
> values in the .grd files like -999 - they've been sanitised out from here.
>
>
> You just need to keep looking for a location that gives you data and let
> go of the ones that don't, that is all. Not much anybody can do if IMD
> itself didn't archive it.
>
> Please also see the other instructions in the page.
> 0.5 grid : select accordingly on the map.
>
> For Assam : you'll have to select the grid points coming within assam, and
> try for them.
>
> For bulk work, Generate 1 link, then copy the same structures to create
> more links with the year value in the URL changed.
>
> --
> Cheers,
> Nikhil VJ
> https://nikhilvj.co.in
>
>
> On Fri, Oct 14, 2022 at 9:12 PM Pankaj pandey <pkpner...@gmail.com> wrote:
>
>> Dear Nikhil I am trying to download  temperature data  for 2000 of Assam
>> and getting this massage: {"success":false,"message":"No data for give
>> location / year"}. What is problem Please how to download temperature data
>> at 0.5 degree for all grid point of assam
>>
>> On Fri, Oct 14, 2022 at 5:41 PM Nikhil VJ <nikhil...@gmail.com> wrote:
>>
>>> Hi All,
>>>
>>> Got a request regd need to simplify this IMD grid data fetching process
>>> for folks, and that gave me impetus to complete setting up a website where
>>> individual location + year data can be downloaded as simple flat CSV (which
>>> opens in Excel / LibreOffice Calc).
>>>
>>> So here it is: *https://server.nikhilvj.co.in/imd_data/
>>> <https://server.nikhilvj.co.in/imd_data/>*
>>>
>>> There's a map and year selector to help choose, after that a link is
>>> generated for downloading. Open that in browser or do wget/curl
>>> on commandline, and it'll download a CSV with proper naming.
>>>
>>> Sample link:
>>>
>>> https://server.nikhilvj.co.in/imd_data/API/fetchData?year=2010&lat=25.25&lon=76.25&which=all
>>>
>>> You are *encouraged to scrape* : use the format above to compose your
>>> own link. (Hint: Excel formulas like: =A2&B2&"?year="&C2 are perfect for
>>> this)
>>>
>>> With a caveat: Given that it's not some fancy server that can take huge
>>> loads, there's a cruel and harsh rate limiter in place which will allow
>>> only 1 hit per 10 secs per IP address for anonymous users.
>>>
>>> If you want to bypass that, there's an email-otp login process given
>>> which will add a token and let you do 5 hits per second, and that won't be
>>> restricted by IP address.
>>> This would be useful in institutions where multiple users on the same
>>> network may want to fetch data at the same time.
>>> ex: a school/college hands-on session in climate data visualization
>>> where the host as usual forgets to pre-download the data
>>> So you can scrape and I can keep my server from crashing - both sides
>>> win.
>>>
>>> Source code is at https://github.com/answerquest/IMD-grid-data-work
>>> (see imd_data_api folder)
>>>
>>>
>>> --
>>> Cheers,
>>> Nikhil VJ
>>> https://nikhilvj.co.in
>>>
>>>
>>> On Wed, Oct 12, 2022 at 8:30 AM Nikhil VJ <nikhil...@gmail.com> wrote:
>>>
>>>> Hi Pankaj,
>>>>
>>>> The place initially referred to is archival data - by definition it's
>>>> historic and not realtime.
>>>> What I do see on https://imdpune.gov.in/lrfindex.php is "Gridded Data
>>>> Real Time" -> you might want to explore that.
>>>> Over there, Daily 0.5x0.5 grid temp data links are there.
>>>> You can select a single date there and download the file.
>>>>
>>>> I don't know right now how to open it, though. imdlib library that I've
>>>> used - I didn't see anything about daily data.
>>>> Here's its documentation:
>>>> https://imdlib.readthedocs.io/en/latest/Usage.html
>>>>
>>>> I've posted a query about it in the lib's github :
>>>> https://github.com/iamsaswata/imdlib/issues/17 , let's see if the
>>>> author responds. Perhaps some inspection of the source code also might
>>>> yield a way to open the daily data.
>>>>
>>>> PS: Next time do initiate a separate conversation with a different
>>>> subject line - as here you have asked about temperature data but the
>>>> subject reads rainfall data. Becomes less discoverable over the open
>>>> internet or after a long period of time.
>>>>
>>>> --
>>>> Cheers,
>>>> Nikhil VJ
>>>> https://nikhilvj.co.in
>>>>
>>>>
>>>> On Thu, Oct 6, 2022 at 11:56 PM Pankaj pandey <pkpner...@gmail.com>
>>>> wrote:
>>>>
>>>>> Thanks Akshay for sharing the code. Actually I want to download tmax
>>>>> and tmin data at 0.5 degree not at 1 degree for 2000 to 2021. As I want to
>>>>> dowanload  gridded data  real time Download Daily Maximum Temperature
>>>>> data ( 0.5 x 0.5 degree) Binary File (Real-time). In this page only
>>>>> the select data option is available. Should i  replace year with data  in
>>>>> code.
>>>>> It is requested please modify code for this case
>>>>>
>>>>> with regards
>>>>> p.k.pANDEY
>>>>>
>>>>>
>>>>>
>>>>> On Thu, Oct 6, 2022 at 11:30 PM Akshay Kumar <akshay.cg...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Dear Sir
>>>>>> Pl check this link.
>>>>>>
>>>>>> https://github.com/Manisht9/imdData
>>>>>>
>>>>>>
>>>>>> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey <pkpner...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Dear  Nikhil  how can batch download data,
>>>>>>> https://imdpune.gov.in/lrfindex.php. This page give data wise data.
>>>>>>> how can download  suppose 20 year data of temperature. Any python code 
>>>>>>> to
>>>>>>> do this to bulk download  in csv. Please update any code will very much
>>>>>>> neede
>>>>>>>
>>>>>>> With Regards
>>>>>>> P.K.Pandey
>>>>>>>
>>>>>>>
>>>>>>> On Thu, Oct 6, 2022 at 7:28 PM Nikhil VJ <nikhil...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> 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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>>>>>>>>>>> .
>>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> Datameet is a community of Data Science enthusiasts in India.
>>>>>>>>>> Know more about us by visiting http://datameet.org
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>>>>>>>>>> <https://groups.google.com/d/msgid/datameet/CAH9bdtHQuk_uOM%2B0%3Da%2B8pDTPgP4HeNdbU2PaNB%2B2bT8CzAPiiw%40mail.gmail.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
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>>>>>>>> To view this discussion on the web visit
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>>>>>>>> <https://groups.google.com/d/msgid/datameet/CAH7jeuMv5Kx5zE7YMpNXVbxezrOkc7MqFCoKnB-hJxFy-e5eqA%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>>>> .
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> WITH REGARDS
>>>>>>> DR. PANKAJ KUMAR PANDEY
>>>>>>>
>>>>>>> --
>>>>>>> Datameet is a community of Data Science enthusiasts in India. Know
>>>>>>> more about us by visiting http://datameet.org
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>>>>>>> <https://groups.google.com/d/msgid/datameet/CAPppCu5Eis3_%2BXudyGCu%3Dx5VrPSePV%2B01pWoyweuT5vaH3cfLg%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>>> .
>>>>>>>
>>>>>> --
>>>>>>
>>>>>> *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.*
>>>>>>
>>>>>> --
>>>>>> Datameet is a community of Data Science enthusiasts in India. Know
>>>>>> more about us by visiting http://datameet.org
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>>>>>> Groups "datameet" group.
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>>>>>> To view this discussion on the web visit
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>>>>>> <https://groups.google.com/d/msgid/datameet/CAH9bdtF4P0DLhSrkQ30aL--4SwQhHq3h_OFypZ2ws-fy9cB2VA%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>> .
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> WITH REGARDS
>>>>> DR. PANKAJ KUMAR PANDEY
>>>>>
>>>>> --
>>>>> Datameet is a community of Data Science enthusiasts in India. Know
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>>>>> <https://groups.google.com/d/msgid/datameet/CAPppCu7DjAgQZQ%2BRpG_HmB%3DXTfdCsFmo%2Bk7fe-soBXZ_t_BTEg%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>> .
>>>>>
>>>> --
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>>> .
>>>
>>
>>
>> --
>> WITH REGARDS
>> DR. PANKAJ KUMAR PANDEY
>>
>> --
>> Datameet is a community of Data Science enthusiasts in India. Know more
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WITH REGARDS
DR. PANKAJ KUMAR PANDEY

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