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 >>>>>>>>> --- >>>>>>>>> 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. 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/CAH9bdtHQuk_uOM%2B0%3Da%2B8pDTPgP4HeNdbU2PaNB%2B2bT8CzAPiiw%40mail.gmail.com >>>>> <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 >>> --- >>> 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/CAH7jeuMv5Kx5zE7YMpNXVbxezrOkc7MqFCoKnB-hJxFy-e5eqA%40mail.gmail.com >>> <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 >> --- >> 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/CAPppCu5Eis3_%2BXudyGCu%3Dx5VrPSePV%2B01pWoyweuT5vaH3cfLg%40mail.gmail.com >> <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. 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