Re: [datameet] Rainfall data

2022-10-23 Thread Anil Dandekar 
dear all, i am unable to understand the files link given in github, how to
run it and any proper material (document/videos) to read it and proceed
further.
*Dr. Anilkumar T Dandekar*
*Associate Professor of Agricultural Engineering*
*in Soil and Water Conservation Engineering*
*Dept of Agricultural Engineering,*
*College of Agriculture,*
*VC Farm, Mandya-571405*
*Email ID: dandekara...@uasbangalore.edu.in
*


On Sat, Oct 15, 2022 at 12:11 PM Akshay Kumar 
wrote:

> Dear Sir,
> The code link that I sent has to be changed for tmax and tmin parameters.
> Once it is done, you can have the csv files, which can be clipped further
> with the desired area.
>
> https://github.com/Manisht9/imdData
>
>
>
>
>
> *Profound RegardsAkshay Kumar*
>
> *LinkedIn *
> *+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 Sat, Oct 15, 2022 at 12:05 PM Pankaj pandey 
> wrote:
>
>> 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  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 
>>> 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  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/
> *
>
> 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=25.25=76.25=all
>
> You are *encouraged to scrape* : use the format above to compose your
> own link. (Hint: Excel formulas like: =A2&"?year=" 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  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

Re: [datameet] Rainfall data

2022-10-17 Thread VASTAV RATRA 
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  wrote:
>
>> Hello all,
>>  Gridded rainfall data for India in IMD is not working. I need rainfall 
>> data for Himachal from 2010 to 2022. 
>> Thanks
>>
>> -- 
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>>  
>> 
>> .
>>
>
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Re: [datameet] Rainfall data

2022-10-15 Thread Akshay Kumar 
Dear Sir,
The code link that I sent has to be changed for tmax and tmin parameters.
Once it is done, you can have the csv files, which can be clipped further
with the desired area.

https://github.com/Manisht9/imdData





*Profound RegardsAkshay Kumar*

*LinkedIn *
*+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 Sat, Oct 15, 2022 at 12:05 PM Pankaj pandey  wrote:

> 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  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 
>> 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  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/
 *

 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=25.25=76.25=all

 You are *encouraged to scrape* : use the format above to compose your
 own link. (Hint: Excel formulas like: =A2&"?year=" 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  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

Re: [datameet] Rainfall data

2022-10-15 Thread Pankaj pandey 
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  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  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  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/
>>> *
>>>
>>> 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=25.25=76.25=all
>>>
>>> You are *encouraged to scrape* : use the format above to compose your
>>> own link. (Hint: Excel formulas like: =A2&"?year=" 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  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 
 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
>

Re: [datameet] Rainfall data

2022-10-14 Thread Nikhil VJ 
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  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  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/
>> *
>>
>> 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=25.25=76.25=all
>>
>> You are *encouraged to scrape* : use the format above to compose your
>> own link. (Hint: Excel formulas like: =A2&"?year=" 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  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 
>>> 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 
 wrote:

> Dear Sir
> Pl check this link.
>
> https://github.com/Manisht9/imdData
>
>
> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey 
> wrote:
>
>> Dear  Nikhil  how can batch

Re: [datameet] Rainfall data

2022-10-14 Thread Pankaj pandey 
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  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/
> *
>
> 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=25.25=76.25=all
>
> You are *encouraged to scrape* : use the format above to compose your own
> link. (Hint: Excel formulas like: =A2&"?year=" 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  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 
>> 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 
>>> wrote:
>>>
 Dear Sir
 Pl check this link.

 https://github.com/Manisht9/imdData


 On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey 
 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  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

Re: [datameet] Rainfall data

2022-10-14 Thread Nikhil VJ 
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/
*

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=25.25=76.25=all

You are *encouraged to scrape* : use the format above to compose your own
link. (Hint: Excel formulas like: =A2&"?year=" 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  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  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 
>> wrote:
>>
>>> Dear Sir
>>> Pl check this link.
>>>
>>> https://github.com/Manisht9/imdData
>>>
>>>
>>> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey 
>>> 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  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  wrote:
>
>> Wow, Dead Internet Theory vibes 蘿
>>
>> 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  source
>> 
>> on 13th July 2022, and their sha256 checksums are at:
>>
>>

Re: [datameet] Rainfall data

2022-10-11 Thread Nikhil VJ 
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  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 
> wrote:
>
>> Dear Sir
>> Pl check this link.
>>
>> https://github.com/Manisht9/imdData
>>
>>
>> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey 
>> 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  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  wrote:

> Wow, Dead Internet Theory vibes 蘿
>
> 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  source
> 
> 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 
> wrote:
>
>>  IMD_CSV.7z
>> 
>>  Clipped_rain_INDIA.7z
>> 
>> 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 *
>> *+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 <
>>

Re: [datameet] Rainfall data

2022-10-06 Thread Pankaj pandey 
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  wrote:

> Dear Sir
> Pl check this link.
>
> https://github.com/Manisht9/imdData
>
>
> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey  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  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  wrote:
>>>
 Wow, Dead Internet Theory vibes 蘿

 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  source
 
 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 
 wrote:

>  IMD_CSV.7z
> 
>  Clipped_rain_INDIA.7z
> 
> 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 *
> *+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

Re: [datameet] Rainfall data

2022-10-06 Thread Akshay Kumar 
Dear Sir
Pl check this link.

https://github.com/Manisht9/imdData


On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey  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  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  wrote:
>>
>>> Wow, Dead Internet Theory vibes 蘿
>>>
>>> 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  source
>>>  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 
>>> wrote:
>>>
  IMD_CSV.7z
 
  Clipped_rain_INDIA.7z
 
 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 *
 *+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).

Re: [datameet] Rainfall data

2022-10-06 Thread Pankaj pandey 
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  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  wrote:
>
>> Wow, Dead Internet Theory vibes 蘿
>>
>> 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  source
>>  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 
>> wrote:
>>
>>>  IMD_CSV.7z
>>> 
>>>  Clipped_rain_INDIA.7z
>>> 
>>> 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 *
>>> *+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 
>>> 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

Re: [datameet] Rainfall data

2022-10-06 Thread Nikhil VJ 
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  wrote:

> Wow, Dead Internet Theory vibes 蘿
>
> 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  source
>  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 
> wrote:
>
>>  IMD_CSV.7z
>> 
>>  Clipped_rain_INDIA.7z
>> 
>> 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 *
>> *+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 
>> 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 
> 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

Re: [datameet] Rainfall data

2022-10-06 Thread Nikhil VJ 
Wow, Dead Internet Theory vibes 蘿

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  source
 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  wrote:

>  IMD_CSV.7z
> 
>  Clipped_rain_INDIA.7z
> 
> 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 *
> *+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 
> 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 
 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
> 
> .
>
 --
>> 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

Re: [datameet] Rainfall data

2022-10-05 Thread Akshay Kumar 
 IMD_CSV.7z

 Clipped_rain_INDIA.7z

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 *
*+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 
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 
>>> 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
 
 .

>>> --
> 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
> 
> .
>

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us by visiting http://datameet.org
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Re: [datameet] Rainfall data

2022-10-05 Thread georg...@gmail.com 
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  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
>>>  
>>> 
>>> .
>>>
>>

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us by visiting http://datameet.org
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Re: [datameet] Rainfall data

2022-10-04 Thread Nikhil VJ 
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  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+unsubscr...@googlegroups.com.
> To view this discussion on the web visit
> https://groups.google.com/d/msgid/datameet/b6a669b9-6b30-41d6-bc22-cb960814bc6en%40googlegroups.com
> 
> .
>

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us by visiting http://datameet.org
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Re: [datameet] Rainfall data of Ranchi District from 2002 to 2015

2019-07-09 Thread Anurag Chaudhary 
Hi Alok

You can check the CRIS website

Link with stations
http://hydro.imd.gov.in/hydrometweb/(S(iz43vc454tup1tby413okxvf))/landing.aspx

On Tue, 9 Jul 2019 at 01:29, Alok Mishra  wrote:

> Hi,
> I need rainfall data of Ranchi district for Run-off Analysis. Please
> provide if anyone has.
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
> about us by visiting http://datameet.org
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> 
> .
> For more options, visit https://groups.google.com/d/optout.
>

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Re: [datameet] Rainfall data of Ranchi District from 2002 to 2015

2019-07-09 Thread Sarath Guttikunda 
http://hydro.imd.gov.in/hydrometweb/(S(s1u51i55eh2hnkvn2exr533b))/DistrictRaifall.aspx

--
*Dr. Sarath Guttikunda*

*http://www.urbanemissions.info *

*http://www.indiaairquality.info *


On Tue, Jul 9, 2019 at 1:29 AM Alok Mishra  wrote:

> Hi,
> I need rainfall data of Ranchi district for Run-off Analysis. Please
> provide if anyone has.
>
> --
> 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.
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> 
> .
> For more options, visit https://groups.google.com/d/optout.
>

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Re: [datameet] Rainfall data of Ranchi District from 2002 to 2015

2019-07-09 Thread Sarath Guttikunda 
-- Forwarded message -
From: Naraina Damle 
Date: Mon, Jul 1, 2019 at 11:01 PM
Subject: [datameet] Found NASA rainfall data TRMM
To: datameet 


Hello,

Just came across  this website which has world rainfall data since about
1998.

http://www.geog.ucsb.edu/~bodo/TRMM/

There are more and more detailed datasets available google "TRMM Data."


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On Tue, Jul 9, 2019 at 1:29 AM Alok Mishra  wrote:

> Hi,
> I need rainfall data of Ranchi district for Run-off Analysis. Please
> provide if anyone has.
>
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