You go through this link....

Daily Weather Data

http://www.indiaremotesensing.com/p/download-daily-weather-data.html

The link you have provided is showing this url is not found in this server.

So kindly go through the link and suggest me any other ways.

Thank you

We have developed a satellite based rainfall dataset for the whole India, and globally available here https://doi.org/10.5281/zenodo.846259

Luca Brocca Thank you for ur kind reply.

May i know on which platform i will be able to open such files.

Python, Matlab, R...netcdf is the standard formatting for geospatial data

Hi

The Water Cycle Integrator of the eartH2Observe project have several gauge interpolation, gauge adjusted satellite and reanalysis precipitation data at

http://www.earth2observe.eu/

However, validation of precipitataion is important before application, not only by just comparing the data with observed time series (with raingauge data or hydrological modelling) but also comparing certain features of the time series is important.

We publish this short article in a early career journal evaluating two P global products recently produce making the assessment with some precipitation indexes.

Article Analysis of precipitation features estimated by reanalysis d...

Regards

You can find 0.25 degree long period daily gridded rainfall data set over India from IMD Pune. Email: [email protected], [email protected], [email protected]

They have high spatial resolution IMD4 dataset over 110 year (1901-2010) across 6995 rain gauge station in India. Though there are new RTDS (Real-Time) gauges coming every year in places like UP, Bihar and northern area but these datasets can certainly suffice your work.

For free you can try 3B42RT (product name) from TRMM for 3-hourly data. https://pmm.nasa.gov/data-access/downloads/trmm

Check CHIRPS (https://iridl.ldeo.columbia.edu/SOURCES/.UCSB/.CHIRPS/) available at 0.5 degree resolution. or at ftp://ftp.chg.ucsb.edu/pub/org/chg/products/

Hi

If you use Precipitation from remote sensing products, you can improve their performance using local raingauges. The merging algorithm described in this work have proved to be successful in reducing the remote sensed field error. In the paper the parameters of the merging are analyzed against the raingauges density so that one defines their value with the features of the local raingauge network and, therefore, one will not need to perform a calibration procedure.

Conference Paper Analysis of the kernel bandwidth influence in the double smo...

The Water Cycle Integrator of the eartH2Observe project have several global precipitation dataset at

http://www.earth2observe.eu/

Regards

Check SERVIR ClimateSERV (https://climateserv.servirglobal.net/). daily precipitation of countries and states is available. It also allows to enter polygons in GeoJSON format

Regards.

Check Climate Research Unit (https://crudata.uea.ac.uk/cru/data/), monthly precipitation available.

Best regard, Guillermo

Hi. Or extent the time frame of data that you have. Want to improve the performance of your hydrological model on a scarce data basin?!! We introduce you to our new article where a satellite-reanalysis-gauge merging algorithm is detailed. Article Improving Rainfall Fields in Data-Scarce Basins: Influence o...

Erasmo Alfredo Rodriguez