Development of a Grid-based Precipitation Dataset (PERSIANN) for West Asia to feed Climate Change and Drought Management Studies

A website for displaying and downloading the satellite-based precipitation is to be unveiled during the 2nd IDI expert group meeting in Mashahd, Iran 10th of December, 2018.

Satellite-based remote sensing is currently essential in producing estimates of global precipitation. The Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California, Irvine (UCI) provides one of the most popular applicable satellite-based precipitation estimation globally (Precipitation Estimation from Remotely Sensed Information using Artifical Neural Networks, PERSIANN). The data are applicable to improve hydrologic prediction, as well as, to develop decision support tools for generating and evaluating the climatologic information required by the water resources management community. PERSIANN includes three different datasets (PERSIANN, PERSIANN-CCS and PERSIANN-CDR) for different applications.

Since, the datasets have high spatial and temporal resolution with a global coverage, huge data are stored in special file formats by the producers of the PERSIANN. However, uploading and extracting data, especially for a certain domain like Iran, is complicated for users who are not familiar with these kind of files/formats. The transfer of critical basic knowledge about rainfall from scientists who are specialized in the field to the general public is severely inadequate.

Therefore, IDI Secretariat (RCUWM-Tehran) and Asian G-WADI with the support of UCI-CHRS decided to produce a user-friendly rainfall database from PERSIANN for Iran (between 25°N-40°N latitude and 44°E-64°E longitude) that allows Iranian users to access historical and real time precipitation data over country quickly and easily. The archive includes the historical data for Iran in CSV file format which could be opened in any popular software such as EXCEL. Also the rainfall estimates are currently accessible visually for different time steps, anywhere (in Iran).

Objectives:

  • An online and easy to use version of PERSIANN precipitation data produced for the West Asia
  • Research dataset transformed into user-friendly public knowledge
  • Verification of the grid-based precipitation data using available ground observations

Further information is accessible via (Website Portal).

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    2018-12-04T17:42:47+00:00

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