Development of a Grid-Based Precipitation Dataset for West Asia to Feed Climate Change Studies
Date: July 2016- On-going
Objectives/Outcomes:
Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) is one of the popular satellite-based precipitation estimations which has three products in different spatio-temporal resolutions. In majority of cases, these data are used in policy making and therefore the users normally don’t have necessary technical capacity to work with these special file formats. Thus, a user-friendly precipitation database will be a great asset in monitoring long-term climate patterns, particularly in studying the climate change patterns in arid and semi-arid areas of West Asia (including: Afghanistan, Pakistan, Azerbaijan, Iran, Iraq, Tajikistan and Turkmenistan) which lack this vital […]