Water Management And Protection Prize

Dr. Soroosh Sorooshian of the University of California, Irvine (USA).

The Water Resources Management and Protection Prize, which had the topic of “Remote Sensing and GIS Applications for Water Resources Management”, is being awarded to Dr. Sorooshian for his development and refinement of the PERSIANN model to estimate precipitation from satellite remotely sensed data.

PERSIANN is a method that uses artificial neural networks – a form of artificial intelligence – and infrared (GOES IR) and TRMM satellite data to estimate global precipitation.

Dr. Sorooshian not only led the development of a very important precipitation estimation model – PERSIANN – but with his team he has continued to improve its predictive ability between 2000 and 2009 by applying different methods drawn from AI (e.g., self organizing algorithms), using new sources to compare and calibrate its estimates (e.g., TRMM and the TOGA experiment), and in simulating data anticipated sensors (e.g., ABL). He shows not only insight and innovation but also dedication to a mission that is of vital importance to hydrologists and water managers the world over.

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