Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China

Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China

In this paper, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) is analyzed for the assessment of meteorological drought. The evaluation is conducted over China at 0.5° spatial resolution against a ground-based gridded Chin...

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Bibliographic Details
Main Authors: Hao Guo, Anming Bao, Tie Liu, Sheng Chen, Felix Ndayisaba
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Remote Sensing
Subjects:
drought monitoring
meteorological drought
PERSIANN-CDR precipitation
SPI
Online Access:http://www.mdpi.com/2072-4292/8/5/379

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