Long‐term hydrological assessment of remote sensing precipitation from multiple sources over the lower Yangtze River basin, China

What is it about?

The aim of the present study was to assess the variances and uncertainty of long-term precipitation and corresponding hydrological simulations from 1984 to 2016 using rain gauge measurements, two satellite rainfall products retrieved from the Climate Prediction Center (CPC) and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks – Climate Data Record (PERSIANN-CDR) respectively, along with rainfall reanalysis data from the ERA-Interim over the lower Yangtze River basin, China.

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Why is it important?

Certainly, the findings of this study proved that using long-term remote sensing rainfall data at an appropriate temporal scale to assess the impact from climate change is promising and reliable. It would also be helpful to consider adopting satellite rainfall data as the alternative and supplement to rain gauge measurements.