THE GLOBAL PRECIPITATION MEASUREMENT (GPM) MISSION FOR SCIENCE AND SOCIETY.

By G. Skofronick-Jackson, Walter A. Petersen, W. Berg, C. Kidd, E. Stocker, D. Kirschbaum, R. Kakar, Scott A. Braun, George J. Huffman, T. Iguchi and 8 more. Bulletin of The American Meteorological Society - (BAMS), 2017

680 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/fabae633218052ebc483ac877828cc60cd996258

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yingzhao Ma
2. Yang Hong
3. Yang Chen
4. Yuan Yang
5. G. Tang
6. D. Long
7. Changming Li
8. Zhongying Han

Citations in the corpus

• Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau (2017, background): “…2014 version of the Goddard Profiling Algorithm (GPROF2014) has provided unprecedented and highly useful global precipitation products, the IMERG data have insufficient duration (i.e., since mid-March 2014) and are known to have high bias during heavy rain events (Skofronick-Jackson et al., 2016).”