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Content which is affiliated solely with the Global Precipitation Measurement Mission.

Intercomparison between Ground-Based and Spaceborne Radars’ Echo-Top Heights: Application to the Multi-Radar Multi-Sensor and the Global Precipitation Measurement

Submitted by LisaN on
Publication Year
Authors
Mandement, M., P. E. Kirstetter, H. Reeves
Journal
J. Appl. Meteor. Climatol.
Volume
62(8)
Page Numbers
917–928
DOI
10.1175/JAMC-D-22-0146.1
Mission Affiliation
GPM
Major Category
GPM

Hydrologic evaluation of the global precipitation measurement mission over the U.S.: Flood peak discharge and duration

Submitted by LisaN on
Publication Year
Authors
Woods, D., P.E. Kirstetter, H. Vergara, J. Duarte, J. Basara
Journal
J. Hydrology
Volume
617(Part C)
DOI
10.1016/j.jhydrol.2023.129124
Mission Affiliation
GPM
Major Category
GPM

Towards improved precipitation estimation with the GOES-16 advanced baseline imager: Algorithm and evaluation

Submitted by LisaN on
Publication Year
Authors
Upadhyaya, S., P.E. Kirstetter, R. Kuligowski, M. Searls
Journal
Quart. Journal of the Royal Meteoro. Soc.
Volume
148(748)
Page Numbers
3406-3427
DOI
10.1002/qj.4368
Mission Affiliation
GPM
Major Category
GPM

Hurricane Laura (2020): A Comparison of Drop Size Distribution Moments Using Ground and Radar Remote Sensing Retrieval Methods

Submitted by LisaN on
Publication Year
Authors
Brauer, N., A. Alford, S. Waugh, M. Biggerstaff, G. Carrie, P.E. Kirstetter, J. Basara, D. Dawson, K. Elmore, J. Stevenson, R. Moore
Journal
JGR Atmos.
Volume
127(16)
Page Numbers
e2021JD035845
DOI
10.1029/2021JD035845
Mission Affiliation
GPM
Major Category
GPM

Exploring the Temporal Information From GEO Satellites for Estimating Precipitation With Convolutional Neural Networks

Submitted by LisaN on
Publication Year
Authors
Upadhyaya, S., P.E. Kirstetter, R. Kuligowski, M. Searls
Journal
IEEE Geoscience and Remote Sensing Letters
Volume
19
Page Numbers
1005905
DOI
10.1109/LGRS.2022.3189535
Mission Affiliation
GPM
Major Category
GPM

Diurnal Precipitation Features over Complex Terrains along the Yangtze River in China Based on Long-Term TRMM and GPM Radar Products

Submitted by LisaN on
Publication Year
Authors
Zhu, S., C. Liu, J. Cao, and T. Lavigne
Journal
Remote Sens.
Volume
15(13)
Page Numbers
3451
DOI
10.3390/rs15133451
Mission Affiliation
GPM
Major Category
GPM
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