NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks

Submitted by LisaN on
Publication Year
Authors
Ehsani, M. R., A. Zarei, H. V. Gupta, K. Barnard, E. Lyons, and A. Behrangi
Journal
IEEE Transactions on Geoscience and Remote Sensing
Volume
60
Page Numbers
1-21
DOI
10.1109/TGRS.2022.3158888
Mission Affiliation
Major Category

A comparison of correction factors for the systematic gauge-measurement errors to improve the global land precipitation estimate

Submitted by LisaN on
Publication Year
Authors
Ehsani, M. R., and A. Behrangi
Journal
J. Hydrology
Volume
610
Page Numbers
127884
DOI
10.1016/j.jhydrol.2022.127884
Mission Affiliation
Major Category

Multiscale Interactions Contributing to Enhanced Orographic Precipitation in Landfalling Frontal Systems over the Olympic Peninsula

Submitted by LisaN on
Publication Year
Authors
Dolan, B., S. A. Rutledge, and K. Rasmussen
Journal
Mon. Wea. Rev.
Volume
150(6)
Page Numbers
1207–1231
DOI
10.1175/MWR-D-21-0160.1
Mission Affiliation
Major Category

A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements

Submitted by LisaN on
Publication Year
Authors
Das, S., Y. Wang, J. Gong, L. Ding, S. J. Munchak, C. Wang, D. L. Wu, L. Liao, W. Olson, and D. Barahona
Journal
Remote Sensing
Volume
14(15)
Page Numbers
3631
DOI
10.3390/rs14153631
Mission Affiliation
Major Category