PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset

Submitted by LisaN on
Publication Year
Authors
Nguyen, P., M. Ombadi, V. A. Gorooh, E. J. Shearer, M. Sadeghi, S. Sorooshian, K. Hsu, D. Bolvin, and M. F. Ralph
Journal
J. Hydrometeorology
Volume
21(12)
Page Numbers
2893–2906
DOI
10.1175/JHM-D-20-0177.1
Mission Affiliation
Major Category

Advancing Passive Microwave Retrievals of Precipitation Using CloudSat and GPM Coincidences: Integration of Machine Learning with a Bayesian Algorithm

Submitted by LisaN on
Publication Year
Authors
Rahimi, R., A. Ebtehaj, and L. Milani
Journal
J. Hydrometeorology
Volume
26(5)
Page Numbers
537–553
DOI
10.1175/JHM-D-24-0040.1
Mission Affiliation
Major Category

Machine Learning for Explanation of Subgrid Convective Precipitation: A Case Study over CONUS Using a Convection-Allowing Model and SHAP Analysis

Submitted by LisaN on
Publication Year
Authors
Kang, H., and A. Abtehaj
Journal
Artificial Intelligence for the Earth Systems
Volume
4(1)
DOI
10.1175/AIES-D-24-0062.1
Mission Affiliation
Major Category