Spatial Patterns of Errors in GPM IMERG Summer Precipitation Estimates and Their Connections to Geographical Features in Complex Topographical Area

Submitted by LisaN on
Publication Year
Authors
Li, R., S. Tang, Z. Shi, J. He, W. Shi, and X. Li
Journal
Rem. Sens.
Volume
14(19)
Page Numbers
4789
DOI
10.3390/rs14194789
Mission Affiliation
Major Category

Validation of the Final Monthly Integrated Multisatellite Retrievals for GPM (IMERG) Version 05 and Version 06 with Ground-Based Precipitation Gauge Measurements across the Canadian Arctic

Submitted by LisaN on
Publication Year
Authors
Eckert, E., D. Hudak, É. Mekis, P. Rodriguez, B. Zhao, Z. Mariani, S. Melo, K. Strong, and K. A. Walker
Journal
J. Hydrometeorology
Volume
23(5)
Page Numbers
715–731
DOI
10.1175/JHM-D-21-0040.1
Mission Affiliation
Major Category

Evaluation of bulk microphysics parameterizations for simulating the vertical structure of heavy rainfall between Korea and the United States

Submitted by LisaN on
Publication Year
Authors
Song, H.-J., and K.-S. S. Lim
Journal
Weather and Climate Extremes
Volume
37
Page Numbers
100490
DOI
10.1016/j.wace.2022.100490
Mission Affiliation
Major Category
IMERG Precipitation Anomaly for Day of Year 1 to 30
In many places, the amount of that rain falls on a particular day or hour is influenced by multiple natural cycles that exist simultaneously on different time scales. One such cycle repeats every 24 hours, and another repeats every year. The global extent of these cycles can be studied using NASA's IMERG precipitation estimates that have been generated for 1998 to the present. Most of Earth's precipitation falls as rain, and the rest falls as snow, hail, or other forms of precipitation. The length of IMERG's data record makes it possible to average out some of the random error and unrelated