GPM Refereed Publications

Lodh, A., A. Routray, D. Dutta, J. P. George, and A. K. Mitra, : Improving the prediction of monsoon depressions by assimilating ASCAT soil moisture in NCUM-R modeling system. Atmos. Res., 272, 106130, doi:10.1016/j.atmosres.2022.106130.
Llerena, A., P. Gachon, and R. Laprise, : Precipitation Extremes and Their Links with Regional and Local Temperatures: A Case Study over the Ottawa River Basin, Canada. Atmosphere, 14(7), 1130, doi:10.3390/atmos14071130.
Lledó, L., T. Haiden, and M. Chevallier, : An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method. Hydrology and Earth System Sciences, 28(23), 5149–5162, doi:10.5194/hess-28-5149-2024.
Liu, Z., Y. Wen, V. Mantas and D. Meyer, : We Need a Better Way to Share Earth Observations. Eos, 104, , doi:10.1029/2023EO230190.
Liu, Z., W. Ai, X. Zhao, S. Hu, C. Guo, L. Wang, and M. Feng, : Retrieval of Hurricane Rain Rate From SAR Images Based on Artificial Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 15067 - 15076, doi:10.1109/JSTARS.2024.3403454.
Liu, Z., M.-S Jin, J. Liu, A. Li, W. Teng, B. Vollmer, and D. Meyer, : Global Satellite Observations for Smart Cities. Book chapter in Data Analytics for Smart Cities, , 37-66, doi:ISBN: 978-1138308770.
Liu, Z., J. Huang, X. Xiao, and X. Tong, : The capability of CMIP6 models on seasonal precipitation extremes over Central Asia. Atmos. Res., 278, 106364, doi:10.1016/j.atmosres.2022.106364.
Liu, Z., H. Hou, L. Zhang, and B. Hu, : Event-Based Bias Correction of the GPM IMERG V06 Product by Random Forest Method over Mainland China. Rem. Sens., 14(16), 3859, doi:10.3390/rs14163859.
Liu, Z., D. Ostrenga, B. Vollmer, S. Kempler and W. Teng, : NASA global satellite-based precipitation products and services for drought monitoring activities. Handbook of Drought and Water Scarcity, Volume 1: Chapter 22, , doi:.
Liu, Z., D. Ostrenga, B. Vollmer, B. Deshong, K. Macritchie, M. Greene, and S. Kempler, : Global Precipitation Measurement Mission Products and Services at the NASA GES DISC. Bull. Amer. Meteor. Soc., 98, 437-444, doi:10.1175/BAMS-D-16-0023.1.
Liu, Z., D. Ostrenga, A. Savtchenko, et al., : Global Satellite‐Based Precipitation Products. Handbook of Water Harvesting and Conservation, , 153-175, doi:10.1002/9781119478911.ch11.
Liu, Z., D. Ostrenga, A. K. Savtchenko, et al., : NASA Global Near-Real-Time and Research Precipitation Products for Flood Monitoring, Modeling, Assessment, and Research. Flood Handbook, ISBN: 9780429463938, 519-540, doi:10.1201/9780429463938.
Liu, Z., D. Meyer, C.-L. Shie, and A. Li, : NASA Global Satellite and Model Data Products and Services for Tropical Cyclone Research. IntechOpen, , , doi:10.5772/intechopen.89720.
Liu, Z., C.-L. Shie, A. Ki, and D. Meyer, : NASA Global Satellite and Model Data Products and Services for Tropical Meteorology and Climatology. Remote Sensing, 12(17), 2821, doi:10.3390/rs12172821.
Liu, Z., and Y. Wen, : Accelerating Earth Science to Action. Bull. Amer. Meteor. Soc., 106(10), E2043–E2051, doi:10.1175/BAMS-D-24-0226.1.
Liu, Z., and T. Yao, : Strategizing Earth Science Data Development. Scientific Data, 11(1), 693, doi:10.1038/s41597-024-03531-6.
Liu, Z., : Comparison of Integrated Multisatellite Retrievals for GPM (IMERG) and TRMM Multisatellite Precipitation Analysis (TMPA) Monthly Precipitation Products: Initial Results. J. Hydrometeor., 17, 777-790, doi:10.1175/JHM-D-15-0068.1.
Liu, Z., : Accuracy of satellite precipitation products in data-scarce Inner Tibetan Plateau comprehensively evaluated using a novel ground observation network. Journal of Hydrology: Regional Studies, 47, 101405, doi:10.1016/j.ejrh.2023.101405.
Liu, Z., : Evaluation of rainfall thresholds triggering debris flows in western China with gauged- and satellite-based precipitation measurement. J. Hydrology, 620(Part B), 129500, doi:10.1016/j.jhydrol.2023.129500.
Liu, Z., : Comprehensive Evaluation of High-Resolution Satellite Precipitation Products over the Qinghai–Tibetan Plateau Using the New Ground Observation Network. Rem. Sens., 15(13), 3381, doi:10.3390/rs15133381.