GPM Refereed Publications

Displaying 161 - 180 of 588 Total Publications
Jianga, S., L. Rena, C.-Y. Xub, B. Yonga, F. Yuana, Y. Liua, X. Yanga, and X. Zeng, 2018: Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China. Atmos. Res., 214, 418-429, doi:10.1016/j.atmosres.2018.08.021.
Jin, D., L. Oreopoulos, D. Lee, J. Tan, and K.-M. Kim, 2020: Large‐scale Characteristics of Tropical Convective Systems through the Prism of Cloud Regime. J. Geophys. Res. Atmos., 125, e2019JD031157, doi:10.1029/2019JD031157.
Johnson, B. T., W. S. Olson, and G. Skofronick-Jackson, 2017: The microwave properties of simulated melting precipitation particles: sensitivity to initial melting. Atmos. Meas. Tech., 9, 9-21, doi:10.5194/amt-9-9-2016.
Johnston, B., F. Xie, and C. Liu, 2018: The effects of deep convection on regional temperature structure in the tropical upper tropopasphere and lower stratosphere. J. Geophys. Res., 123, 1585-1603, doi:10.1002/2017JD027120.
Kacimi S., N. Viltard and P. E. Kirstetter, 2013: A new methodology for rain identification from passive microwave data in Tropics using neural networks. Q. J. R. Meteor. Soc., 139, 912-922, doi:10.1002/qj.2114.
Karbalaee, N., K. Hsu, S. Sorooshian, and D. Braithwaite, 2017: Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data. J. Geophys. Res. - Atmos., 122, 3859–3876, doi:10.1002/2016JD026037.
Katsumata, M., S. Mori, B. Geng, and J. Inoue, 2016: Internal structure of ex-Typhoon Phanfone (2014) under an extratropical transition as observed by the research vessel Mirai. Geophys. Res. Lett., 43, 9333-9341, doi:10.1002/2016GL070384.
Keem, M., B.-C. Seo, W. F. Krajewski, and K. R. Morris, 2019: Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD Radars. Atmos. Res., 226, 49-65, doi:10.1016/j.atmosres.2019.04.010.
Khan, S., V. Maggioni, P. E. Kirstetter, 2018: Investigating the potential of using Satellite-based Precipitation Radars as Reference for Evaluating Multi-Satellite Merged Products. J. Geophys. Res., 123, 8646-8660, doi:10.1029/2018JD028584.
Kidd, C., G. J. Huffman, A. Becker, G. Skofronick-Jackson, D. Kirschbaum, P. Joe, and C. Muller, 2015: So, how much of the Earth’s surface is covered by rain gauges?. Bull. Amer. Meteor. Soc., 98, 69-78, doi:10.1175/BAMS-D-14-00283.1.
Kidd, C., J. Tan, P. E. Kirstetter, W. Petersen, 2018: Validation of the Version 05 Level 2 precipitation products from the GPM Core Observatory and constellation satellite sensors. Q. J. R. Meteor. Soc., 144, 313-328, doi:10.1002/qj.3175.
Kidd, C., T. Matsui, J. Chern, K. Mohr, C. Kummerow, and D. Randel, 2015: Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme. J. Hydrometeor., 17, 383-400, doi:10.1175/JHM-D-15-0051.1.
Kim, J.-H., M.-L. Ou, J.-D. Park, K. R. Morris, M. R. Schwaller, and D. B. Wolff, 2014: Global Precipitation Measurement (GPM) Ground Validation (GV) Prototype in the Korean Peninsula. J. Atmos. Oceanic Technol., 31, 1902-1921, doi:10.1175/JTECH-D-13-00193.1.
Kim, M., J. Jin, A. El Akkraoui, W. McCarty, R. Todling, W. Gu, and R. Gelaro, 2020: The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System. Mon. Wea. Rev., doi:10.1175/MWR-D-19-0100.1.
Kim, M.-J., J. Jin, A. El Akkaroui, W. McCarty, R. Todling, W. Gu, and R. Gelaro, 2017: All-sky Microwave Imager Data Assimilation at NASA GMAO. JCSDA Newsletter 2017 Summer Issue, doi:10-29T14:12:30+00:00Z.
Kim, M.-J., J. Jin, A. El Akkraoui, W. McCarty, R. Todling, W. Gu, and R. Gelaro, 2020: The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System. Mon. Wea. Rev., doi:10.1175/MWR-D-19-0100.1.
Kirchmeier-Young, M. C., F. W. Zwiers, N. P. Gillett, and A. J. Cannon, 2017: Attributing extreme fire risk in Western Canada to human emissions. Climatic Change, 144, 365-379, doi:10.1007/s10584-017-2030-0.
Kirschbaum, D., and T. Stanley, 2018: Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness. Earth's Future, 6(3), 505-523, doi:10.1002/2017ef000715.
Kirschbaum, D., G. Huffman, G. Skofronick-Jackson, S. Braun, E. Stocker, K. Garrett, E. Jones, R. Adler, H. Wu, A. McNally, and B. Zaitchik, 2017: NASA’s Remotely-sensed Precipitation: A Reservoir for Applications Users. Bull. Amer. Meteor. Soc., 98, 1169-1184, doi:10.1175/BAMS-D-15-00296.1.
Kirstetter, P. E., N. Karbalaee, K. Hsu, and Y. Hong, 2018: Probabilistic Precipitation Rate Estimates with Space-based Infrared Sensors. Q. J. R. Meteor. Soc., 144, 191-205, doi:10.1002/qj.3243.

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