GPM Refereed Publications
Turk, F. J., S. E. Ringerud, A. Camplani, D. Casella, R. J. Chase, A. Ebtehaj, J. Gong, M. Kulie, G. Liu, L. Milani, G. Panegrossi, R. Padullés, J.-F. Rysman, P. Sanò, S. Vahedizade, and N. Wood,
: Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sens., 13(12), 2264, doi:10.3390/rs13122264.
Turk, F. J., S. E. Ringerud, Y. You, A. Camplani, D. Casella, G. Panegrossi, P. Sano, A. Ebtehaj, C. Guilloteau, N. Utsumi, C. Prigent, and C. Peters-Lidard,
: Adapting Passive Microwave-Based Precipitation Algorithms to Variable Microwave Land Surface Emissivity to Improve Precipitation Estimation from the GPM Constellation. J. Hydrometeor., 22(7), 1755-1781, doi:10.1175/JHM-D-20-0296.1.
Turk, F. J., S. Hristova-Veleva, S. L. Durden, S. Tanelli, O. Sy, G. D. Emmitt, S. Greco, and S. Q. Zhang,
: Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX). Atmos. Meas. Tech., 13(8), 4521–4537, doi:10.5194/amt-13-4521-2020.
Turk, F. J., Z. S. Haddad and Y. You,
: Estimating Nonraining Surface Parameters to Assist GPM Constellation Radiometer Precipitation Algorithms. J. Atmos. Oceanic Technol., 33, 1333–1353, doi:10.1175/JTECH-D-15-0229.1.
Turk, F. J., Z. S. Haddad, and Y. You,
: Principal Components of Multifrequency Microwave Land Surface Emissivities. Part I: Estimation under Clear and Precipitating Conditions. J. Hydrometeor., 15, 3-19, doi:10.1175/JHM-D-13-08.1.
Turk, J., Z. Haddad, P. E. Kirstetter, S. Ringerud, Y. You,
: An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework. Q. J. R. Meteor. Soc., 144, 145-164, doi:10.1002/qj.3203.
Ueno, K., W. Mito, R. Kanai, Y. Ueji, K. Suzuki, H. Kobayashi, I. Tamagawa, M. K. Yamamoto, and S. Shige,
: Distribution of precipitation depending on synoptic scale disturbances with satellite estimate comparisons in the Japanese Alps area during warm seasons. Journal of Geography, 128, 31-47, doi:.
Ullah, S., N. Shahzad, L. Yan, Z. Zuo, I. Iqbal, and M. J. Tareen,
: Enhancing Fine-Resolution Precipitation Estimates in Data-Scarce Regions: A Novel Spatial Downscaling and Correction Framework. Earth Systems and Environment, , , doi:10.1007/s41748-025-00758-0.
Ullrich, P. A., C. M. Zarzycki, E. E. McClenny, M. C. Pinheiro, A. M. Stansfield, and K. A. Reed,
: TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets. Geosci. Model Dev., 14(8), 5023–5048, doi:10.5194/gmd-14-5023-2021.
Umakanth, N., R. Gogineni, K. M. M. Rao, B. R. Reddy, S. H. Ahammad, and M. C. Rao,
: Spatial Analysis of Tropical Cyclone Yaas using Satellite Data. Malaysian Journal of Science, 43(4), 54-67, doi:10.22452/mjs.vol43no4.7.
Umirbekov, A., M. D. Peña-Guerrero, I. Didovets, H. Apel, A. Gafurov, and D. Müller,
: The value of hydroclimatic teleconnections for snow-based seasonal streamflow forecasting in central Asia. Hydrology and Earth System Sciences, 29(14), 3055–3071, doi:10.5194/hess-29-3055-2025.
Upadhyaya, S., P. E. Kirstetter, J. J. Gourley, and R. J. Kuligowski,
: On the Propagation of Satellite Precipitation Estimation Errors: From Passive Microwave to Infrared Estimates. J. Hydrometeor., 21(6), 1367–1381, doi:10.1175/JHM-D-19-0293.1.
Upadhyaya, S., P. E. Kirstetter, R. Kuligowski, and M. Searls,
: Classifying precipitation from GEO satellite observations: Diagnostic model. Quart. Journal of the Royal Meteorological Society, 147(739), 3318-3334, doi:10.1002/qj.4130.
Upadhyaya, S., P. E. Kirstetter, R. Kuligowski, J. Gourley, and H. Grams,
: Classifying precipitation from GEO satellite observations: Prognostic model. Quart. Journal of the Royal Meteorological Society, 147(739), 3394-3409, doi:10.1002/qj.4134.
Upadhyaya, S., P.E. Kirstetter, R. Kuligowski, M. Searls,
: Exploring the Temporal Information From GEO Satellites for Estimating Precipitation With Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters, 19, 1005905, doi:10.1109/LGRS.2022.3189535.
Upadhyaya, S., P.E. Kirstetter, R. Kuligowski, M. Searls,
: Towards improved precipitation estimation with the GOES-16 advanced baseline imager: Algorithm and evaluation. Quart. Journal of the Royal Meteoro. Soc., 148(748), 3406-3427, doi:10.1002/qj.4368.
Usman, M., and K. Heki,
: Satellite gravimetry observations on the state of groundwater level variability in the Arabian Peninsula Region and the associated socio-economic sustainability challenges. Groundwater for Sustainable Development, 26, 101270, doi:10.1016/j.gsd.2024.101270.
Utsumi, N., and H. Kim,
: Warm Season Satellite Precipitation Biases for Different Cloud Types Over Western North Pacific. IEEE Geoscience and Remote Sensing Letters, 15, 808–812, doi:10.1109/LGRS.2018.2815590.
Utsumi, N., F. J. Turk, Z. S. Haddad, P.-E. Kirstetter, and H. Kim,
: Evaluation of Precipitation Vertical Profiles Estimated by GPM-Era Satellite-Based Passive Microwave Retrievals. J. Hydrometeor., 22(1), 95–112, doi:10.1175/JHM-D-20-0160.1.
Utsumi, N., H. Kim, F. J. Turk, and Z. S. Haddad,
: Improving Satellite-Based Subhourly Surface Rain Estimates Using Vertical Rain Profile Information. J. Hydrometeor., 20, 1015–1026, doi:10.1175/JHM-D-18-0225.1.