GPM Refereed Publications
Faramarzzadeh, M., and Coauthors,
: Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa. Environmental Processes, 10(8), , doi:10.1007/s40710-023-00625-y.
Farfán, L. M., B. S. Barrett, G. B. Raga, and J. J. Delgado,
: Characteristics of mesoscale convection over northwestern Mexico, the Gulf of California, and Baja California Peninsula. Int'l. J. Climatology, 41(S1), E1062-E1084, doi:10.1002/joc.6752.
Farzanegan, M. R., and S. Fischer,
: The Effect of the “Woman Life Freedom” Protests on Life Satisfaction in Iran: Evidence from Survey Data. SSRN Electronic Journal, , 10643, doi:10.2139/ssrn.4568762.
Favrichon, S., C. Jimenez, and C. Prigent,
: Inter-calibrating SMMR brightness temperatures over continental surfaces. Atmos. Measur. Techs., 13(10), 5481–5490, doi:10.5194/amt-13-5481-2020.
Favrichon, S., C. Prigent, C. Jimenez, and R. Vogt,
: Global Mapping of Microwave Emissivity and Emitting Depth in Arid Areas Using GMI Observations. Earth and Space Science, 10(11), e2022EA002756, doi:10.1029/2022EA002756.
Favrichon, S., C.e Prigent, C. Jimenez, and F. Aires,
: Detecting cloud contamination in passive microwave satellite measurements over land. Atmos. Meas. Techs., 12(3), 1531–1543, doi:10.5194/amt-12-1531-2019.
Fayne, J. V., A. Ahamed, J. Roberts-Pierel, A. C. Rumsey, and D. Kirschbaum,
: Automated Satellite-Based Landslide Identification Product for Nepal. Earth Interactions, 23(3), 1–21, doi:10.1175/EI-D-17-0022.1.
Federico, S., R. C. Torcasio, S. Puca, G. Vulpiani, A. C. Prat, S. Dietrich, and E. Avolio,
: Impact of Radar Reflectivity and Lightning Data Assimilation on the Rainfall Forecast and Predictability of a Summer Convective Thunderstorm in Southern Italy. Atmosphere, 12(8), 958, doi:10.3390/atmos12080958.
Feijoó, M., and S. Solman,
: Convection-permitting modeling strategies for simulating extreme rainfall events over Southeastern South America. Climate Dynamics, 59, 2549–2569, doi:10.1007/s00382-022-06226-z.
Feldman, A. F., D. J. S. Gianotti, I. F. Trigo, G. D. Salvucci, and D. Entekhabi,
: Satellite-Based Assessment of Land Surface Energy Partitioning–Soil Moisture Relationships and Effects of Confounding Variables. Water Resources Research, 55(12), 10657-10677, doi:10.1029/2019WR025874.
Feldman, A. F., Z. Zhang, Y. Yoshida, P. Gentine, A. Chatterjee, D. Entekhabi, J. Joiner, and B. Poulter,
: A multi-satellite framework to rapidly evaluate extreme biosphere cascades: The Western US 2021 drought and heatwave. Global Change Biology, 29(13), 3634-3651, doi:10.1111/gcb.16725.
Feng, C., and Z. Pu,
: The impacts of assimilating Aeolus horizontal line-of-sight winds on numerical predictions of Hurricane Ida (2021) and a mesoscale convective system over the Atlantic Ocean. Atmos. Meas. Techs., 16(10), 2691–2708, doi:10.5194/amt-16-2691-2023.
Feng, C., and Z. Pu,
: A Bias Correction Scheme with the Symmetric Cloud Proxy Variable and Its Influence on Assimilating All-Sky GOES-16 Brightness Temperatures. Mon. Wea. Rev., 150(12), 3305–3323, doi:10.1175/MWR-D-21-0333.1.
Feng, C., Z. Pu, A. R. Nehrir, K. M. Bedka, and J. Doyle,
: Benefits of Assimilating DAWN and HALO Observations for Numerical Simulations of Tropical Convective Systems Associated with African Easterly Waves during NASA’s CPEX-AW and CPEX-CV. J. Atmos. Oceanis Technol., 42(11), 1419–1444, doi:10.1175/JTECH-D-24-0138.1.
Feng, J., K. Zhang, H. Zhan, and L. Chao,
: Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau. Hydrology and Earth System Sciences, 27(2), 363–383, doi:10.5194/hess-27-363-2023.
Feng, J., X. An, L. Sheng, F. Wang, and W. Li,
: Mechanisms of Upper-Level Divergence Superimposed on Low-Level Disturbance Causing Heavy Rainfall Over the Northern South China Sea in Autumn: Case Study. JGR Atmospheres, 129(22), e2024JD041460, doi:10.1029/2024JD041460.
Feng, S., L. Gao, J. Qiu, X. Liu, W. T. Crow, T. Zhao, C. Tan, S. Wang, and J.-P. Wigneron,
: Can real-time NDVI observations better constrain SMAP soil moisture retrievals?. Remote Sensing of Environment, 318, 114569, doi:10.1016/j.rse.2024.114569.
Feng, X., C. Liu, F. Xie, J. Lu, L. S. Chiu, G. Tintera, B. Chen,
: Precipitation characteristic changes due to global warming in a high-resolution (16 km) ECMWF simulation. Q. J. R. Meteorol. Soc., 145, 303-317, doi:10.1002/qj.3432.
Feng, Y., J. He, and G. Ma,
: Analysis of the Effect of the Fengyun-3D Satellite Microwave Humidity Sounder (MWHS-II) Data Assimilation on Typhoon “YAGI” Forecast. Chinese Journal of Space Science, 45(2), 364-382, doi:10.11728/cjss2025.02.2024-0201.
Feng, Z., A. F. Prein, J. Kukulies, T. Fiolleau, W. L. Jones, B. Maybee, Z. L. Moon, K. M. Núñez Ocasio, W. Dong, M. J. Molina, M. G. Albright, M. Rajagopal, V. Robledo, J. Song, F. Song, L. R. Leung, A. C. Varble, C. Klein, R. Roca, R. Feng, and J. F. Mejia,
: Mesoscale Convective Systems Tracking Method Intercomparison (MCSMIP): Application to DYAMOND Global km-Scale Simulations. JGR Atmospheres, 130(8), e2024JD042204, doi:10.1029/2024JD042204.