GPM Refereed Publications
Battaglia, A., P. Kollias, R. Dhillon, K. Lamer, M. Khairoutdinov, and D. Watters,
: Mind the gap – Part 2: Improving quantitative estimates of cloud and rain water path in oceanic warm rain using spaceborne radars. Atmos. Meas. Tech., 13, 4865–4883, doi:10.5194/amt-13-4865-2020.
Battaglia, A., P. Kollias, R. Dhillon, R. Roy, S. Tanelli, M. Lebsock, M. Grecu, K. Lamer, D. Watters, K. Mroz, G. Heymsfield, L. Li, and K. Furukawa,
: Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward. Reviews of Geophysics, 58(3), e2019RG000686, doi:10.1029/2019RG000686.
Battaglia, A., S. Tanelli, F. Tridon, S. Kneifel, J. Leinonen, and P. Kollias,
: Triple-Frequency Radar Retrievals. In: Satellite Precipitation Measurement. V. Levizzani, C. Kidd, D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, F. J. Turk, Eds. Advances in Global Change Research, 67, 211-229, doi:10.1007/978-3-030-24568-9_13.
Battaglia, A., S. Tanelli, G. M. Heymsfield, and L. Tian,
: The Dual Wavelength Ratio Knee: A Signature of Multiple Scattering in Airborne Ku–Ka Observations. J. Appl. Meteor. Climatol., 53, 1790-1808, doi:10.1175/JAMC-D-13-0341.1.
Bauer-Gottwein, P., E. Zakharova, M. Coppo Frías, H. Ranndal, K. Nielsen, L. Christoffersen, J. Liu, and L. Jiang,
: A hydraulic model of the Amur River informed by ICESat-2 elevation. Hydrological Sciences Journal, 68(14), 2027-2041, doi:10.1080/02626667.2023.2245811.
Baydaroğlu, O., and I. Demir,
: Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting. J. Hydroinformatics, 26(3), 589–607, doi:10.2166/hydro.2024.235.
Bazzi, H., N. Baghdadi, M. El Hajj, and M. Zribi,
: Potential of Sentinel-1 Surface Soil Moisture Product for Detecting Heavy Rainfall in the South of France. Sensors, 19(4), 802, doi:10.3390/s19040802.
Beasley, P., V. Misra, C. B. Jayasankar, and A. Bhardwaj,
: Heat waves in Florida and their future from high-resolution regional climate model integrations. Int. J. Climatol., , , doi:10.1002/joc.8278.
Beauchamp, R. M., V. Chandrasekar, H. Chen, and M. Vega,
: Overview of the D3R Observations during the IFloodS Field Experiment with Emphasis on Rainfall Mapping and Microphysics. J. Hydrometeor., 16, 2118-2132, doi:10.1175/JHM-D-15-0023.1.
Bech, H. E. Wood, M. Pan, C. Fisher, D. Miralles, A. van Dijk, T. McVicar, and R. F. Adler,
: MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment . Bull. Amer. Meteor. Soc., 100(3), 473–500, doi:10.1175/BAMS-D-17-0138.1.
Bechtold, P., M. Janousek, and J. Schröttle ,
: Chapter 8 - Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system. Science Direct: Multi-Scale Precipitation Variability Over the Tropics New Insights from Observations and Modelling, , 181-204, doi:https://doi.org/10.1016/B978-0-443-14030-3.00005-X.
Behera, I., N. Jain, T. R. Martha, and M. Bose,
: Optimising sampling strategies for AI-based landslide susceptibility mapping: a case study of Idukki, Kerala. Natural Hazards, 122(18), 18, doi:10.1007/s11069-025-07842-8.
Behrangi, A., A. S. Gardner, and D. N. Wiese,
: Comparative analysis of snowfall accumulation over Antarctica in light of Ice discharge and gravity observations from space. Environ. Res. Lett., 15, 104010, doi:10.1088/1748-9326/ab9926.
Behrangi, A., A. S. Gardner, J. T. Reager, and J. B. Fisher,
: Using GRACE to constrain precipitation amount over cold mountainous basins. Geophys. Res. Lett., 44(1), 219-227, doi:10.1002/2016GL071832.
Behrangi, A., and Y. Song,
: A new estimate for oceanic precipitation amount and distribution using complementary precipitation observations from space and comparison with GPCP. Environ. Res. Lett., 15, 124042, doi:10.1088/1748-9326/abc6d1.
Behrangi, A., and Y. Wen,
: On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products. Remote Sensing, 9(11), 1127, doi:10.3390/rs9111127.
Behrangi, A., K. J. Bormann, and T. H. Painter,
: Using the Airborne Snow Observatory to Assess Remotely Sensed Snowfall Products in the California Sierra Nevada. Water Resources Res., 54(10), 7331-7346, doi:10.1029/2018WR023108.
Behrangi, A., X. Yin, S. Rajagopal, D. Stampoulis, and H. Ye,
: On distinguishing snowfall from rainfall using near‐surface atmospheric information: Comparative analysis, uncertainties and hydrologic importance. Quart. J. Roy. Meteor. Soc., 144(S1), 89-102, doi:10.1002/qj.3240.
Behrangi, A., Y. Song, G. J. Huffman, and R. F. Adler,
: Comparative Analysis of the Latest Global Oceanic Precipitation Estimates from GPM V07 and GPCP V3.2 Products. J. Hydrometeorology, 25(2), 293–309, doi:10.1175/JHM-D-23-0082.1.
Beikahmadi, N., A. Francipane, and L. V. Noto,
: Smart Data Blending Framework to Enhance Precipitation Estimation through Interconnected Atmospheric, Satellite, and Surface Variables. Hydrology, 10(6), 128, doi:10.3390/hydrology10060128.