GPM Refereed Publications
Ayat, H., J. P. Evans, S. Sherwood, and A. Behrangi,
: Are Storm Characteristics the Same When Viewed Using Merged Surface Radars or a Merged Satellite Product?. J. Hydrometeor., 22(1), 43–62, doi:10.1175/JHM-D-20-0187.1.
Azka, M. A., and N. J. Trilaksono,
: Comparative Analysis of Diurnal and Seasonal Variations in Precipitation of Mesoscale Convective System and Non-Mesoscale Convective System over Borneo Island. Jurnal Meteorologi dan Geofisika, 25(2), 83-92, doi:10.31172/jmg.v25i2.1101.
Babker, Z., M. Basheer, T. G. Reichenau, J. Komma, O. M. Baez-Villanueva, M. Zargar, and K. Schneider,
: Comparative Evaluation of Gridded Precipitation Datasets in Capturing Hydrological Extremes in a Mesoscale Heterogeneous Catchment in Austria. Hydrological Processes, 39(12), e70359, doi:10.1002/hyp.70359.
Badger, M., H. Zuo, Á. Hannesdóttir, A. Owda, and C. Hasager,
: Lifetime prediction of turbine blades using global precipitation products from satellites. Wind Energy Science, 7(6), 2497–2512, doi:10.5194/wes-7-2497-2022.
Bae, J.-H., and K.-H. Min,
: Forecast Characteristics of Radar Data Assimilation Based on the Scales of Precipitation Systems. Rem. Sens., 14(3), 605, doi:10.3390/rs14030605.
Bai, H., and C. Schumacher,
: Topographic Influences on Diurnally Driven MJO Rainfall Over the Maritime Continent. JGR Atmospheres, 127(6), e2021JD035905, doi:10.1029/2021JD035905.
Baijnath-Rodino, J. A., P. V. V. Le, E. Foufoula-Georgiou, and T. Banerjee,
: Historical spatiotemporal changes in fire danger potential across biomes. Science of The Total Environment, 870, 161954, doi:10.1016/j.scitotenv.2023.161954.
Baijnath-Rodino, J.A., A. Martinez, R.A. York, E. Foufoula-Georgiou, A. AghaKouchak and T. Banerjee,
: Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations. Forest Ecology and Management, 543, 121142, doi:10.1016/j.foreco.2023.121142.
Bakhtar, A., A. Rahmati, A. Shayeghi, J. Teymoori, N. Ghajarnia, and P. Saemian,
: Spatio-Temporal Evaluation of GPM-IMERGV6.0 Final Run Precipitation Product in Capturing Extreme Precipitation Events across Iran. Water, 14(10), 1650, doi:10.3390/w14101650.
Baki, H., C. Balaji, and B. Srinivasan,
: Impact of data assimilation on a calibrated WRF model for the prediction of tropical cyclones over the Bay of Bengal. Current Science, 122(5), 569, doi:10.18520/cs/v122/i5/569-583.
Baki, H., S. Chinta, C. Balaji, and B. Srinivasan,
: Parameter Calibration to Improve the Prediction of Tropical Cyclones over the Bay of Bengal Using Machine Learning–Based Multiobjective Optimization. J. Appl. Meteor. Climatol., 61(7), 819–837, doi:10.1175/JAMC-D-21-0184.1.
Baki, H., S. Chinta, C. Balaji, and B. Srinivasan,
: Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity analysis and machine learning. Geoscientific Model Development, 15(5), 2133–2155, doi:10.5194/gmd-15-2133-2022.
Baladima, F., J. L. Thomas, D. Voisin, M. Dumont, C. Junquas, R. Kumar, C. Lavaysse, L. Marelle, M. Parrington, and J. Flemming,
: Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition. JGR Atmospheres, 127(8), e2021JD035745, doi:10.1029/2021JD035745.
Balogun, R. A., I. A. Balogun, V. O. Ajayi, R. Alexander, B. Pickering, and Z. Ahmed,
: Evolution, destination and characteristics of three westward propagating storms with associated impacts over Nigeria during August 2017 Atlantic hurricane season. Natural Hazards, 117, 2647–2674, doi:10.1007/s11069-023-05960-9.
Balsamo, G., A. Agusti-Panareda, C. Albergel, G. Arduini, A. Beljaars, J. Bidlot, N. Bousserez, S. Boussetta, A. Brown, R. Buizza, C. Buontempo, F. Chevallier, M. Choulga, H. Cloke, M.F. Cronin, M. Dahoui, P. de Rosnay, P.A. Dirmeyer, M. Drusch, E. Dutra, M.B. Ek, P. Gentine, H. Hewitt, S.P. Keeley, Y. Kerr, S. Kumar, C. Lupu, J.-F. Mahfouf, J. McNorton, S. Mecklenburg, K. Mogensen, J. Muñoz-Sabater, R. Orth, F. Rabier, R. Reichle, B. Ruston, F. Pappenberger, I. Sandu, S.I. Seneviratne, S. Tietsche, I.F. Trigo, R. Uijlenhoet, N. Wedi, R.I. Woolway, ,
: Satellite and in situ observations for advancing global earth surface modelling: A review. Rem. Sens., 10, 2038, doi:10.3390/rs10122038.
Bang, S. , S. Stough, T. Lang, and P. Gatling,
: The Multiplatform Precipitation Feature (MPF) Database: A Storm-Centric Synthesis of Space- and Ground-Based Precipitation and Lightning Data Sets for Convective Studies. Earth and Space Science, 10(11), e2023EA003137, doi:10.1029/2023EA003137.
Bang, S. D. and E. J. Zipser,
: Tropical Oceanic Thunderstorms Near Kwajalein and the Roles of Evolution, Organization, and Forcing in Their Electrification. JGR Atmospheres, 124(2), 544-562, doi:10.1029/2018JD029320.
Bang, S. D., and D. J Cecil,
: Testing Passive Microwave-Based Hail Retrievals Using GPM DPR Ku-Band Radar. J. of Appl. Meteor. and Climatol., 60(3), 255–271, doi:10.1175/JAMC-D-20-0129.1.
Bang, S. D., and D. J. Cecil,
: Constructing a Multi-Frequency Passive Microwave Hail Retrieval and Climatology in the GPM Domain. J. Appl. Meteor. Climatol., 52, , doi:10.1175/JAMC-D-19-0042.1.
Bang, S. D., B. R. Scarino, K. F. Itterly, K. M. Bedka, and D. J. Cecil,
: Challenges in Satellite Remote Sensing of Hail: Evaluating IR and Passive-Microwave Satellite Hail Retrievals Using Aqua Observations and a Deep Neural Network. J. Appl. Meteor. Cliamtol., 64(12), 2037–2058, doi:10.1175/JAMC-D-25-0053.1.