GPM Refereed Publications
Augusto Guimaraes Santos, C., R. Moura Brasil Neto, R. Marques da Silva, and D. Correia dos Santos,
: Innovative approach for geospatial drought severity classification: a case study of Paraı ́ ba state, Brazil. Stochastic Environmental Research and Risk Assessment, , , doi:10.1007/s00477-018-1619-9.
Arulraj, M., and A. P. Barros,
: Improving quantitative precipitation estimates in mountainous regions by modelling low-level seeder-feeder interactions constrained by Global Precipitation Measurement Dual-frequency Precipitation Radar measurements. Rem. Sens.of the Environ., 231, 111213, doi:10.1016/j.rse.2019.111213.
Arulraj, M. and A. P. Barros,
: Shallow Precipitation Detection and Classification Using Multifrequency Radar Observations and Model Simulations. J. Atmos. Oceanic Technol., 34, 1963-1983, doi:10.1175/JTECH-D-17-0060.1.
Arulraj, M. and A. P. Barros,
: Automatic detection and classification of low-level orographic precipitation processes from space-borne radars using machine learning. Remote Sensing of Environment, 257, 112355, doi:10.1016/j.rse.2021.112355.
Arulraj, M. and A. P. Barros,
: Improving quantitative precipitation estimates in mountainous regions by modelling low-level seeder-feeder interactions constrained by Global Precipitation Measurement Dual-frequency Precipitation Radar measurements. Rem. Sens. Environ., 231, 111213, doi:10.1016/j.rse.2019.111213.
Arias, I., and V. Chandrasekar,
: Cross validation of the network of ground-based radar with GPM during the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign. J. Meteor. Soc. Japan, 99(6), 1423-1438, doi:10.2151/jmsj.2021-069.
Arabzadeh, A., M. R. Ehsani, B. Guan, S. Heflin, and A. Behrangi,
: Global Intercomparison of Atmospheric Rivers Precipitation in Remote Sensing and Reanalysis Products. JGR - Atmos., 125(21), e2020JD033021, doi:10.1029/2020JD033021.
Arabzadeh, A., and A. Behrangi ,
: Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover. Rem. Sens., 13(14), 2726, doi:0.3390/rs13142726.
Aonashi, K., K. Okamoto, T. Tashima, T. Kubota, and K. Ito,
: Sampling Error Damping method for a Cloud-Resolving Model using a Dual-Scale Neighboring Ensemble Approach. Mon. Wea. Rev., 144, 4751-4770, doi:10.1175/MWR-D-15-0410.1.
Aonashi K., T. Tashima, T. Kubota, and K. Okamoto,
: Introduction of a Mixed Lognormal Probability Distribution Function and a New Displacement Correction Method for Precipitation to the Ensemble-Based Variational Assimilation of the All-Sky Microwave Imager Brightness Temperatures. J. Meteor. Soc. Japan, 99(5), 1201-1230, doi:10.2151/jmsj.2021-059.
Aoki, S., and S. Shige,
: Large Precipitation Gradients along the South Coast of Alaska Revealed by Spaceborne Radars. J. Meteor. Soc. Japan, 99(1), 5-25, doi:10.2151/jmsj.2021-001.
Angulo-Martinez, M., and A. P. Barros,
: Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains. Geomorphology, 228, 28-40, doi:10.1016/j.geomorph.2014.07.036.
Andreadis, K. M, N. N. Das, D. Stampoulis, A. Ines, J. B. Fisher, S. L. Granger, J. Kawata, E. Han, A. Behrangi,
: The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation. PLOS ONE, , , doi:10.1371/journal.pone.0176506.
Andrea Portier, S. Ringerud, and G. J. Huffman,
: GPM Celebrates Ten Years of Observing Precipitation for Science and Society. The Earth Observer, , , doi:. https://science.nasa.gov/science-research/earth-science/gpm-celebrates-ten-years-of-observing-precipitation-for-science-and-society/
Anand, A., A. S. Dinesh, P. K. Srivastava, S. K. Chaudhary, A. K. Varma, and P. Kumar,
: Rainfall rate estimation over India using global precipitation measurement’s microwave imager datasets and different variants of fuzzy information system. Geocarto International , 37(21), 6213-6231 , doi:10.1080/10106049.2021.1936208.
Amjad, M., M. T. Yilmaz, I. Yucel, and K. K. Yilmaz,
: Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography. J. Hydrology, 584, 124707, doi:10.1016/j.jhydrol.2020.124707.
Amiot, C. G., S. K. Biswas, T. J. Lang, and D. I. Duncan,
: Dual-Polarization Deconvolution and Geophysical Retrievals from the Advanced Microwave Precipitation Radiometer during OLYMPEX/RADEX. J. Atmos. Ocean. Technol., 38(3), 607–628, doi:10.1175/JTECH-D-19-0218.1.
Alvey III, G., E. Zipser, and J. Zawislak,
: How Does Hurricane Edouard (2014) Evolve toward Symmetry before Rapid Intensification? A High-Resolution Ensemble Study. J. Atmos. Sci., 77(4), 1329–1351 , doi:10.1175/JAS-D-18-0355.1.
Alquaied, F., R. Chen, W. Linwood Jones ,
: Hot Load Temperature Correction for TRMM Microwave Imager in the Legacy Brightness Temperature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(6), 1923-1931, doi:10.1109/JSTARS.2018.2837099.
Alfieri, L., and co-authors,
: A global network for operational flood risk reduction. Environmental Science & Policy, 84, 149-158, doi:10.1016/j.envsci.2018.03.014.