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 Atmospheric Physics And Weather (329E): People
Ali  Behrangi's Picture
Jet Propulsion Laboratory
M/S 233-300
4800 Oak Grove Drive
Pasadena, CA 91109
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Curriculum Vitae:

Ali Behrangi

  • Post-doctoral scholar, Caltech, USA (2010-2012)
  • Ph. D. Civil Engineering/Hydrology, University of California Irvine (UCI), USA (2009)
  • M.Sc. Civil Engineering/Water resources, Sharif University of Technology (SUT), Iran
  • B.Sc. Civil Engineering, Sharif University of Technology (SUT), Iran

Research Interests


  • Multi-sensor Multi-spectral remote sensing of precipitation
  • High Latitude and mountainous rain and snow retrievals and analysis
  • Hydroclimatic analysis (drought, fire, and flood) and societal interactions.
  • Extreme weather  and climate analysis (e.g., tropical storms and extreme precipitation)
  • Global water and energy budget analysis
  • Hydrologic/watershed modeling and optimization
  • Developing high resolution precipitation products for hydrometeorological applications.
  • Representation of precipitation in climate models
  • Cloud classification and precipitation characteristics
  • Evaluation of precipitation products using ground validation data

Current funded projects:

  • High Latitude Improvement of Long-term GPCP Precipitation Products Using Recent NASA Missions (Principal Investigator - NASA MEaSUREs, 2018-2022)
  • Simulation-Based Uncertainty Quantification for Atmospheric Remote Sensing Retrievals (Co-I - NASA Advanced Information Systems Technology, 2017-2019)
  • Using GRACE to advance precipitation analysis in cold regions (Principal Investigator – GRACE and GRACE-FO science team, 2016-2018).
  • Revising the global precipitation climatology in light of the most advanced observations from space mission (Principal Investigator - NASA Energy and Water Cycle Study, 2015-2017).
  • Multi-sensor Precipitation and Reflectivity Analysis and Retrievals for Precipitation and All- weather Temperature and Humidity (PATH) mission (Principal Investigator - WEATHER, 2013-2016).
  • Improving high lat. precipitation products towards evaluation of reanalysis and climate models, (Principal investigator- NASA new investigator program 2014-2017).
  • Using aircraft and satellite sensors to determine the role of thermodynamics at multiple scales in the initiation and organization of tropical convection, (Co-investigator- NASA WEATHER, 2017-2019).
  • The JPL Fire Danger Assessment System (FDAS): Using satellite observations to map global wildfire risk (Co-Investigator, NASA JPL RTD 2016-2017)
  • The Regional Hydrological Extremes Assessment System (Co-investigator- JPL RTD, 2012-2014).
  • East Africa Drought and Agricultural Productivity Assessment and Prediction System (Co-investigator- NASA SERVIR, 2012-2016).
  • Radiative and Large-Scale Forcing of Tropical Clouds and Their Controls on High SST Environments Using Multi-Sensor Aqua and ECMWF-Reanalysis Datasets (Co-PI, AQUA/TERRA 2014-2017).
  • Analysis of the AIRS and CrIS radiometric calibration under cloudy conditions and error propagation into environmental products (Co-investigator- NASA SNPP, 2014-2016).


NASA's Earth Science Program is dedicated to advancing Earth remote sensing and pioneering the scientific use of satellite measurements to improve human understanding of our home planet.

GRACE, the Gravity Recovery and Climate Experiment, provide measurements of the Earth’s gravity field, including the variability of ocean mass.

The NASA Energy and Water cycle Study project uses satellite observations to improve predictions of water-related processes in the Earth's climate system.

SERVIR aims to advance and transition NASA capabilities towards critical regions around the world.

CloudSat Icon CloudSat
CloudSat is an experimental satellite that uses radar to study clouds and precipitation from space. CloudSat flys in orbital formation as part of the A-Train constellation of satellites (Aqua, CloudSat, CALIPSO, PARASOL, and Aura).

The Atmospheric Infrared Sounder, AIRS, is an instrument whose goal is to support climate research and improved weather forecasting.

Professional Experience
  • Associate Professor, University of Arizona, (2018-present)
  • Research Scientist, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA (2012-present)
  • Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, Post Doctoral scholar (2010-2012)
  • University of California, Irvine, Center for Hydrometeorology and remote sensing (CHRS), Graduate Research Assistant (2005-2009)
  • NASA Goddard Space Flight Center Intern, (Summer 2008)
  • Center for water resources research & SABIR Co., Iran (2001-2004)

Selected Awards
  • Fellow, Kavli Frontiers of Science, National Academy of Sciences (2017)
  • NASA early career achievement medal (2016)
  • GEWEX outstanding early career presentation award (The Netherlands, 2014)
  • NASA New Investigator Program (NIP, 2014)
  • JPL Team Award (800), Water Cycle Workshop (2013)
  • JPL Outstanding Postdoc Research Award (2012)
  • NASA Earth and Space Science (NESSF) fellowship (2007-2009)
  • Outstanding Achievement in Doctoral Education in Civil Engineering from the Association of Professors and Scholars of Iranian Heritage (2010)
  • Award recipient of Excellence in Engineering Education, sponsored by the Society of American Iranian Engineers and Architectures (2010)
  • AGU Outstanding Student Paper Award (2009)
  • Best Research Poster Award in the Seventh Annual "California: Prosperity through Technology" Industry Research Symposium (2008 F. Maseeh foundation award).
  • Research and travel grant UCI (2007)
  • 2006 Outstanding student award, Iranian American Society of Civil Engineers (IASCE).

Selected Publications
  1. A. Behrangi, A. S. Gardner, J. T. Reager, and J. B. Fisher, 2017: Using GRACE to constrain precipitation amount over cold mountainous basins. Geophys. Res. Lett., , 44, PP. 9, doi:10.1002/2016GL071832. J. Geophys. Res., 44, PP. 9, doi:10.1002/2016GL071832.
  2. Y. Wen, P. Kirstetter, J. J. Gourley, Y. Hong, A. Behrangi, 2017: Z. Flamig, Evaluation of MRMS snowfall products over the western United States., J. J. of Hydrometeorology Res. (in press).
  3. Herold, N.,A. Behrangi, and L.V. Alexander, 2017: Large uncertainties in observed daily precipitation extremes over land.J.Journal of Geophysical Research: Atmospheres,. Res.,122, 668-681.
  4. A. Behrangi, M. W. Christensen, M. Richardson, M. Lebsock, G. Stephens, G. Huffman, D. Bolvin, R. Adler, A. S. Gardner, B. Lambrigtsen, and E. Fetzer, 2016: Status of High latitude precipitation estimates from observations and reanalyses. J. Geophys. Res., 21(9), 4468-4486.
  5. A. Behrangi, , B. Guan, P. J. Neiman, M. Schreier, and B. Lambrigtsen, 2016: On the Quantification of Atmospheric Rivers Precipitation from Space: Composite Assessments and Case Studies over the Eastern North Pacific Ocean and the Western United States. Journal of Hydrometeorology, 369-382.
  6. Stephens, G. L., M. Z. Hakuba, M. Hawcroft, J. M. Haywood, A. Behrangi, J. E. Kay, and P. J. Webster, 2016:  The Curious Nature of the Hemispheric Symmetry of the Earth’s Water and Energy Balances, Current Climate Change Reports, 1-13.
  7. Christensen, M. W., A. Behrangi, T. L'Ecuyer, N. B. Wood, M. Lebsock, and G. Stephens, 2016: Arctic Observation and Reanalysis Integrated System: A New Data Product for Validation and Climate Study. Bull. Amer. Meteor. Soc. (accepted; doi:
  8. B. Thomas, A. Behrangi, J. Famiglietti, 2016: Precipitation intensity effects on groundwater recharge in the southwestern united states, Water special collection for arid and semi-arid regions, water 8(3), 90.
  9. S. Chen, Y. Tian, A. Behrangi, J. Hu, Y. Hong, Z. Zhang, P. M. Stepanian, B. Hu, and X. Zhang, 2016: Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally Merged Satellite/Gauge Observations-Part I: Spatial and Seasonal Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP, 1-13.
  10. Wen, Y., A. Behrangi, B. Lambrigtsen, and P.-E. Kirstetter, 2016: Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States. Remote Sensing, 8, 904.
  11. F. J Tapiador, A. Behrangi, Z. Haddad, D. Katsanos, M. D. Castro, 2016: Disruptions in the Historical Global Precipitation Cycles in Twenty CMIP5 Models: Attribution to Anthropic Forcing, J. of Geophysical research,121(5), 2161-2177.
  12. Guo, H., S. Chen, A. Bao, A. Behrangi, Y. Hong, F. Ndayisaba, J. Hu, and P. M. Stepanian, 2016: Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China. Atmospheric Research, 176-177, 121-133.
  13. A. Behrangi, H. Nguyen, and S. Granger, 2015: Probabilistic Seasonal Prediction of Meteorological Drought Using the Bootstrap and Multivariate Information. Journal of Applied Meteorology and Climatology, 54, 1510-1522.
  14. A. Behrangi, , P. Loikith, E. Fetzer, H. Nguyen, and S. Granger, 2015: Utilizing Humidity and Temperature Data to Advance Monitoring and Prediction of Meteorological Drought. Climate, 3, 999.
  15. A. Behrangi, H. Nguyen, B. Lambrigtsen, M. Schreier, and V. Dang, 2015: Investigating the role of multi-spectral and near surface temperature and humidity data to improve precipitation detection at high latitudes. Atmospheric Research, 163, 2-12. (IPWG special collection)
  16. Ye, H., E. J. Fetzer, A. Behrangi, S. Wong, B. H. Lambrigtsen, C. Y. Wang, J. Cohen, and B. L. Gamelin, 2015: Increasing Daily Precipitation Intensity Associated with Warmer Air Temperatures over Northern Eurasia. Journal of Climate, 29, 623-636.
  17. Ye, H., E. J. Fetzer, A. Behrangi, S. Wong, B. H. Lambrigtsen, C. Y. Wang, J. Cohen, and B. L. Gamelin, 2015: Increasing Daily Precipitation Intensity Associated with Warmer Air Temperatures over Northern Eurasia. Journal of Climate, 29, 623-636.
  18. S. Chen, , J. Hu, Z. Zhang, A. Behrangi, Y. Hong, A. S. Gebregiorgis, J. Cao, B. Hu, X. Xue, and X. Zhang, 2015: Hydrologic Evaluation of the TRMM Multisatellite Precipitation Analysis Over Ganjiang Basin in Humid Southeastern China. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 8, 4568-4580.
  19. A. Behrangi, G. Stephens, R. F. Adler, G. J. Huffman, B. Lambrigtsen, and M. Lebsock, 2014: An Update on the Oceanic Precipitation Rate and Its Zonal Distribution in Light of Advanced Observations from Space. Journal of Climate, 27, 3957-3965.
  20. A. Behrangi, K. Andreadis, J. B. Fisher, F. J. Turk, S. Granger, T. Painter, and N. Das, 2014: Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins. Journal of Applied Meteorology and Climatology, 53, 2823-2842.
  21. A. Behrangi, S. Wong, K. Mallick, and J. B. Fisher, 2014: On the net surface water exchange rate estimated from remote-sensing observation and reanalysis. International Journal of Remote Sensing, 2170-2185.
  22. A. Behrangi, Y. Tian, B. H. Lambrigtsen, and G. L. Stephens, 2014: What does CloudSat reveal about global land precipitation detection by other spaceborne sensors? Water Resources Research, 50, 4893-4905.
  23. Chen, S., J. Zhang, E. Mullens, Y. Hong, A. Behrangi, Y. Tian, X. Hu, J. Hu, Z. Zhang, and X. Zhang (2014), Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE, Geoscience and Remote Sensing, IEEE Transactions on, PP(99), 1-10.
  24. H. Ye., E. J. Fetzer, S. Wong, A. Behrangi, E. T. Olsen, J. Cohen, B. H. Lambrigtsen, and L. Chen, 2014: Impact of increased water vapor on precipitation efficiency over northern Eurasia. Geophysical Research Letters, 41, 2014GL059830.
  25. Y. Tian, Y. Liu, K. Arsenault, A. Behrangi, 2014: A New Approach to Satellite-based Estimation of Precipitation over Snow Cover, Int. J. Remote Sens., 35 (13), 4940–4951.
  26. A. Behrangi, M. Lebsock, S. Wong, B. Lambrigtsen, 2012: On the quantification of oceanic rainfall using space-born sensors, J. Geophys. Res., 117(D20), D20105.
  27. Zahraei, A., K. Hsu, S. Sorooshian, JJ. Gourley, Y. Hong, and A. Behrangi, 2013: Short-term quantitative precipitation forecasting using an object-based approach. Journal of Hydrology, 483, 1-15.
  28. H.H. Aumann, A. Ruzmaikin, A. Behrangi, 2012: On the surface temperature sensitivity of the reflected shortwave, outgoing longwave and net incident radiation, Journal of Climate, 25, 6585-6593.
  29. A. Behrangi, K. Hsu, S. Sorooshian , 2012: Summertime evaluation of REFAME for near real-time high resolution precipitation estimation over the Unites States, Journal of Hydrology, 456-57(0), 130-138.
  30. AghaKouchak, A., A. Mehran, H. Norouzi, and A. Behrangi, 2012: Systematic and random error components in satellite precipitation data sets. Geophysical Research Letters, 39, 4.
  31. M. Smith, ..., A. Behrangi, ..., The Distributed Model Intercomparison Project - Phase 2: Experiment Design and Summary Results of the Western Basin Experiments, Journal of Hydrology, 507, 300-329.
  32. A. Behrangi, T. Kubar, B. Lambrigtsen, 2012: Phenomenological Description of Tropical Clouds Using Cloudsat Cloud Classification, Monthly Weather Review, 140(10), 3235-3249.
  33. A. Behrangi, S. Casey, Bjorn Lambrigtsen, 2012: Three dimensional distribution of cloud types over the United States and Surrounding areas observed by Cloudsat, International Journal of Remote Sensing, 33(16), 4856-4870.
  34. A. Behrangi, B. Khakbaz, T.C. Jaw, A. Aghakouchack, K. Hsu, S. Sorooshian, 2011: Hydrologic Evaluation of Satellite Precipitation Products at Basin-scale , Journal of Hydrology, 397 (3-4), pp. 225-237.
  35. Y. Hong, W. F. Krajewski, J. Gourley, A. Behrangi, G. Villarinil, G. Skofronick Jackson, A. Berne, P. Xie, E. Amitai, R. Uijlenhoet, 2010, Outlook for high-resolution precipitation measurements for hydrologic applications, AGU Hydrology section newsletter, Dec issue. 2010, http:// newsletter.html.
  36. A. Behrangi, B. Imam, K. Hsu, S. Sorooshian, T. Bellerby, G. J. Huffman, 2010: REFAME: Rain Estimation using Forward Adjusted-advection of Microwave Estimates, J. Hydrometeorology, 11, 1340-1356.
  37. A. Behrangi, K. Hsu, B. Imam, S. Sorooshian, 2010: Daytime Precipitation Estimation Using Cloud Segmentation and Bi-spectral Cloud Classification System, Journal of Applied Meteorology and Climatology, IPWG special issue, 1015-1031.
  38. A. Behrangi, K. Hsu, B. Imam, S. Sorooshian, G.J. Huffman, and R.J. Kuligowski, 2009: PERSIANN-MSA: A Precipitation Estimation Method from Satellite Based Multispectral Analysis. J. Hydrometeorology, 10, 1414-1429.
  39. A. Behrangi, K. Hsu, B. Imam, S. Sorooshian, and R.J. Kuligowski, 2009: Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation.Journal of Hydrometeorology, 10, 684-700.
  40. A. Behrangi, B. Khakbaz, J. A. Vrugt, Q. Y. Duan, and S. Sorooshian, 2008: Comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Bryan A. Tolson and Christine A. Shoemaker, Water Resources Research, 44, 3.

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