Publications

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• Behrangi, A., Y. Song, G. J. Huffman, and R. F. Adler, 2024: Comparative Analysis of the Latest Global Oceanic Precipitation Estimates from GPM V07 and GPCP V3. 2 Products. Journal of Hydrometeorology. 25, 293–309, https://doi.org/10.1175/JHM-D-23-0082.1.

• Hilario, M.R.A, AF Arellano, A Behrangi, EC Crosbie, JP DiGangi, GS Diskin, ...Assessing potential indicators of aerosol wet scavenging during long-range transport, Atmospheric Measurement Techniques 17 (1), 37-55

• Hoopes, C. A., C. L. Castro, A. Behrangi, M. R. Ehsani, and P. Broxton, 2023: Improving prediction of mountain snowfall in the southwestern United States using machine learning methods. Meteorological Applications, 30, e2153.

• Rahimi, R., A. Ebtehaj, A. Behrangi, and J. Tan, 2023: Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture. arXiv preprint arXiv:2307.10843.

• Zeraati, M., A. Farahmand, K. Asghari, and A. Behrangi, 2023: Developing a Multivariate Agro-Meteorological Index to Improve Capturing Onset and Persistence of Droughts Utilizing Vapor Pressure Deficit (VPD) and Soil Moisture. Authorea Preprints.

• Huffman, G. J., R. F. Adler, A. Behrangi, D. T. Bolvin, E. J. Nelkin, G. Gu, and +M. R. Ehsani, 2023: The New Version 3.2 Global Precipitation Climatology Project (GPCP) Monthly and Daily Precipitation Products. Journal of Climate, 1-44. https://doi.org/10.1175/JCLI-D-23-0123.1.

• +Marcovecchio, A. R., B. Xi, X. Zheng, P. Wu, X. Dong, and A. Behrangi, 2023: What Are the Similarities and Differences in Marine Boundary Layer Cloud and Drizzle Microphysical Properties During the ACE-ENA and MARCUS Field Campaigns? Journal of Geophysical Research: Atmospheres, 128, e2022JD037109.

• Li, Z., E. J. Thompson, A. Behrangi, H. Chen, and J. Yang, 2023: Performance of GPCP daily products over oceans: Evaluation using Passive Aquatic Listeners. Geophysical Research Letters, 50, e2023GL104310.

• Hilario, M. R. A., and Coauthors, 2023: Identifying Better Indicators of Aerosol Wet Scavenging During Long-Range Transport. EGUsphere, 2023, 1-26.

• Faramarzzadeh, M., and Coauthors, 2023: 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.

• +Agnihotri, J., A. Behrangi, A. Tavakoly, M. Geheran, M. A. Farmani, and G. Y. Niu, 2023: Higher Frozen Soil Permeability Represented in a Hydrological Model Improves Spring Streamflow Prediction from River Basin to Continental Scales. Water Resources Research, 59, e2022WR033075.

• +Lau, A., and A. Behrangi, 2022: Understanding Intensity–Duration–Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks. Remote Sensing, 14, 5032.

• Ghajarnia, N., and Coauthors, 2022: Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. Earth and Space Science, 9, e2022EA002352.

• Ehsani, M. R., and Behrangi A., 2022: A Comparison of Correction Factors for the Systematic Gauge-Measurement Error to Improve the Global Land Precipitation Estimate. Journal of Hydrology, (in print).

• Zandi, O., B. Zahraie, M. Nasseri, and A. Behrangi, 2022: Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area. Atmospheric Research, 272, 106159.

• Ehsani, M. R., A. Zarei, H. V. Gupta, K. Barnard, E. Lyons, and A. Behrangi, 2022: NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-21.

• Javadian, M.; Smith, W.K.; Lee, K.; Fisher, J.B.; Knowles, J.F.; Scott. R.L.; Moore, D.J.P.; Leeuwen, W.V.; Behrangi, A. (2022). Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006617.

• Adhikari, A., A. Behrangi (2022), Assessment of Satellite Precipitation Products in Relation with Orographic Enhancement Over the Western United States, Journal of Earth and Space Science, 9, e2021EA001906. https://doi.org/10.1029/2021EA001906

• Behrangi, A. (2021), Cold region precipitation consistency and emerging synergetic Earth observations, Quarterly GEWEX newsletter, Vol. 31, No. 4, Quarter 4 November 2021, P 22-23, https://www.gewex.org/gewex-content/files_mf/1640101560Q42021.pdf.

• Dou, Y., L. Ye, H. V. Gupta, H. Zhang, A. Behrangi, and H. Zhou (2021), Improved Flood Forecasting in Basins With No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products, Water Resources Research, 57(12), e2021WR029682, doi: https://doi.org/10.1029/2021WR029682.

• Yang Song, Patrick Broxton, +Mohammad Reza Ehsani and Ali Behrangi,   Assessment of Snowfall Accumulation from Satellite and Reanalysis Products using SNOTEL Observations in Alaska, remote sensing, , 13(15), 2922.

• Arabzadeh, A., and A. Behrangi (2021), Investigating Various Products of IMERG for Precipitation Retrieval over Surfaces with and without Snow and Ice Cover, Remote Sensing, 13(14), 2726.

• Gupta, H. V., +M. R. Ehsani, T. Roy, M. A. Sans-Fuentes, U. Ehret, and A. Behrangi (2021), Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples, Entropy, 23(6), 740.

• Marcovecchio, A., A. Behrangi, X. Dong, B. Xi, and Y. Huang (2021), Precipitation Influence on and Response to Early and Late Arctic Sea Ice Melt Onset During Melt Season, International Journal of Climatology, 1– 16. https://doi.org/10.1002/joc.7233.

• Ehsani R., Behrangi A., Adhikari A., Song Y., Huffman, G. J., Adler, R. F., Bolvin D., Nelkin E.  "Assessment of the Advanced Very High-Resolution Radiometer (AVHRR) for Snowfall Retrieval in High Latitudes Using CloudSat and Machine Learning.", Journal of Hydrometeorology 22(6), 1591-1608, doi: 10.1175/jhm-d-20-0240.1.

• Ayat, H., J. P. Evans, and A. Behrangi, 2021: How do different sensors impact IMERG precipitation estimates during hurricane days, Remote Sensing of Environment (in print).

• Ayat, H., J. P. Evans, S. Sherwood, and A. Behrangi, 2021: Are Storm Characteristics the Same When Viewed Using Merged Surface Radars or a Merged Satellite Product? Journal of Hydrometeorology, 22, 43-62

• Singh, A., J. T. Reager, and A. Behrangi, 2021: Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit, Hydrol. Earth Syst. Sci., 25(2), 511-526, doi: 10.5194/hess-25-511-2021.

• Ye, H., D. Yang, A. Behrangi, S. L. Stuefer, X. Pan, E. Mekis, Y. Dibike, and J. E. Walsh, 2021: Precipitation Characteristics and Changes, in Arctic Hydrology, Permafrost and Ecosystems, edited by D. Yang and D. L. Kane, pp. 25-59, Springer International Publishing, Cham

• Li, Z., Y. Wen, M. Schreier, A. Behrangi, Y. Hong, B. Lambrigtsen, 2021: Advancing Satellite Precipitation Retrievals with Data-Driven Approaches: Is black-box model explainable? Earth and Space Science, 8(2), e2020EA001423, doi: https://doi.org/10.1029/2020EA001423.

• Arabzadeh, A., M. R. Ehsani, B. Guan, S. Heflin, and A. Behrangi, 2020: Global Intercomparison of Atmospheric Rivers Precipitation in Remote Sensing and Reanalysis Products. Journal of Geophysical Research: Atmospheres, 125, e2020JD033021.

• Ehsani, M. R., and Coauthors (…, A. Behrangi), 2020: 2019–2020 Australia Fire and Its Relationship to Hydroclimatological and Vegetation Variabilities. Water, 12, 3067.

• Lyu, F., G. Tang, A. Behrangi, T. Wang, X. Tan, Z. Ma, and W. Xiong, 2020: Precipitation Merging Based on the Triple Collocation method across Mainland China, Transactions on Geoscience and Remote Sensing, 1-16.

• Behrangi, A., and Y. Song, 2020: A new estimate for oceanic precipitation amount and distribution using complementary precipitation observations from space and comparison with GPCP. Environmental Research Letters, doi: https://doi.org/10.1088/1748-9326/abc6d1

• Adhikari, A., A. Behrangi, Y. Song, M. R. Ehsani, 2020: Comparative Assessment of Snowfall Retrieval from Microwave Humidity Sounders using Machine Learning Methods, Earth and Space Science, n/a, e2020EA001357.

• Hilario, M. R. A., and Coauthors (… A. Behrangi), 2020: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection. Atmos. Chem. Phys. Discuss., 2020, 1-42.

• Song, Y., A. Behrangi, E. Blanchard, 2020: Assessment of Satellite and Reanalysis Cold Season Snowfall Estimates over Arctic Sea Ice, Geophysical Research Letters, 47, e2020GL088970.

• Behrangi, A., A. S. Gardner, and D. N. Wiese, 2020: Comparative analysis of snowfall accumulation over Antarctica in light of ice discharge and gravity observations from space, Environmental Research Letters, doi: https://doi.org/10.1088/1748-9326/ab9926.

• Javadian, M., A. Behrangi, W. K. Smith, and J. B. Fisher, 2020: Global Trends in Evapotranspiration Dominated by Increases Across Large Cropland Regions. Remote Sensing, 12, 1221.

• Farahmand, A., E. N. Stavros, J. T. Reager, A. Behrangi, 2020: Introducing spatially distributed Fire Danger from Earth Observations. Remote Sensing, 12, 1221.

• Dadashazar, H., E. Crosbie, M. Majdi, +M. Panahi, M. Moghaddam, A. Behrangi, M. Brunke, X. Zeng, H. Jonsson, A. Sorooshian, 2020: Stratocumulus Cloud Clearings: Statistics from Satellites, Reanalysis Models, and Airborne Measurements, Atmos. Chem. Phys ., 20(8), 4637-4665.

• Barkhordarian, A., S. S. Saatchi, A. Behrangi, P. C. Loikith, and C. R. Mechoso, 2019: A Recent Systematic Increase in Vapor Pressure Deficit over Tropical South America, Scientific Reports, Nature,  9(1), 15331, doi: 10.1038/s41598-019-51857-8.

• Farahmand, A., E. N. Stavros, J. T. Reager, A. Behrangi, J. Randerson, and B. Quayle, 2019: Satellite Hydrology Observations as Operational Indicators of Forecasted Fire Danger across the Contiguous United States. Nat. Hazards Earth Syst. Sci, 20(4), 1097-1106.

• Wang, Y.-H., P. Broxton, Y. Fang, A. Behrangi, M. Barlage, X. Zeng, and G.-Y. Niu, 2019: A Wet-Bulb Temperature-Based Rain-Snow Partitioning Scheme Improves Snowpack Prediction Over the Drier Western United States. Geophysical Research Letters, 46, 13825-13835.

• Panahi M. and A. Behrangi, 2019:  Comparative analysis of snowfall accumulation and gauge undercatch correction factors from diverse data sets, Asia-Pacific Journal of Atmospheric Sciences, doi:10.1007/s13143-019-00161-6.

• Javadian, M., A. Behrangi, and A. Sorooshian, 2019: Impact of drought on dust storms: case study over Southwest Iran. Environmental Research Letters, 14, 124029.

• Alexander L., H. Fowler, M. Bador, A. Behrangi, M. Donat, R. Dunn, C. Funk, J. Goldie, E. Lewis, M. Rogé, S. Seneviratne, V. Venugopal, 2019: On the use of indices to study extreme precipitation on sub-daily and daily timescales. Environmental Research Letters, 1748-9326

• Funk, C., L. Harrison, L. V. Alexander, P. Peterson, A. Behrangi, and G. Husak, 2019: Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions. Environmental Research Letters, 1748-9326

• Behrangi, A., A. Singh, Y. Song, M. Panahi, 2019: Assessing Gauge Undercatch Correction in Arctic Basins in Light of GRACE Observations, Geophysical Research Letters doi: 10.1029/2019gl084221.

• Hu, J., S. Chen, A. Behrangi, and H. Yuan, 2019: Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion. Journal of Hydrology, 579, 124158.

•  Golian, S., M. Javadian, and A. Behrangi, 2019: On the use of satellite, gauge, and reanalysis precipitation products for drought studies. Environmental Research Letters, 14, 075005.

•  Javadian, M., A. Behrangi, M. Gholizadeh, and M. Tajrishy, 2019: METRIC and WaPOR Estimates of Evapotranspiration over the Lake Urmia Basin: Comparative Analysis and Composite Assessment. Water, 11, 1647 (featured on the Food and Agriculture Organization (FAO) of the United Nations website).

• Behrangi A., K. Boremann, T.H. Painter, 2018: Using the airborne snow observatory to assess remotely sensed snowfall products in the California mountains. Water Resources Research, , https://doi.org/10.1029/2018WR023108

• Behrangi A., A. Gardner, J. T. Reager, J. Fisher, D. Yang, G. Huffman, R. Adler, 2018: Using GRACE to estimate snowfall accumulation and assess gauge undercatch corrections in high latitudes, Journal of climate, 31, 8689-8704.

• Tang, G., D. Long, A. Behrangi, C. Wang, and Y. Hong, 2018: Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data. Water Resources Research, 54, 8253-8278.

• Behrangi, A., X. Yin, S. Rajagopal, D. Stampoulis, H. Ye, 2018: On distinguishing snowfall from rainfall using near-surface atmospheric information: comparative analysis, uncertainties, and hydrologic importance, Quarterly Journal of the Royal Meteorological Society , 144, 89-102.

• Aumann, H.H.,  A. Behrangi, Y. Wang, 2018: “Increased Frequency of Extreme Tropical Deep Convection: AIRS Observations and Climate Model Predictions “, Geophysical Research Letters (in press)

• Behrangi, A., and M. Richardson, 2018: Observed High-Latitude Precipitation Amount and Pattern and CMIP5 Model Projections. Remote Sensing, 10, 1583.

• Tang, G., A. Behrangi, Z. Ma, Y.  Hong, 2018: Downscaling of ERA-Interim temperature in the Contiguous United States and its implications for rain-snow partitioning, Journal of hydrometeorology , https://doi.org/10.1175/JHM-D-18-0041.1.

• Barkhordarian Armineh; Storch Hans; Behrangi Ali; Loikith Paul C.; Mechoso Carlos R.; Detzer Judah, 2018: Simultaneous regional detection of land-use changes and elevated ghg levels: The case of spring precipitation in tropical south america. Geophysical Research Letters, 45, 6262-6271.

• Singh, A., A. Behrangi, J. B. Fisher, and J. T. Reager, 2018: On the Desiccation of the South Aral Sea Observed from Spaceborne Missions. Remote Sensing, 10, 793.

• Tang, G. A. Behrangi, Y. Hong, 2018: Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded precipitation products, Journal of Hydrology, 559, 294-306.

• Rajasekaran, E., N. Das, C. Poulsen, A. Behrangi, J. Swigart, M. Svoboda, D. Entekhabi, S. Yueh, B. Doorn, and J. Entin, 2018: SMAP Soil Moisture Change as an Indicator of Drought Conditions, Remote Sensing, 10(5), 788.

• Wong, S., A. Behrangi, 2018: Regime Dependent Differences in Surface Freshwater Exchange Estimates over the Ocean, Geophysical Research Letters, 45, 955-963

• Wen, Y., A. Behrangi, H. Chen, and B. Lambrigtsen, 2018: How Well the Early 2017 California Atmospheric River Precipitation Events Were Captured by Satellite Products and Ground-based Radars? Q. J. R. Meteorol. Soc., .

• Behrangi, A., 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, 219-227.

• G. Zhang, T. Yao, C.K. Shum, …, A. Behrangi et al., 2017: Lake volume and groundwater storage variations in Tibetan Plateau’s endorheric basin, Geophys. Res. Lett., 44, doi:10.1002/2017GL073773.

• Behrangi, A., and Y. Wen, 2017: On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products. Remote Sensing, 9, 1127.

• Yanovsky, I., A. Behrangi, Y. Wen, M. Schreier, V. Dang, and B. Lambrigtsen, 2017: Enhanced Resolution of Microwave Sounder Imagery through Fusion with Infrared Sensor Data. Remote Sensing, 9, 1097.

• Andreadis, K. M., and Coauthors, 2017: The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation. PLOS ONE, 12, e0176506.

• Wen, Y., P. Kirstetter, J. J. Gourley, Y. Hong, A. Behrangi, and Z. Flamig, 2017: Evaluation of MRMS snowfall products over the western United States. Journal of Hydrometeorology, 0, doi: 10.1175/JHM-D-1116-0266.1171.

• Herold, N., A. Behrangi, and L. V. Alexander, 2017: Large uncertainties in observed daily precipitation extremes over land. Journal of Geophysical Research: Atmospheres, 122, 668-681.

• 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.

•  A. Behrangi, M. Richardson, M. Christensen, M. Lebsock, G. Stephens, G. Huffman, R. Adler et al.. 2016: Status of High latitude precipitation estimates from observations and reanalyses, J. of Geophysical research,121, 4468-4486.

• A. Behrangi, E. J. Fetzer, and S. L. Granger, 2016: Early detection of drought onset using near surface temperature and humidity observed from space. Int. J. of Remote Sensing, 37, 3911-3923.

• Y. Wen, 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.

• Stampoulis, D., K. M. Andreadis, S. L. Granger, J. B. Fisher, F. J. Turk, A. Behrangi, A. V. Ines, and N. N. Das, 2016: Assessing hydro-ecological vulnerability using microwave radiometric measurements from WindSat. Remote Sensing of Environment, 184, 58-72. Dart.

• Chen, S., 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.

•  Chen, S., Y. Hong, M. Kulie, A. Behrangi, P. M. Stepanian, Q. Cao, Y. You, J. Zhang, J. Hu, and X. Zhang, 2016: Comparison of Snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/NSSL Multi-Radar Multi-Sensor System. Journal of Hydrology, 541, 862-872.

• Thomas, B. F., A. Behrangi, and J. S. Famiglietti, 2016: Precipitation Intensity Effects on Groundwater Recharge in the Southwestern United States. water 8, 90.

•  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, 97, 907-915.

•  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: Atmospheres, 121, 2161-2177.

•  A. Behrangi, Bin Guan, Paul Neiman, Mathias Schreier, Bjorn 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.

• Ye, H., E. Fetzer, A. Behrangi, S. Wong, B. Lambrigtsen, et al., 2016: Increasing Daily Precipitation Intensity Associated with Warmer Air Temperatures over Northern Eurasia, Journal of Climate, 29(2), 623-636

•  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

•  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.

•  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(4), 999-1017

• Chen, S., 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.

• 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)

• Ye, H., E. J. Fetzer, S. Wong, A. Behrangi, D. Yang, and B. H. C. G. L. Lambrigtsen, 2015: Increasing atmospheric water vapor and higher daily precipitation intensity over Northern Eurasia. Geophysical Research Letters, 42. (in print; doi:10.1002/2015GL066104)

•  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. J. of Applied Meteorology and Climatology, 53, 2823-2842.

•  Chen, S., J. Zhang, Y. Hong, A. Behrangi, Y. Tian, and J.  Hu, 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, 1-10.

• 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.

• A. Behrangi, G. Stephens, R. F. Adler, G. J. Huffman, B. Lambrigtsen, 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.

• 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

• Tian, Y., Y. Liu, K. Arsenault, and A. Behrangi (2014), A New Approach to Satellite-based Estimation of Precipitation over Snow Cover,, Int. J. Remote Sens., 35(13), 4940–4951.

• Ye, H., 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.

•  Smith, M., V. Koren, …, A. Behrangi, et al., 2013: The distributed model intercomparison project-Phase 2: Experiment design and summary results of the western basin experiments. Journal of Hydrology, 507, 300-329.

•  Zahraei, A., K.-l. Hsu, S. Sorooshian, J. J. Gourley, Y. Hong, and A. Behrangi, 2013: Short-term quantitative precipitation forecasting using an object-based approach. J. of Hydrology, 483, 1-15.

•  Mahrooghy, M., V. G. Anantharaj, N. H. Younan, W. A. Petersen, K.-L. Hsu, A. Behrangi, and J. Aanstoos, 2013: Augmenting satellite precipitation estimation with lightning information. International Journal of Remote Sensing, 34, 5796-5811.

• 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.

• A. Behrangi, S. Sorooshian, K. Hsu, 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.

•  H.H. Aumann, A. Ruzmaikin, A. Behrangi, 2012:  On the surface temperature sensitivity of the reflected shortwave, outgoing longwave and net incident radiation, J. of Climate, 25, 6585-6593.

•  A. Behrangi, T. Kubar, B. Lambrigtsen, 2012: Phenomenological Description of Tropical Clouds Using Cloudsat Cloud Classification, Monthly Weather Review, 140(10), 3235-3249.

• AghaKouchak, A. Mehran, H. Norouzi, A. Behrangi, 2012: Systematic and Random Error Components in Satellite Precipitation Data Sets, Geophysical Research Letters, 39, 4.

• A. Behrangi, S. Casey, Bjorn Lambrigtsen, 2012: Three dimensional distribution of cloud types over the United States and Surrounding areas observed by Cloudsat, Int. J. of  Remote Sensing, doi:10.1080/01431161.2011.6394041429, 33(16), pp. 4856-4870

•  Smith, M., Koren, V., Zhang, Z., …, A. Behrangi, et. al. 2011: Results of the DMIP 2 Oklahoma Experiments, Journal of Hydrology (2011), doi:10.1016/j.jhydrol.2011.08.056

•  A. Behrangi,  B. Khakbaz, T.C. Jaw, A. AghaKouchak, K. Hsu, S. Sorooshian, 2011: Hydrologic Evaluation of Satellite Precipitation Products at Basin-scale ,  Journal  of Hydrology, 397 (3-4), pp. 225-237.

•  H. H. Aumann and S. G. DeSouza-Machado, A. Behrangi, 2011: Deep convective clouds at the tropopause, Atmos. Chem. Phys. Discuss., 10, 16475-16496

• AghaKouchak, A. Behrangi, S. Sorooshian, K. Hsu, E. Amitai, 2011: Evaluation of satellite-retrieved extreme precipitation rates across the Central United States, Journal of Geophysical Research,  116, D02115, doi:10.1029/2010JD014741.

•  A. Behrangi, B. Imam, K. Hsu, S.  Sorooshian, T. Bellerby, G.J. Huffman, 2010: REFAME: Rain Estimation using Forward Adjusted-advection of Microwave Estimates, Journal of Hydrometeorology, 11, 1305-1321.

•  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.

•  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.

• 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.

• 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.

• 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:// hydrology.agu.org/ newsletter.html.

 

  Links

  https://earthobservatory.nasa.gov/blogs/earthmatters/2017/10/27/research-roundup-atmospheric-rivers/