Ali Behrangi

Interests

Teaching

Remote sensing of precipitation and water cycle , Hydrology,

Research

• Multi-sensor multi-spectral remote sensing of precipitation• High latitude/cold region/mountainous rain and snow retrievals and analysis• Weather and climate extremes (extreme precipitation, drought, heatwaves) and societal impact• Global water and energy budget analysis• Hydrologic/watershed modeling and optimization• Developing precipitation products for hydrological applications.• Using advanced satellite and in-situ data to improve quantification of hydrologic variables • Representation of precipitation in climate models• Land-atmosphere interaction • Using GRACE for hydrometeorology• Precipitation and ground water recharge

Courses

Scholarly Contributions

Chapters

• Ye, H., Yang, D., Behrangi, A., Stuefer, S. L., Pan, X., Mekis, E., Dibike, Y., & Walsh, J. E. (2021). Precipitation Characteristics and Changes. In Arctic Hydrology, Permafrost and Ecosystems(pp 25--59). Springer, Cham.
• Behrangi, A. (2020). Improving High-Latitude and Cold Region Precipitation Analysis. In Satellite Precipitation Measurement(pp 881--895). Springer, Cham.
• Hsu, K., Behrangi, A., Imam, B., & Sorooshian, S. (2010). Extreme precipitation estimation using satellite-based PERSIANN-CCS algorithm. In Satellite Rainfall Applications for Surface Hydrology(pp 49--67). Springer, Dordrecht.

Journals/Publications

• Agnihotri, J., Behrangi, A., Tavakoly, A., Geheran, M., Farmani, M. A., & Niu, G. (2023). Higher Frozen Soil Permeability Represented in a Hydrological Model Improves Spring Streamflow Prediction From River Basin to Continental Scales. Water Resources Research, 59(4), e2022WR033075.
• Behrangi, A., Song, Y., Huffman, G. J., & Adler, R. F. (2023). Comparative Analysis of the Latest Global Oceanic Precipitation Estimates from GPM V07 and GPCP V3. 2 Products. Journal of Hydrometeorology.
• Faramarzzadeh, M., Ehsani, M. R., Akbari, M., Rahimi, R., Moghaddam, M., Behrangi, A., Kl\"ove, B., Haghighi, A. T., & Oussalah, M. (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(1), 8.
• Hilario, M., Arellano, A. F., Behrangi, A., Crosbie, E. C., DiGangi, J. P., Diskin, G. S., Shook, M. A., Ziemba, L. D., & Sorooshian, A. (2023). Identifying Better Indicators of Aerosol Wet Scavenging During Long-Range Transport. EGUsphere, 2023, 1--26.
• Hoopes, C. A., Castro, C. L., Behrangi, A., Ehsani, M. R., & Broxton, P. (2023). Improving prediction of mountain snowfall in the southwestern United States using machine learning methods. Meteorological Applications, 30(6), e2153.
• Huffman, G. J., Adler, R. F., Behrangi, A., Bolvin, D. T., Nelkin, E. J., Gu, G., & Ehsani, M. R. (2023). The new version 3.2 global precipitation climatology project (GPCP) monthly and daily precipitation products. Journal of Climate, 36(21), 7635--7655.
• Li, Z., Thompson, E. J., Behrangi, A., Chen, H., & Yang, J. (2023). Performance of GPCP Products Over Oceans: Evaluation Using Passive Aquatic Listeners. Authorea Preprints.
• Li, Z., Thompson, E. J., Behrangi, A., Chen, H., & Yang, J. (2023). Performance of GPCP daily products over oceans: Evaluation using Passive Aquatic Listeners. Geophysical Research Letters, 50(11), e2023GL104310.
• Marcovecchio, A. R., Xi, B., Zheng, X., Wu, P., Dong, X., & Behrangi, A. (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(18), e2022JD037109.
• Rahimi, R., Ebtehaj, A., Behrangi, A., & Tan, J. (2023). Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture. arXiv preprint arXiv:2307.10843.
• Zeraati, M., Farahmand, A., Asghari, K., & Behrangi, A. (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.
• Adhikari, A., & Behrangi, A. (2022). Assessment of satellite precipitation products in relation with orographic enhancement over the western United States. Earth and Space Science, 9(2), e2021EA001906.
• Behrangi, A., Gupta, H. V., Zarei, A., Ehsani, M. R., Barnard, K., & Lyons, E. (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. doi:10.1109/tgrs.2022.3158888
• Dashti, H., Smith, W. K., Huo, X., Fox, A. M., Javadian, M., Devine, C. J., Behrangi, A., & Moore, D. J. (2022). Underestimation of the impact of land cover change on the biophysical environment of the Arctic and Boreal Region of North America. Environmental Research Letters.
• Ehsani, M. R., & Behrangi, A. (2022). A comparison of correction factors for the systematic gauge-measurement errors to improve the global land precipitation estimate. Journal of Hydrology, 610, 127884.
• Ehsani, M. R., Heflin, S., Risanto, C. B., & Behrangi, A. (2022). How well do satellite and reanalysis precipitation products capture North American monsoon season in Arizona and New Mexico?. Weather and Climate Extremes, 38, 100521.
• Ehsani, M. R., Zarei, A., Gupta, H. V., Barnard, K., Lyons, E., & Behrangi, A. (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.
• Ghajarnia, N., Akbari, M., Saemian, P., Ehsani, M. R., Hosseini-Moghari, S., Azizian, A., Kalantari, Z., Behrangi, A., Tourian, M. J., Kl"ove, B., & others, . (2022). Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. Earth and Space Science, 9(10), e2022EA002352.
• Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Adler, R. F., Behrangi, A., Gu, G., & Ehsani, M. R. (2022). GPCP V3. 2 Release Notes.
• Javadian, M., Smith, W. K., Lee, K., Knowles, J. F., Scott, R. L., Fisher, J. B., Moore, D. J., Leeuwen, W. J., Barron-Gafford, G., & 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(2), e2021JG006617.
• Lau, A., & Behrangi, A. (2022). Understanding Intensity--Duration--Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks. Remote Sensing, 14(19), 5032.
• Marcovecchio, A., Behrangi, A., Dong, X., Xi, B., & Huang, Y. (2022). Precipitation influence on and response to early and late Arctic Sea ice melt onset during melt season. International Journal of Climatology, 42(1), 81--96.
• Zandi, O., Zahraie, B., Nasseri, M., & Behrangi, A. (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.
• Adhikari, A., & Behrangi, A. (2021). Assessment of Satellite Precipitation Products in Relation with Orographic Enhancement Over the Western United States. Earth and Space Science Open Archive ESSOAr.
• Arabzadeh, A., & Behrangi, A. (2021). Investigating Various Products of IMERG for Precipitation Retrieval Over Surfaces With and Without Snow and Ice Cover.
• Ayat, H., Evans, J. P., & Behrangi, A. (2021). How do different sensors impact IMERG precipitation estimates during hurricane days?. Remote Sensing of Environment, 259, 112417.
• Ayat, H., Evans, J. P., Sherwood, S., & Behrangi, A. (2021). Are storm characteristics the same when viewed using merged surface radars or a merged satellite product?. Journal of Hydrometeorology, 22(1), 43--62.
• Behrangi, A., Behrangi, A., Behrangi, A., Ehret, U., Ehret, U., Behrangi, A., Sans-Fuentes, M. A., Sans-Fuentes, M. A., Ehret, U., Roy, T., Roy, T., Ehret, U., Ehsani, R. M., Sans-Fuentes, M. A., Ehsani, R. M., Sans-Fuentes, M. A., Gupta, H. V., Gupta, H. V., Roy, T., , Roy, T., et al. (2021). Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. Entropy.
  More info

  Gupta HV, RM Ehsani, T Roy, MA Sans-Fuentes, U Ehret and A Behrangi (2021), Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples, Section on Information Theory, Probability and Statistics, Entropy, 23(6), 740, doi.org/10.3390/e23060740
• Behrangi, A., Ehret, U., Sans-Fuentes, M. A., Roy, T., Ehsani, R. M., & Gupta, H. V. (2021). Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. arXiv.
  More info

  Gupta HV, RM Ehsani, T Roy, MA Sans-Fuentes, U Ehret and A Behrangi (2021), Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples, posted (02/24/21) to Arxiv; http://arxiv.org/abs/2102.12675
• Dou, Y., Dou, Y., Ye, L., Ye, L., Gupta, H. V., Gupta, H. V., Zhang, H., Zhang, H., Behrangi, A., Behrangi, A., Zhou, H., & Zhou, H. (2021). Improved Flood Forecasting in Basins with No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products. Water Resources Research. doi:doi: 10.1029/2021WR029682
  More info

  Dou Y, L Ye, HV Gupta, H Zhang, A Behrangi, H Zhou (2021), Improved Flood Forecasting in Basins with No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products, submitted to Water Resources Research, doi: 10.1029/2021WR029682
• Dou, Y., Ye, L., Gupta, H. V., Zhang, H., Behrangi, A., & Zhou, H. (2021). Improved Flood Forecasting in Basins with No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products. Water Resources Research, e2021WR029682.
• Ehsani, M. R., & Behrangi, A. (2021). On the Importance of Gauge-Undercatch Correction Factors and Their Impacts on the Global Precipitation Estimates.
• Ehsani, M. R., Behrangi, A., Adhikari, A., Song, Y., Huffman, G. J., Adler, R. F., Bolvin, D. T., & Nelkin, E. J. (2021). 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.
• Ehsani, M. R., Zarei, A., Gupta, H. V., Barnard, K., & Behrangi, A. (2021). Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. arXiv preprint arXiv:2108.06868.
• Ghajarnia, N., Akbari, M., Saemian, P., Ehsani, M. R., Hosseini-Moghari, S., Azizian, A., Kalantari, Z., Behrangi, A., Tourian, M. J., Kl"ove, B., & others, . (2021). Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5.
• Gupta, H. V., Ehsani, M. R., Roy, T., Sans-Fuentes, M. A., Ehret, U., & Behrangi, A. (2021). Computing accurate probabilistic estimates of one-D entropy from equiprobable random samples. Entropy, 23(6), 740.
• Hilario, M., Crosbie, E., Shook, M., Reid, J. S., Cambaliza, M., Simpas, J., Ziemba, L., DiGangi, J. P., Diskin, G. S., Nguyen, P., & others, . (2021). Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP 2 Ex aircraft campaign: chemical composition, size distributions, and the impact of convection. Atmospheric Chemistry and Physics, 21(5), 3777--3802.
• Li, Z., Wen, Y., Schreier, M., Behrangi, A., Hong, Y., & Lambrigtsen, B. (2021). Advancing Satellite Precipitation Retrievals With Data Driven Approaches: Is Black Box Model Explainable?. Earth and Space Science, 8(2), e2020EA001423.
• Singh, A., Reager, J. T., & Behrangi, A. (2021). Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit. Hydrology and Earth System Sciences, 25(2), 511--526.
• Song, Y., Broxton, P., Ehsani, M. R., & Behrangi, A. (2021). Assessment of Snowfall Accumulation from Satellite and Reanalysis Products Using SNOTEL Observations in Alaska.
• Adhikari, A., Ehsani, M. R., Song, Y., & Behrangi, A. (2020). Comparative assessment of snowfall retrieval from Microwave Humidity Sounders using machine learning methods. Earth and Space Science, 7(11), e2020EA001357.
• Arabzadeh, A., Ehsani, M. R., Guan, B., Heflin, S., & Behrangi, A. (2020). Global Intercomparison of Atmospheric Rivers Precipitation in Remote Sensing and Reanalysis Products. Journal of Geophysical Research: Atmospheres, 125(21), e2020JD033021.
• Behrangi, A., & Song, Y. (2020). A new estimate for oceanic precipitation amount and distribution using complementary precipitation observations from space and comparison with GPCP. Environmental Research Letters, 15(12), 124042.
• Behrangi, A., Gardner, A. S., & Wiese, D. N. (2020). Comparative analysis of snowfall accumulation over Antarctica in light of ice discharge and gravity observations from space. Environmental Research Letters.
• Dadashazar, H., Crosbie, E., Majdi, M. S., Panahi, M., Moghaddam, M. A., Behrangi, A., Brunke, M., Zeng, X., Jonsson, H. H., & Sorooshian, A. (2020). Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements.. Atmospheric Chemistry & Physics, 20(8).
• Ehsani, M. R., Arevalo, J., Risanto, C. B., Javadian, M., Devine, C. J., Arabzadeh, A., Venegas-Qui~nones, H. L., Dell’Oro, A. P., & Behrangi, A. (2020). 2019--2020 Australia Fire and Its Relationship to Hydroclimatological and Vegetation Variabilities. Water, 12(11), 3067.
• Farahmand, A., Stavros, E. N., Reager, J. T., & Behrangi, A. (2020). Introducing Spatially Distributed Fire Danger from Earth Observations (FDEO) Using Satellite-Based Data in the Contiguous United States. Remote Sensing, 12(8), 1252.
• Farahmand, A., Stavros, E. N., Reager, J. T., Behrangi, A., Randerson, J. T., & Quayle, B. (2020). Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States.. Natural Hazards and Earth System Sciences, 20(4), 1097--1106.
• Gupta, H. V., Ehsani, R. M., Roy, T., Sans-Fuentes, M. A., Ehret, U., & Behrangi, A. (2020). Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. Entropy.
  More info

  HV Gupta, MR Ehsani, T Roy, MA Sans-Fuentes, U Ehret, A BehrangiEntropy 23 (6), 740
• Hilario, M., Crosbie, E., Shook, M., Reid, J. S., Cambaliza, M., Simpas, J., Ziemba, L., DiGangi, J. P., Diskin, G. S., Nguyen, P., & others, . (2020). Long-range transport patterns into the tropical northwest Pacific during the CAMP 2 Ex aircraft campaign: chemical composition, size distributions, and the impact of convection. Atmospheric Chemistry and Physics Discussions, 1--42.
• Javadian, M., Behrangi, A., Smith, W. K., & Fisher, J. B. (2020). Global Trends in Evapotranspiration Dominated by Increases across Large Cropland Regions. Remote Sensing, 12(7), 1221.
• Li, Z., Wen, Y., Schreier, M., Behrangi, A., Hong, Y., & Lambrigtsen, B. (2020). Advancing Satellite Precipitation Retrievals with Data Driven Approaches: Is black box model explainable?. Earth and Space Science, e2020EA001423.
• Lyu, F., Tang, G., Behrangi, A., Wang, T., Tan, X., Ma, Z., & Xiong, W. (2020). Precipitation Merging Based on the Triple Collocation Method Across Mainland China. IEEE Transactions on Geoscience and Remote Sensing.
• Song, Y., Behrangi, A., & Blanchard-Wrigglesworth, E. (2020). Assessment of Satellite and Reanalysis Cold Season Snowfall Estimates Over Arctic Sea Ice. Geophysical Research Letters, 47(16), e2020GL088970.
• Adler, R. F., Gu, G., Wang, J., Huffman, G. J., & Behrangi, A. (2019). Improved Observation of Global Precipitation During the Satellite Era. AGUFM, 2019, H21E--01.
• Alexander, L. V., Fowler, H. J., Bador, M., Behrangi, A., Donat, M. G., Dunn, R., Funk, C., Goldie, J., Lewis, E., Rog'e, M., & others, . (2019). On the use of indices to study extreme precipitation on sub-daily and daily timescales. Environmental Research Letters, 14(12), 125008.
• Barkhordarian, A., Saatchi, S. S., Behrangi, A., Loikith, P. C., & Mechoso, C. R. (2019). A recent systematic increase in vapor pressure deficit over tropical South America. Scientific reports, 9(1), 1--12.
• Behrangi, A., Singh, A., Song, Y., & Panahi, M. (2019). Assessing Gauge Undercatch Correction in Arctic Basins in Light of GRACE Observations. Geophysical Research Letters.
• Funk, C., Harrison, L., Alexander, L., Peterson, P., Behrangi, A., & Husak, G. (2019). Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions. Environmental Research Letters, 14(11), 115002.
• Golian, S., Javadian, M., & Behrangi, A. (2019). On the use of satellite, gauge, and reanalysis precipitation products for drought studies. Environmental Research Letters.
• Hu, J., Chen, S., Behrangi, A., & Yuan, H. (2019). Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion. Journal of Hydrology, 579, 124158.
• Javadian, M., Behrangi, A., & Sorooshian, A. (2019). Impact of drought on dust storms: case study over Southwest Iran. Environmental Research Letters, 14(12), 124029.
• Javadian, M., Behrangi, A., Gholizadeh, M., & Tajrishy, M. (2019). METRIC and WaPOR estimates of evapotranspiration over the Lake Urmia Basin: comparative analysis and composite assessment. Water, 11(8), 1647.
• Marcovecchio, A., Dong, X., Behrangi, A., & Xi, B. (2019). How Uncertainties in Precipitation Estimates are Mapped on to Our Understanding of the Relationship Between Arctic Precipitation and Arctic Sea Ice. AGUFM, 2019, C23D--1585.
• Panahi, M., & Behrangi, A. (2019). Comparative Analysis of Snowfall Accumulation and Gauge Undercatch Correction Factors from Diverse Data Sets: In Situ, Satellite, and Reanalysis. Asia-Pacific Journal of Atmospheric Sciences, 1--14.
• Singh, A., Reager, J. T., & Behrangi, A. (2019). Estimation of hydrological drought recovery based on GRACE water storage deficit. Hydrology and Earth System Sciences Discussions, 1--23.
• Wang, Y., Broxton, P., Fang, Y., Behrangi, A., Barlage, M., Zeng, X., & Niu, G. (2019). A Wet-Bulb Temperature-Based Rain-Snow Partitioning Scheme Improves Snowpack Prediction over the Drier Western US. Geophysical Research Letters.
• Aumann, H. H., Behrangi, A., & Wang, Y. (2018). Increased Frequency of Extreme Tropical Deep Convection: AIRS Observations and Climate Model Predictions. Geophysical Research Letters.
• Barkhordarian, A., Storch, H., Behrangi, A., Loikith, P. C., Mechoso, C. R., & Detzer, J. (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(12), 6262--6271.
• Behrangi, A., & Hsu, K. (2010). B. Imam, K. Hsu, S. Sorooshian, TJ Bellerby, and GJ Huffman, 2010: REFAME: Rain estimation using forwardadjusted advection of microwave estimates. J. Hydrometeorology, 11, 1305--1321.
• Behrangi, A., & Richardson, M. (2018). Observed High-Latitude Precipitation Amount and Pattern and CMIP5 Model Projections. Remote Sensing, 10(10), 1583.
• Behrangi, A., Bormann, K. J., & Painter, T. H. (2018). Using the Airborne Snow Observatory to assess remotely sensed snowfall products in the California Sierra Nevada. Water Resources Research, 54(10), 7331--7346.
• Behrangi, A., Bormann, K. J., & Painter, T. H. (2018). Using the Airborne Snow Observatory to assess remotely sensed snowfall products in the California Sierra Nevada. Water Resources Research.
• Behrangi, A., Gardner, A., Reager, J. T., Fisher, J. B., Yang, D., Huffman, G. J., & Adler, R. F. (2018). Using GRACE to Estitmate Snowfall Accumulation and Assess Gauge Undercatch Corrections in High Latitudes. Journal of Climate, 31(21), 8689--8704.
• Behrangi, A., Yin, X., Rajagopal, S., Stampoulis, D., & Ye, H. (2018). On distinguishing snowfall from rainfall using near-surface atmospheric information: comparative analysis, uncertainties, and hydrologic importance. Quarterly Journal of the Royal Meteorological Society.
• Rajasekaran, E., Das, N. N., Poulsen, C., Behrangi, A., Swigart, J., Svoboda, M., Entekhabi, D., Yueh, S., Doorn, B., & Entin, J. (2018). SMAP Soil Moisture Change as an Indicator of Drought Conditions. Remote Sensing, 10(5), 788.
• Singh, A., Behrangi, A., Fisher, J. B., & Reager, J. T. (2018). On the Desiccation of the South Aral Sea Observed from Spaceborne Missions. Remote Sensing, 10(5), 793.
• Tang, G., Behrangi, A., Long, D. i., Li, C., & Hong, Y. (2018). Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded precipitation products. Journal of Hydrology, 559, 294--306.
• Tang, G., Behrangi, A., Ma, Z., Long, D. i., & Hong, Y. (2018). Downscaling of ERA-Interim Temperature in the Contiguous United States and Its Implications for Rain--Snow Partitioning. Journal of Hydrometeorology, 19(7), 1215--1233.
• Tang, G., Long, D. i., Behrangi, A., Wang, C., & Hong, Y. (2018). Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data. Water Resources Research, 54(10), 8253--8278.
• Wong, S., & Behrangi, A. (2018). Regime-Dependent Differences in Surface Freshwater Exchange Estimates Over the Ocean. Geophysical Research Letters, 45(2), 955--963.
• Andreadis, K. M., Das, N., Stampoulis, D., Ines, A., Fisher, J. B., Granger, S., Kawata, J., Han, E., & Behrangi, A. (2017). The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation. PloS one, 12(5), e0176506.
• Behrangi, A., & Wen, Y. (2017). On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products. Remote Sensing, 9(11), 1127.
• Behrangi, A., Gardner, A. S., Reager, J. T., & Fisher, J. B. (2017). Using GRACE to constrain precipitation amount over cold mountainous basins. Geophysical Research Letters, 44(1), 219--227.
• Herold, N., Behrangi, A., & Alexander, L. V. (2017). Large uncertainties in observed daily precipitation extremes over land. Journal of Geophysical Research: Atmospheres, 122(2), 668--681.
• Wen, Y., Behrangi, A., Chen, H., & Lambrigtsen, B. (2017). How Well the Early 2017 California Atmospheric River Precipitation Events Were Captured by Satellite Products and Ground-based Radars?. Quarterly Journal of the Royal Meteorological Society.
• Wen, Y., Kirstetter, P., Gourley, J. J., Hong, Y., Behrangi, A., & Flamig, Z. (2017). Evaluation of MRMS Snowfall Products over the Western United States. Journal of Hydrometeorology, 18(6), 1707--1713.
• Yanovsky, I., Behrangi, A., Wen, Y., Schreier, M., Dang, V., & Lambrigtsen, B. (2017). Enhanced Resolution of Microwave Sounder Imagery through Fusion with Infrared Sensor Data. Remote Sensing, 9(11), 1097.
• Zhang, G., Yao, T., Shum, C. K., Yi, S., Yang, K., Xie, H., Feng, W., Bolch, T., Wang, L., Behrangi, A., & others, . (2017). Lake volume and groundwater storage variations in Tibetan Plateau's endorheic basin. Geophysical Research Letters, 44(11), 5550--5560.
• Alexander, L. V., Zhang, X., Hegerl, G., Seneviratne, S. I., Behrangi, A., Fischer, E., Martius, O., Otto, F., Sillmann, J., & Vautard, R. (2016). Implementation Plan for WCRP Grand Challenge on Understanding and Predicting Weather and Climate Extremes--the “Extremes Grand Challenge”. Version, June.
• Behrangi, A., Christensen, M., Richardson, M., Lebsock, M., Stephens, G., Huffman, G. J., Bolvin, D., Adler, R. F., Gardner, A., Lambrigtsen, B., & others, . (2016). Status of high-latitude precipitation estimates from observations and reanalyses. Journal of Geophysical Research: Atmospheres, 121(9), 4468--4486.
• Behrangi, A., Fetzer, E. J., & Granger, S. L. (2016). Early detection of drought onset using near surface temperature and humidity observed from space. International Journal of Remote Sensing, 37(16), 3911--3923.
• Behrangi, A., Guan, B., Neiman, P. J., Schreier, M., & Lambrigtsen, B. (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, 17(1), 369--382.
• Chen, S., Behrangi, A., Tian, Y., Hu, J., Hong, Y., Tang, Q., Hu, X., Stepanian, P. M., Hu, B., & Zhang, X. (2016). Precipitation spectra analysis over China with high-resolution measurements from optimally-merged satellite/gauge observations—Part II: Diurnal variability analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), 2979--2988.
• Chen, S., Hong, Y., Kulie, M., Behrangi, A., Stepanian, P. M., Cao, Q., You, Y., Zhang, J., Hu, J., & Zhang, X. (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.
• Christensen, M. W., Behrangi, A., L’ecuyer, T. S., Wood, N. B., Lebsock, M. D., & Stephens, G. L. (2016). Arctic observation and reanalysis integrated system: A new data product for validation and climate study. Bulletin of the American Meteorological Society, 97(6), 907--916.
• Guo, H., Chen, S., Bao, A., Behrangi, A., Hong, Y., Ndayisaba, F., Hu, J., & Stepanian, P. M. (2016). Early assessment of integrated multi-satellite retrievals for global precipitation measurement over China. Atmospheric Research, 176, 121--133.
• Stampoulis, D., Andreadis, K. M., Granger, S. L., Fisher, J. B., Turk, F. J., Behrangi, A., Ines, A. V., & Das, N. N. (2016). Assessing hydro-ecological vulnerability using microwave radiometric measurements from WindSat. Remote Sensing of Environment, 184, 58--72.
• Stephens, G. L., Hakuba, M. Z., Hawcroft, M., Haywood, J. M., Behrangi, A., Kay, J. E., & Webster, P. J. (2016). The curious nature of the hemispheric symmetry of the Earth’s water and energy balances. Current Climate Change Reports, 2(4), 135--147.
• Tapiador, F. J., Behrangi, A., Haddad, Z. S., Katsanos, D., & Castro, M. (2016). Disruptions in precipitation cycles: Attribution to anthropogenic forcing. Journal of Geophysical Research: Atmospheres, 121(5), 2161--2177.
• Thomas, B. F., Behrangi, A., & Famiglietti, J. S. (2016). Precipitation intensity effects on groundwater recharge in the southwestern United States. Water, 8(3), 90.
• Wen, Y., Behrangi, A., Lambrigtsen, B., & Kirstetter, P. (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(11), 904.
• Ye, H., Fetzer, E. J., Behrangi, A., Wong, S., Lambrigtsen, B. H., Wang, C. Y., Cohen, J., & Gamelin, B. L. (2016). Increasing daily precipitation intensity associated with warmer air temperatures over Northern Eurasia. Journal of Climate, 29(2), 623--636.
• Behrangi, A., Loikith, P. C., Fetzer, E. J., Nguyen, H. M., & Granger, S. L. (2015). Utilizing humidity and temperature data to advance monitoring and prediction of meteorological drought. Climate, 3(4), 999--1017.
• Behrangi, A., Nguyen, H., & Granger, S. (2015). Probabilistic seasonal prediction of meteorological drought using the bootstrap and multivariate information. Journal of Applied Meteorology and Climatology, 54(7), 1510--1522.
• Behrangi, A., Nguyen, H., Lambrigtsen, B., Schreier, M., & Dang, V. (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.
• Chen, S., Hu, J., Zhang, Z., Behrangi, A., Hong, Y., Gebregiorgis, A. S., Cao, J., Hu, B., Xue, X., & Zhang, X. (2015). Hydrologic evaluation of the TRMM multisatellite precipitation analysis over Ganjiang Basin in humid southeastern China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(9), 4568--4580.
• Chen, S., Zhang, J., Mullens, E., Hong, Y., Behrangi, A., Tian, Y., Hu, X., Hu, J., Zhang, Z., & Zhang, X. (2015). Mapping the precipitation type distribution over the contiguous United States using NOAA/NSSL national multi-sensor mosaic QPE. IEEE Transactions on Geoscience and Remote Sensing, 53(8), 4434--4443.
• Ye, H., Fetzer, E. J., Wong, S., Behrangi, A., Yang, D., & Lambrigtson, B. H. (2015). Increasing atmospheric water vapor and higher daily precipitation intensity over northern Eurasia. Geophysical Research Letters, 42(21), 9404--9410.
• Behrangi, A., Andreadis, K., Fisher, J. B., Turk, F. J., Granger, S., Painter, T., & Das, N. (2014). Satellite-based precipitation estimation and its application for streamflow prediction over mountainous western US basins. Journal of Applied Meteorology and Climatology, 53(12), 2823--2842.
• Behrangi, A., Stephens, G., Adler, R. F., Huffman, G. J., Lambrigtsen, B., & Lebsock, M. (2014). An update on the oceanic precipitation rate and its zonal distribution in light of advanced observations from space. Journal of Climate, 27(11), 3957--3965.
• Behrangi, A., Tian, Y., Lambrigtsen, B. H., & Stephens, G. L. (2014). What does CloudSat reveal about global land precipitation detection by other spaceborne sensors?. Water Resources Research, 50(6), 4893--4905.
• Behrangi, A., Wong, S., Mallick, K., & Fisher, J. B. (2014). On the net surface water exchange rate estimated from remote-sensing observation and reanalysis. International journal of remote sensing, 35(6), 2170--2185.
• Tian, Y., Liu, Y., Arsenault, K. R., & Behrangi, A. (2014). A new approach to satellite-based estimation of precipitation over snow cover. International Journal of Remote Sensing, 35(13), 4940--4951.
• Ye, H., Fetzer, E. J., Wong, S., Behrangi, A., Olsen, E. T., Cohen, J., Lambrigtsen, B. H., & Chen, L. (2014). Impact of increased water vapor on precipitation efficiency over northern Eurasia. Geophysical Research Letters, 41(8), 2941--2947.
• Mahrooghy, M., Anantharaj, V. G., Younan, N. H., Petersen, W. A., Hsu, K., Behrangi, A., & Aanstoos, J. (2013). Augmenting satellite precipitation estimation with lightning information. International journal of remote sensing, 34(16), 5796--5811.
• Smith, M., Koren, V., Zhang, Z., Moreda, F., Cui, Z., Cosgrove, B., Mizukami, N., Kitzmiller, D., Ding, F., Reed, S., & others, . (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., Hsu, K., Sorooshian, S., Gourley, J. J., Hong, Y., & Behrangi, A. (2013). Short-term quantitative precipitation forecasting using an object-based approach. Journal of hydrology, 483, 1--15.
• AghaKouchak, A., Mehran, A., Norouzi, H., & Behrangi, A. (2012). Systematic and random error components in satellite precipitation data sets. Geophysical Research Letters, 39(9).
• Aumann, H. H., Ruzmaikin, A., & Behrangi, A. (2012). On the surface temperature sensitivity of the reflected shortwave, outgoing longwave, and net incident radiation. Journal of Climate, 25(19), 6585--6593.
• Behrangi, A., Casey, S. P., & Lambrigtsen, B. H. (2012). Three-dimensional distribution of cloud types over the USA and surrounding areas observed by CloudSat. International journal of remote sensing, 33(16), 4856--4870.
• Behrangi, A., Kubar, T., & Lambrigtsen, B. (2012). Phenomenological description of tropical clouds using CloudSat cloud classification. Monthly Weather Review, 140(10), 3235--3249.
• Behrangi, A., Lebsock, M., Wong, S., & Lambrigtsen, B. (2012). On the quantification of oceanic rainfall using spaceborne sensors. Journal of Geophysical Research: Atmospheres, 117(D20).
• Behrangi, A., Sorooshian, S., & Hsu, K. (2012). Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation. Journal of hydrology, 456, 130--138.
• AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., & Amitai, E. (2011). Evaluation of satellite-retrieved extreme precipitation rates across the central United States. Journal of Geophysical Research: Atmospheres, 116(D2).
• Aumann, H. H., DeSouza-Machado, S. G., & Behrangi, A. (2011). Deep convective clouds at the tropopause. Atmospheric Chemistry and Physics, 11(3), 1167--1176.
• Behrangi, A., Khakbaz, B., Jaw, T. C., AghaKouchak, A., Hsu, K., & Sorooshian, S. (2011). Hydrologic evaluation of satellite precipitation products over a mid-size basin. Journal of Hydrology, 397(3-4), 225--237.
• Behrangi, A., Hsu, K., Imam, B., & Sorooshian, S. (2010). Daytime precipitation estimation using bispectral cloud classification system. Journal of Applied Meteorology and Climatology, 49(5), 1015--1031.
• Behrangi, A., Imam, B., Hsu, K., Sorooshian, S., Bellerby, T. J., & Huffman, G. J. (2010). REFAME: Rain estimation using forward-adjusted advection of microwave estimates. Journal of Hydrometeorology, 11(6), 1305--1321.
• Hong, Y., Krajewski, W. F., Gourley, J. J., Behrangi, A., Villarini, G., Skofronic, G., Jackson, A., Berne, P., Xie, E., Amitai, E., & others, . (2010). Outlook for high-resolution precipitation measurements for hydrologic applications. AGU Hydrology news letter.
• Behrangi, A., Hsu, K., Imam, B., Sorooshian, S., & Kuligowski, R. J. (2009). Evaluating the utility of multispectral information in delineating the areal extent of precipitation. Journal of Hydrometeorology, 10(3), 684--700.
• Behrangi, A., Hsu, K., Imam, B., Sorooshian, S., Huffman, G. J., & Kuligowski, R. J. (2009). PERSIANN-MSA: A precipitation estimation method from satellite-based multispectral analysis. Journal of Hydrometeorology, 10(6), 1414--1429.
• Behrangi, A., Khakbaz, B., Vrugt, J. A., Duan, Q., & Sorooshian, S. (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(12).

Proceedings Publications

• Huffman, G. J., Behrangi, A., Adler, R. F., Bolvin, D. T., Nelkin, E., Gu, G., & Ehsani, M. R. (2023). GPCP Version 3.2 Products and Results. In 20th Annual Meeting of the Asia Oceania Geosciences Society (AOGS).
• Savtchenko, A., Huffman, G., Behgrangi, A., & Adler, R. (2023). IMERG and GPCP Seasonality and Response to Climate and Weather Variability. In 103rd American Meteorological Society (AMS) Annual Meeting.
• Behrangi, A., Huffman, G. J., Adler, R. F., Ehsani, M. R., Bolvin, D., Nelkin, E., & Gu, G. (2022). The latest Global Precipitation Climatology Project Daily and Monthly products (Version 3.2): Early results and comparisons. In Fall Meeting 2022.
• Adler, R. F., Gu, G., Huffman, G. J., Behrangi, A., Bolvin, D. T., & Wang, J. (2021). Global Precipitation Means and Variations with the New Version of GPCP (Invited Presentation). In 101st American Meteorological Society Annual Meeting.
• Agnihotri, J., Niu, G., Behrangi, A., Tavakoly, A., & Geheran, M. (2021). Improving Predictive Understanding of the Impacts of Frozen Soil on Streamflow through Modeling and Data Analysis. In AGU Fall Meeting Abstracts, 2021.
• Agnihotri, J., Niu, G., Behrangi, A., Tavakoly, A., & Geheran, M. P. (2021). Improving Predictive Understanding of the Impacts of Frozen Soil on Streamflow through Modeling and Data Analysis. In AGU Fall Meeting 2021.
• Ayat, H., Evans, J., & Behrangi, A. (2021). The effect of different contributing sensors in IMERG-Final precipitation estimates. In EGU General Assembly Conference Abstracts.
• Behrangi, A., Huffman, G., Adler, R., Bolvin, D., Nelkin, E., & Gu, G. (2021). High Latitude Considerations in the Latest GPCP monthly and daily products. In AGU Fall Meeting Abstracts, 2021.
• Draper, C. S., Behrangi, A., Fox, A. M., & Yin, J. (2021). 35HYDRO Wed-Applications of Remotely Sensed Observations to Enhance Land Surface Modeling I. In 101st American Meteorological Society Annual Meeting.
• Heflin, S., Behrangi, A., & Ehsani, M. R. (2021). Evaluating the Diurnal Cycle of Precipitation Over Finland. In AGU Fall Meeting 2021.
• Huffman, G. J., Behrangi, A., Adler, R. F., Bolvin, D. T., Nelkin, E. J., Song, Y., & Wang, J. (2021). The Global Precipitation Climatology Project Version 3 Products. In EGU General Assembly Conference Abstracts.
• Javadian, M., Lee, K., Smith, W., Behrangi, A., Knowles, J., Scott, R., Fisher, J., Moore, D., & Leeuwen, W. (2021). Diurnal Vegetation Water Stress Over a Semiarid Mixed Conifer Forest. In AGU Fall Meeting Abstracts, 2021.
• Javadian, M., San, L. K., Smith, W. K., Behrangi, A., Knowles, J. F., Scott, R. L., Fisher, J. B., Moore, D. J., & Leeuwen, W. (2021). Diurnal Vegetation Water Stress Over a Semiarid Mixed Conifer Forest. In AGU Fall Meeting 2021.
• Lau, A., & Behrangi, A. (2021). Assessment of Satellite Datasets for Rainfall Predictions based on Canonical Correlations. In AGU Fall Meeting 2021.
• Lau, A., & Behrangi, A. (2021). Assessment of Satellite Datasets for Rainfall Predictions based on Canonical Correlations. In AGU Fall Meeting Abstracts, 2021.
• Li, Z., Wen, Y., Schreier, M., Behrangi, A., Hong, Y., & Lambrigtsen, B. (2021). Explainable AI models for precipitation retrievals: a case study based on atmospheric sounding systems. In AGU Fall Meeting Abstracts, 2021.
• Marcovecchio, A., Xi, B., Zheng, X., Zhang, X., Dong, X., & Behrangi, A. (2021). Similarities and Differences of Marine Boundary Layer Cloud and Drizzle Properties Measured Over Two Hemispheres. In AGU Fall Meeting Abstracts, 2021.
• Nelkin, E., Huffman, G. J., Bolvin, D. T., Behrangi, A., & Adler, R. F. (2021). Introducing the GPCP Version 3.1 Daily Precipitation Dataset. In AGU Fall Meeting 2021.
• Adhikari, A., Ehsani, M. R., & Behrangi, A. (2020). Snowfall Retrieval from Satellite-based Microwave Humidity Sounders using Machine Learning Methods. In AGU Fall Meeting 2020.
• Arabzadeh, A., Ehsani, M. R., Guan, B., Heflin, S., & Behrangi, A. (2020). Global Analysis of Atmospheric Rivers Precipitation using Remote Sensing and Reanalysis Products. In AGU Fall Meeting 2020.
• Ehsani, M. R., Adhikari, A., Song, Y., & Behrangi, A. (2020). On the Potential of the Advance Very High-Resolution Radiometer for Precipitation Retrieval in High Latitudes Using Machine Learning. In AGU Fall Meeting 2020.
• Javadian, M., Behrangi, A., Smith, W. K., & Fisher, J. (2020). Global Trends in Evapotranspiration Dominated by Increases Across Cropland Regions: Insights Into Sustainability in Food Production. In AGU Fall Meeting 2020.
• Marcovecchio, A., Behrangi, A., Dong, X., Xi, B., & Huang, Y. (2020). Melt Season Precipitation Influence on and Response to Early and Late Arctic Sea Ice Melt Onset. In AGU Fall Meeting 2020.
• Song, Y., & Behrangi, A. (2020). Consistency of Global SWE and Precipitation Variations using Satellite, In-Situ and Reanalysis Products. In AGU Fall Meeting 2020.
• Wang, Y., Gupta, H. V., Broxton, P. D., Fang, Y., Behrangi, A., Zeng, X., & Niu, G. (2020). Developing the Snow Cover Fraction Schemes for land surface model using Machine Learning Approach. In 100th American Meteorological Society Annual Meeting.
• Behrangi, A. (2019). Observation of precipitation extremes: opportunities, challenges, and flood prediction. In AGU Fall Meeting 2019.
• Behrangi, A., Song, Y., Huffman, G. J., Adler, R. F., Yang, D., Bolvin, D. T., & Nelkin, E. (2019). Improvement of the Global Precipitation Climatology Project in High Latitudes Using the Latest Satellite and Surface Observations. In AGU Fall Meeting 2019.
• Dadashazar, H., Crosbie, E., Majdi, M. S., Panahi, M., Moghaddam, M. A., Behrangi, A., Brunke, M., Zeng, X., Jonsson, H., Flagan, R. C., & others, . (2019). Stratocumulus Cloud Clearings: Statistics from Satellites, Reanalysis Models, and Airborne Measurements. In AGU Fall Meeting 2019.
• Farahmand, A., Behrangi, A., & AghaKouchak, A. (2019). Coupling Irrigation Demand With Drought Conditions. In AGU Fall Meeting 2019.
• Hobbs, J., Braverman, A. J., Behrangi, A., Fetzer, E. J., Foster, K., Lee, H., McDuffie, J., Nguyen, H., Shen, M., & Teixeira, J. (2019). Lessons Learned in Simulation-Based Uncertainty Quantification for Satellite Retrievals. In AGU Fall Meeting 2019.
• Javadian, M., Behrangi, A., & Sorooshian, A. (2019). Drought Effect on Dust Storm Severity and Predictability. In AGU Fall Meeting 2019.
• Kucera, P. A., Behrangi, A., & Habib, E. H. (2019). Using Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications II Posters. In AGU Fall Meeting 2019.
• Panahi, M., & Behrangi, A. (2019). Using Diverse Data Sets to Assess Satellite-Based Snowfall Accumulation and Gauge Undercatch Correction Factors. In AGU Fall Meeting 2019.
• Song, Y., Behrangi, A., & Blanchard-Wrigglesworth, E. (2019). Assessment of Satellite and Reanalysis Precipitation Products over Arctic Sea Ice. In AGU Fall Meeting 2019.
• Wang, Y., Fang, Y., Broxton, P. D., Behrangi, A., Zeng, X., Gupta, H. V., & Niu, G. (2019). Developing a New Snow Cover Fraction Scheme for Hydrological Predictions. In AGU Fall Meeting 2019.
• Behrangi, A., Huffman, G. J., & Adler, R. (2018, December). Constraining precipitation amount over cold regions. In AGU Fall Meeting Abstracts.
• Behrangi, A., Singh, A., & Reager, J. (2018, December). Probabilistic drought recovery analysis using GRACE and precipitation data. In AGU Fall Meeting Abstracts.
• Farahmand, A., Reager, J., Stavros, N., & Behrangi, A. (2018, December). Introducing a Gridded Wildfire Risk Model in the United States for Allocation of Fire Management Resources Using NASA Satellite Observations. In AGU Fall Meeting Abstracts.
• Hobbs, J., Behrangi, A., Braverman, A., & Fetzer, E. (2018, December). Simulation-Based Uncertainty Quantification for Atmospheric Remote Sensing Retrievals. In AGU Fall Meeting Abstracts.
• Song, Y., & Behrangi, A. (2018, December). Baseline Precipitation Climatology in Support of GPCP. In AGU Fall Meeting Abstracts.
• Tang, G., Behrangi, A., Long, D., Li, C., & Hong, Y. (2018, December). Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded satellite precipitation products. In AGU Fall Meeting Abstracts.
• Yanovsky, I., Wen, Y., Behrangi, A., Schreier, M., & Lambrigtsen, B. (2018). Validating Enhanced Resolution of Microwave Sounder Imagery Through Fusion with Infrared Sensors| Data. In 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad).
• Aumann, H. H., Behrangi, A., & Ruzmaikin, A. (2017). Frequency of Tropical Ocean Deep Convection and Global Warming. In AGU Fall Meeting Abstracts.
• Barkhordarian, A., Behrangi, A., & Mechoso, C. R. (2017, December). Detection of non-natural springtime precipitation change over northern South America. In AGU Fall Meeting Abstracts.
• Farahmand, A., Reager, J. T., Behrangi, A., Stavros, E. N., & Randerson, J. T. (2017). Using NASA Satellite Observations to Map Wildfire Risk in the United States for Allocation of Fire Management Resources. In AGU Fall Meeting Abstracts.
• Ray, S. E., Fetzer, E. J., Lambrigtsen, B., Olsen, E. T., Licata, S. J., Hall JR, ., Penteado, P. F., Realmuto, V. J., Thrastarson, H. T., Teixeira, J., & others, . (2017). Atmospheric Infrared Sounder on NASA's Aqua Satellite: Applications for Volcano Rapid Response, Influenza Outbreak Prediction, and Drought Onset Prediction. In AGU Fall Meeting Abstracts.
• Yanovsky, I., Behrangi, A., Schreier, M., Dang, V., Wen, B., & Lambrigtsen, B. (2017). Fusion of microwave and infrared data for enhancing its spatial resolution. In Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International.
• Behrangi, A., Richardson, M., Stephens, G. L., Huffman, G. J., Adler, R. F., & Fetzer, E. J. (2016). Using new observations to improve high latitude and high altitude precipitation estimates in support of water and energy budget calculations and prediction of future changes. In AGU Fall Meeting Abstracts.
• Kubar, T. L., & Behrangi, A. (2016). Ocean-Atmosphere Coupling in SST Hot Spot Regimes as a Function of ENSO: Local SST and Deep Convection Relationships, Larger-Scale Interactions With and Modulations on El Nino, and Remote Tropical and Extratropical Connections Using Multi-Satellite Observations and ERA-Interim Reanalysis. In AGU Fall Meeting Abstracts.
• Stavros, E. N., Abatzoglou, J. T., Rao, P., Behrangi, A., Miller, C. E., & Schimel, D. (2016). Observing fire danger globally: applying a VPD indicator globally independent of region specific fire danger models. In AGU Fall Meeting Abstracts.
• Wen, Y. B., Behrangi, A., Lambrigtsen, B., & Kirstetter, P. E. (2016). Evaluation and Uncertainty Estimation of Radar and Satellite Precipitation Products over Western United States. In AGU Fall Meeting Abstracts.
• Behrangi, A., Richardson, M., Christensen, M., Huffman, G. J., Adler, R. F., Stephens, G. L., & Lambrigtsen, B. (2015). Status of High Latitude Precipitation Estimates: The Role of GPM in Advancing our Current Understanding. In AGU Fall Meeting Abstracts.
• Granger, S. L., & Behrangi, A. (2015). A Simple Drought Product and Indicator Derived from Temperature and Relative Humidity Observed by the Atmospheric InfraRed Sounder (AIRS). In AGU Fall Meeting Abstracts.
• Kubar, T. L., & Behrangi, A. (2015). The Coupling of Convection, Large-Scale Atmospheric Dynamics, Surface Radiation, and Sea-Surface Temperature Hot Spots as Characterized by MODIS, TRMM, CERES, and ECMWF-Interim Reanalysis Data. In AGU Fall Meeting Abstracts.
• Lambrigtsen, B., Brown, S. T., Schreier, M. M., Dang, H., & Behrangi, A. (2015). Atmospheric River Observations with the HAMSR Aircraft Microwave Sounder. In AGU Fall Meeting Abstracts.
• Stampoulis, D., Andreadis, K., Granger, S. L., Fisher, J. B., Turk, F. J., Behrangi, A., Das, N. N., & Ines, A. (2015). Assessing Hydro-Ecological Vulnerability from Space. In AGU Fall Meeting Abstracts.
• Wen, Y., Kirstetter, P., Gourley, J. J., Hong, Y., & Behrangi, A. (2015). Evaluation of Ground Radar Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States. In AGU Fall Meeting Abstracts.
• Behrangi, A., Andreadis, K., Fisher, J. B., Turk, F. J., Painter, T. H., Granger, S. L., Das, N. N., & Stephens, G. L. (2014). Hydrologic Assessment of Remotely Sensed High Resolution Precipitation Products over Cold-Mountainous Regions, and Analysis of the GPM Impact. In AGU Fall Meeting Abstracts.
• Chen, S., Hong, Y., Behrangi, A., Qi, Y., & Hu, J. (2014). Performance and Uncertainty Analysis of Precipitation Retrievals Derived from Dual-frequency Precipitation Radar and Microwave Imager onboard GPM over CONUS. In AGU Fall Meeting Abstracts.
• Famiglietti, J. S., Thomas, B. F., Reager, J. T., Castle, S. L., David, C. H., Thomas, A. C., Andreadis, K., Argus, D. F., Behrangi, A., Farr, T., & others, . (2014). Satellite Observations of the Epic California Drought. In AGU Fall Meeting Abstracts.
• Manning, E. M., Aumann, H. H., & Behrangi, A. (2014). AIRS Level-1C and applications to cross-calibration with MODIS and CrIS. In Earth Observing Systems XIX, 9218.
• Stampoulis, D., Andreadis, K., Granger, S. L., Fisher, J. B., Behrangi, A., Das, N. N., & Turk, J. (2014). Quantifying the resilience of vegetation and soil moisture during dry spells using satellite remote sensing. In AGU Fall Meeting Abstracts.
• Turk, F. J., Behrangi, A., & Tian, Y. (2014). Precipitation Data from Space for Hydrology: TRMM Era to GPM. In AGU Fall Meeting Abstracts.
• Ye, H., Fetzer, E. J., Behrangi, A., Wong, S., Lambrigtsen, B., Wnag, C. Y., Cohen, J. L., & Gamelin, B. (2014). Increasing precipitation intensity under a warming climate over Northern Eurasia. In AGU Fall Meeting Abstracts.
• Andreadis, K., Behrangi, A., Das, N. N., Fisher, J. B., Granger, S. L., Landerer, F. W., Painter, T. H., & Turk, F. J. (2013). Assimilating remote sensing observations across the terrestrial water cycle in a drought forecasting system. In AGU Fall Meeting Abstracts.
• Aumann, H. H., Manning, E. M., & Behrangi, A. (2013). Detection of Extremes with AIRS and CRIS. In Earth Observing Systems XVIII, 8866.
• Behrangi, A., & Aumann, H. H. (2013). Intercalibration and concatenation of climate quality infrared cloudy radiances from multiple instruments. In Earth Observing Systems XVIII, 8866.
• Behrangi, A., Stephens, G. L., Adler, R. F., Huffman, G. J., Lambrigtsen, B., & Lebsock, M. D. (2013). Complementary information from TRMM and CloudSat to improve our global estimate of precipitation. In AGU Fall Meeting Abstracts.
• Bhawar, R., Reddy, R., Behrangi, A., & Shinde, M. (2013). Cloud types and its radiative forcing during summer monsoon season over South-East Asia. In EGU General Assembly Conference Abstracts, 15.
• Lambrigtsen, B., Brown, S. E., Behrangi, A., & Dang, H. T. (2013). Hurricane Observations with HAMSR in the GRIP and HS3 Field Campaigns. In AGU Fall Meeting Abstracts.
• Tian, Y., Liu, Y., Arsenault, K. R., & Behrangi, A. (2013). A New Approach to Measuring Precipitation over Snow Cover. In AGU Fall Meeting Abstracts.
• Ye, H., Fetzer, E. J., Wong, S., Behrangi, A., Olsen, E. T., Lambrigtsen, B., & Cohen, J. L. (2013). Relationships Among Precipitation, Precipitable Water, and Surface Air Temperature over Northern Eurasia. In AGU Fall Meeting Abstracts.
• Aumann, H. H., Ruzmaikin, A., & Behrangi, A. (2012). Net Incident Radiation and Cloud Feedback from 10 Years of Airs Data. In AGU Fall Meeting Abstracts.
• Behrangi, A., Lebsock, M. D., Wong, S., & Lambrigtsen, B. (2012). The status of over ocean rainfall measurements from current space borne sensors. In AGU Fall Meeting Abstracts.
• Behrangi, A., Kubar, T. L., & Lambrigtsen, B. (2011). Characteristics of tropical clouds using A-train information and their relationships with sea surface temperature. In AGU Fall Meeting Abstracts.
• Fishbein, E., Behrangi, A., Fetzer, E., Kahn, B. H., Schreier, M. M., Teixeira, J., & Yue, Q. (2011). The Unique Capabilities of the Aqua Sensors to Characterize the Planetary Boundary Layer. In AGU Fall Meeting Abstracts.
• Lambrigtsen, B., Brown, S., & Behrangi, A. (2011). Observing Tropical Cyclones from the Global Hawk: HAMSR Results from GRIP. In AGU Fall Meeting Abstracts.
• Wong, S., Behrangi, A., Lambrigtsen, B., & Fetzer, E. (2011). Quantification of Global Sea Surface Water Exchange in the TRMM-era and the Importance of A-Train Observation of Light Rainfall. In AGU Fall Meeting Abstracts.
• Zahraei, A., Hsu, K., Sorooshian, S., & Behrangi, A. (2011). Advection-based Short-Term Quantitative Precipitation Forecasting Algorithms Using Radar and Satellite Information. In AGU Fall Meeting Abstracts.
• Aghakouchak, A., Hsu, K., Behrangi, A., & Sorooshian, S. (2010). Error Decomposition in Satellite-Derived Precipitation Estimates. In AGU Fall Meeting Abstracts.
• Aumann, H. H., Desouza-Machado, S. G., & Behrangi, A. (2010). High resolution diagnosis and monitoring of extreme precipitation events using multi-sensor multi-platform remotely sensed data. In AGU Fall Meeting Abstracts.
• Behrangi, A., Irvine, C. A., Hsu, K., Imam, B., & Sorooshian, S. (2010). Forward morphing of passive microwave derived precipitation field with adjusted intensity from GOES information. In 6th Annual Symposium on Future National Operational Environmental Satellite Systems-NPOESS and GOES-R.
• Behrangi, A., Sorooshian, S., Hsu, K., Bellerby, T. J., Huffman, G. J., & Lambrigtsen, B. (2010). Preparation for GPM: Development of a New Near Real-time High Resolution Multi-sensor Precipitation Estimation Product Based on Analyzing the Existing Precipitation Estimation Techniques. In AGU Fall Meeting Abstracts.
• Behrangi, A., Khakbaz, B., Jaw, T. C., Imam, B., Hsu, K., & Sorooshian, S. (2009). Evaluation of Satellite-Based High Resolution Precipitation Products for Catchment Hydrologic Forecasting. In AGU Fall Meeting Abstracts.
• Behrangi, A., Hsu, K., Sorooshian, S., & Kuligowski, R. J. (2008, January). Multi-spectral precipitation estimation using Artificial Neural Networks. In AMS; 5th GOES Users' Conference.
• Imam, B., Kuranjekar, P., Behrangi, A., Hsu, K., & Sorooshian, S. (2008). The Value of Real-time High Resolution Satellite Precipitation in Capturing Extreme Rainfall Event. In AGU Spring Meeting Abstracts.
• Khakbaz, B., Behrangi, A., Hsu, K., Imam, B., & Sorooshian, S. (2008). Distributed hydrologic modeling in the western US using SNOW17 and SAC-SMA. In AGU Spring Meeting Abstracts.
• Behrangi, A., Hsu, K., Sorooshian, S., & Kuligowski, B. (2007). Delineation of Aerial Extent of Precipitation Using Multi-Spectral Remotely Sensed Data. In AGU Fall Meeting Abstracts.
• Sorooshian, S., Behrangi, A., Khakbaz, B., Vrugt, J. A., & Duan, Q. (2007). Global optimization with a limited budget of function evaluations. In AGU Fall Meeting Abstracts.

Presentations

• Behrangi, A., Huffman, G. J., & Adler, R. F. (2023). Precipitation convergence among products: Insights from the latest GPM and GPCP products. AGU23.
• Farahmand, A., Zeraati, M., & Behrangi, A. (2023). Developing a Multivariate Agro-Meteorological Index to Improve Capturing the Onset and Persistence of Droughts. AGU23.
• Niu, G., Fang, Y., Neto, A., Guo, B. o., Farmani, M., & Behrangi, A. (2023). Representing Preferential Flow through Variably Saturated Soils with Surface Ponding in Noah-MP. AGU23.
• Sorooshian, A., Ajayi, T., Arellano, A. F., Behrangi, A., Bonine, K. E., Bugaj, A., Castro, C. L., Dong, X., Ogden, G., Sullivan, S., & others, . (2023). EXCITE: Expanding Reach of NASA Earth Sciences Research At a Hispanic Serving Institution In Southern Arizona. AGU23.
• Ehsani, M. R., Zarei, A., Gupta, H. V., & Behrangi, A. (2022).

  NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks

  . 2022 Fall Meeting of the American Geophysical Union, Dec 12-16.. Fall Meeting of the American Geophysical Union, San Francisco CA.
  More info

  Ehsani MR, A Zarei, H Gupta and A Behrangi (2022), NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks, Session H115: Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications, 2022 Fall Meeting of the American Geophysical Union, Dec 12-16.
• Behrangi, A. (2020, 10). INVITED TALK: Cold region precipitation estimation: challenges, progress, and opportunities,. Civil Seminar, Western University,. London, Ontario, Canada,.
• Gupta, H. V., Wang, Y. H., Broxton, P. D., Fang, Y., Behrangi, A., Zeng, X., & Niu, G. (2020, Fall). Toward Improving Snowpack Prediction and Snow Cover Fraction Parameterization in Land Surface Models. 2020 Fall Meeting of the American Geophysical Union, Online, Dec 7-11. Online: American Geophysical Union.
  More info

  H Gupta, YH Wang , PD Broxton, Y Fang, A Behrangi, X Zeng and GY Niu (2020), Toward Improving Snowpack Prediction and Snow Cover Fraction Parameterization in Land Surface Models, Session C029: Quantifying Spatial and Temporal Variability of Snow and Snow Processes, presented at 2020 Fall Meeting of the American Geophysical Union, Online, Dec 1-17.
• Niu, G., Fang, Y., Zeng, X., Behrangi, A., Broxton, P. D., Gupta, H. V., & Wang, Y. H. (2020, Spring). Developing the Snow Cover Fraction Schemes using Machine Learning Approach for Hydrological Predictions. 2020 Meeting of the American Meteorological Society, Phoenix Arizona, Jan 12-16.. Boston, MA: AMS.
  More info

  Wang YH, HV Gupta, PD Broxton, A Behrangi, X Zeng, Y Fang, Guo-Yue Niu (2020), Developing the Snow Cover Fraction Schemes using Machine Learning Approach for Hydrological Predictions, Session on Applications of Machine Learning in Earth System Modeling, presented at 2020 Annual Meeting of the American Meteorological Society, Boston MA, Jan 12–16.
• Wang, Y. H., Gupta, H. V., Broxton, P. D., Fang, Y., Behrangi, A., Zeng, X., & Niu, G. (2020, Spring). Toward Improving Snowpack Prediction and its Parameterization in Land Surface Models. El Dia Del Agua y Atmosphera, Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, April. Tucson AZ: Department of Hydrology and Atmospheric Sciences, The University of Arizona.
  More info

  YH Wang, HV Gupta, P Broxton, Y Fang, A Behrangi, X Zeng, GYue Niu (2020), Toward Improving Snowpack Prediction and its Parameterization in Land Surface Models, presented at El Dia Del Agua y Atmosphera, Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, April
• Behrangi, A. (2019, December). INVITED talk : Observation of precipitation extremes: opportunities, challenges, and flood prediction. AGU FALL 2019. San Francisco.
• Niu, G., Gupta, H. V., Zeng, X., Behrangi, A., Broxton, P. D., Fang, Y., & Wang, Y. H. (2019, Fall). Developing a New Snow Cover Fraction Scheme for Hydrological Predictions. 2019 Fall Meeting of the American Geophysical Union. San Francisco, CA: AGU.
  More info

  Wang YH, Y Fang, PD Broxton, A Behrangi, X Zeng, HV Gupta, Guo-Yue Niu (2019), Developing a New Snow Cover Fraction Scheme for Hydrological Predictions, Session H025 - Applications in Snow Hydrology: Linking Seasonal Snow to Natural Processes and Society, presented at 2019 Fall Meeting of the American Geophysical Union, San Francisco CA, Dec 9-13.
• Wang, Y. H., Gupta, H. V., Broxton, P. D., Behrangi, A., Zeng, X., Fang, Y., & Niu, G. (2019, Fall). Investigation of Constructing a Snow Cover Fraction Scheme for Land Surface Model. 2019 Annual Meeting of the Arizona Hydrological Society, Casino del Sol, Tucson AZ, Sept 25–27. Tucson AZ: AHS.
  More info

  Wang YH, HV Gupta, PD Broxton, A Behrangi, X Zeng, Y Fang, Guo-Yue Niu (2019), Investigation of Constructing a Snow Cover Fraction Scheme for Land Surface Model, presented at 2019 Annual Meeting of the Arizona Hydrological Society, Casino del Sol, Tucson AZ, Sept 25–27.
• Behrangi, A. (2014, December). Hydrologic application and assessment of remotely sensed high-resolution precipitation products over cold-mountainous regions. International precipitation working group (IPWG).
• Behrangi, A. (2019, January). INVITED TALK: Precipitation estimation from space: progress, challenges, and reaching out to diverse data sets and science communities. Univ. of Arizona, Department of Geosciences.
• Behrangi, A. (2017, February). INVITED: Remote sensing of precipitation for weather and climate extreme analysis. an invitation-only workshop convened by WMO Secretariat for Operational Space-based Weather and Climate Extremes Monitoring, Feb. 15-17 2017, Geneva, Switzerland..
• Behrangi, A. (2017, June). INVITED: Monitoring and Predicting Natural Disasters from Space. National Academy of Sciences, Kavli Frontiers of Science, Irvine, CA, June 26-28 2017.
• Behrangi, A., Reager, J. T., Gardner, A. S., & Fisher, J. (2017, December). Constraining precipitation amount and distribution over cold regions using GRACE. AGU Fall Meeting Abstracts.
• Singh, A., Behrangi, A., Fisher, J., Reager, J. T., & Gardner, A. S. (2017, December). Utilizing a suite of satellite missions to address poorly constrained hydrological fluxes. AGU Fall Meeting Abstracts.
• Behrangi, A. (2016, June). INVITED: Remote sensing of precipitation and GEWEX ground challenges. GEWEX Hydrological Sensitivity Workshop, Exeter, UK, June 2016.
• Behrangi, A. (2016, June). INVITED: WCRP weather and climate extreme panel report: Document. the 13th international meeting on statistical climatology, Canmore, Alberta, Canada, June 2016.
• Behrangi, A. (2016, May). INVITED: using remote sensing of temperature and humidity profile for early detection of drought and its intensity. National Drought Mitigation Center, Nebraska, Lincoln, May 19, 2016.
• Behrangi, A. (2016, Septemebr). INVITED: Progress, challenges, and opportunities in remote sensing of precipitation extremes and hydrology. Invitation-only workshop on Sub-daily rainfall extremes: data, processes and modelling, Newcastle upon, September 13-15, 2016..
• Behrangi, A. (2015, April). INVITED: Probabilistic Seasonal Prediction of Meteorological Drought Using long term precipitation and temperature. Western Water States Council, San Diego, CA, April 2015..
• Behrangi, A. (2015, February). INVITED: Precipitation Extremes. workshop on “Data requirements to address the WCRP Grand Challenge on Weather and Climate Extremes, WCRP/GEWEX/Extreme Panel, University of New South Wales, Sydney, Australia, Sydney, Feb. 2015..
• Behrangi, A. (2015, July). INVITED: Precipitation extreme indices from space. The Expert Team on Climate Change Detection and Indices (ETCCDI) Work Plan Review, UNESCO, Paris, France, July 6-8 2015..
• Behrangi, A. (2012, May). INVITED: High Resolution Precipitation Estimation in Hydroclimatic Studies. University of Texas at San Antonio, San Antonio, TX, 2012..
• Behrangi, A. (2014, May). INVITED: Remote Sensing of Water Cycle and Hydroclimatic Analysis. University of California, Riverside, 2014..
• Behrangi, A. (2012, April). INVITED : Multi-sensor Multi-platform High Resolution Precipitation Estimation for Hydrologic Applications. Idaho State University, Pocatello, ID, 2011..
• Behrangi, A. (2012, March). INVITED: Remote Sensing of Precipitation for Hydrologic Applications. Oregon State University, Corvallis, OR, 2012..
• Lambrigtsen, B., Behrangi, A., Brown, S., Denning, R., Lim, B., Tanabe, J., & Tanner, A. (2011, 2014). Microwave sounder observations during GRIP: preliminary results. 65th Interdepartmental Hurricane Conference Ocean and.
• Behrangi, A. (2010, August). INVITED: Evaluating the Utility of Multi-Spectral Information for Delineating the Areal Extent and Intensity of Precipitation. NASA GSFC LIS Science Seminar (invited talk, Hydrospheric and Biospheric Sciences Laboratory Branch), NASA Goddard Space Flight Center, Greenbelt, Maryland, August 6, 2008..
• Behrangi, A. (2010, January). INVITED: Status of Global High Resolution Precipitation Estimation from Remotely Sensed Information. Environmental Engineering Seminar Series, UC Irvine, Jan 7, 2010..
• Behrangi, A. (2010, March). INVITED: Multi-spectral Algorithms. Advanced Concept Workshop on Remote Sensing of Precipitation at Multiple Scales, Beckman Center, Irvine, CA, March 15-17, 2010.

Others

• Huffman, G. J., Adler, R. F., Behrangi, A., Bolvin, D. T., Nelkin, E. J., & Ehsani, M. R. (2023). Algorithm Theoretical Basis Document (ATBD) for Global Precipitation Climatology Project Version 3.2 Daily Precipitation Data.
• Behrangi, A., Huffman, G. J., Adler, R. F., Ehsani, M. R., Bolvin, D. T., Nelkin, E. L., & Gu, G. (2022). The Latest GPCP products (V3. 2) and high latitudes analysis.
• Lambrigtsen, B., Behrangi, A., Brown, S., & Hristova-Veleva, S. (2013, December). An RI Case Study: Hurricane Karl (2010). JPL Technical Reports Server.
• Behrangi, A. (2009, December). Improved global high resolution precipitation estimation using multi-satellite multi-spectral information.