Ali Behrangi
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Professor of Hydrology and Atmospheric Sciences
Short Biography
I joined the Department of Hydrology and Atmospheric Sciences at the University of Arizona as an associate professor in January 2018. My doctoral work at the University of California, Irvine was on developing high-resolution precipitation products using satellite images and my postdoctoral work at California Institute of Technology (Caltech) and Jet Propulsion Laboratory (JPL) was on analysis of cloud and precipitation products from multiple sensors. As a NASA JPL scientist (2012-2018) I was involved in several projects (as principal investigator or co-investigator) on various topics including precipitation retrieval, pathfinder for microwave sounding instrument, tropical cloud and precipitation, water and energy budget studies, GRACE based water storage anomaly, hydrologic modeling, extreme weather and climate studies, mission concept and proposal development, and using diverse data sets across multiple disciplines to quantify precipitation amount and distribution over cold regions. I co-led efforts for extending the application of the Atmospheric Infrared Sensor data to drought monitoring in support of the U.S. drought monitor. Current research within my group at the University of Arizona follows my previous interests and, given the recent project grants, will also include advancing the global precipitation climatology project in high latitudes using diverse data sets. I also contribute to the efforts in support of the Earth Dynamics Observatory goals at the University of Arizona, the international precipitation working group (IPWG), and WCRP/GEWEX weather and climate extreme grand challenges.
Degrees
- Ph.D. Civil Engineering/Remote Sensing/ Hydrometeorology
- University of California Irvine (UCI), California, United States
- M.S. Civil Engineering/Hydrology/Water resources
- Sharif University of Technology (SUT)
- B.S. Civil Engineering
- Sharif University of Technology (SUT)
Work Experience
- University of Arizona, Dept of Hydrology and Atmospheric Sciences ( also Joint appointment with Dept. of Civil Engineering-Engineering Mechanics) (2018 - Ongoing)
- University of California, Los Angeles (UCLA), Joint Institute for Regional Earth System Science and Engineering (2015 - 2017)
- NASA Jet Propulsion Laboratory, California Institute of Technology (2012 - 2018)
- California Institute of Technology (Caltech)/JPL (2010 - 2012)
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
Earth: Our Watery Home
HWRS 170A1 (Spring 2023)
HWRS 170A1 (Spring 2021)
HWRS 170A1 (Spring 2019)
Directed Rsrch In Hwrs
HWRS 392A (Spring 2020)
Intro Atmo & Hydro Rem Sensing
ATMO 455 (Fall 2021)
ATMO 455 (Fall 2020)
ATMO 455 (Fall 2019)
ATMO 455 (Fall 2018)
ATMO 555 (Fall 2022)
ATMO 555 (Fall 2021)
ATMO 555 (Fall 2020)
ATMO 555 (Fall 2019)
ATMO 555 (Fall 2018)
Global Climate Change
ATMO 595B (Spring 2022)
ATMO 595B (Spring 2020)
HWRS 595B (Spring 2022)
HWRS 595B (Spring 2020)
Independent Study
ATMO 599 (Spring 2020)
HWRS 599 (Spring 2021)
HWRS 599 (Fall 2020)
HWRS 599 (Spring 2020)
HWRS 599 (Fall 2019)
HWRS 599 (Spring 2019)
HWRS 699 (Fall 2022)
HWRS 699 (Fall 2020)
HWRS 699 (Fall 2019)
Thesis
HWRS 910 (Spring 2022)
HWRS 910 (Fall 2021)
HWRS 910 (Spring 2021)
HWRS 910 (Spring 2020)
Dissertation
HWRS 920 (Spring 2023)
HWRS 920 (Fall 2022)
HWRS 920 (Spring 2022)
HWRS 920 (Fall 2021)
HWRS 920 (Spring 2021)
Selected Publications
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
- 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.
- 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.
Proceedings Publications
- 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.
Presentations
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Others
- 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.
Awards
- Distinguished Scholar Award and tile
- U of Arizona, Spring 2020
- NASA JPL award for development of AIRS based drought indicator and prediction
- NASA JPL, Fall 2017
- Fellow, Kavli Frontiers of Science, National Academy of Sciences
- Kavli Frontiers of Science, National Academy of Sciences, Summer I 2017
- NASA JPL Scince Devition team award
- NASA JPL, Spring 2017
- NASA Early Career Achievement Medal
- NASA HQ (Headquarter), Fall 2016
- WCRP/GEWEX Outstanding Early Career Award
- World Climate Research Programme (WCRP), Summer I 2014
- NASA JPL Team Award
- NASA JPL, Fall 2013
- NASA JPL Outstanding Postdoc Research Award
- NASA JPL, Spring 2012