| Comparative assessment of snowfall retrieval from microwave humidity sounders using machine learning methods A Adhikari, MR Ehsani, Y Song, A Behrangi Earth and Space Science 7 (11), e2020EA001357, 2020 | 48 | 2020 |
| The new version 3.2 global precipitation climatology project (GPCP) monthly and daily precipitation products GJ Huffman, RF Adler, A Behrangi, DT Bolvin, EJ Nelkin, G Gu, ... Journal of Climate 36 (21), 7635-7655, 2023 | 47 | 2023 |
| NowCasting-Nets: Representation learning to mitigate latency gap of satellite precipitation products using convolutional and recurrent neural networks MR Ehsani, A Zarei, HV Gupta, K Barnard, E Lyons, A Behrangi IEEE Transactions on Geoscience and remote Sensing 60, 1-21, 2022 | 43 | 2022 |
| 2019–2020 Australia fire and its relationship to hydroclimatological and vegetation variabilities MR Ehsani, J Arevalo, CB Risanto, M Javadian, CJ Devine, A Arabzadeh, ... Water 12 (11), 3067, 2020 | 43 | 2020 |
| Assessment of the Advanced Very High Resolution Radiometer (AVHRR) for Snowfall Retrieval in High Latitudes Using CloudSat and Machine … MR Ehsani, A Behrangi, A Adhikari, Y Song, GJ Huffman, RF Adler, ... Journal of Hydrometeorology 22 (6), 1591-1608, 2021 | 40 | 2021 |
| A comparison of correction factors for the systematic gauge-measurement errors to improve the global land precipitation estimate MR Ehsani, A Behrangi Journal of Hydrology 610, 127884, 2022 | 33 | 2022 |
| Global intercomparison of atmospheric rivers precipitation in remote sensing and reanalysis products A Arabzadeh, MR Ehsani, B Guan, S Heflin, A Behrangi Journal of Geophysical Research: Atmospheres 125 (21), e2020JD033021, 2020 | 33 | 2020 |
| Assessment of Snowfall Accumulation from Satellite and Reanalysis Products Using SNOTEL Observations in Alaska Y Song, P Broxton, MR Ehsani, A Behrangi Remote Sensing, 2021 | 24 | 2021 |
| Towards interpretable LSTM-based modelling of hydrological systems LA De la Fuente, MR Ehsani, HV Gupta, LE Condon Hydrology and Earth System Sciences Discussions 2023, 1-36, 2023 | 19 | 2023 |
| Nowcasting-Nets: Deep neural network structures for precipitation nowcasting using IMERG MR Ehsani, A Zarei, HV Gupta, K Barnard, A Behrangi arXiv preprint arXiv:2108.06868, 2021 | 18 | 2021 |
| Application of machine learning and remote sensing for gap-filling daily precipitation data of a sparsely gauged basin in East Africa M Faramarzzadeh, MR Ehsani, M Akbari, R Rahimi, M Moghaddam, ... Environmental Processes 10 (1), 8, 2023 | 12 | 2023 |
| Evaluating the evolution of ECMWF precipitation products using observational data for Iran: From ERA40 to ERA5 N Ghajarnia, M Akbari, P Saemian, MR Ehsani, SM Hosseini‐Moghari, ... Earth and Space Science 9 (10), e2022EA002352, 2022 | 11 | 2022 |
| Can deep learning extract useful information about energy dissipation and effective hydraulic conductivity from gridded conductivity fields? MA Moghaddam, PAT Ferre, MR Ehsani, J Klakovich, HV Gupta Water 13 (12), 1668, 2021 | 11 | 2021 |
| Application of machine learning methods in inferring surface water groundwater exchanges using high temporal resolution temperature measurements MA Moghaddam, T Ferre, X Chen, K Chen, MR Ehsani arXiv preprint arXiv:2201.00726, 2022 | 9 | 2022 |
| Improving mountain snowpack estimation using machine learning with Sentinel‐1, the Airborne Snow Observatory, and University of Arizona snowpack data P Broxton, MR Ehsani, A Behrangi Earth and Space Science 11 (3), e2023EA002964, 2024 | 8 | 2024 |
| How well do satellite and reanalysis precipitation products capture North American monsoon season in Arizona and New Mexico? MR Ehsani, S Heflin, CB Risanto, A Behrangi Weather and Climate Extremes 38, 100521, 2022 | 8 | 2022 |
| Computing accurate probabilistic estimates of one-D entropy from equiprobable random samples HV Gupta, MR Ehsani, T Roy, MA Sans-Fuentes, U Ehret, A Behrangi Entropy 23 (6), 740, 2021 | 8 | 2021 |
| On the importance of gauge-undercatch correction factors and their impacts on the global precipitation estimates MR Ehsani, A Behrangi Preprint 202106, 2021 | 7 | 2021 |
| Algorithm theoretical basis document (ATBD) for global precipitation climatology project version 3.2 daily precipitation data GJ Huffman, RF Adler, A Behrangi, DT Bolvin, EJ Nelkin, MR Ehsani MEaSUREs project, 2023 | 5 | 2023 |
| Improving prediction of mountain snowfall in the southwestern United States using machine learning methods CA Hoopes, CL Castro, A Behrangi, MR Ehsani, P Broxton Meteorological Applications 30 (6), e2153, 2023 | 4 | 2023 |
Ali BehrangiProfessor, University of ArizonaVahvistettu sähköpostiosoite verkkotunnuksessa email.arizona.edu