| The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data P Nguyen, EJ Shearer, H Tran, M Ombadi, N Hayatbini, T Palacios, ... Scientific data 6 (1), 1-10, 2019 | 165 | 2019 |
| Global precipitation trends across spatial scales using satellite observations P Nguyen, A Thorstensen, S Sorooshian, K Hsu, A Aghakouchak, ... Bulletin of the American Meteorological Society 99 (4), 689-697, 2018 | 55 | 2018 |
| A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017 H Tran, P Nguyen, M Ombadi, K Hsu, S Sorooshian, X Qing Scientific data 6 (1), 1-13, 2019 | 33 | 2019 |
| Evaluation of CMIP5 model precipitation using PERSIANN-CDR P Nguyen, A Thorstensen, S Sorooshian, Q Zhu, H Tran, H Ashouri, ... Journal of Hydrometeorology 18 (9), 2313-2330, 2017 | 28 | 2017 |
| Development of a deep learning emulator for a distributed groundwater–surface water model: ParFlow-ML H Tran, E Leonarduzzi, L De la Fuente, RB Hull, V Bansal, C Chennault, ... Water 13 (23), 3393, 2021 | 16 | 2021 |
| Exploring trends through “RainSphere”: research data transformed into public knowledge P Nguyen, S Sorooshian, A Thorstensen, H Tran, P Huynh, T Pham, ... Bulletin of the American Meteorological Society 98 (4), 653-658, 2017 | 14 | 2017 |
| Simulating Groundwater‐Streamflow Connections in the Upper Colorado River Basin H Tran, J Zhang, JM Cohard, LE Condon, RM Maxwell Groundwater 58 (3), 392-405, 2020 | 12 | 2020 |
| A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019 H Tran, J Zhang, MM O’Neill, A Ryken, LE Condon, RM Maxwell Scientific Data 9 (1), 16, 2022 | 8 | 2022 |
| Improving hydrologic modeling using cloud-free MODIS flood maps H Tran, P Nguyen, M Ombadi, K Hsu, S Sorooshian, K Andreadis Journal of Hydrometeorology 20 (11), 2203-2214, 2019 | 8 | 2019 |
| A national topographic dataset for hydrological modeling over the contiguous United States J Zhang, LE Condon, H Tran, RM Maxwell Earth System Science Data 13 (7), 3263-3279, 2021 | 2 | 2021 |
| Climate lags and genetics determine phenology in quaking aspen (Populus tremuloides). BW Blonder, PG Brodrick, KD Chadwick, E Carroll, RM Cruz-de Hoyos, ... The New Phytologist, 2023 | | 2023 |
| Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate E Leonarduzzi, H Tran, V Bansal, RB Hull, L De la Fuente, LA Bearup, ... Frontiers in Water 4, 927113, 2022 | | 2022 |
| Real-Time Tracking of the Extreme Rainfall of Hurricanes Harvey, Irma, and Maria using UCI CHRS's iRain System EJ Shearer, P Nguyen, M Ombadi, T Palacios, P Huynh, D Furman, ... AGU Fall Meeting Abstracts 2017, NH23E-2835, 2017 | | 2017 |
| MODIS Snow Cover Recovery Using Variational Interpolation H Tran, P Nguyen, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2017, H31G-1592, 2017 | | 2017 |
| UC Irvine CHRS RainSphere-a new user friendly tool for analyzing global remotely sensed rainfall estimates P Nguyen, S Sorooshian, KL Hsu, X Gao, A AghaKouchak, D Braithwaite, ... AGU Fall Meeting Abstracts 2016, IN53C-1896, 2016 | | 2016 |
| UC Irvine CHRS iRain-An Integrated System for Global Real-time Precipitation Observation H Tran, P Nguyen, P Huynh, T Palacios, D Braithwaite, KL Hsu, ... AGU Fall Meeting Abstracts 2016, H23F-1642, 2016 | | 2016 |
| Introduction to CHRS CONNECT-a global extreme precipitation event database using object-oriented approach P Nguyen, AR Thorstensen, H Liu, SL Sellars, H Ashouri, P Huynh, ... AGU Fall Meeting Abstracts 2015, GC31D-1216, 2015 | | 2015 |
soroosh sorooshianProfessor of Civil Engineering, UC IrvineVerified email at uci.edu
