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Amir Mazrooei
Amir Mazrooei
Verified email at ucar.edu
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Cited by
Year
Decomposition of sources of errors in seasonal streamflow forecasting over the US Sunbelt
A Mazrooei, T Sinha, A Sankarasubramanian, S Kumar, ...
Journal of Geophysical Research: Atmospheres 120 (23), 11,809-11,825, 2015
462015
Urbanization impacts on evapotranspiration across various spatio‐temporal scales
A Mazrooei, M Reitz, D Wang, A Sankarasubramanian
Earth's Future 9 (8), e2021EF002045, 2021
322021
Decomposition of sources of errors in monthly to seasonal streamflow forecasts in a rainfall–runoff regime
T Sinha, A Sankarasubramanian, A Mazrooei
Journal of Hydrometeorology 15 (6), 2470-2483, 2014
292014
HESS Opinions: Beyond the long-term water balance: evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under …
A Sankarasubramanian, D Wang, S Archfield, M Reitz, RM Vogel, ...
Hydrology and Earth System Sciences 24 (4), 1975-1984, 2020
202020
Improving monthly streamflow forecasts through assimilation of observed streamflow for rainfall-dominated basins across the CONUS
A Mazrooei, A Sankarasubramanian
Journal of hydrology 575, 704-715, 2019
202019
Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow
A Mazrooei, A Sankarasubramanian, AW Wood
Journal of Hydrology 600, 126559, 2021
132021
Utilizing probabilistic downscaling methods to develop streamflow forecasts from climate forecasts
A Mazrooei, A Sankarasubramanian
Journal of hydrometeorology 18 (11), 2959-2972, 2017
62017
Comprehensive analysis of the NOAA National Water Model: A call for heterogeneous formulations and diagnostic model selection
JM Johnson, S Fang, A Sankarasubramanian, AM Rad, L Kindl da Cunha, ...
Journal of Geophysical Research: Atmospheres 128 (24), e2023JD038534, 2023
42023
Evaluation of the skill in monthly-to-seasonal soil moisture forecasting based on SMAP satellite observations over the southeastern US
A Mazrooei, A Sankarasubramanian, V Lakshmi
Hydrology and Earth System Sciences 24 (3), 1073-1079, 2020
32020
Quantifying and Reducing Uncertainty from Multiple Sources in Forecasting Monthly to Seasonal Land-Surface Attributes
A Mazrooei
North Carolina State University, 2017
32017
Generalization of Runoff Risk Prediction at Field Scales to a Continental‐Scale Region Using Cluster Analysis and Hybrid Modeling
CM Ford, Y Hu, C Ghosh, LM Fry, S Malakpour‐Estalaki, L Mason, ...
Geophysical Research Letters 49 (17), e2022GL100667, 2022
22022
Experimental reservoir storage forecasts utilizing climate-information based streamflow forecasts
S Arumugam, R Boyles, A Mazrooei, H Singh
Water Resources Research Institute of the University of North Carolina, 2015
22015
Decomposition of Sources of Errors in Seasonal Streamflow Forecasting Over the US Sunbelt Using Multiple Land Surface Models.
A Mazrooei
22014
Variational assimilation of streamflow observations in improving monthly streamflow forecasting
A Mazrooei, A Sankarasubramanian, AW Wood
Hydrology and Earth System Sciences Discussions 2019, 1-22, 2019
12019
Addressing Great Lakes Water Quality Challenges: Improving Runoff Prediction for Sustainable Agriculture and Enhanced Water Quality
A Meydani, Y Hu, DN Yates, LM Fry, AH Mazrooei
AGU23, 2023
2023
Ingesting the operational National Blend of Models meteorological forecasts into the operational NOAA National Water Model
AH Mazrooei, Y Zhang, I Srivastava, R Cabell, A McCluskey, D Gochis
AGU23, 2023
2023
Development and evaluation of a WRF-Hydro based retrospective simulation of CONUS water resources for the USGS Integrated Water Availability Assessment
D Gochis, A Rafieeinasab, AL Dugger, Y Zhang, KM Sampson, E Towler, ...
AGU23, 2023
2023
Assimilation of In-Situ Snow Observations in National Water Model through Jedi Framework
A Mazrooei, T Enzminger, S Rasmussen, AM Fox, J McCreight, ...
103rd AMS Annual Meeting, 2023
2023
A Comprehensive Snow Parameter Sensitivity Analysis for Improved Snow Data Assimilation in the NOAA National Water Model
T Enzminger, A Dugger, A RafieeiNasab, A Mazrooei, AM Fox, ...
103rd AMS Annual Meeting, 2023
2023
Using Recurrent Neural Networks to Compare the Potential of Meteorological Forcing Datasets for Streamflow Prediction
A Mazrooei, A Dugger, A RafieeiNasab, E Towler, J McCreight, DJ Gochis, ...
103rd AMS Annual Meeting, 2023
2023
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