Publications
Improving streamflow predictions in the arid Southwestern United States through understanding of baseflow generation mechanisms.
M. A. Farmani, A. Tavakoly, A. Behrangi, et al.
Water Resources Research, 2025 (Advance online publication)
Do land models miss key soil hydrological processes controlling soil moisture memory?
M. A. Farmani, A. Behrangi, A. Gupta, A. Tavakoly, M. Geheran, & G.-Y. Niu
Hydrology and Earth System Sciences, 29, 547β566, 2025
The strong impact of precipitation intensity on groundwater recharge and terrestrial water storage change in Arizona, a typical dryland
Y. Qiu, J. S. Famiglietti, A. Behrangi, M. A. Farmani, et al.
Geophysical Research Letters, 52(14), e2025GL114747, 2025
How do IMERG V07, IMERG V06, and ERA5 precipitation products perform over snowβice-free and snowβice-covered surfaces at a range of near-surface temperatures?
H. Yousefi Sohi, M. A. Farmani, & A. Behrangi
Journal of Hydrometeorology, 26(7), 837β855, 2025
Improved evapotranspiration estimation using the Penman-Monteith equation with a deep learning (DNN) model over the dry southwestern US: Comparison with ECOSTRESS, MODIS, and OpenET
M. Jawad, A. Behrangi, M. A. Farmani, Y. Qiu, H. Yousefi Sohi, A. Gupta, & G.-Y. Niu
Journal of Hydrology, 133460, 2025
Representing Preferential Flow through Variably-Saturated Soils with Surface Ponding in a Large-Scale Land Surface Model over the Conterminous US
G.-Y. Niu, Y. Fang, A. Alves Meira Neto, et al. (incl. M. A. Farmani)
ESS Open Archive, 2024
Higher frozen soil permeability represented in a hydrological model improves spring streamflow prediction from river basin to continental scales
J. Agnihotri, A. Behrangi, A. Tavakoly, M. Geheran, M. A. Farmani, & G.-Y. Niu
Water Resources Research, 59(4), e2022WR033075, 2023
Conference Presentations
-
AGU 2024
Mohammad A. Farmani, Ahmad A. Tavakoly, Ali Behrangi, et al. Improving Streamflow Predictions in the Dry Southwestern United States Through Understanding of Baseflow Generation Mechanisms.
-
AGU 2024
Hossein Yousefi Sohi, Mohammad A. Farmani, Ali Behrangi. How do IMERG V07, IMERG V06, and ERA5 Precipitation Products Perform Over Snow-ice-free and Snow-ice-covered Surfaces?
-
AGU 2024
Y. Qiu, G.-Y. Niu, A. Behrangi, J. Famiglietti, M. A. Farmani, A. Gupta, et al. The Significant Impact of Precipitation Intensity on Natural Groundwater Recharge and Terrestrial Water Storage Change in Arid Regions.
-
AGU 2024
A. Gupta, A. Behrangi, M. A. Farmani, G.-Y. Niu. Implementing the Machine Learning Based Van-Genuchten Parametrization in the NextGen Framework for Improved Streamflow Prediction.
-
CMWR 2024
M. A. Farmani, A. Behrangi, A. Gupta, A. Tavakoly, M. Geheran, & G.-Y. Niu. What Are the Key Soil Hydrological Processes to Control Soil Moisture Memory?
-
AGU 2023
G.-Y. Niu, Y. Fang, A. Alves Meira Neto, B. Guo, M. A. Farmani, & A. Behrangi. Representing Preferential Flow through Variably Saturated Soils with Surface Ponding in Noah-MP.
-
AGU 2023
A. Gupta, A. Behrangi, M. A. Farmani, & G.-Y. Niu. Impact of Vegetation Dynamics on Hydrological Fluxes using Noah-MP Coupled to NextGen Modeling Framework: A Case Study of High-resolution Hydrological Simulations over California.