Farshid Rahmani

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

Farshid Rahmani, Kathryn Lawson, Wenyu Ouyang et al. · Environmental Research Letters · 2020 · 134 citations · Full text

A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data

Jiangtao Liu, Farshid Rahmani, Kathryn Lawson et al. · Geophysical Research Letters · 2022 · 97 citations · Full text

Engineering, Machine Learning, Climate Modeling +17

Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins

Farshid Rahmani, Chaopeng Shen, Samantha K. Oliver et al. · Hydrological Processes · 2021 · 79 citations

Hydrological Prediction, Engineering, Daily Stream Temperature +21

Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning

Tadd Bindas, Wen‐Ping Tsai, Jiangtao Liu et al. · Water Resources Research · 2024 · 53 citations · Full text

Hydrological Prediction, Engineering, Machine Learning +23

A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds

Gourab Saha, Farshid Rahmani, Chaopeng Shen et al. · The Science of The Total Environment · 2023 · 50 citations · Full text

Surface Runoff, Engineering, Data Science +8