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Picture of Hoshin Gupta

Hoshin Gupta

Professor, Hydrology / Atmospheric Sciences | Regents Professor, Hydrology / Atmospheric Sciences | Professor, Global Change - GIDP | Member of the Graduate Faculty | Professor, Remote Sensing / Spatial Analysis - GIDP | Srp Professor, Technology-Public Policy/Markets

Hydrology & Atmospheric Sci

Collaboration(44)

Hao Zhang
Sanlyn Buxner
Xubin Zeng
Katharine Jacobs
Adam Douglas Henry

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Grants(8)

Collaborative Research: Frameworks: Building a National Integrated Watershed Evaluation Framework: A Community Platform to Improve Model Evaluation and Decision Making
2024·$457.4K / $1.1M·
External
Co-Investigator (COI)
integrated watershed management, collaborative research, model evaluation, decision making, community platform
Improvement of WRF-Hydro National Water Model Architecture and Calibration Methods for Semi-Arid Environments with Complex Terrain
2017·$122.4K / $367.5K·
External
Co-Investigator (COI)
hydrology, water management, modeling, climate, terrain
Regional Optimization of WRF-Hydro Forecasts for the Contiguous US
2016·$19.9K / $39.9K·
External
Co-Investigator (COI)
weather forecasting, hydrology, meteorology, data analysis, climate modeling
SERVIR Water Africa-Arizona Team (SWAAT)
2012·$275.8K / $1.1M·
External
Co-Investigator (COI)
water management, remote sensing, climate change, collaborative research, geospatial technology
A Scientific Basis for Urban Water PLanning Under Climate Change (SWAN Project)
2012·$277.3K / $554.5K·
External
Principal Investigator (PI)
urban water planning, climate change, scientific basis, water management, environmental impact

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Publications(328)

Recent

A Mass‐Conserving‐Perceptron for Machine‐Learning‐Based Modeling of Geoscientific Systems

2024

machine learning, geoscientific systems, modeling, perceptron, mass conservation

Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron

2024

hydrological modeling, catchment scale, interpretable modelling, mass-conserving, physical-conceptual

Position Paper: Bridging the GaBetween Machine Learning and Sensitivity Analysis

2024

machine learning, sensitivity analysis, bridging methods, integration techniques, data analysis

Development of Groundwater Levels Dataset for Chile since 1970

2024

groundwater, water management, data collection, chile, geoscience

Rainfall distributional properties control hydrologic model parameter importance.

2024

rainfall, hydrologic modeling, parameter importance, distributional properties, hydrology

A Robust Strategy to Account for Data Sampling Variability in the Development of Hydrological Models

2023

hydrological modeling, data sampling, robust strategy, model development, variability

em In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

2023

metrics, hydrological modeling, human preferences, model performance, defense

em Towards Interpretable LSTM-based Modeling of Hydrological Systems

2023

hydrology, lstm modeling, interpretable modeling, water systems, data analysis

On Strictly Enforced Mass Conservation Constraints for Modeling the Rainfall Runoff Process

2023

hydrology, mathematics, water management, environmental engineering, climate science

Differentiable modelling to unify machine learning and physical models for geosciences

2023

machine learning, geosciences, differentiable modeling, physical models, unification