Barton A. Forman

Associate Professor

University of Maryland

United States

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Dr. Barton A. Forman is an Associate Professor at the University of Maryland, USA. His research focuses on soil moisture retrieval, snow mass estimation, and the assimilation of satellite observations into land surface models. Recent publications highlight his work on the effects of climate data on pavement analysis and runoff estimation in South Asia. He plays a significant role in advancing methods for quantifying terrestrial water storage and improving the understanding of snow-related uncertainties across North America.

Articles (11)

Year:

2024

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2022

Year:

2022

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2022

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2022

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2021

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2021

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2021

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2021

Year:

2021

Year:

2020

Collaborators (3)

Ana Barros

Professor and Head/ Donald Biggar Willett Chair of Engineering

University of Illinois System

UNITED STATES

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Melody Sandells

Northumbria University

UNITED KINGDOM

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Augusto Getirana

National Aeronautics and Space Administration (NASA)

UNITED STATES

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Barton A. Forman

Research Interests

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Contact this professor

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Articles (11)

Influence of SMAP soil moisture retrieval assimilation on runoff estimation across South Asia

Evaluation of shortwave and longwave radiation models for mechanistic-empirical pavement analysis

Soil moisture estimation in South Asia via assimilation of SMAP retrievals

Exploring the Spatiotemporal Coverage of Terrestrial Snow Mass Using a Suite of Satellite Constellation Configurations

Estimation of Snow Mass Information via Assimilation of C-Band Synthetic Aperture Radar Backscatter Observations Into an Advanced Land Surface Model

Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

Evaluation of four different climate sources on pavement mechanistic-empirical design and impact of surface shortwave radiation

Assimilation of Ground‐Based GPS Observations of Vertical Displacement into a Land Surface Model to Improve Terrestrial Water Storage Estimates

Passive Microwave Brightness Temperature Assimilation to Improve Snow Mass Estimation Across Complex Terrain in Pakistan, Afghanistan, and Tajikistan

Prediction of Active Microwave Backscatter Over Snow-Covered Terrain Across Western Colorado Using a Land Surface Model and Support Vector Machine Regression

Evaluation of GEOS-Simulated L-Band Microwave Brightness Temperature Using Aquarius Observations over Non-Frozen Land across North America

Collaborators (3)

Ana Barros

Melody Sandells

Augusto Getirana

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