B. Forman

发表

Assessment and Enhancement of MERRA Land Surface Hydrology Estimates

R. Koster, G. Lannoy, R. Reichle, 2011 .

Performance of Different Climate Data Sources in Mechanistic-Empirical Pavement Distress Analyses

B. Forman, C. Schwartz, B. Cetin, 2018 .

Comparison of passive microwave brightness temperature prediction sensitivities over snow-covered land in North America using machine learning algorithms and the Advanced Microwave Scanning Radiometer

B. Forman, Yuan Xue, 2015 .

Assimilation of terrestrial water storage from GRACE in a snow‐dominated basin

M. Rodell, R. Reichle, B. Forman, 2011 .

High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applications.

Steven A. Margulis, Barton A. Forman, S. Margulis, 2009 .

Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS

Rolf H. Reichle, Barton A. Forman, Qing Liu, 2013, Surveys in Geophysics.

Evaluation and Enhancement of Permafrost Modeling With the NASA Catchment Land Surface Model

R. Koster, R. Reichle, B. Forman, 2017, Journal of advances in modeling earth systems.

Assimilation of multiresolution radiation products into a downwelling surface radiation model: 2. Posterior ensemble implementation

S. Margulis, B. Forman, 2010 .

Estimating snow mass in North America through assimilation of AMSR-E brightness temperature observations using the Catchment land surface model and support vector machines

R. Reichle, B. Forman, Yuan Xue, 2018 .

Analyzing Machine Learning Predictions of Passive Microwave Brightness Temperature Spectral Difference Over Snow-Covered Terrain in High Mountain Asia

Jawairia A. Ahmad, B. Forman, Yonghwan Kwon, 2019, Front. Earth Sci..

Space-Time Coverage Scenarios for A Global Snow Satellite Constellation

Edward J. Kim, Sreeja Nag, Edward Kim, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

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

Edward J. Kim, Sujay V. Kumar, D. Mocko, 2020, The Cryosphere.

Probabilistic Stormwater Runoff and Water Quality Modeling of a Highway in Suburban Maryland

A. Davis, B. Forman, Jing Wang, 2018 .

River Regulation Alleviates the Impacts of Climate Change on U.S. Thermoelectricity Production

L. Leung, B. Forman, M. Hejazi, 2020, Journal of Geophysical Research: Atmospheres.

Comparison of Vertical Surface Deformation Estimates Derived From Space‐Based Gravimetry, Ground‐Based GPS, and Model‐Based Hydrologic Loading Over Snow‐Dominated Watersheds in the United States

B. Forman, S. Luthcke, B. Loomis, 2020, Journal of Geophysical Research: Solid Earth.

Implications of water constraints on electricity capacity expansion in the United States

B. Forman, M. Hejazi, G. Iyer, 2017, Nature Sustainability.

Can the predictability of snow water equivalent and snow depth across regional scales be enhanced through atmospheric and forest decoupling?

B. Forman, Yuan Xue, 2022 .

Permafrost variability over the Northern Hemisphere based on the MERRA-2 reanalysis

Richard H. Chen, R. Koster, M. Moghaddam, 2018, The Cryosphere.

Soil moisture estimation in South Asia via assimilation of SMAP retrievals

Jawairia A. Ahmad, B. Forman, Kamalesh Kumar, 2022, Hydrology and Earth System Sciences.

SMAP retrieval assimilation improves soil Soil moisture estimation across irrigated areas in South Asia via

Jawairia A. Ahmad, B. Forman, Kamalesh Kumar, 2022 .

Soil moisture estimation in South Asia via SMAP retrieval assimilation of retrievals

Jawairia A. Ahmad, B. Forman, Kamalesh Kumar, 2022 .

Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Sujay V. Kumar, W. Crow, P. de Rosnay, 2022, Frontiers in Water.

Data Assimilation of Terrestrial Water Storage to Adjust Precipitation Fluxes

M. Rodell, R. Reichle, V. Maggioni, 2018 .

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

W. Crow, P. de Rosnay, R. Reichle, 2022, Journal of Advances in Modeling Earth Systems.

Impact of Covariance Localization on Ensemble Estimation of Surface Downwelling Longwave and Shortwave Radiation Fluxes

S. Margulis, B. Forman, 2012 .

Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia

Abhijit Mukherjee, Anthony Arendt, Benjamin F. Zaitchik, 2019, Front. Earth Sci..

Vulnerability of US thermoelectric power generation to climate change when incorporating state-level environmental regulations

Xiao Zhang, Barton A. Forman, Mohamad Hejazi, 2017, Nature Energy.

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

Gabrielle J. M. De Lannoy, Rolf Reichle, Barton A. Forman, 2020, Remote. Sens..

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

Stephan A. Durham, B. Forman, C. Schwartz, 2021, International Journal of Pavement Engineering.

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

Stephan A. Durham, L. S. P. Gopisetti, B. Forman, 2019, International Journal of Pavement Engineering.

Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations

J. Dozier, W. Kustas, J. Lundquist, 2021, AGU Advances.

SMAP retrieval assimilation improves soil moisture estimation across irrigated areas in South Asia

Jawairia A. Ahmad, Sujay V. Kumar, B. Forman, 2021 .

Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model

Gabrielle J. M. De Lannoy, Barton A. Forman, R. H. Reichle, 2018, Remote. Sens..

Quantifying the observational requirements of a space-borne LiDAR snow mission

Sujay V. Kumar, B. Forman, Y. Yoon, 2021 .

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

B. Forman, Gaohong Yin, Jing Wang, 2021, Water Resources Research.

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

Hans Lievens, Barton A. Forman, Jongmin Park, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Evaluation of ensemble‐based distributed hydrologic model response with disaggregated precipitation products

Steven A. Margulis, Enrique R. Vivoni, Barton A. Forman, 2008 .

Vegetation controls on soil moisture distribution in the Valles Caldera, New Mexico, during the North American monsoon

E. Vivoni, B. Forman, L. Méndez‐Barroso, 2008 .

Diagnostic Analysis of a Data Assimilation Framework for Improving Snow Mass Estimation in Complex Terrain

Jawairia A. Ahmad, B. Forman, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Atmospheric and Forest Decoupling of Passive Microwave Brightness Temperature Observations Over Snow-Covered Terrain in North America

Yuan Xue, Barton A. Forman, B. Forman, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Edward J. Kim, B. Forman, Lizhao Wang, 2022, Remote. Sens..

Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression

B. Forman, Yuan Xue, Jing Wang, 2021, Water Resources Research.

Machine learning predictions of passive microwave brightness temperature over snow-covered land using the special sensor microwave imager (SSM/I)

Barton A. Forman, Yuan Xue, B. Forman, 2017 .

Estimating Terrestrial Snow Mass via Multi‐Sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals

R. Reichle, B. Forman, M. Girotto, 2021 .

Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines

R. Reichle, B. Forman, Yuan Xue, 2018, Water resources research.

Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network

Chris Derksen, Rolf Reichle, Barton A. Forman, 2014, IEEE Transactions on Geoscience and Remote Sensing.

The spatial scale of model errors and assimilated retrievals in a terrestrial water storage assimilation system

B. Forman, R. Reichle, 2013 .

Water Storage Trends in High Mountain Asia

David E. Shean, Bryant D. Loomis, Anthony A. Arendt, 2019, Front. Earth Sci..

Quantifying the potential for reservoirs to secure future surface water yields in the world’s largest river basins

Keywan Riahi, Yusuke Satoh, Simon Parkinson, 2018 .

Integration of satellite-based passive microwave brightness temperature observations and an ensemble-based land data assimilation framework to improve snow estimation in forested regions

Yuan Xue, Barton A. Forman, B. Forman, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Using a Support Vector Machine and a Land Surface Model to Estimate Large-Scale Passive Microwave Brightness Temperatures Over Snow-Covered Land in North America

Rolf Reichle, Barton A. Forman, R. Reichle, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia

Sujay V. Kumar, Yeosang Yoon, Barton A. Forman, 2019, Remote. Sens..

Smap Soil Moisture Assimilation to Enhance Streamflow Estimates Across South Asia

Jawairia A. Ahmad, A. Getirana, B. Forman, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Alternative Source of Climate Data for Mechanistic–Empirical Pavement Performance Prediction

Charles W. Schwartz, Barton A. Forman, B. Forman, 2015 .

Sensitivity of Predicted Pavement Performance to Climate Characteristics

Charles W. Schwartz, Barton A. Forman, B. Forman, 2013 .