Reed Mailer Maxwell

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4 Active

Collaborative Research: Sustainability in the Food-Energy-Water nexus; integrated hydrologic modeling of tradeoffs between food and hydropower in large scale Chinese and US basins
Maxwell, R. M.
NSF - National Science Foundation
10/1/20 → 7/31/23
Project: Research project
INFEWS/T1: Groundwater and the future of sustainable agriculture - balancing economic, energy, and water constraints on food production
Maxwell, R. M.
Ntl Institute of Food and Agriculture
10/1/20 → 9/30/24
Project: Research project
Collaborative Research: Framework: Software: NSCI:Computational and data innovation implementing a national community hydrologic modeling framework for scientific discovery
Maxwell, R. M.
NSF - National Science Foundation
9/1/20 → 9/30/23
Project: Research project
An advanced coupled surface-subsurface hydrologic modeling and data assimilation system using LIS and Parflow
Maxwell, R. M.
NASA Goddard Space Flight Center
8/19/20 → 8/18/24
Project: Research project

148 Article
10 Conference contribution
5 Comment/debate
5 Review article
More

Accelerating the Lagrangian simulation of water ages on distributed, multi-GPU platforms: The importance of dynamic load balancing
Yang, C., Maxwell, R. M. & Valent, R., Sep 2022, In: Computers and Geosciences. 166, 105189.
Research output: Contribution to journal › Article › peer-review
A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019
Tran, H., Zhang, J., O’Neill, M. M., Ryken, A., Condon, L. E. & Maxwell, R. M., Dec 2022, In: Scientific Data. 9, 1, 16.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Unravelling groundwater contributions to evapotranspiration and constraining water fluxes in a high-elevation catchment
Ryken, A. C., Gochis, D. & Maxwell, R. M., Jan 2022, In: Hydrological Processes. 36, 1, e14449.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales
Yang, C., Zhang, Y. K., Liang, X., Olschanowsky, C., Yang, X. & Maxwell, R., Jun 2021, In: Computers and Geosciences. 151, 104760.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
A national topographic dataset for hydrological modeling over the contiguous United States
Zhang, J., Condon, L. E., Tran, H. & Maxwell, R. M., Jul 8 2021, In: Earth System Science Data. 13, 7, p. 3263-3279 17 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations

Reed Mailer Maxwell

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Collaborative Research: Sustainability in the Food-Energy-Water nexus; integrated hydrologic modeling of tradeoffs between food and hydropower in large scale Chinese and US basins

INFEWS/T1: Groundwater and the future of sustainable agriculture - balancing economic, energy, and water constraints on food production

Collaborative Research: Framework: Software: NSCI:Computational and data innovation implementing a national community hydrologic modeling framework for scientific discovery

An advanced coupled surface-subsurface hydrologic modeling and data assimilation system using LIS and Parflow

Accelerating the Lagrangian simulation of water ages on distributed, multi-GPU platforms: The importance of dynamic load balancing

A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Unravelling groundwater contributions to evapotranspiration and constraining water fluxes in a high-elevation catchment

Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales

A national topographic dataset for hydrological modeling over the contiguous United States

Reed Mailer Maxwell

Fingerprint

Network

Projects

Research output