Moving towards EarthMAP: Establishing linkages among USGS land use, water use, runoff, and recharge models
Completed
By Community for Data Integration (CDI)
April 20, 2020
Understanding and anticipating change in dynamic Earth systems is vital for societal adaptation and welfare. USGS possesses the multidisciplinary capabilities to anticipate Earth systems change, yet our work is often bound within a single discipline and/or Mission Area. The proposed work breaks new ground in moving USGS towards an interdisciplinary predictive modeling framework. We are initially leveraging three research elements that cross the Land Resources and Water Mission Areas in an attempt to “close the loop” in modeling interactions among water, land use, and climate. Using the Delaware River Basin as a proof-of-concept, we are modeling 1) historical and future landscapes (~1850 to 2100), 2) evapotranspiration and water use by vegetation, and 3) groundwater and surface water flows and interactions. We will develop a conceptual framework for characterizing feedbacks among these processes and define a roadmap for a potential scaling up to a national/enterprise-scale capability.
Principal Investigator : Terry L Sohl
Co-Investigator : Ward E Sanford, Gabriel Senay
Principal Investigator : Terry L Sohl
Co-Investigator : Ward E Sanford, Gabriel Senay
- Source: USGS Sciencebase (id: 5e9dabf582ce172707fb8cae)
Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100)
The USGS's FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3...
Prototyping a methodology for long-term (1680-2100) historical-to-future landscape modeling for the conterminous United States
Land system change has been identified as one of four major Earth system processes where change has passed a destabilizing threshold. A historical record of landscape change is required to understand the impacts change has had on human and natural systems, while scenarios of future landscape change are required to facilitate planning and mitigation efforts. A methodology for modeling...
Authors
Jordan Dornbierer, Steve Wika, Charles Robison, Gregory Rouze, Terry L. Sohl
Terry Sohl
Supervisory Physical Scientist
Supervisory Physical Scientist
Email
Phone
Gabriel B Senay, Ph.D.
Research Physical Scientist
Research Physical Scientist
Email
Phone
Understanding and anticipating change in dynamic Earth systems is vital for societal adaptation and welfare. USGS possesses the multidisciplinary capabilities to anticipate Earth systems change, yet our work is often bound within a single discipline and/or Mission Area. The proposed work breaks new ground in moving USGS towards an interdisciplinary predictive modeling framework. We are initially leveraging three research elements that cross the Land Resources and Water Mission Areas in an attempt to “close the loop” in modeling interactions among water, land use, and climate. Using the Delaware River Basin as a proof-of-concept, we are modeling 1) historical and future landscapes (~1850 to 2100), 2) evapotranspiration and water use by vegetation, and 3) groundwater and surface water flows and interactions. We will develop a conceptual framework for characterizing feedbacks among these processes and define a roadmap for a potential scaling up to a national/enterprise-scale capability.
Principal Investigator : Terry L Sohl
Co-Investigator : Ward E Sanford, Gabriel Senay
Principal Investigator : Terry L Sohl
Co-Investigator : Ward E Sanford, Gabriel Senay
- Source: USGS Sciencebase (id: 5e9dabf582ce172707fb8cae)
Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100)
The USGS's FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3...
Prototyping a methodology for long-term (1680-2100) historical-to-future landscape modeling for the conterminous United States
Land system change has been identified as one of four major Earth system processes where change has passed a destabilizing threshold. A historical record of landscape change is required to understand the impacts change has had on human and natural systems, while scenarios of future landscape change are required to facilitate planning and mitigation efforts. A methodology for modeling...
Authors
Jordan Dornbierer, Steve Wika, Charles Robison, Gregory Rouze, Terry L. Sohl
Terry Sohl
Supervisory Physical Scientist
Supervisory Physical Scientist
Email
Phone
Gabriel B Senay, Ph.D.
Research Physical Scientist
Research Physical Scientist
Email
Phone