Evaluation of downscaled General Circulation Model (GCM) output for current conditions and associated error in simulated runoff for CONUS
Completed
By Community for Data Integration (CDI)
September 12, 2013
This project will assess the accuracy of climate drivers (precipitation and temperature) from different sources for current and future conditions. The impact of these drivers on hydrologic response will be using the monthly water balance model (MWBM). The methodology for processing and analysis of these datasets will be automated for when new climate datasets become available on the USGS Geo Data Portal (http://cida.usgs.gov/climate/gdp/ - content no longer available). This will ensure continued relevancy of project results, future opportunities for research and assessment of potential climate change impacts on hydrologic resources, and comparison between generations of climate data. To share and distribute the results with scientists and environmental resource managers, project-related data will be hosted with collaborators using a customized web portal developed by USGS ScienceBase (http://www.fort.usgs.gov/WebApps/SciBase.asp - content no longer available).
Principal Investigator : Andy Bock, Lauren E Hay
Cooperator/Partner : Gail A Montgomery, Tim Kern, Roland Viger, Gregory J McCabe
Benefits:
In addition to benefits listed in the description of how the project supports the CDI SSF:
Principal Investigator : Andy Bock, Lauren E Hay
Cooperator/Partner : Gail A Montgomery, Tim Kern, Roland Viger, Gregory J McCabe
Benefits:
In addition to benefits listed in the description of how the project supports the CDI SSF:
- The accuracy of climate data made available from the GDP, and subsequent MWBM output, for historical and future conditions, will be evaluated on modeling units we refer to as the GeoSpatial Fabric (GF). The GF is a spatial discretization of the conterminous United States (CONUS) based on the NHDPlus feature set ( http://www.horizon-systems.com/nhdplus/). This allows results to be summarized both locally and for specific real-world hydrographic features, such as USGS streamgages, and major waterbody outlets and river confluences.
- The web portal will provide scientists and resource managers with needed information to choose the appropriate data set with associated uncertainties for their region of application.
- Deliverables can be customized for specific applications or research targets defined by research partners such as USGS Climate Science Centers and Regional Landscape Cooperatives
- Data Products and Web Services:
- Climate data summarized for the GeoSpatial Fabric for CONUS
- PRISM, DAYMET, GSD(Maurer), and BCSD for CMIP3 and CMIP5 (>200 GCMs)
- Metrics describing uncertainty associated with climate drivers
- New post doc through Powell Center (Kirsti Hakala) is working on metrics
- Web Portal using an interactive Web mapping service to display and distribute results
- Prototype for SC CSC in progress. Currently working with FORT web applications team to reskin for the nation
- Climate data summarized for the GeoSpatial Fabric for CONUS
- Publications & Presentations:
- Hay, L. E., LaFontaine, J.H., and Markstrom, 2014, Evaluation of Statistically Downscaled GCM Output as Input for Hydrological and Stream Temperature Simulation in the Apalachicola-Chattahoochee-Flint River Basin (1961-1999): Earth Interactions, 18(9).
- Journal Paper for MWBM parameter regionalization used with CONUS application in progress.
- USGS Fact sheet for using the Web Portal (see link below).
- CDI presentation on Sept 10, 2014.
- AGU presentation on MWBM portal in Fall 2014 ("Monthly Water Balance Model Portal for the United States", Hay et al., http://abstractsearch.agu.org/meetings/2014/FM/H43I-1077.html - content no longer available).
- Source: USGS Sciencebase (id: 52323b6ae4b0f06321418f24)
Monthly Water Balance Model Hydrology Futures
The monthly water balance model (MWBM) was driven with precipitation and temperature for current and future conditions using the GMO/GSD dataset (Maurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002. A Long-Term Hydrologically-Based Data Set of Land Surface Fluxes and States for the Conterminous United States, Journal of Climatology 15) and selected general...
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
The U.S. Geological Survey Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/) is a user-friendly interface that summarizes monthly historical and simulated future conditions for seven hydrologic and meteorological variables (actual evapotranspiration, potential evapotranspiration, precipitation, runoff, snow water equivalent, atmospheric temperature, and streamflow)...
Authors
Andrew R. Bock, Lauren E. Hay, Steven L. Markstrom, Christopher Emmerich, Marian Talbert
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and...
Authors
Andy Bock
Evaluation of statistically downscaled GCM output as input for hydrological and stream temperature simulation in the Apalachicola–Chattahoochee–Flint River Basin (1961–99)
The accuracy of statistically downscaled general circulation model (GCM) simulations of daily surface climate for historical conditions (1961–99) and the implications when they are used to drive hydrologic and stream temperature models were assessed for the Apalachicola–Chattahoochee–Flint River basin (ACFB). The ACFB is a 50 000 km2 basin located in the southeastern United States. Three...
Authors
Lauren E. Hay, Jacob H. LaFontaine, Steven L. Markstrom
Andrew R Bock
Hydrologist for the Geospatial Intelligence Branch
Hydrologist for the Geospatial Intelligence Branch
Email
Phone
Gail Montgomery (Former Employee)
IT Project Manager
IT Project Manager
Roland J Viger (Former Employee)
Chief, Geo-Intelligence Branch
Chief, Geo-Intelligence Branch
Gregory McCabe (Former Employee)
Research Physical Scientist
Research Physical Scientist
This project will assess the accuracy of climate drivers (precipitation and temperature) from different sources for current and future conditions. The impact of these drivers on hydrologic response will be using the monthly water balance model (MWBM). The methodology for processing and analysis of these datasets will be automated for when new climate datasets become available on the USGS Geo Data Portal (http://cida.usgs.gov/climate/gdp/ - content no longer available). This will ensure continued relevancy of project results, future opportunities for research and assessment of potential climate change impacts on hydrologic resources, and comparison between generations of climate data. To share and distribute the results with scientists and environmental resource managers, project-related data will be hosted with collaborators using a customized web portal developed by USGS ScienceBase (http://www.fort.usgs.gov/WebApps/SciBase.asp - content no longer available).
Principal Investigator : Andy Bock, Lauren E Hay
Cooperator/Partner : Gail A Montgomery, Tim Kern, Roland Viger, Gregory J McCabe
Benefits:
In addition to benefits listed in the description of how the project supports the CDI SSF:
Principal Investigator : Andy Bock, Lauren E Hay
Cooperator/Partner : Gail A Montgomery, Tim Kern, Roland Viger, Gregory J McCabe
Benefits:
In addition to benefits listed in the description of how the project supports the CDI SSF:
- The accuracy of climate data made available from the GDP, and subsequent MWBM output, for historical and future conditions, will be evaluated on modeling units we refer to as the GeoSpatial Fabric (GF). The GF is a spatial discretization of the conterminous United States (CONUS) based on the NHDPlus feature set ( http://www.horizon-systems.com/nhdplus/). This allows results to be summarized both locally and for specific real-world hydrographic features, such as USGS streamgages, and major waterbody outlets and river confluences.
- The web portal will provide scientists and resource managers with needed information to choose the appropriate data set with associated uncertainties for their region of application.
- Deliverables can be customized for specific applications or research targets defined by research partners such as USGS Climate Science Centers and Regional Landscape Cooperatives
- Data Products and Web Services:
- Climate data summarized for the GeoSpatial Fabric for CONUS
- PRISM, DAYMET, GSD(Maurer), and BCSD for CMIP3 and CMIP5 (>200 GCMs)
- Metrics describing uncertainty associated with climate drivers
- New post doc through Powell Center (Kirsti Hakala) is working on metrics
- Web Portal using an interactive Web mapping service to display and distribute results
- Prototype for SC CSC in progress. Currently working with FORT web applications team to reskin for the nation
- Climate data summarized for the GeoSpatial Fabric for CONUS
- Publications & Presentations:
- Hay, L. E., LaFontaine, J.H., and Markstrom, 2014, Evaluation of Statistically Downscaled GCM Output as Input for Hydrological and Stream Temperature Simulation in the Apalachicola-Chattahoochee-Flint River Basin (1961-1999): Earth Interactions, 18(9).
- Journal Paper for MWBM parameter regionalization used with CONUS application in progress.
- USGS Fact sheet for using the Web Portal (see link below).
- CDI presentation on Sept 10, 2014.
- AGU presentation on MWBM portal in Fall 2014 ("Monthly Water Balance Model Portal for the United States", Hay et al., http://abstractsearch.agu.org/meetings/2014/FM/H43I-1077.html - content no longer available).
- Source: USGS Sciencebase (id: 52323b6ae4b0f06321418f24)
Monthly Water Balance Model Hydrology Futures
The monthly water balance model (MWBM) was driven with precipitation and temperature for current and future conditions using the GMO/GSD dataset (Maurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002. A Long-Term Hydrologically-Based Data Set of Land Surface Fluxes and States for the Conterminous United States, Journal of Climatology 15) and selected general...
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
The U.S. Geological Survey Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/) is a user-friendly interface that summarizes monthly historical and simulated future conditions for seven hydrologic and meteorological variables (actual evapotranspiration, potential evapotranspiration, precipitation, runoff, snow water equivalent, atmospheric temperature, and streamflow)...
Authors
Andrew R. Bock, Lauren E. Hay, Steven L. Markstrom, Christopher Emmerich, Marian Talbert
The U.S. Geological Survey Monthly Water Balance Model Futures Portal
Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and...
Authors
Andy Bock
Evaluation of statistically downscaled GCM output as input for hydrological and stream temperature simulation in the Apalachicola–Chattahoochee–Flint River Basin (1961–99)
The accuracy of statistically downscaled general circulation model (GCM) simulations of daily surface climate for historical conditions (1961–99) and the implications when they are used to drive hydrologic and stream temperature models were assessed for the Apalachicola–Chattahoochee–Flint River basin (ACFB). The ACFB is a 50 000 km2 basin located in the southeastern United States. Three...
Authors
Lauren E. Hay, Jacob H. LaFontaine, Steven L. Markstrom
Andrew R Bock
Hydrologist for the Geospatial Intelligence Branch
Hydrologist for the Geospatial Intelligence Branch
Email
Phone
Gail Montgomery (Former Employee)
IT Project Manager
IT Project Manager
Roland J Viger (Former Employee)
Chief, Geo-Intelligence Branch
Chief, Geo-Intelligence Branch
Gregory McCabe (Former Employee)
Research Physical Scientist
Research Physical Scientist