Data Product: Projected Future Conditions, Hydrology

Data Source: VIC forced by MACAv2-LIVNEH, VIC (v4.1.2 ), MACA (v2), Livneh (V13 US, v14 BC Canada)

Organization: University of Washington

Spatial Extent: Western USA, USA

Spatial Resolution: 1/16-deg (6-km, 3.7-mile)

Description: Projections from 10 global climate models (GCMs) and 2 scenarios were downscaled to 1/16th degree using MACAv2. The downscaling was trained on gridded historical observations of meteorology from Livneh (v13 for USA and v14 for British Columbia, Canada). Downscaled GCM forcings were then used to force the VIC (v 4.1.2) hydrologic model for the historic period (1950-2005) and future period (2006-2100).

Link: https://climate.northwestknowledge.net/IntegratedScenarios/

Data Website: https://climate.northwestknowledge.net/IntegratedScenarios/

Data Citation:

• Mote, P., Abatzoglou, J., Lettenmaier, D., Turner, D., Rupp, D., Bachelet, D., Conklin, D. (2017) “Final report for Integrated Scenarios of climate, hydrology, and vegetation for the Northwest”.
• Mote, Philip W., John T. Abatzoglou, Dennis P. Lettenmaier, Dave P. Turner, David E. Rupp, Dominique Bachelet, and David R. Conklin. Integrated Scenarios of Climate, Hydrology, and Vegetation for the Northwest, Final Report. Corvallis, Oregon: Pacific Northwest Climate Impacts Research Consortium, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, 2014.

Data Product: Projected Future Conditions, Streamflows

Data Source:Stream Routing of VIC forced by MACAv2-LIVNEH, VIC (v4.1.2 ), MACA (v2), Livneh (V13 US, v14 BC Canada) utilizing river routing scheme (Lohmann et al., 1998) and "no regulation-no irrigation (NRNI)" observations.

Organization: University of Washington

Spatial Extent: Key locations along streams and rivers in the Western USA, USA, some coincident with stream gauges

Spatial Resolution:point locations

Description: This dataset represents future projections of non-regulated streamflows at key stream loactions in the Western United States. This dataset was generated from the non-regulated stream routing of VIC hydrologic outputs which were forced with MACAv2-LIVNEH statistical downscaling of the CMIP5 global climate model outputs. Projections from 10 global climate models (GCMs) and 2 scenarios were downscaled to 1/16th degree using VIC forced by MACAv2. The downscaling was trained on gridded historical observations of meteorology from Livneh (v13 for USA and v14 for British Columbia, Canada). Downscaled GCM forcings were then used to force the VIC (v 4.1.2) hydrologic model for the historic period (1950-2005) and future period (2006-2100). A river routing scheme (Lohmann et al., 1998) was used to connect runoff from the upstream watershed to simulate river flow at various locations.

Link: https://climate.northwestknowledge.net/IntegratedScenarios/

Data Website: https://climate.northwestknowledge.net/IntegratedScenarios/

The "no regulation-no irrigation(NRNI)" observations is a set of streamflows that remove the effects of reservoir operations and irrigation withdrawals. This was put together by the River Management Joint Operating Committee, a partnership of the Bonneville Power Administration, the Army Corps of Engineers and the Bureau of Reclamation.

Data Citation:

Lohmann, D., R. Nolte-Holube, and E. Raschke, 1996: A large-scale horizontal routing model to be coupled to land surface parametrization schemes, Tellus, 48(A), 708-721

Mote, Philip W., John T. Abatzoglou, Dennis P. Lettenmaier, Dave P. Turner, David E. Rupp, Dominique Bachelet, and David R. Conklin. Integrated Scenarios of Climate, Hydrology, and Vegetation for the Northwest, Final Report. Corvallis, Oregon: Pacific Northwest Climate Impacts Research Consortium, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, 2014.

Data Product: Projected Future Conditions, Stream Temperatures

Data Source: NorWeST

Organization: University of Idaho

Spatial Extent: Western USA

Spatial Resolution: (1-km,0.6-mile) stream segments

Description: The NorWeST stream temperature model is used to produce projections of stream temperatures for key streams around the Western United States. The climate model used here is the dynamically downscaled NCEP RegCM3 and the future scenario is the CMIP3 SRES A1B scenario.

Link: https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html

Data Website: https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST/StreamTemperatureDataSummaries.shtml

Data Citation: Isaak, D., S. Wenger, E. Peterson, J. Ver Hoef, D. Nagel, C. Luce, S. Hostetler, J. Dunham, B. Roper, S. Wollrab, G. Chandler, D. Horan, S. Parkes-Payne. 2017. The NorWeST summer stream temperature model and scenarios for the western U.S.: A crowd-sourced database and new geospatial tools foster a user community and predict broad climate warming of rivers and streams. Water Resources Research, 53: 9181-9205. https://doi.org/10.1002/2017WR020969.

Data Product: Projected Future Conditions, Vegetation

Data Source: MC2

Organization: Conservation Biology Institute

Spatial Extent: Western USA

Spatial Resolution: 1/24-deg (4-km, 2.5-mile)

Description: The dynamic global vegetation model MC2 was run over the western United States at 1/24-deg resolution to simulate the impacts of climate futures generated by 20 global climate models using 2 future greenhouse gas emission scenarios. MC2 vegetation was modelled by first simulating potential natural vegetation dynamics simulated assuming no human impacts (without fire suppression management) and then assuming that the only land-use practice is fire suppression. The climate data for these runs came from MACAv1-PRISM and the future scenarios are RCP 4.5, RCP 8.5 from the CMIP5 project.

Link: https://climate.databasin.org/articles/8e01bd5f101c4863a0d6a69d58c9298b

Data Website: https://climate.northwestknowledge.net/IntegratedScenarios/

Data Citation: Simulating Broad-Scale Fire Severity in a Dynamic Global Vegetation Model. J.M. Lenihan, C. Daly, D. Bachelet, and R.P. Neilson. Northwest Science 72:91-103 (1998)

Data Product: Projected Future Conditions, Sea Level Rise (WA Coast)

Data Source: Washington Coastal Resilience Project (WCRP)

Organization: University of Washington

Spatial Extent: Washington State Coastline

Spatial Resolution: 0.1-degree grid (equivalent to roughly 5-7 miles)

Description: This project provides an updated set of sea level rise (SLR) projections that incorporates the latest science, provides community-scale projections, and is designed for direct application to risk management and planning. The SLR projections are generated from a suite of components including 1) land-based glacier & ice sheet melt,2) thermal expansion, 3) oceanographic processes, 4) ice sheet melt, 5) land water storage.

Link: http://www.wacoastalnetwork.com/wcrp-documents.html

Data Website: http://www.wacoastalnetwork.com/wcrp-documents.html

Data Citation:
Miller, I.M., Morgan, H., Mauger, G., Newton, T., Weldon, R., Schmidt, D., Welch, M., Grossman, E. 2018. Projected Sea Level Rise for Washington State – A 2018 Assess­ment. A collaboration of Washington Sea Grant, University of Washington Climate Impacts Group, Oregon State University, University of Washington, and US Geologi­cal Survey. Prepared for the Washington Coastal Resilience Project.

Data Product: Projected Future Conditions, Sea Level Rise (OR/CA Coast)

Data Source: Global and Regional Sea Level Rise Scenarios for the United States

Organization: National Oceanic and Atmospheric Administration (NOAA)

Spatial Extent: Oregon & Northern California State Coastline

Spatial Resolution: 1-degree grid (equivalent to roughly 50-70 miles)

Description: This dataset provides a set of sea level rise (SLR) projections for six global sea level rise scenarios (Low, Intermediate Low, Intermediate, Intermediate High, High, and Extreme) for each decade 2010- 2100 (Sweet et al. 2017). Relative SLR (RSLR) projections, which give the change in sea level relative to land, are available for about 20 locations along the coasts of Oregon and California.

Link:Sea Level Rise Viewer

Data Website:Download

Data Citation:
Sweet, W.V., R.E. Kopp, C.P. Weaver, J. Obeysekera, R.M. Horton, E.R. Thieler, and C. Zervas, 2017: Global and Regional Sea Level Rise Scenarios for the United States. NOAA Technical Report NOS CO-OPS 083. NOAA/NOS Center for Operational Oceanographic Products and Services. PDF