10.5065/D6WD3XMH
Punt, A.
http://orcid.org/0000-0001-8489-2488
University of Washington
Holsman, K.
NOAA
Ianelli, J.
http://orcid.org/0000-0002-7170-8677
NOAA
Moffitt, E.
University of Washington
Management Strategy Evaluation: Hindcast Model Output, 1979-2012. Version 1.0
UCAR/NCAR - Earth Observing Laboratory
2015
scientific data
biota
environment
oceans
Models/Analyses
Oceanography
Biology
Models
Models/Analyses > > MODELS > > 26d3953e-be79-46e4-b746-efb1983c3f5c
Computer
In Situ/Laboratory Instruments > Data Analysis > Environmental Modeling > > Computer > Computer > 91294ff2-2621-4976-98c7-b159a056d6f9
EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH
EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS
EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > FOOD-WEB DYNAMICS
Bering Sea
BSIERP
Bering Sea Integrated Ecosystem Research Program
University Corporation For Atmospheric Research (UCAR):National Center for Atmospheric Research (NCAR):Earth Observing Laboratory (EOL):Data Managment and Services (DMS)
Punt, Andre, aepunt@u.washington.edu
http://orcid.org/0000-0001-8489-2488
University of Washington
Punt, Andre, aepunt@u.washington.edu
http://orcid.org/0000-0001-8489-2488
University of Washington
1979-01-01T00:00:00Z/2012-12-31T23:59:59Z
2015-04-20T22:47:02Z
en
245.B73-001
https://data.eol.ucar.edu/file/download/51D4B427F96B9/B73_Hindcast_output.html
https://data.eol.ucar.edu/file/download/51D4B4280659E/BSIERP-BEST_models_MSE_B73.pdf
https://www.eol.ucar.edu/content/data-policy-1
https://www.eol.ucar.edu/field_projects/bsierp
5 data files
2 ancillary/documentation files
396 KiB
XML: Extensible Markup Language (application/xml)
ZIP: PKZIP (application/zip)
XLS: Excel (application/vnd.ms-excel)
CSV: Comma Separated Value (text/csv)
1.0
These data are available to be used subject to the University Corporation for Atmospheric Research ("UCAR") terms and conditions.
This dataset contains Annual estimated results from Climate-Enhanced Age-based model with Temperature-specific Trophic Linkages and Energetics (CEATTLE) model and individual age-structured models for hindcast period 1979-2012. Four climate scenarios are considered for MSMtA and MSMtB because temperature influences weight-at-age and the predation mortality function in MSMt. Forecasts were based on downscaled temperature data forced ROMS model (Herman et al. 2013). The ROMS-NPZD model (Hermann et al. 2013) was set-up to run in forecast mode using input from selected Intergovernmental Panel on Climate Change climate models that performed well for the Eastern Bering Sea. The four scenarios are: Future temperature is constant and equal to the mean of historical temperatures (temperature scenario 1), and future temperature in each projection year is the mean summer water column temperature predicted from a ROMS model for the Bering Sea forced by three statistically downscaled global climate models based on the IPCC A1B climate scenario (Wang et al., 2010), including: (temperature scenario 2) ECHO-G version 4, T30 resolution model (Legutke and Voss, 1999), (temperature scenario 3) CCMA model (Canadian Centre for Climate Modelling and Analysis CGCM3-t47; Flato et al., 2000, Flato and Boer 2001, Kim et al. 2002, 2003), (temperature scenario 4) MIROC 3.2 (Watanabe et al., 2011, K-1 model developers, 2004). Average temperature was extracted from these simulations to use as input forcing files in CEATTLE. A single realization of each of these three climate scenarios was used for atmospheric forcing and oceanic boundary conditions for the regional ROMS forecasts of the Bering Sea (present to 2040).
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