Filters: Tags: Climate Projections (X)
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This dataset represents projected spotted owl habitat probability of occupancy for the climate of 2061-2090 based on the mean habitat occupancy predictions from three representative climate projections: lowest warming (GCM GISS_ER with IPCC storyline B1), moderate warming (GCM ECHAM5 SRES with storyline A2), and highest warming (GCM IPSL_CM4 with storyline A2). In Carroll and others (in prep.), we evaluate how a system of reserves can be made resilient to climate change. First, we assess how well the NFP's reserve network currently protects habitat for spotted owl and rare "Survey and Manage" species. Then, we assess how these species will fare under climate change. Our results suggest that the spotted owl acts...
This dataset represents predicted spotted owl habitat probability of occupancy for the current climate. In Carroll and others (in prep.), we evaluate how a system of reserves can be made resilient to climate change. First, we assess how well the NFP's reserve network currently protects habitat for spotted owl and rare "Survey and Manage" species. Then, we assess how these species will fare under climate change. Our results suggest that the spotted owl acts as fairly good "umbrella" species for protecting localized species. We identify additional coarse-scale priority areas for localized species, protection of which would allow achievement of the goals of the Survey and Manage program while reducing the resources...
This dataset represents projected spotted owl habitat probability of occupancy for the climate of 2011-2040 based on the mean habitat occupancy predictions from three representative climate projections: lowest warming (GCM GISS_ER with IPCC storyline B1), moderate warming (GCM ECHAM5 SRES with storyline A2), and highest warming (GCM IPSL_CM4 with storyline A2). In Carroll and others (in prep.), we evaluate how a system of reserves can be made resilient to climate change. First, we assess how well the NFP's reserve network currently protects habitat for spotted owl and rare "Survey and Manage" species. Then, we assess how these species will fare under climate change. Our results suggest that the spotted owl acts...
This final report is for the Pacific Islands-funded project "21st Century High-Resolution Climate Projections for Guam and American Samoa". We provide the projected fine-resolution future climate changes over Guam and American Samoa by the late 21st century (2080-2099) with both a high emissions scenario (RCP8.5) and a medium emission scenario (RCP4.5). We show that the surface air temperature (SAT) over Guam is likely to increase by 1.5 – 2.0 °C for RCP4.5 and by 3.0 – 3.5 °C for RCP8.5, while the projected SAT increases over American Samoa are slightly smaller. The projected annual mean future rainfall changes for Guam are not statistically significant in any location in either the RCP4.5 or RCP8.5 scenarios....
The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: CMIP3,
CMIP3,
CMIP5,
CMIP5,
Downscaled Climate and Hydrologic Response for California and the Great Basin,
The Regional Climate Downloader (RCD) is a web application that can be used to visualize and download climate data. The RCD uses the Web Mapping Service (WMS) that is built into the Thredds Data Server , (see Disclaimer and Terms of Use ) that allows users to map and download monthly average data for over 60 surface variables generated by the Dynamical Downscaling project. The time coverage of these simulations ranges from 1968 to 2100, depending on the region of simulation and the driving GCM. Decadal, monthly and daily data are available for the Dynamical Downscaling project. Other datasets such as CIG are also available from within RCD. Data are available in NetCDF format.
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