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For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
GCMs,
NPLCC,
North Pacific Landscape Conservation Cooperative, All tags...
Oregon,
PNW,
Pacific Northwest,
Washington,
climate,
climate change,
projections,
scenarios, Fewer tags
PCIC's Regional Analysis Tool generates maps, plots and data describing projected future climate conditions for the Pacific and Yukon Region. It uses an ensemble of more than 15 Global Climate Model (GCM) and SRES emissions scenario combinations provided by the Intergovernmental Panel on Climate Change (IPCC). The Regional Analysis Tool allows you to: select from a set of predefined regions and generate maps, plots and data pertaining to that region for a specific time horizon (e.g., 2050s, 2080s, etc.) define your own custom region and generate maps, plots, and data pertaining to the area you specify generate maps showing projected changes for a specific region under one or more GCMs, with included grid boxes...
Tags: GCMs,
NPLCC,
North Pacific Landscape Conservation Cooperative,
climate scenarios,
degree days, All tags...
fractional cloud cover,
future climate,
humidity,
precipitation,
sea level pressure,
snow depth,
snow melt,
snowfall,
soil moisture,
solar radiation,
temperature,
time slices, Fewer tags
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington (USA) to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
GCMs,
NPLCC,
North Pacific Landscape Conservation Cooperative, All tags...
Oregon,
PNW,
Pacific Northwest,
Washington,
climate,
climate change,
projections,
scenarios, Fewer tags
ClimateWNA: A program to generate high-resolution climate data for climate change studies and applications in western North America Overview ClimateWNA extracts and downscales PRISM (Daly et al. 2002) monthly data (2.5 x 2.5 arcmin) for the reference period (1961-1990), and calculates seasonal and annual climate variables for specific locations based on latitude, longitude and elevation (optional) for western North America, shown in the map on the right. This program also downscales and integrates historical (1901-2011) (Mitchell and Jones 2005 for 1901-2009) and future climate data (2020s, 2050s and 2080s) generated by various global circulation models. The output includes both directly calculated and derived...
Tags: AK,
AR4,
Alaska,
BC,
British Columbia, All tags...
CA,
California,
Downscaling,
GCMs,
Global Circulation Models,
IPCC Fourth Assessment,
NPLCC,
North Pacific Landscape Conservation Cooperative,
OR,
Oregon,
PCIC,
PRISM,
WA,
Washington,
climate scenarios,
degree-days,
frost free days,
future climate data,
monthly climate,
precip,
precipitation,
seasonal climate variables,
temperature,
tmax,
tmin, Fewer tags
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
GCMs,
NPLCC,
North Pacific Landscape Conservation Cooperative, All tags...
Oregon,
PNW,
Pacific Northwest,
Washington,
climate,
climate change,
projections,
scenarios, Fewer tags
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
GCMs,
NPLCC,
North Pacific Landscape Conservation Cooperative, All tags...
Oregon,
PNW,
Pacific Northwest,
Washington,
climate,
climate change,
projections,
scenarios, Fewer tags
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.
Tags: BC,
British Columbia,
CIG,
Climate Impacts Group,
GCMs, All tags...
NPLCC,
NetCDF,
North Pacific Landscape Conservation Cooperative,
OR,
Oregon,
WA,
Washington,
climate change,
climate projections,
climate scenarios,
cloud fraction,
daily climate data,
dynamical downscaling,
emission scenarios,
evapotranspiration,
humidity,
longwave radiation,
monthly climate data,
precipitation,
solar radiation,
surface pressure,
temperature,
wind speed, Fewer tags
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