Filters: Tags: DataBasin (X)
131 results (14ms)|
Filters
|
Average monthly maximum temperature for the years 2070-2099.
These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
River lamprey (Lampetra ayresi) status data created for the Western Division of the American Fisheries Society (WDAFS)
This dataset depicts the Difference for Average Summer Temperature for Jul-Sep for 2045-2060 compared to 1968-1999 for ECHAM5. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET...
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).
This dataset represents the probable original (prior to European settlement) distribution of the coastal temperate rain forest of western North America. Excerpt from "The Rain Forests of Home: An Atlas of People and Place. Part 1: Natural Forests and Native Languages of the Coastal Temperate Rainforest" (p. 11): Different methods were used throughout the range of coastal temperate rain forest to delineate probable original extent, depending on information availability. For British Columbia, the coastal western hemlock zone from the Ministry of Forest's biogeoclimatic zone classification was used to determine the temperate rain forest zone. The coast redwood zone was also mapped, based on a data layer of vegetation...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
Percent change in average soil carbon for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. Data for the study site were simulated by the MC1 model under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. C_SOMyr: Soil carbon, in g m-2., was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
Climate data (Average Summer Temperature for Jul-Sep for 1968-1999) were created by PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) on a 2.5 arc-minute lat-lon grid. They are based on historical observations from 1968-1999. We created mean monthly climatologies for that period from the PRISM data, and reprojected the results to the BLM Albers 4km grid. We used these results as a historical baseline climate to de-bias RegCM3 projections. We also compiled annual and seasonal summaries of precipitation and temperature from the PRISM data to allow for simple comparisons with other climatologies.
This dataset represents the predicted distribution for Redwood (Sequoia sempervirens) for the years 2010s (ten year period average), based on the agreement of 2 or more out of 5 niche modeling techniques (Climate Space Model, Envelope Score, Environmental Distance, GARP, and SVM) and monthly precipitation and average temperature from 12 GCMs from the A2 emission scenario. Localities used to produce the model were resampled from the known current distribution, data provided by Save the Redwood League (http://www.savetheredwoods.org/).
WorldClim is a set of global climate layers (climate grids) with a spatial resolution of a square kilometer. They can be used for mapping and spatial modeling in a GIS or other computer programs. The data layers were generated through interpolation of average monthly climate data from weather stations. Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic (http://www.worldclim.org/bioclim) variables.
Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
Simulated percent change in the average annual amount of water contributed to the stream network for each watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Mean streamflow (stormflow + baseflow + runoff) was determined for each watershed by averaging values of original ~ 4 km raster data, and percent change was calculated as (STREAMFLOW(2071-2100) minus STREAMFLOW(1971-2000)) divided by STREAMFLOW(1971-2000). Data are from MC1 version B60. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the...
This dataset corresponds to statistically downscaled and reprojected GCM-driven RegCM3 (regional climate model) future projections. Data were bias corrected using the delta/anomaly method whereby the difference between future and historical projections from RegCM3 were calculated, reprojected and downscaled using linear interpolation to then modify a PRISM model generated historical baseline (1968-1999).
This dataset depicts the anomaly for Average Seasonal Precipitation for Jan-Mar for 2015-2030 compared to 1968-1999 for ECHAM5. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP...
Simulated Leaf Area Index by the biogeography model MAPSS using S. Hostetler's (USGS) climate data (detailed information available at http://regclim.coas.oregonstate.edu/domains.html), created using RegCM3 with GENMOM boundary conditions. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well...
This dataset depicts total hectares of surveyed forest insect and disease damage summarized by 5th level watershed for each year between 1989 and 2007. Forest insect and disease survey data were obtained from the Alaska Forest Health Monitoring Clearinghouse. The insect and disease survey is conducted annually, and covers roughly 25% of the state each year, with special emphasis on high priority areas for trend monitoring. DRAFT watershed boundaries were obtained from the USGS. These watersheds are currently undergoing quality control and review; some watershed boundaries were unavailable at the time that this dataset was created. Due to incomplete coverage of the state during each year, this dataset should not...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through...
|
|
