Skip to main content
USGS - science for a changing world
Advanced Search

Filters: Tags: climate change (X)

4,953 results (20ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
The dataset summarizes total area (km2) and proportion of Central Valley waterbird habitat, summed across individual waterbird habitats (i.e., wetland and cropland types), that was available for each of 17 projected scenarios. The dataset also includes relatively recent (year 2005) area of existing habitat (i.e., “existing area”) for comparison with areas based on scenarios. Analysis was conducted for the projection period including water-years 2006–2099 (water-year defined as October-December and January–September of the following year). Because habitat areas vary through the season with timing of crop harvest and flooding of wetlands and post-harvested fields, annual areas and proportions represent summation...
thumbnail
This metadata record describes the materials contained in stake folder 696. Stake 696 is located at latitude 36.39889, longitude -112.63056. This location was photographed in the following years: 1872, 1968 and 1972. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat...
thumbnail
This metadata record describes the materials contained in stake folder 713. Stake 713 is located at latitude 36.42478, longitude -112.63036. This location was photographed in the following years: 1872 and 1968. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat date...
thumbnail
This metadata record describes the materials contained in stake folder 2595. Stake 2595 is located at latitude 36.392, longitude -112.629. This location was photographed in the following years: 1942 and 1993. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat date (e.g.,...
thumbnail
This metadata record describes the materials contained in stake folder 1506. Stake 1506 is located at latitude 36.38585, longitude -112.63963. This location was photographed in the following years: 1909 (no physical image) and 1990. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials...
thumbnail
This package contains 13 polygon layers representing baseline and predicted future climate niches (2050s & 2080s) of Northern Spotted Owl (Strix occidentalis caurina). The modeling algorithm Maxent and the Worldclim predictor set have been used to compute niche projections under two emission scenarios (A1B & A2A) based on three general circulation models (CSIRO, CCCMA & HADCM3). The shapefiles are derived from gridded model outputs with a grid cell resolution of 30 arc-seconds.
thumbnail
Ken Ferschweiler (CBI) used climate data from the PRISM group (Chris Daly, Oregon State University) at 4kmx4km spatial grain across the conterminous USA to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling and created anomalies from the Hadley CM3 General Circulation Model (GCM) run through the A2 emission scenario (SRES - special report on emission scenarios published in 2000). To run the MAPSS model (Neilson 1995), average monthly precipitation values were calculated for the period 2045-2060. This dataset shows the standard deviation of the annual precipitation for that period.
thumbnail
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).
thumbnail
This dataset shows the locations of forest dieback documented in the 2010 paper: Allen , C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N, Vennetier, M , Kitzberger, T, Rigling, A, Breshears, D. D., Hogg, E.H., Gonzalez, P., Fensham, R., Zhang, Z. , Castro, J, Demidova, N., Lim, J. H., Allard, G., Running, S. W., Semerci, A., Cobb, N. 2010. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 259(4): 660-684
thumbnail
The polygon represents the extent of inundation due to Mean Higher High Water (MHHW) under current conditions (year 2000) based on NOAA tide stations tide elevation data.
thumbnail
Grid reflects the estimated frequency of severe thermal stress (NOAA Bleaching Alert Level 2) for decade 2030. Values are a percent (as integer) of the decade in which the grid cell would experience severe thermal stress under an IPCC "business-as-usual" emissions scenario. The specific indicator used in the model was the frequency (number of years in the decade) that the bleaching threshold is reached at least once. Frequencies were adjusted to account for historical sea surface temperature variability. Values range from 0 to 100. See the Reefs at Risk Revisited report and technical notes for more information.
thumbnail
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
thumbnail
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
thumbnail
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
thumbnail
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
thumbnail
This dataset represents presence of Jack Pine (Pinus banksiana) in Minnesota (USA) at year 50 (2045) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
thumbnail
This dataset represents presence of Sugar Maple (Acer saccharum) in Minnesota (USA) at year 0 (2145) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
thumbnail
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).
thumbnail
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).
thumbnail
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).


map background search result map search result map Baseline and predicted future climate niches of Northern Spotted Owl (Strix occidentalis caurina) based on three general circulation models and two emission scenarios Standard Deviation of Annual Precipitation (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) 4KM Results: Bias-corrected Average Annual Temperature (2045- 2060) from GFDL-driven RegCM3 climate model (Western US) Global forest die-off Mean Higher High Water, 2000, California, USA Estimated Frequency of Severe Thermal Stress in the 2030s under an IPCC business-as-usual emissions scenario Pacific Northwest sea-level rise modelling - Habitat classification for site four (2075, A1B mean scenario) Pacific Northwest sea-level rise modelling - Habitat classification for site four (2025, 1 meter rise scenario) Pacific Northwest sea-level rise modelling - Habitat classification for site two (1977) Pacific Northwest sea-level rise modelling - Habitat classification for site one (2050, 1 meter rise scenario) Minnesota (USA) Climate Change Project: Jack Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Sugar Maple at Year 150 (2145), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Projected (2070-2099) mean monthly temperature (degrees C) under Miroc B1 for western Oregon and Washington (USA) Projected (2070-2099) mean monthly temperature (degrees C) under Hadley B1 for western Oregon and Washington (USA) Projected (2070-2099) mean monthly temperature (degrees C) under Hadley A2 for western Oregon and Washington (USA) USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 1506 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 2595 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0696 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0713 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 1506 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 2595 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0696 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0713 Pacific Northwest sea-level rise modelling - Habitat classification for site four (2075, A1B mean scenario) Pacific Northwest sea-level rise modelling - Habitat classification for site four (2025, 1 meter rise scenario) Pacific Northwest sea-level rise modelling - Habitat classification for site one (2050, 1 meter rise scenario) Pacific Northwest sea-level rise modelling - Habitat classification for site two (1977) Minnesota (USA) Climate Change Project: Sugar Maple at Year 150 (2145), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Jack Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Projected (2070-2099) mean monthly temperature (degrees C) under Miroc B1 for western Oregon and Washington (USA) Projected (2070-2099) mean monthly temperature (degrees C) under Hadley B1 for western Oregon and Washington (USA) Projected (2070-2099) mean monthly temperature (degrees C) under Hadley A2 for western Oregon and Washington (USA) Mean Higher High Water, 2000, California, USA Standard Deviation of Annual Precipitation (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) 4KM Results: Bias-corrected Average Annual Temperature (2045- 2060) from GFDL-driven RegCM3 climate model (Western US) Baseline and predicted future climate niches of Northern Spotted Owl (Strix occidentalis caurina) based on three general circulation models and two emission scenarios Estimated Frequency of Severe Thermal Stress in the 2030s under an IPCC business-as-usual emissions scenario Global forest die-off