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Vegetation and land-cover changes are not always directional but follow complex trajectories over space and time, driven by changing anthropogenic and abiotic conditions. We present a multi-observational approach to land-change analysis that addresses the complex geographic and temporal variability of vegetation changes related to climate and land use. Using land-ownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. In contrast to many reported vegetation...
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Food, Fuel, and Materials category in this web service includes layers illustrating the ecosystems and natural resources that provide or support the production of food, fuel, or other materials, the need or demand for these items, the impacts associated with their presence and accessibility, and factors that place stress on the natural environment's capability to provide these benefits. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...
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In Alaska, recent research has identified particular areas of the state where both a lack of soil moisture and warming temperatures increase the likelihood of wildfire. While this is an important finding, this previous research did not take into account the important role that melting snow, ice, and frozen ground (permafrost) play in replenshing soil moisture in the spring and summer months. This project will address this gap in the characterization of fire risk using the newly developed monthly water balance model (MWBM). The MWBM takes into account rain, snow, snowmelt, glacier ice melt, and the permafrost layer to better calculate soil moisture replenishment and the amount of moisture that is lost to the atmosphere...
We have completed an array of high-resolution simulations of present and future climate over Western North America (WNA) and Eastern North America (ENA) by dynamically downscaling global climate simulations using a regional climate model, RegCM3. The simulations are intended to provide long time series of internally consistent surface and atmospheric variables for use in climate-related research. In addition to providing high-resolution weather and climate data for the past, present, and future, we have developed an integrated data flow and methodology for processing, summarizing, viewing, and delivering the climate datasets to a wide range of potential users. Our simulations were run over 50- and 15-kilometer model...
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This data set presents attributes of floodplain ecosystem characteristics including floodplain soil denitrification, floodplain soil biogeochemistry, floodplain vegetation, floodplain sedimentation, floodplain and channel morphometry, stream discharge and water quality, floodplain climate, floodplain physiographic region, and catchment land cover. Attributes are associated with 18 floodplains of the Chesapeake Bay watershed. For many of these attributes, mean values are summaries of multiple measurements made within each floodplain site.
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Climate grids for the extent of the GNLCC study area saved as asciis with a 2km resolution. These grids are saved in in the Albers Equal Area Conic projection. Summer is defined as months 7-9, while winter is defined as months 1-3. All grids with the exception of cmi.asc, dd5.asc, & growingsl.asc were produced in the program ClimateWNA, which downscales PRISM climate grids using a digital elevation model. Mean annual precipitation (mm) - aprec.asc Annual Climate moisture index (cm/year) - cmi.asc Degree-days > 5°C - dd5.asc Growing season length - growingsl.asc Isothermality (°C) - isotherm.asc Mean annual temperature (°C) - mat.asc Maximum temperature warmest month (°C) - maxtw.asc Minimum temperature coldest...
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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...
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Annual precipitation (mm) averaged over 1986 – 2005, simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) at a 4 km x 4 km spatial resolution using PRISM climate for the historical period. This effort is part of a pilot project to apply and evaluate the Yale Framework (Yale Science Panel for Integrating Climate Adaptation and Landscape Conservation Planning). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model).
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Winter (January – March) precipitation (mm) averaged over 2046-2065 from the general circulation model Hadley CM3 (Gordon et al. 2000, Pope et al. 2000) downscaled to a grid cell size of 10 km x 10km. References: Gordon C., C. Cooper , C.A. Senior, H. Banks, J.M. Gregory, T.C. Johns , J.F.B. Mitchell, and R.A. Wood. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168. Pope, V.D., M.L. Gallani, P.R. Rowntree, and R.A. Stratton. 2000. The impact of new physical parameterisations in the Hadley Centre climate model – HadAM3. Clim Dyn 16:123–146.
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Future (2046-2065) predicted probability of fisher year-round occurrence projected under the A1fi emissions scenario with the Hadley CM3 GCM model (Gordon et al. 2000, Pope et al. 2000). Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of...
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Description: Predicted probability of fisher year-round occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated with MC1 (Hayhoe et al. 2004) and climate variables were provided by the PRISM GROUP (Daly et al. 1994). This...
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Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan 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...
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Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan 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...
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Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan 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...
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Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan 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...
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Soil residual water corresponds to the model variable "total streamflow." In the model Mc1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), Water leached in the subsoil (baseflow) and also includes runoff. the output is prsented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan 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....
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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. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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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. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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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. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3


map background search result map search result map Simulated runoff under MIROC 3.2 medres A2 (2070-2099 average) in nillimeters for the Pacific Northwest, USA Great northern landscape conservation cooperative climate grids Mean annual precipitation, 1986 – 2005, 4 km resolution Mean winter (January – March) precipitation, 2046-2065, Hadley CM3 A1fi, 10 km resolution Predicted probability of fisher year-round occurrence, 2046-2065, Hadley CM3 A1fi, 10 km resolution Predicted probability of fisher year-round occurrence, 1986-2005, Hadley CM3 A1fi, 10 km resolution West Indian mahogany (Swietenia mahagoni) extent, North America Jack pine (Pinus banksiana) extent, North America Brewer spruce (Picea breweriana) extent, North America Total soil residual water simulated under MIROC 3.2 medres A2 in cm for October for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under MIROC 3.2 medres A2 in cm for August for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under MIROC 3.2 medres A2 in cm for April for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under Hadley CM3 A2 in cm for August for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under CSIRO MK3 A2 in cm for June for the Pacific Northwest, USA (2070-2099 average) Historical and Contemporary Geographic Data Reveal Complex Spatial and Temporal Responses of Vegetation to Climate and Land Stewardship EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States Improving Characterizations of Future Wildfire Risk in Alaska Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 Historical and Contemporary Geographic Data Reveal Complex Spatial and Temporal Responses of Vegetation to Climate and Land Stewardship Brewer spruce (Picea breweriana) extent, North America Data on denitrification and ecological characteristics of nontidal floodplains, Chesapeake Bay watershed, USA, 2013-2016 West Indian mahogany (Swietenia mahagoni) extent, North America Simulated runoff under MIROC 3.2 medres A2 (2070-2099 average) in nillimeters for the Pacific Northwest, USA Total soil residual water simulated under MIROC 3.2 medres A2 in cm for October for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under MIROC 3.2 medres A2 in cm for August for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under MIROC 3.2 medres A2 in cm for April for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under Hadley CM3 A2 in cm for August for the Pacific Northwest, USA (2070-2099 average) Total soil residual water simulated under CSIRO MK3 A2 in cm for June for the Pacific Northwest, USA (2070-2099 average) Mean annual precipitation, 1986 – 2005, 4 km resolution Mean winter (January – March) precipitation, 2046-2065, Hadley CM3 A1fi, 10 km resolution Predicted probability of fisher year-round occurrence, 2046-2065, Hadley CM3 A1fi, 10 km resolution Predicted probability of fisher year-round occurrence, 1986-2005, Hadley CM3 A1fi, 10 km resolution Great northern landscape conservation cooperative climate grids Improving Characterizations of Future Wildfire Risk in Alaska Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max Jack pine (Pinus banksiana) extent, North America EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States