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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
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These daily gridded observations at 1/8 degree spatial resolution (about 12 km) are a baseline dataset to be compered to downscaled climate predictions. The grid used is the same as has been used by other 1/8th degree spatial resolution downscaling projects. Before using this dataset, please review the material summarized here: https://my.usgs.gov/confluence/display/GeoDataPortal/2014/04/16/Notice%3A+Evaluation+of+Maurer+gridded+observational+datasets+and+their+impacts+on+downscaled+products
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
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This archive contains daily statistically downscaled climate projections for the United States and southern Canada east of the Rocky Mountains at 0.1 degree resolution. Further documentation is available here: http://djlorenz.github.io/downscaling2/main.html The downscaled variables are daily precipitation, daily maximum temperature and daily minimum temperature. The downscaling is based on 13 models from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4).
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This dataset represents the results (9/30/2008) of the Northeastern Aquatic Habitat Classification System (NAHCS) GIS map for streams and rivers. This classification focused on mapping a stream habitat types across 13 northeastern states (ME, NH, VT, MA, CT, RI, NY, NJ, PA, MD, DC, DE, VA, WV). Stream and river centerlines were extracted from the USGS National Hydrography Dataset Plus (NH-Plus) 2006 1:100,000 data. These reaches were attributed and placed into classes representing their biopysical setting in terms of stream size, gradient, and geology, and expected natural water temperature regime. Please see the attribute descriptions for more information on the variable thresholds and the summary taxonomy.
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A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Roads, development, dams, and other structures create resistance that interrupts or redirects movement and, therefore, lowers the permeability. Maintaining a connected landscape is the most widely cited strategy in the scientific literature for building resilience and has been suggested as an explanation for why there were few extinctions during the last period of comparable rapid climate change. This metric is an important component of resilience because it indicates whether a process is likely to be disrupted or how much access a species has to the micro-climates within its given neighborhood. ...
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A climate-resilient conservation portfolio includes sites representative of all geophysical settings selected for their landscape diversity and local connectedness. We developed methods to identify such a portfolio. First, we mapped geophysical settings across the entire study area. Second, within each geophysical setting we located sites with diverse topography that were highly connected by natural cover. Third, we compared the identified sites with the current network of conservation lands and with The Nature Conservancy’s (TNC’s) portfolio of important biodiversity sites identified based on rare species and natural community locations.Using this information we noted geophysical settings that were underrepresented...
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**Symbology has been adjusted by the Open Space Institute from The Nature Conservancy's original "Geophysical Settings, 2016 Eastern U.S. and Canada" dataset.** The geophysical settings are defined by their physical properties – geology, soil, and elevation - that correspond to differences in the flora and fauna they support. They also differ in ecological character, in their value for agriculture or mining, and how they have been developed by people. For example, the region’s high granite mountains are both largely intact and topographically complex, whereas low coastal sandplains are both more fragmented and relatively flat. The geophyical settings classification enabled us to compare resilience characteristics...
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TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2) estimated for a free water surface (FWS) and (3) estimated for an FWS for the entire year. A map is presented of the coefficients to convert from pan evaporation to FWS evaporation. Sources of data, analyses of the maps, and limitation on their use are described. TR-34: This publication is a compilation of monthly, seasonal, and annual averages of estimated pan evaporation based on observations from Class A pans and on meteorological measurements by the National Weather Service (NWS) and cooperating agencies. It replace Technical Paper No. 13 (U.S....
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The TopoWx ('Topography Weather') dataset contains historical 30-arcsec resolution (~800-m) interpolations of daily minimum and maximum topoclimatic air temperature for the conterminous U.S. Using both DEM-based variables and MODIS land skin temperature as predictors of air temperature, interpolation procedures include moving window regression kriging and geographically weighted regression. To avoid artificial climate trends, all input station data are homogenized using the GHCN/USHCN Pairwise Homogenization Algorithm (http://www.ncdc.noaa.gov/oa/climate/research/ushcn/#phas). The interpolation model is open source and information on obtaining model code can be found at http://www.ntsg.umt.edu/project/TopoWx. The...
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This dataset offers hourly estimates of radar indicated rain gage corrected precipitation at a roughly 4km spatial resolution. Mosaicked into a national product at NCEP, from the regional hourly multi-sensor (radar+gauges) precipitation analyses produced by the 12 River Forecast Centers over CONUS. Some manual QC done at the RFCs. The Stage II/IV job is run at 33min past the top of each hour. Hourly Stage IV is re-made hourly (if there is new input after valid time for the next 23 hours, then again at 1/3/5/7 days after valid time. These data have been aggregated into this service by the USGS and are downloaded and incorporated into the archive every 30 minutes. The original Hydrologic Rainfall Analysis Projection...
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Landscape conservation design is an opportunity for the U.S. Fish and Wildlife Service’s National Wildlife Refuge System (NWRS) to work collaboratively with partners to develop and implement a landscape approach that ensures our priority resources will have the capacity to cope with and respond to future change. This research models patterns of climate connectivity to map linkages among protected areas that promote long-term landscape connectivity across Alaska and northwest Canada under projected climate change. Using spatial data on current land use and climate patterns, and circuit theory-based connectivity modeling approaches, this research identifies corridors that follow climate gradients and avoid human modified...
Categories: Data, Project; Types: ArcGIS Map Package, Downloadable; Tags: Academics & scientific researchers, Academics & scientific researchers, Conservation Design, Conservation Design, Conservation NGOs, All tags...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset represents the local conductance index, which is a measure of the total potential amount of movement of plants and animals (ecological flow) through a cell from neighboring cells as a function of the ecological similarity between the focal cell and neighboring cells at the scale of one...
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To create a wall-to-wall surface of landscape permeability we used the software CIRCUITSCAPE (McRae and Shah 2009), an innovative program that models species and population movements as if they were electric current flowing through a landscape of variable resistance. Circuit modeling is conceptually aligned with the concept of landscape permeability because it recognizes that movement through a landscape is affected by a variety of impediments, and it quantifies the degree and the directional outcomes of the compounding effects. One output is a “flow” map that shows the behavior of directional flows and highlights concentration areas and pinch-points.The results can highlight locally and regionally significant places...
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Action areas, represented as lines or polygons, for Cow or Mill Creeks. Action area locations identified through image interpretation using Google Earth imagery dated 8/27/2013 by A.G. Merrill of Stillwater Sciences in March 2015.For more information see Section 6 in: Stillwater Sciences and Aerial Information Systems. 2015. Cow Creek and Mill Creek Riparian mapping and conditions assessment. Prepared by Stillwater Sciences, Berkeley, California and Aerial Information Systems for U.S. Fish and Wildlife Service, Red Bluff, California. Financial Assistance Agreement F10AC00778.
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We created ADAPT to help partners make science-informed decisions related to species and habitat prioritization across the Southwest United States. We used Integrated Nested Laplace Approximation (INLA) to analyze the data at a 1-km resolution. We used climate and land use change data generated from CMIP 6 climate models. Count data were from eBird surveys and converted to presence/absence data for analysis. Our model consisted of fixed effects of elevation, land cover type, and effort with random effects for year and site as well as a spatial random effect. We implemented the effect of relative humidity as a spatially-varying coefficient such that the effect of relative humidity on occupancy can vary at each grid...
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Reclassed areas of just sagebrush (1) and no sagebrush (0, areas with originally no sagebrush or recently burned areas). Landfire codes were: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) This layer is an intermediate layer used to create a sagebrush landscape cover layer using a moving window analysis. See Landfire metadata for an assessment of that data. See WFDSS, GEOMAC and MTBS fire metadata for more information on those data
map background search result map search result map TNC Aquatic Habitat 7 Classes Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Local Conductance, CT River Watershed Cow and Mill Creeks Action Areas or Lines Sagebrush MW5k Percent Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Regional Flow 2016, Eastern U.S. and Canada 12 Digit Hucs for Winter Roost Sites for Northern Long-eared Bats in Eastern North Carolina Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Geophysical Settings, 2016 Eastern U.S. and Canada United States Stage IV Quantitative Precipitation Archive 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Gridded Observed Meteorological Data, 1950-1999 Columbia River Basin Daily MACA-VIC Results Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) At-risk species distribution analyzer for predicting trends Cow and Mill Creeks Action Areas or Lines 12 Digit Hucs for Winter Roost Sites for Northern Long-eared Bats in Eastern North Carolina Local Conductance, CT River Watershed Columbia River Basin Daily MACA-VIC Results TNC Aquatic Habitat 7 Classes Sagebrush MW5k Percent At-risk species distribution analyzer for predicting trends Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Regional Flow 2016, Eastern U.S. and Canada Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States Gridded Observed Meteorological Data, 1950-1999 Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Geophysical Settings, 2016 Eastern U.S. and Canada United States Stage IV Quantitative Precipitation Archive