Filters: Tags: {"type":"Drought, Fire and Extreme Weather"} (X) > partyWithName: U.S. Geological Survey (X)

Filters Date Range Past year (1) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (3) Budget (1) Expando (1) Project (1) Types Map Service (4) Citation (3) Downloadable (3) GeoTIFF (3) Raster (3) More... Contacts U.S. Geological Survey - ScienceBase Esther D Stroh Forest and Rangeland Ecosystem Science Center GS-B-FRESC Outreach Matthew A Struckhoff More... Categories Data (6) Data Release - Revised (1) Project (1) Tag Schemes https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (13) Tags (with Type=Drought, Fire and Extreme Weather ) drought (7) fire (6) View Results as: JSON ATOM CSV

Stream Temperature Data in the Little Blitzen watershed of SE Oregon, 2009-15 This dataset includes stream temperatures from two data loggers installed at one site in the Little Blitzen River of SE Oregon as part of a redband trout (Oncorhynchus mykiss gairdnerii) study. The site was used as an undisturbed reference in comparison with similar temperature monitoring sites in the Willow-Whitehorse watershed that experienced a 2012 fire that burned nearly the entire watershed. Categories: Data; Types: Citation; Tags: Drought, Drought, Fire and Extreme Weather, GNIS ID 1123136, Harney County, Little Blitzen River, All tags... National CASC, Oregon, Rivers, Streams and Lakes, Steens Mountain, Stream / River, Stream temperature, USGS, Water, Coasts and Ice, Watershed, inlandWaters, water temperature, Fewer tags Source code used in support of "Spatial and temporal variability in the effects of wildfire and drought on thermal habitat for a desert trout" Categories: Data; Tags: Drought, Drought, Fire and Extreme Weather, National CASC, Rivers, Streams and Lakes, Water, Coasts and Ice Reference period and projected environmental suitability scores These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Stream temperature data from Willow-Whitehorse and Little Blitzen watersheds, southeast Oregon, 2011-2015 Types: Citation; Tags: Aquatic Biology, Drought, Drought, Fire and Extreme Weather, Ecology, GNIS ID 1129010, All tags... GNIS ID 1129139, Harney County, Malheur County, National CASC, Oregon, Rivers, Streams and Lakes, Stream / River, Stream temperature, Trout Creek Mountains, USGS, USGS Science Data Catalog (SDC), Water Resources, Water, Coasts and Ice, Watershed, Whitehorse Creek, Wildlife Biology, Willow Creek, inlandWaters, water temperature, Fewer tags Streamflow Permanence Probability (SPP) rasters (PROSPER) Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides predictions of annual streamflow permanence probabilities at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions... Tags: Data Visualization & Tools, Data Visualization & Tools, Drought, Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, All tags... Idaho, Montana, NHD Region 17, Nevada, Northwest CASC, Oregon, Pacific Northwest, Rivers, Streams and Lakes, Science Tools For Managers, Science Tools For Managers, Utah, Washington, Water, Coasts and Ice, Water, Coasts and Ice, Wyoming, inlandWaters, streamflow, Fewer tags Streamflow Permanence Class (SPC) rasters (PROSPER) Streamflow Permanence Class (SPC) rasters represent the classification of the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model into categorical wet and dry classes, annually for years 2004 through 2016, and overall mean. Raw probabilities were classified into a -5 (dry) to +5 (wet) scale based on the spatially variable threshold (i.e., value that predicts the wet/dry break point) and confidence interval rasters. In general, the farther a raw probability value is from the threshold value for a given pixel, the farther the categorical value is from zero for that pixel. For example, a raw probability that is less than the threshold value minus the critical... Tags: Data Visualization & Tools, Data Visualization & Tools, Drought, Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, All tags... Idaho, Montana, NHD Region 17, Nevada, Northwest CASC, Oregon, Pacific Northwest, Rivers, Streams and Lakes, Science Tools For Managers, Science Tools For Managers, Utah, Washington, Water, Coasts and Ice, Water, Coasts and Ice, Wyoming, inlandWaters, streamflow, Fewer tags Reference period and projected environmental suitability scores-Oaks These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags The Vulnerability of Forests to Climate Change and Wildfire in the Southwestern U.S. Fire in the western U.S. poses one of the greatest threats to human and ecological communities alike. In fact, fire management is the largest single expenditure of land management funds on federal lands. Now, climate change is altering wildfire patterns. Climate change in the West is creating warmer and drier conditions, resulting in an increase in the amount of dead vegetation available to fuel fires. This project sought to assess the vulnerability of forests in the southwestern U.S. to climate change and wildfire, in order to understand how these ecosystems might become altered as a result. Researchers (a) examined how climate change impacts wildfires in the region, to better understand fire risk; (b) identified... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, CA, CASC, CO, Completed, All tags... Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Federal, Fire, Fire, Forests, Forests, Landscapes, Landscapes, NM, NV, OR, Plants, Plants, Projects by Region, Southwest, Southwest, Southwest CASC, Southwest US, UT, Wildlife and Plants, Wildlife and Plants, adaptive capacity, assessment, climate change, connectivity, ecosystem, ensemble, exposure, fire, forests, forests, management, model, multiple, prism, sensitivity, trees, vegetation, vulnerability, vulnerability assessment, wildfire, woodlands, woodlands, Fewer tags Reference period and projected environmental suitability scores-Mesquite These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Pinyon-Juniper These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Fire and climate suitability for woody vegetation communities in south central United States-Data Three .csv files contain occurrence points (longitude and latitude) for three woody vegetation communities found in Texas, Oklahoma and New Mexico. Points were extracted from publicly available LANDFIRE Environmental Site Potential 30 m raster downgraded to 1 km using a majority classification algorithm. The three communities are an oak type (dominated by Quercus stellata and Q. marilandica), a mesquite type (dominated by Prosopis glandulosa and P. velutina), and a pinyon-juniper type (dominated by Pinus edulis and Juniperus osteosperma). The 21 rasters contain environmental suitability scores for each of the three communities, generated with MAXENT freeware using historic and projected climate and fire probability... Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Site Potential, Environmental Suitability Models, Fire, All tags... LANDFIRE, MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Type localities, Wildlife and Plants, Fewer tags Stream Temperature Data in the Willow-Whitehorse watershed of SE Oregon, 2011-15 This dataset includes stream temperatures from a network of 100 data loggers that was installed throughout the Willow-Whitehorse watershed of SE Oregon in September 2014, as well as 10 additional sites that were installed in 2011 and 2012, before and after a 2012 fire that burned nearly the entire watershed. Data loggers were downloaded in August 2015. A spatial data layer contains the site locations and associated information about the sites, along with summary temperature information and a comparison to modeled stream temperatures (NorWeST). Categories: Data; Types: Citation; Tags: Drought, Drought, Fire and Extreme Weather, GNIS ID 1129010, GNIS ID 1129139, Harney County, All tags... Malheur County, National CASC, Oregon, Rivers, Streams and Lakes, Stream / River, Stream temperature, Trout Creek Mountains, USGS, Water, Coasts and Ice, Watershed, Whitehorse Creek, Willow Creek, inlandWaters, water temperature, Fewer tags Probability of Streamflow Permanence (PROSPER) Model Output Layers The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National... Categories: Data Release - Revised; Tags: Climatology, Data Visualization & Tools, Data Visualization & Tools, Drought, Drought, Fire and Extreme Weather, All tags... Drought, Fire and Extreme Weather, Hydrogeology, Idaho, Montana, NHD Region 17, Nevada, Northwest CASC, Oregon, Pacific Northwest, Rivers, Streams and Lakes, Science Tools For Managers, Science Tools For Managers, USGS Science Data Catalog (SDC), Utah, Washington, Water Resources, Water, Coasts and Ice, Water, Coasts and Ice, Wyoming, inlandWaters, streamflow, Fewer tags