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UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
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The National and Regional Climate Adaptation Science Centers (CASCs) work with natural and cultural resource managers to gather the scientific information and build the tools needed to help fish, wildlife and ecosystems adapt to the impacts of climate change. The Northwest Climate Adaptation Science Center (NW CASC) is one of nine regional CASCs, managed by the National CASC. The NW CASC is hosted by the University of Washington with Boise State University, University of Montana, Washington State University, and Western Washington University as consortium members. To learn more about the NW CASC, please visit: www.usgs.gov/casc/northwest
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Determining which species, habitats, or ecosystems are most vulnerable to climate change enables resource managers to better set priorities for conservation action. To address the need for information on vulnerability, this research project aimed to leverage the expertise of university partners to inform the North Central Climate Science Center on how to best assess the vulnerability of elements of biodiversity to climate and land use change in order to inform the development and implementation of management options. Outcomes from this activity were expected to include 1) a framework for modeling vegetation type and species response to climate and land use change, 2) an evaluation of existing alternative vegetation...
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The Northwest Climate Conference (formerly called the Pacific Northwest Climate Science Conference) is the premier climate science event for the region, providing a forum for researchers and practitioners to share scientific results and discuss challenges and solutions related to the impacts of climate change on people, natural resources, and infrastructure in the Northwest. Conference participants include policy- and decision-makers, resource managers, and scientists from academia, public agencies, sovereign tribal nations, non-governmental organizations, and the private sector. More information can be found at the conference website: http://pnwclimateconference.org. The Seventh Annual Northwest Climate Conference...
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A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. This dataset consists of five comma-delineated CSV files containing well information: location, lithology, well construction, aquifer, and comments. It is one of three related datasets.
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The goal of this project was to inform implementation of the Greater Yellowstone Coordinating Committee (GYCC) Whitebark Pine (WBP) subcommittee’s “WBP Strategy” based on climate science and ecological forecasting. Project objectives were to: 1. Forecast ecosystem processes and WBP habitat suitability across the Greater Yellowstone Area (GYA) under alternative IPCC future scenarios; 2. Improve understanding of possible response to future climate by analyzing WBP/climate relationships in past millennia; 3. Develop WBP management alternatives; 4. Evaluate the alternatives under IPCC future scenarios in terms of WBP goals, ecosystem services, and costs of implementation; and 5. Draw recommendations for implementation...
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Resource managers, policymakers, and scientists require tools to inform water resource management and planning. Information on hydrologic factors – such as streamflow, snowpack, and soil moisture – is important for understanding and predicting wildfire risk, flood activity, and agricultural and rangeland productivity, among others. Existing tools for modeling hydrologic conditions rely on information on temperature and precipitation. This project sought to evaluate different methods for downscaling global climate models – that is, taking information produced at a global scale and making it useable at a regional scale, in order to produce more accurate projections of temperature and precipitation for the Pacific...
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Germanium (Ge) is an increasingly important element used in critical technologies for communication, defense, and computing. However, Ge is scarce, and there is no United States (U.S.) primary production. Additionally, the environmental behavior of Ge is poorly understood. Germanium does not generally form its own minerals, but is instead recovered as a byproduct of zinc mining or of coal fly ash. It has been deemed critical by the U.S. and globally, and investigations of its geologic concentration, environmental fate and transport, and potential for recovery are crucial for maintaining a sustainable supply. A relevant study site to explore questions of environmental behavior and the potential to recover...
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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...
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Geoscientific collections managed by Tennessee Geological Survey are aggregated in the National Digital Catalog to enhance discovery and use of valuable samples and data for further scientific research. Contact information and material access instructions are provided for the individual collections. Please note that all of the downloadable files are in .csv format, and some use the pipe symbol (|) as the delimeter instead of a comma (,).
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Alaska’s high-latitude, arctic landscape places it at the front lines of environmental change. Factors such as rising temperatures, altered precipitation patterns, and associated shifts in growing degree days, summer season length, extreme heat, and the timing of spring thaw and autumn frost are rapidly changing Alaska’s ecosystems and associated human systems. The ability of Alaska’s land managers and communities to predict these changes will profoundly affect their ability to adapt. The State of Alaska recognizes the scope and magnitude of these changes and has made it a priority to ensure anticipated change is incorporated into local and regional planning. This project will involve collaboration with agency...
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The Northwest Climate Adaptation Science Center (NW CASC) organizes an annual Deep Dive into an emerging climate risk. The NW CASC convenes researchers, practitioners and students to assess the state of knowledge and practice associated with managing that risk. Each Deep Dive aims to facilitate community development of an Actionable Science Agenda that outlines knowledge gaps and research needs and identifies opportunities to advance adaptation by linking science and practice. Deep Dive topics include managing western Washington wildfire risk in a changing climate, managing climate-driven post-fire vegetation transitions, and managing climate change effects on stream drying in the Northwest. To learn more about...
LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification....
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification....
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) is in the process of creating high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:24,000-scale color infrared aerial photos collected in 2000. The photos are being interpreted using a 1-hectare 10% minimum vegetation cover to delineate land cover/land use, percent vegetation cover, tree height, and hydrology regime. The geographic extent of the UMRS is the Mississippi River from Cairo, IL to Minneapolis, MN and the Illinois River from its confluence with the Mississippi near Grafton, IL to Lake Michigan.
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
map background search result map search result map Tennessee Geological Survey Northwest CASC Improving Projections of Hydrology in the Pacific Northwest Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. Science and Forecasting to Inform Implementation of the Greater Yellowstone Coordinating Committee’s Whitebark Pine Management Strategy 2000 UMRS Land Cover Land Use--Pool 08 Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Support for the Seventh Annual Northwest Climate Conference Improving Characterizations of Future Wildfire Risk in Alaska UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 20 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 12 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 15 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Illinois River Starved Rock Pool UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 01 Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon; Well Data NW CASC Deep Dives: Actionable Science Agendas for Emerging Climate Risks Applying Climate Change Modeling to Selected Key Factors in Ecosystem Health and Adaptation in Alaska Geochemical, mineralogical, and molecular scale speciation characterization of mine wastes from the Tar Creek Superfund Site, Tri-State Mining District, Oklahoma, U.S.A. Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 01 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 15 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Illinois River Starved Rock Pool UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 12 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon; Well Data Geochemical, mineralogical, and molecular scale speciation characterization of mine wastes from the Tar Creek Superfund Site, Tri-State Mining District, Oklahoma, U.S.A. Tennessee Geological Survey Northwest CASC NW CASC Deep Dives: Actionable Science Agendas for Emerging Climate Risks Support for the Seventh Annual Northwest Climate Conference Improving Projections of Hydrology in the Pacific Northwest Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. Science and Forecasting to Inform Implementation of the Greater Yellowstone Coordinating Committee’s Whitebark Pine Management Strategy Improving Characterizations of Future Wildfire Risk in Alaska Applying Climate Change Modeling to Selected Key Factors in Ecosystem Health and Adaptation in Alaska