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Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Iowa, Kansas, Lower Missouri, Missouri, Nebraska, All tags... Northeast CASC, Other Water, Water, Coasts and Ice, environment, floodplains, floods, inlandWaters, river systems, streamflow AND mathematical modeling, wetland ecosystems, Fewer tags People benefiting from potential new open space in the Southeast United States, large park analysis, half mile distance (2018) Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close (ideally within walking distance) to their homes, and larger open spaces often provide more amenities. To assess the potential benefit of creating new open space in the southeast US, we identified areas without access to open space within a certain distance category (in this case, 0.5 miles). Then, for each 30-meter pixel in the study area, we then totaled the number of people within 0.5 miles who do not currently have access to open space within that distance. This represents the number of people who would benefit from new open... Categories: Data; Tags: Alabama, Arkansas, Data Visualization & Tools, Data and Information Sharing, Florida, All tags... Georgia, Louisiana, Mississippi, Missouri, North Carolina, Science Tools for Managers, South Carolina, Southeast CASC, Tennessee, Virginia, parks, recreation, Fewer tags Conservation Priorities for Open Space Recreation Access in the Southeast United States, by Census Block Group (2018) Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close (ideally within walking distance) to their homes. To assess the spatial distribution of access to open space for recreation in the southeastern United States, we constructed an index of open space access based on the size of the largest publicly accessible open space within 10 miles of each point on the landscape, using three distance categories to represent whether people can reach the open spaces by walking (within 0.5 mile), via a short drive (within 3 miles), or via a longer drive (within 10 miles). Using the open space access... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arkansas, Data Visualization & Tools, Data and Information Sharing, Florida, All tags... Georgia, Louisiana, Mississippi, Missouri, North Carolina, Science Tools for Managers, South Carolina, Southeast CASC, Tennessee, Virginia, parks, recreation, Fewer tags Pollinator-Dependent Crops in the Southeast United States (2011) Wild insect pollination has significant positive effects on pollinator-dependent crop production. To assess the spatial distribution of demand for wild insect pollination, we mapped pollinator-dependent crops based on the 2011Cropland Data Layer. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Arkansas, Data Visualization & Tools, Data and Information Sharing, Florida, All tags... Georgia, Louisiana, Mississippi, Missouri, North Carolina, Science Tools for Managers, South Carolina, Southeast CASC, Tennessee, agricultural sites, environment, farming, natural resource management, pollination, pollinators, remediation, Fewer tags North Central Climate Science Center Five-Year Review Report The American Fisheries Society and the Human Dimensions Research Unit of Cornell University have been engaged by NCCWSC to lead 5-year reviews of the CSCs. The purpose of the CSC review and evaluation is to: 1. Evaluate the effectiveness of each CSC in meeting project goals. 2. Assess the level of scientific contribution and achievement at each CSC with respect to climate modeling, climate change impacts assessments, vulnerability and adaptation of fish, wildlife and their habitats, and collaborative development of adaptation strategies for regional stakeholders, and education and training of graduate and post‐doctoral fellows 3. Evaluate the competencies and efficiencies of each host university in managing... Categories: Publication; Types: Citation; Tags: National CASC, Science Tools for Managers, Social Science Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of... Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3c All lakes historical inputs This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2015 This dataset provides an estimate of 2015 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data with independent variables that influence cheatgrass germination and growth into a regression-tree model. Individual pixel values range from 0 to 100 with an overall mean value of 9.85 and a standard deviation of 12.78. A mask covers areas not classified as shrub/scrub or grass/herbaceous by the 2001 National Land Cover Database. The mask also covers areas higher than 2000 meters in elevation because cheatgrass is unlikely to exist at more than 2% cover above this threshold. Cheatgrass is an invasive grass that has invaded... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Bromus tectorum, Cheatgrass, MODIS, NDVI, Northwest CASC, All tags... Plants, Wildlife and Plants, annual grass, northern Great Basin, satellite data, Fewer tags Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Cascades Study Area Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC,... Categories: Data; Tags: Dendroctonus ponderosae, Forests, Landscapes, Mountain pine beetle, Northwest CASC, All tags... Oregon, Other Wildlife, Pinus albicaulis, Plants, United States, Washington, Wildlife and Plants, whitebark pine, Fewer tags Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Greater Yellowstone Ecosystem Study Area Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on downscaled data from various emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC,... Categories: Data; Tags: Dendroctonus ponderosae, Forests, Greater Yellowstone Ecosystem, Idaho, Landscapes, All tags... Montana, Mountain pine beetle, Northwest CASC, Other Wildlife, Pinus albicaulis, Plants, United States, Wildlife and Plants, Wyoming, whitebark pine, Fewer tags Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here. Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Climatology, Gulf of Mexico, Louisiana Coastal, Plants, Sea-Level Rise and Coasts, All tags... South Central CASC, USGS Science Data Catalog (SDC), Water, Coasts and Ice, Wetlands, Wildlife and Plants, aquatic vegetation, coastal zone management, coastal zones, estuary, salinity, wetland, wetland ecosystems, wetlands, Fewer tags Process-guided deep learning water temperature predictions: 3 Model inputs (meteorological inputs and ice flags) This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags North Pacific Nearshore Sea Surface Temperature (SST) Access Databases 09/1981-12/2009 The Sea Surface Temperature (SST) data of the nearshore region of the North Pacific show temperature ranges in degrees C using points whose locations correspond to the centroids of AVHRR Pathfinder version 5 monthly, global, 4 km data set (PFSST V50). The pathfinder rasters are available from the Physical Oceanography Distributed Active Archive Center (PO.DAAC), hosted by NASA JPL. The data points in this dataset lie within a 20 km buffer from the GSHHS (Global Self-consistent, Hierarchical, High-resolution Shoreline) coastline. The GSHHS vector data are available from the National Geophysical Data Center (NGDC). Furthermore, each point in the SST dataset is categorized by the ecoregion in which it is located. This... Categories: Data; Tags: AVHRR, Aleutian, Asian Pacific, BC, Baja, All tags... British Columbia, CA, California, California Current System, Canada, China, East Asia, Gulf of Alaska, Japan, Kamchatka, Korea, Kuroshio, National CASC, North America, North Pacific, OR, Oregon, Oyashio, Pacific Northwest, Pacific Ocean, Pacific coast, Russia, SST, Sea of Okhotsk, Sea-Level Rise and Coasts, Vancouver, WA, Washington, Water, Coasts and Ice, Yellow Sea, average, biota, coast, coast, ecoregion, global, imageryBaseMapsEarthCover, marine, mean, ocean, oceans, point, remote sensing, satellite, sea surface, shore, temperature, thermal, Fewer tags Southeast Climate Science Center Five-Year Review Report The American Fisheries Society and the Human Dimensions Research Unit of Cornell University have been engaged by NCCWSC to lead 5-year reviews of the CSCs. The purpose of the CSC review and evaluation is to: 1. Evaluate the effectiveness of each CSC in meeting project goals. 2. Assess the level of scientific contribution and achievement at each CSC with respect to climate modeling, climate change impacts assessments, vulnerability and adaptation of fish, wildlife and their habitats, and collaborative development of adaptation strategies for regional stakeholders, and education and training of graduate and post‐doctoral fellows 3. Evaluate the competencies and efficiencies of each host university in managing... Categories: Publication; Types: Citation; Tags: National CASC, Science Tools for Managers, Social Science Conservation Priorities for Recreational Birding in the Southeast United States, by County (2011) Recreational birding is a popular activity in the United States. To assess the spatial distribution of recreational birding in the southeast, we combined two data sources: eBird (Sullivan et al. 2009) and the National Survey of Fishing, Hunting, and Wildlife-associated Recreation (NSFHWAR; US Department of Interior, Fish and Wildlife Service, and Department of Commerce 2011). We used spatial birding data from eBird to distribute the state-level NSFHWAR birding data by county and land protection status. This information was used to identify priority counties for conservation of birding areas. These are counties with a high level of birding activity where at least 90% of birding activity takes place on unprotected... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arkansas, Data Visualization & Tools, Data and Information Sharing, Florida, All tags... Georgia, Louisiana, Mississippi, Missouri, North Carolina, Science Tools for Managers, South Carolina, Southeast CASC, Tennessee, birds, recreation, Fewer tags Groundwater flow model of Northern Arizona by Pool and others, 2011 This dataset contains inputs for a numerical groundwater-flow model of the Upper San Pedro Basin in southeastern Arizona and Northern Sonora, Mexico. Categories: Data; Types: Citation; Tags: Arizona, Rivers, Streams and Lakes, Southwest CASC, Water, Coasts and Ice, groundwater, groundwater flow, model, aquifer, stream Sea Level Rise Systematic Mapping Literature Review Spreadsheet of literature used in systematic review of sea level rise actions Categories: Data; Tags: Coastal California (north of Cape Mendocino), Coastal Oregon, Coastal Washington State, Data Visualization & Tools, Northwest CASC, All tags... Pacific Northwest, Science Tools For Managers, Sea-Level Rise and Coasts, State of the Science, Water, Coasts and Ice, biota, climate adaptation, sea level rise, Fewer tags Ecosystem fluxes and Community Land Model outputs for Thurston and Olaa study sites, Hawaiʻi These files contain two datasets. First are vertical fluxes of energy, water vapor and carbon dioxide calculated by the eddy covariance technique using measurements taken at Olaa tower (Flux Data). Second are results of historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites (CLM Output Data). Output includes time series of energy, water vapor, and carbon dioxide exchanges at each site. The historical runs are forced by gap-filled measured time series at each site. Future data sets were contructed by shifting values in the historical run by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate... Categories: Data; Tags: Forests, Landscapes, Pacific Islands CASC, community land model, ecosystem carbon exchange, All tags... evapotranspiration, future scenarios, Fewer tags 1 2 3 4 5 »