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This dataset is a Basin Characterization Model (BCM) output using the GFDL A2 Scenario for Climatic Water Deficit (CWD) in central Sierra Nevada California, for 2070-2099. The term climatic water deficit defined by Stephenson (1998) is quantified as the amount of water by which potential evapotranspiration (PET) exceeds actual evapotranspiration (AET). This term effectively integrates the combined effects of solar radiation, evapotranspiration, and air temperature on watershed conditions given available soil moisture derived from precipitation. Climatic water deficit can be thought of as the amount of additional water that would have evaporated or transpired had it been present in the soils given the temperature...
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This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Spring (March, April, May) snowpack, in southern Sierra Nevada California, for 2010-2039. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM approach uses...
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This dataset is a Basin Characterization Model (BCM) output using the PCM A2 Scenario for average Winter (December, January, February) snowpack, in northern Sierra Nevada California, for 2070-2099. Snowpack: Amount of snow accumulated per month summed annually, or if divided by 12 average monthly snowpack. This is calculated as prior month's snowpack plus snowfall minus sublimation and snow melt. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL GCMs. The BCM...
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The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving the models with observations. The basic...
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This dataset represents Runoff change, from Basin Characterization Model (BCM) output using the PCM A2 Scenario in central Sierra Nevada California, for 2040-2069. The data was processed using historic Runoff (1979-2000) and Runoff (2040-2069) to calculate change. Runoff: Amount of water that becomes stream flow, summed annually. Modeled as amount of water that exceeds total soil storage and rejected recharge. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and GFDL...
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This dataset represents Runoff change, from Basin Characterization Model (BCM) output using the GFDL A2 Scenario in southern Sierra Nevada California, for 2070-2099. The data was processed using historic Runoff (1979-2000) and Runoff (2070-2099) to calculate change. Runoff: Amount of water that becomes stream flow, summed annually. Modeled as amount of water that exceeds total soil storage and rejected recharge. The California Basin Characterization Model (BCM) climate dataset provides historical and projected climate surfaces for the state at a 270 meter resolution. The historical data is based on 4 kilometer PRISM data, and the projected climate surfaces are based on the A2 and B1 scenarios of the PCM and...
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This dataset depicts the Difference for Average Annual Temperature for 2045-2060 compared to 1968-1999 for GFDL. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site...
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The full VEMAP dataset covers the period 1895—1993 on a 0.5° latitude/longitude grid. Climate is represented at both monthly and daily timesteps. Variables are: precipitation, mininimum and maximum temperature, total incident solar radiation, daylight-period irradiance, vapor pressure, and daylight-period relative humidity. The dataset was derived from US Historical Climate Network (HCN), cooperative net work, and snowpack telemetry (SNOTEL) monthly precipitation and mean minimum and maximum temperature station data. VEMAP participants employed techniques that rely on geostatistical and physical relation ships to create the temporally and spatially complete dataset. They developed a local kriging prediction model...
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This dataset represents the difference between future and historic maximum temperatures under the MIROC A2 future climate scenario.
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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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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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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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Observed water temperatures from 1980-2019 were compiled for 2,332 lakes in the US. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources. This dataset is part of a larger data release of lake temperature model inputs and outputs for these same lakes...
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A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR1 (N 47° 04’ 16.1”/W 122° 42’ 15.5”) and continuously measured water temperature, water depth, specific conductance, and salinity at 15-minute intervals from February 11, 2016 to July 18, 2016 (159 days). The sensor was replaced with a vented water-level logger (InSitu Level Troll) on July 19, 2016 and deployed until March 19, 2018 (608 days). The site is tidally influenced and located approximately 4.1 km upstream from the mouth of the Nisqually River and within the tidal prism. The elevation (NAVD88) of the top of the deployment pipe was surveyed by RTN-GPS. Tape-down measurements from the top of the pipe to the...
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Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.
This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
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Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought;...
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The temperature and surface geophysical data contained in this release have primarily been collected to support groundwater/surface water methods development, and to characterize the hydrogeological controls on native brook trout habitat. All data have been collected since 2010 along the Quashnet River corridor located on Cape Cod, MA, USA. Cape Cod is a peninsula in southeastern coastal Massachusetts, USA, composed primarily of highly permeable unconsolidated glacial moraine and outwash deposits. The largest of the Cape Cod sole-source aquifers occupies a western (landward) section of the peninsula, and is incised by several linear valleys that drain groundwater south to the Atlantic Ocean via baseflow-dominated...
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Physical and chemical changes affect the biota within urban streams at varying scales ranging from individual organisms to populations and communities creating complex interactions that present challenges for characterizing and monitoring the impact on species utilizing these freshwater habitats. Salmonids, specifically cutthroat trout (Oncorhynchus clarkii) and coho salmon (Oncorhynchus kisutch), extensively utilize small stream habitats influenced by a changing urban landscape. This study used a comprehensive fish health assessment concurrent with the U.S. Geological Survey’s Pacific Northwest Stream Quality Assessment in 2015 to quantifiy impacts from disease in juvenile coho and cutthroat salmon, impacts to...
The global mean surface temperature increased 0.85°C during the period 1880 – 2012. Some climate models predict an additional warming of up 2 to 4 ◦ C over the next 100 years for the primary breeding grounds for North American ducks. Such an increase has been predicted to reduce mid - continent breeding duck populations by >70%. Managing continental duck populations in the face of climate change requires understanding how waterfowl have responded to historical spatio - temporal climatic variation. However, such responses to climate may be obscured by how ducks respond to variation in land cover. We estimated effects of climate on settlement patterns of breeding ducks in the Prairie - Parkland Region (PPR), boreal...


map background search result map search result map GFDL A2 Runoff Change, Southern Sierra Nevada California, 2070-2099 PCM A2 Runoff Change, Central Sierra Nevada California, 2040-2069 GFDL A2 Scenario Climatic Water Deficit, Central Sierra Nevada California, 2070-2099 PCM A2 Scenario Average Spring Snowpack, Southern Sierra Nevada California, 2010-2039 PCM A2 Scenario Average Winter Snowpack, Northern Sierra Nevada California, 2070-2099 Monthly Average Precipitation (1970-2000) from CGCM3-driven CRCM Historic average annual minimum temperature (degrees C) 1961-1990 (VEMAP version) 4KM Difference: Average Annual Temperature (2045-2060) from GFDL-driven RegCM3 climate model (Western US) Calculated difference between simulated maximum temperatures for 2071 to 2100 under MIROC A2 for the eastern Oregon study area, USA New porewater data collection: subplot-level physicochemical Precipitation (Proportion July - Sep) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2020-2050 - RCP8.5 - Min Evaluating Coho Salmon in Streams Across an Urbanization Gradient—Part 1, Growth Potential Based on Environmental Factors and Bioenergetics Water Data for Nisqually River at Site NR1 Temperature and geophysical data collected along the Quashnet River, Mashpee/Falmouth MA (ver. 2.0, March 2020) Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations Temperature and geophysical data collected along the Quashnet River, Mashpee/Falmouth MA (ver. 2.0, March 2020) Calculated difference between simulated maximum temperatures for 2071 to 2100 under MIROC A2 for the eastern Oregon study area, USA Evaluating Coho Salmon in Streams Across an Urbanization Gradient—Part 1, Growth Potential Based on Environmental Factors and Bioenergetics PCM A2 Runoff Change, Central Sierra Nevada California, 2040-2069 GFDL A2 Scenario Climatic Water Deficit, Central Sierra Nevada California, 2070-2099 PCM A2 Scenario Average Winter Snowpack, Northern Sierra Nevada California, 2070-2099 New porewater data collection: subplot-level physicochemical PCM A2 Scenario Average Spring Snowpack, Southern Sierra Nevada California, 2010-2039 GFDL A2 Runoff Change, Southern Sierra Nevada California, 2070-2099 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) 4KM Difference: Average Annual Temperature (2045-2060) from GFDL-driven RegCM3 climate model (Western US) Precipitation (Proportion July - Sep) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2020-2050 - RCP8.5 - Min Historic average annual minimum temperature (degrees C) 1961-1990 (VEMAP version) Monthly Average Precipitation (1970-2000) from CGCM3-driven CRCM