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Rendering High-Resolution Hydro-Climatic Data for Southern California Natural resource managers and researchers often need long-term averages of historical and future climate scenarios for their study area yet may not have the resources to make these summaries. This project will provide high quality, detailed maps of historical and projected future climate and hydrologic conditions for California and a finer scale version for southern California. The project will also assess the feasibility of expanding these reference data to the southwestern US and identify the most suitable online data portals for the public to view and analyze the data in support of local initiatives. The map products can be used to assess the impacts of ongoing climate change and to develop climate adaptation... Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2023, Basin Characterization Model, CASC, Climate Change, Data Services, All tags... Downscaling, Hydroclimatic Model, Projects by Region, Southern California, Southwest, Southwest CASC, Fewer tags Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Red River, climatologyMeteorologyAtmosphere, dataset, downscaling, service South Central Climate Projections Evaluation Project (C-PrEP) Global climate models (GCMs) are numerically complex, computationally intensive, physics-based research tools used to simulate our planet’s inter-connected climate system. In addition to improving the scientific understanding of how the large-scale climate system works, GCM simulations of past and future climate conditions can be useful in applied research contexts. When seeking to apply information from global-scale climate projections to address local- and regional-scale climate questions, GCM-generated datasets often undergo statistical post-processing generally known as statistical downscaling (hereafter, SD). There are many different SD techniques, with all using information from observations to address GCM... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: climate, climate change, climate projections, climatologyMeteorologyAtmosphere, dataset, All tags... downscaling, service, Fewer tags Dynamical Downscaling for the Midwest and Great Lakes Basin Six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) were dynamically downscaled to 25-km grid spacing according to the representative concentration pathway 8.5 (RCP8.5) scenario using the International Centre for Theoretical Physics (ICTP) Regional Climate Model Version Four (RegCM4), interactively coupled to a 1D lake model to represent the Great Lakes. These GCMs include the Centre National de Recherches Meteorologiques Coupled Global Climate Model Version Five (CNRM-CM5), the Model for Interdisciplinary Research on Climate Version Five (MIROC5), the Institut Pierre Simon Laplace Coupled Model Version Five-Medium Resolution (IPSL-CM5-MR), the Meteorological Research... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Great Lakes, climatologyMeteorologyAtmosphere, dataset, downscaling, service Data and Model for the Final Report of Toward Next Generation Downscaling for Hydrologic Prediction in the Pacific Northwest Data Sources, inputs, parameters, and code for the MACA-VIC project final report. Consists of 3 tasks: 1. Consists of comparing results of the indexing method MTCLIM to estimate incoming short and long wave radiation, to observations, to BSRN station data, and to three Ameriflux towers in the Pacific Northwest. 2. Reports on forcing VIC with downscaled GCM forcings, with variations in two forcing variables: downward shortwave radiation (rad) and specific humidity (qair). For this task we consider the MACA downscaling method. Three cases are reported: a) both variables are downscaled; b) rad is indexed and qair is downscaled; c) rad is downscaled and qair is indexed. 3. Reports on forcing VIC with downscaled... Categories: Data; Types: Downloadable; Tags: Data Visualization & Tools, Northwest CASC, Rivers, Streams and Lakes, Science Tools For Managers, Variable Infiltration Capacity, All tags... Water, Coasts and Ice, climate change, downscaling, hydrology, modelling, Fewer tags Very fine resolution dynamically downscaled climate data for Hawaii Clouds often come in contact with vegetation (often named fogs) within a certain elevation range on Hawai‘i’s mountains. Propelled by strong winds, cloud droplets are driven onto the stems and leaves of plants where they are deposited. Some of the water that accumulates on the plants in this way drips to the ground, adding additional water over and above the water supplied by rainfall. Prior observations show that the amount of cloud water intercepted by vegetation is substantial, but also quite variable from place to place. It is, therefore, important to create a map for the complex spatial patterns of cloud water interception (CWI) in Hawai‘i. In this project, we propose to create the CWI map at 0.8-km resolution... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Hawaii, Maui, climate, climatologyMeteorologyAtmosphere, dataset, All tags... downscaling, service, Fewer tags Determining Landscape Connectivity and Climate Change Refugia Across the Sierra Nevada This project used species distribution modeling, population genetics, and geospatial analysis of historical vs. modern vertebrate populations to identify climate change refugia and population connectivity across the Sierra Nevada. It is hypothesized that climate change refugia will increase persistence and stability of populations and, as a result, maintain higher genetic diversity. This work helps managers assess the need to include connectivity and refugia in climate change adaptation strategies. Results help Sierra Nevada land managers allocate limited resources, aid future scenario assessment at landscape scales, and develop a performance measure for assessing resilience. Categories: Data, Project; Tags: 2011, 2013, CA, California Landscape Conservation Cooperative, Conservation Design, All tags... Conservation Planning, Conservation planning, Consevation design, Data Acquisition and Development, Data Acquisition and Development, Federal, Federal resource managers, Forest, LCC, LCC Network Science Catalog, Project, Publication, Science Project, Sierra Nevada, Sierra Nevada, Southwest CSC, State agencies, Training/Outreach/Workshop, Website, adaptation, aet, biodiversity, communication, completed, connectivity, connectivity, downscaling, environment, genetics, grinnell, historical, mammals, management, maxent, microsatellite, multiple, online, pet, prism, refugia, refugia, resilience, seminar, species distribution modeling, squirrels, vertebrates, website, workshop, Fewer tags Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Red River, climatologyMeteorologyAtmosphere, dataset, downscaling, service Dynamical Downscaling for the Midwest and Great Lakes Basin Six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) were dynamically downscaled to 25-km grid spacing according to the representative concentration pathway 8.5 (RCP8.5) scenario using the International Centre for Theoretical Physics (ICTP) Regional Climate Model Version Four (RegCM4), interactively coupled to a 1D lake model to represent the Great Lakes. These GCMs include the Centre National de Recherches Meteorologiques Coupled Global Climate Model Version Five (CNRM-CM5), the Model for Interdisciplinary Research on Climate Version Five (MIROC5), the Institut Pierre Simon Laplace Coupled Model Version Five-Medium Resolution (IPSL-CM5-MR), the Meteorological Research... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Great Lakes, climatologyMeteorologyAtmosphere, dataset, downscaling, service Downscaled CHELSA projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the... Categories: Data; Tags: Climate Shifts, Downscaling, Future Scenarios, Global Circulation Models, Hawai’i, All tags... Main Hawaiian Islands, Regional Projections, Fewer tags Downscaled WorldClim2 projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the... Categories: Data; Tags: Climate Shifts, Downscaling, Future Scenarios, Global Circulation Models, Hawai’i, All tags... Main Hawaiian Islands, Regional Projections, Fewer tags South Central Climate Projections Evaluation Project (C-PrEP) Global climate models (GCMs) are numerically complex, computationally intensive, physics-based research tools used to simulate our planet’s inter-connected climate system. In addition to improving the scientific understanding of how the large-scale climate system works, GCM simulations of past and future climate conditions can be useful in applied research contexts. When seeking to apply information from global-scale climate projections to address local- and regional-scale climate questions, GCM-generated datasets often undergo statistical post-processing generally known as statistical downscaling (hereafter, SD). There are many different SD techniques, with all using information from observations to address GCM... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: climate, climate change, climate projections, climatologyMeteorologyAtmosphere, dataset, All tags... downscaling, service, Fewer tags Very fine resolution dynamically downscaled climate data for Hawaii Clouds often come in contact with vegetation (often named fogs) within a certain elevation range on Hawai‘i’s mountains. Propelled by strong winds, cloud droplets are driven onto the stems and leaves of plants where they are deposited. Some of the water that accumulates on the plants in this way drips to the ground, adding additional water over and above the water supplied by rainfall. Prior observations show that the amount of cloud water intercepted by vegetation is substantial, but also quite variable from place to place. It is, therefore, important to create a map for the complex spatial patterns of cloud water interception (CWI) in Hawai‘i. In this project, we propose to create the CWI map at 0.8-km resolution... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Hawaii, Maui, climate, climatologyMeteorologyAtmosphere, dataset, All tags... downscaling, service, Fewer tags Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5) Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the... Categories: Data; Tags: Climate Shifts, Downscaling, Future Scenarios, Global Circulation Models, Hawai’i, All tags... Main Hawaiian Islands, Regional Projections, Fewer tags Coastal Ecosystem Response to Climate Change - Fact sheet Coastal resource managers are faced with many challenges and uncertainties in planning adaptive strategies for conserving estuarine habitats with climate change. To plan and manage for future scenarios, managers need access to data, models, and training on the best-available science. To address this need, the USGS Western Ecological Research Center has worked with federal, Tribal, state, and local partners to establish a network of study sites in 17 estuaries along the Pacific Coast, examining the climate change effects on tidal wetlands with high-quality local data, downscaled models, and projected storm effects. Study sites include ten USFWS National Wildlife Refuges and four NOAA National Estuarine Research Reserves. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Climate change, Downscaling, Estuaries, Humboldt Bay, All tags... Humboldt Bay National Wildlife Refuge, Sea level rise, completed, product, Fewer tags