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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...
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...
The south-central U.S. exists in a zone of dramatic transition in terms of eco-climate system diversity. Ecosystems across much of the region rely on warm-season convective precipitation. These convective precipitation is subject to large uncertainties under climate change scenario, possibly leading to gradual or sudden changes in habitats, and ecosystems. The convective precipitation in this region, occurring on a range of time and space scales, is extremely challenging to predict in future climate scenario. In this project, we established a unique, cutting-edge, dynamic downscaling capability to address the challenge of predicting precipitation in the south-central U.S. in current and future climate scenarios....
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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...
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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...
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To understand potential climate change impacts on ecosystems, water resources, and numerous other natural and managed resources, climate change data and projections must be downscaled from coarse global climate models to much finer resolutions and more applicable formats. This project conducted comparative analyses to better understand the accuracy and properties of these downscaled climate simulations and climate-change projections. Interpretation, guidance and evaluation, including measures of uncertainties, strengths and weaknesses of the different methodologies for each simulation, can enable potential users with the necessary information to select and apply the models.
This fact sheet provides highlights from a comprehensive U.S. Geological Survey report that evaluates six widely used downscaled climate projections covering the southeastern United States and recommends best practices for use of downscaled datasets for ecological modeling and decision-making.
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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 apply steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for climate change impact studies in Hawaii. 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...
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A previously-developed groundwater model of the Suwannee River Basin was modified and calibrated to represent transient conditions. A simulation of recent conditions was developed for the 372-month period 1970-2000, and was compared with a simulation of future conditions for a similar-length period 2039-2069, which uses downscaled GCM (Global Climate Model) data. The MODFLOW groundwater-simulation code was used in both of these simulations, and two different MODFLOW boundary condition “packages” (River and Streamflow Routing Packages) were used to represent interactions between surface-water and groundwater features. The parameters for the simulation of future conditions were developed from dynamically downscaled...
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A previously developed model (https://doi.org/10.3133/sir20175098) was coupled with downscaled climate model data to determine the impact of climate variability on base flow and groundwater storage in the North Fork Red River aquifer, Oklahoma. The North Fork Red River aquifer is an alluvial aquifer that discharges groundwater to the North Fork Red River, which provides inflow to Lake Altus, an important water source for the surrounding communities. The impact of climate variability on hydrologic systems and the resulting effects on basins has become an important topic in assessing future water resources. Global climate projections from general circulation models, including the Coupled Model Intercomparison Project...
Abstract (from http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0038.1): A 20-yr simulation with a fine-resolution regional atmospheric model for projected late twenty-first-century conditions in Hawaii is presented. The pseudo-global-warming method is employed, and the boundary conditions are based on a multimodel mean of projections made with global coupled models run with a moderate greenhouse gas emissions scenario. Results show that surface air temperature over land increases ~2°–4°C with the greatest warming at the highest topographic heights. A modest tendency for the warming to be larger on the leeward sides of the major islands is also apparent. Climatological rainfall is projected to change up to...
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Surrounded by saltwater, human and natural communities on the Hawaiian Islands depend upon the freshwater supplied by rainfall for survival. Climate change will likely alter rainfall timing and intensity, but global climate models cannot capture the fine-scale dynamics of local rainfall, making future rainfall predictions for the islands uncertain. For this project, scientists used a technique called statistical downscaling (combining coarse-scale climate models with local historical data) to generate high-resolution maps showing seasonal rainfall change projections for Hawaiʻi over the course of this century. Results suggest that Hawaiʻi’s climate will become drier overall in the second half of the century, but...
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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...
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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.


    map background search result map search result map Developing High-Resolution Rainfall Change Scenarios for the Hawaiian Islands Analysis of Downscaled Climate Simulations and Projections and Their Use in Decision Making for the Southwest Coastal Ecosystem Response to Climate Change - Fact sheet Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios 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 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 Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5) MODFLOW datasets for simulations of groundwater flow with downscaled global climate model data for the Suwannee River Basin, Florida MODFLOW-NWT model used in simulations of selected climate scenarios of groundwater availability in the North Fork Red River aquifer, southwestern Oklahoma Rendering High-Resolution Hydro-Climatic Data for Southern California Coastal Ecosystem Response to Climate Change - Fact sheet MODFLOW-NWT model used in simulations of selected climate scenarios of groundwater availability in the North Fork Red River aquifer, southwestern Oklahoma MODFLOW datasets for simulations of groundwater flow with downscaled global climate model data for the Suwannee River Basin, Florida Developing High-Resolution Rainfall Change Scenarios for the Hawaiian Islands Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios 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 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 Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5) Rendering High-Resolution Hydro-Climatic Data for Southern California Analysis of Downscaled Climate Simulations and Projections and Their Use in Decision Making for the Southwest