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In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future...
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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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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...
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The Japanese Meteorological Agency Non-Hydrostatic Model (NHM) is nested inside the Regional Spectral Model (RSM) at 10 km grid resolution which in turn is forced at the lateral boundaries to dynamically downscale two general circulation models (GCMs) that participated in the Coupled Model Intercomparison Project (CMIP5). The downscaled regional climate change projections were developed for two twenty-year timeslices for the high Greenhouse Gas Emission Scenario, RCP8.5. These climate change projections were developed to provide information about climate change for various climate change applications within Puerto Rico and the US Virgin Islands. In particular, the model output parameters were saved in response to...
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This archive contains daily statistically downscaled climate projections for the United States and southern Canada east of the Rocky Mountains at 0.1 degree resolution. Further documentation is available here: http://djlorenz.github.io/downscaling2/main.html The downscaled variables are daily precipitation, daily maximum temperature and daily minimum temperature. The downscaling is based on 13 models from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3), a critical source of data to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4).
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Daily precipitation, runoff (rain + snowmelt), snowfall, snow-water equivalent (SWE), and snowmelt, at a 100m spatial resolution for the period 1989 - 2011 for the Upper Deschutes River Basin (UDRB) study area and for 1989 - 2009 for the McKenzie River Basin (MRB) study area. For example, the UDRB modeling domain is 781 rows by 385 columns at 100-m grid spacing, and data are stored in 365-day water-year time periods, one for each of the 23 years in the study period. The data include climate-scenarios for the 'reference_climate' i.e. historical climate period, 't2' i.e. +2 degrees C added to each historical temperature record used as model forcing, 't2p10' i.e. +2 degrees C added to each historical temperature and...
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The permafrost module of the Alaska Integrated Ecosystem Model (AIEM) is used to establish high spatial resolution scenario of changes in permafrost characteristics in the Alaskan Arctic in response to projected climate change. Retrospective modeling was performed for the 1901-2009 period using the high resolution CRU TS3.1 climate forcing from the Scenario Network for Alaska Planning (SNAP). To predict future changes in permafrost in natural conditions, a five model composite climate forcing (2006-2100) under the Representative Concentration Pathways (RCP) 4.5 scenario is utilized. In particular, the temperature and precipitation of models (NCAR-CCSM4, GFDL-CM3, GISS-E2R, IPSL-CM5A-LR, and MRI-CGCM3) are considered....
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Here we present surface current results from a physics-based, 3-dimensional coupled ocean-atmosphere numerical model that was generated to understand coral larval dispersal patterns in Maui Nui, Hawaii, USA. The model was used to simulate coral larval dispersal patterns from a number of existing State-managed reefs and large tracks of reefs with high coral coverage that might be good candidates for marine-protected areas (MPAs) during 8 spawning events during 2010-2013. The goal of this effort is to provide geophysical data to help provide guidance to sustain coral health in Maui Nui, Hawaii, USA. Each model output run is available as a netCDF file with self-contained attribute information. Each file name is appended...
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The development of Submerged Aquatic Vegetation (SAV) growth model within the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) model leads to a change in SAV biomass. The SAV biomass is computed from temperature, nutrient loading and light predictions obtained from coupled hydrodynamics (temperature), bio-geochemistry (nutrients) and bio-optical (light) models. In exchange, the growth of SAV sequesters or contributes nutrients from the water column and sediment layers. The presence of SAV modulates current and wave attenuation and consequently affects modelled sediment transport. The model of West Falmouth Harbor in Massachusetts, USA was simulated to study the seagrass growth/dieback pattern in a hypothetical...
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: CMG_Portal, Earth Science > Human Dimensions > Natural Hazards > Floods, Earth Science > Oceans > Marine Sediments >Sediment Transport, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, All tags...
Transport of material in an estuary is important for water quality and hazards concern. We studied these processes in the Hudson River Estuary, located along the northeast coast of the U.S. using the COAWST numerical modeling system. A skill assessment of the COAWST model for the 3-D salinity structure of the estuary has been successfully studied in the past, and the present research extended that understanding to look at both physical and numerical mixing. The model grid extends from the south at the Battery, NY to the north in Troy, NY. The simulation is performed from March 25 to July 11, 2005 (111 days). For more information see: https://doi.org/10.5066/P95E8LAS.
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: CMG_Portal, Earth Science > Human Dimensions > Natural Hazards > Floods, Earth Science > Oceans > Marine Sediments >Sediment Transport, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, All tags...
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This archive contains daily dynamically downscaled climate projections and simulated land surface water and energy fluxes for the northwestern United States and part of southern British Columbia (N of about 38 degrees N and W of about 105 degrees W) at 1/16th (0.0625) degree resolution. Climate and hydrologic variables (21 total) are as follows: precipitation, temperature (avg./max./min.), outgoing longwave radiation, incoming shortwave radiation, relative humidity, vapor pressure deficit, evapotranspiration, runoff, baseflow, soil moisture (3-layers), snow water equivalent, snow depth, and potential evapotranspiration (5 vegetation references). The downscaling is based on the Weather Research and Forecasting (WRF)...
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Actual ET (ETa) is produced using the operational Simplified Surface Energy Balance (SSEBop) model (Senay and others, 2013) for the period 2000 to present. The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay and others, 2007, 2011) with unique parameterization for operational applications. It combines ET fractions generated from remotely sensed MODIS thermal imagery, acquired every 8 days, with reference ET using a thermal index approach. The unique feature of the SSEBop parameterization is that it uses pre-defined, seasonally dynamic, boundary conditions that are unique to each pixel for the hot/dry and cold/wet reference points. Reference: Senay, G. B., Bohms, S., Singh, R....
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This archive contains daily surface meteorological (METDATA) data for the Continental United States at 4-km (1/24-deg) resolution. The meteorological variables are maximum/minimum temperature, precipitation amount and duration, maximum/minimum relative humidity,downward shortwave solar radiation, wind speed and direction, and specific humidity. The method utilized here combines desirable spatial attributes of gridded climate data from PRISM and desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete high resolution gridded dataset of surface meteorological variables for the continental US for 1979-2012. Validation of...
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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...
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This dataset is output from the Sea Level Affecting Marshes Model (SLAMM) for the South Atlantic Migratory Bird Initiative (SAMBI) geographic planning region. It represents 10 year increments (ranging from year 2000 - year 2100) for the climate change scenario A1B, A1FI, A2, or B1. The dataset was developed as one component for modeling landscape scale alterations of avian habitats due to climate change. It may also be used as a stand-alone product to illustrate potential changes in marsh and coastal environments due to longterm sea level rise. Model outputs from SLAMM are subject to constraints of the modeling process itself. The Biodiversity and Spatial Information Center (BaSIC) did not create the SLAMM modeling...
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This dataset offers hourly estimates of radar indicated rain gage corrected precipitation at a roughly 4km spatial resolution. Mosaicked into a national product at NCEP, from the regional hourly multi-sensor (radar+gauges) precipitation analyses produced by the 12 River Forecast Centers over CONUS. Some manual QC done at the RFCs. The Stage II/IV job is run at 33min past the top of each hour. Hourly Stage IV is re-made hourly (if there is new input after valid time for the next 23 hours, then again at 1/3/5/7 days after valid time. These data have been aggregated into this service by the USGS and are downloaded and incorporated into the archive every 30 minutes. The original Hydrologic Rainfall Analysis Projection...
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We have completed an array of high-resolution simulations of present and future climate over Western North America (WNA) and Eastern North America (ENA) by dynamically downscaling global climate simulations using a regional climate model, RegCM3. The simulations are intended to provide long time series of internally consistent surface and atmospheric variables for use in climate-related research. In addition to providing high-resolution weather and climate data for the past, present, and future, we have developed an integrated data flow and methodology for processing, summarizing, viewing, and delivering the climate datasets to a wide range of potential users. Our simulations were run over 50- and 15-kilometer model...
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This archive contains daily statistically downscaled climate projections and simulated land surface water and energy fluxes for the western United States and southern British Columbia at 1/16th (0.0625) degree resolution. Climate and hydrologic variables (21 total) are as follows: precipitation, temperature (avg./max./min.), outgoing longwave radiation, incoming shortwave radiation, relative humidity, vapor pressure deficit, evapotranspiration, runoff, baseflow, soil moisture (3-layers), snow water equivalent, snow depth, and potential evapotranspiration (5 vegetation references). The downscaling used is the Modified Delta approach (see Littell et al. 2011), based on 10 models from Phase 3 of the Coupled Model Intercomparison...
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-- Methods -- The Weather Research and Forecast model (WRF) is applied to construct triply-nested meshes. The outermost domain (20-km horizontal resolution) is large enough to cover almost the whole tropical and subtropical areas from the central Pacific to the western Pacific. The intermediate domain has 4-km horizontal resolution, and the innermost domain of each individual island has a horizontal resolution of 0.8 km. The driving fields for the atmosphere are the NASA Modern-Era Retrospective Analysis for Research and Applications reanalysis, and the sea surface temperature (SST) is from NOAA. Variables in the driving fields include temperature, wind, geopotential height, water vapor, etc. For the future runs,...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Urban growth probability extents throughout the 21st century for the DSL-SAMBI, which encompasses the Atlantic Coastal Plain in the states of Alabama, Florida, Georgia, North Carolina, South Carolina and Virginia. This data set is not intended...


map background search result map search result map Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Urban Growth Projection for DSL-SAMBI USGS Dynamical Downscaled Regional Climate University of Idaho Daily Meteorological data for continental US Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Sea Level Rise Projections for DSL-SAMBI Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data Western US Hydroclimate Scenarios Project Dynamically Downscaled Data SnowModel Output McKenzie and Upper Deschutes River Basins Simulated permafrost dynamics across the Alaskan North Slope region in the 20th and 21st centuries United States Stage IV Quantitative Precipitation Archive Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Physics-based numerical circulation model outputs of ocean surface circulation during the 2010-2013 summer coral-spawning seasons in Maui Nui, Hawaii, USA Dynamical Downscaled and Projected Climate for the US Pacific Islands Dynamical Downscaling for the Midwest and Great Lakes Basin Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System JMA Non-Hydrostatic Model (NHM): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections Numerical model of salinity transport and mixing in the Hudson River Estuary Numerical model of Submerged Aquatic Vegetation (SAV) growth dynamics in West Falmouth Harbor without nitrate loading Numerical model of Submerged Aquatic Vegetation (SAV) growth dynamics in West Falmouth Harbor without nitrate loading Physics-based numerical circulation model outputs of ocean surface circulation during the 2010-2013 summer coral-spawning seasons in Maui Nui, Hawaii, USA SnowModel Output McKenzie and Upper Deschutes River Basins Numerical model of salinity transport and mixing in the Hudson River Estuary JMA Non-Hydrostatic Model (NHM): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections Sea Level Rise Projections for DSL-SAMBI Urban Growth Projection for DSL-SAMBI Simulated permafrost dynamics across the Alaskan North Slope region in the 20th and 21st centuries Western US Hydroclimate Scenarios Project Dynamically Downscaled Data Western US Hydroclimate Scenarios Project Observations and Statistically Downscaled Data Dynamical Downscaling for the Midwest and Great Lakes Basin Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe University of Idaho Daily Meteorological data for continental US Daily Statistically Downscaled Climate Projections for the US and southern Canada east of the Rocky Mountains. Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System United States Stage IV Quantitative Precipitation Archive USGS Dynamical Downscaled Regional Climate Dynamical Downscaled and Projected Climate for the US Pacific Islands