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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/
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climatologyMeteorologyAtmosphere,
dataset,
precipitation,
service,
temperature,
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...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Air Temperature Atmosphere,
Atmospheric Temperature,
Maximum Daily Temperature,
Minimum Daily Temperature,
Precipitation,
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
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...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: climatologyMeteorologyAtmosphere,
dataset,
service,
time
This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: PRISM Climate Group,
USGS Science Data Catalog (SDC),
air temperature,
climatologyMeteorologyAtmosphere,
dataset,
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....
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: climate,
climatologyMeteorologyAtmosphere,
dataset,
landscape,
service
These daily gridded observations at 1/8 degree spatial resolution (about 12 km) are a baseline dataset to be compered to downscaled climate predictions. The grid used is the same as has been used by other 1/8th degree spatial resolution downscaling projects. Before using this dataset, please review the material summarized here: https://my.usgs.gov/confluence/display/GeoDataPortal/2014/04/16/Notice%3A+Evaluation+of+Maurer+gridded+observational+datasets+and+their+impacts+on+downscaled+products
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climatologyMeteorologyAtmosphere,
service
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...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Air Temperature Atmosphere,
Atmospheric Temperature,
Maximum Daily Temperature,
Minimum Daily Temperature,
Precipitation,
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,
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
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)...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climatologyMeteorologyAtmosphere
NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: CMIP5,
MACA,
air_temperature,
climatologyMeteorologyAtmosphere,
dataset,
This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climatologyMeteorologyAtmosphere,
service
These files contain spatial fields of simulated yearly thermosteric sea-level anomalies between 1951-2100 (referenced to year 1800) from a perturbed physics ensemble experiment using the University of Victoria Earth System Model (UVic). Thermosteric sea-level anomalies are derived from changes in density, which are calculated using the model's temperature and salinity fields. The ensemble varies 3 parameters controlling the model's equilibrium climate sensitivity (CS), background vertical diffusivity in the ocean (KV), and radiative effects of atmospheric sulfate aerosols (ASC). These parameters are varied over the following ranges: CS-(1.1, 1.6, 2.2, 2.6, 3.1, 4.0, 5.4, 6.5, 8.2, 11.2); KV-(0.1, 0.2, 0.3, 0.4,...
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....
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Permafrost,
active layer,
climatologyMeteorologyAtmosphere,
dataset,
models,
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).
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...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Oregon State University,
climatologyMeteorologyAtmosphere,
dataset,
precipitation,
runoff,
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)...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climatologyMeteorologyAtmosphere
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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