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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,
PRISM climate data for Wyoming. Data can be accessed through the Geospatial Data Gateway http://datagateway.nrcs.usda.gov/.
Categories: Data;
Types: Downloadable;
Tags: PRISM,
Precipitation,
Wyoming,
climate,
climatologyMeteorologyAtmosphere,
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,
This map layer shows tornado touchdown points in the United States, PuertoRico, and the U.S. Virgin Islands, from 1950 to 2004. Statistical datawere obtained from the National Weather Service, Storm Prediction Center(SPC). The SPC data originate from the Severe Thunderstorm Database andthe National Oceanic and Atmospheric Administration (NOAA) Storm Datapublication.
These files include historical downscaled estimates of decadal average monthly snow-day fraction ("fs", units = percent probability from 1 – 100) for each month of the decades from 1900-1909 to 2000-2009 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Version 1.0 was completed in 2015 Version 2.0 was completed in 2018 These snow-day fraction estimates were produced by applying equations relating decadal average monthly temperature to snow-day fraction to downscaled decadal average monthly temperature. Separate equations were used to model the relationship between decadal monthly average temperature and the fraction of wet days with snow for seven geographic regions in the...
These files include climatological summaries of downscaled historical and projected decadal average monthly snowfall equivalent ("SWE", in millimeters), the ratio of snowfall equivalent to precipitation, and future change in snowfall for October-March at 771-meter spatial resolution across the state of Alaska. **Derived snow variables and summaries. Data are for summary October to March Alaska climatologies for:** 1) historical and future snowfall equivalent ("SWE"), produced by multiplying snow-day fraction by decadal average monthly precipitation and summing over 6 months from October to March to estimate the total SWE on April 1. 2) historical and future ratio of SWE to precipitation ("SFEtoP"), SFEtoP is the...
With increasing concerns about the impact of warming temperatures on water resources, more attention is being paid the relationship between runoff and precipitation, or runoff efficiency. Temperature is a key influence on Colorado River runoff efficiency, and warming temperatures are projected to reduce runoff efficiency. Here, we investigate the nature of runoff efficiency in the upper Colorado River (UCRB) basin over the past 400 years, with a specific focus on major droughts and pluvials, and to contextualize the instrumental period. We first verify the feasibility of reconstructing runoff efficiency from tree-ring data. The reconstruction is then used to evaluate variability in runoff efficiency over periods...
Categories: Data;
Tags: Climatology,
Climatology,
Colorado River,
Hydrology,
Lees Ferry (historical),
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Landsat TM,
NDVI,
Normalized Difference Vegetation Index,
Sonoran Desert,
This set of files includes downscaled projections of decadal means of annual mean temperatures (in degrees Celsius, no unit conversion necessary) for each decade from 1910 - 2006 (CRU TS 3.0) or 2009 (CRU TS 3.1) at 771x771 meter spatial resolution. Each file represents a decadal mean of an annual mean calculated from mean monthly data. The spatial extent includes Alaska. Each set of files originates from the Climatic Research Unit (CRU, http://www.cru.uea.ac.uk/) TS 3.0 or 3.1 dataset. TS 3.0 extends through December 2006 while 3.1 extends to December 2009. ============================= Downscaling: These files are bias corrected and downscaled via the delta method using PRISM (http://prism.oregonstate.edu/)...
This set of files includes downscaled projections of decadal means of monthly mean temperatures (in degrees Celsius, no unit conversion necessary) for each month of every decade from 2010 - 2100 (see exceptions below) at 771x771 meter spatial resolution. Each file represents a mean monthly mean in a given decade. The spatial extent includes Alaska. ========= Overview: Most of SNAP’s climate projections come in multiple versions. There are 5 climate models, one 5 model average, 3 climate scenarios, 12 months, and 100 years. This amounts to 21,600 files per variable for monthly data. Some datasets are derived products such as monthly decadal averages or specific seasonal averages, among others. This specific dataset...
WaSSI (Water Supply Stress Index) predicts how climate, land cover, and human population change may impact water availability and carbon sequestration at the watershed level (about the size of a county) across the lower 48 United States. WaSSI users can select and adjust temperature, precipitation, land cover, and water use factors to simulate change scenarios for any timeframe from 1961 through the year 2100.Simulation results are available as downloadable maps, graphs, and data files that users can apply to their unique information and project needs. WaSSI generates useful information for natural resource planners and managers who must make informed decisions about water supplies and related ecosystem services...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
These results are a compilation of climate change vulnerability assessments in the southeastern portion of the LCC, covering the area from southern West Virginia, south to Alabama, west to eastern Kentucky and Tennessee. Hyperlinks to additional information are separated into two additional spreadsheets, one for aquatic and subterranean, and another for terrestrial species.
Categories: Data;
Tags: Data,
LCC Network Science Catalog,
climatologyMeteorologyAtmosphere,
completed,
environment
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Colorado Plateau,
Great Basin,
Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence...
The Blueprint 1.0 Development Process is a final report that explains in detail how the Conservation Blueprint was created.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: LCC Network Science Catalog,
Report,
Report,
biota,
climatologyMeteorologyAtmosphere,
The Blueprint 2.2 Data Download is a .zip file containing all of the spatial data associated with the Blueprint 2.2.
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
This webinar covers two linked projects to increase the amount of water temperature data for the Bristol Bay and Kodiak Archipelago regions of Alaska.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: LCC Network Science Catalog,
RIVERS/STREAM HABITAT,
RIVERS/STREAM HABITAT,
RIVERS/STREAMS,
RIVERS/STREAMS,
Nearshore bathymetry is a vital link that joins offshore water depths to coastal topography. Seamless water depth information is a critical input parameter for reliable storm surge models, enables the calculation of sediment budgets and is necessary baseline data for a range of coastal management decisions. Funding from the Western Alaska LCC resulted in the purchase of field equipment capable of shallow water measurements in rural settings, allowing collection of nearshore bathymetry around western Alaska communities. The resulting vector data shape files of nearshore bathymetry for Gambell, Savoonga, Golovin, Wales, Shismaref, and Hooper Bay are available by following the link below.
This project evaluated the potential impacts of storm surges and relative sea level rise on nesting geese and eider species that commonly breed on the Yukon-Kuskokwim Delta (Y-K Delta). Habitat suitability maps for breeding waterbirds were developed to identify current waterbird breeding habitat and distributions. Short-term climate change impacts were assessed by comparing nest densities in relation to magnitude of storms that occurred in the prior fall from 2000-2013. Additionally, nest densities were modeled using random forests in relation to the time-integrated flood index (e.g., a storm specific measure accounting for both water depth and duration of flooding) for four modeled storms (2005, 2006, 2009, and...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIRDS,
BIRDS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
DELTAS,
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U.S. Department of the Interior
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U.S. Geological Survey
