Skip to main content
Advanced Search

Filters: Contacts: {oldPartyId:4739} (X)

23 results (103ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The data release consists of a single NetCDF file with results from a suite of ice sheet model simulations. We ran with Community Ice Sheet Model (CISM2) with input from models used in the Palaeoclimate Modelling Intercomparison 3 (PMIP3). The NetCDF file contains output from model year 50,000 for a limited number of variables to keep the file size reasonably small. This subset of variables are the ones we focus our analysis and paper on.
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
thumbnail
The climate of the North Central U.S. is driven by a combination of factors, including atmospheric circulation patterns, the region’s complex topography which extends from the High Rockies to the Great Plains, and variations in hydrology. Together, these factors determine the sustainability of the region’s ecosystems and the services that they provide communities. In order to understand the vulnerability of the region’s ecosystems to change, it is necessary to have reliable projections of future climate conditions. To address this need, researchers first examined past and present variations in climate and assessed the ability of climate models to effectively project future climate conditions for the region. Second,...
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
The Regional Climate Downloader (RCD) is a more advanced web application that can be used to visualize and download data from our Thredds catalog. The application displays all variables and time periods currently available in the catalog. In the RCD, the model data can subsetted by location, time period and variables. Detailed information and usage instructions can be found in RCD Tutorial. We also provide two tutorials (Climatology 401, 501) that focus on downloading and manipulating the data locally in numerical software packages.
The Regional Climate Change Viewer (RCCV) is a straightforward application that allows users to visualize and download selected subsets of the data from the Dynamical Downscaling project. The data are averages over political boundaries (states and counties) and USGS hydrologic units (HUC2, HUC4, HUC8). The currently available variables are :temperature, precipitation, soil moisture, snow, growing degree days and evapotranspiration). Detailed information and usage instructions can be found in the RCCV Tutorial. We also provide a series of progressively more in-depth tutorials (Climatology 101, 201, 301) that focus on downloading and manipulating the data locally in a spreadsheet. A detailed description of additional...
thumbnail
Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Greater Yellowstone Climate Assessment. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 GCMs from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
thumbnail
This project produced long simulations (multi-decadal to multi-century in scale) of past, present, and future regional climate at a grid spacing of 50 kilometers (km) over North America and at a grid spacing of 15 km over western and eastern North America. These model runs were the first attempt to achieve coordinated, high-resolution downscaling with such wide geographic and temporal coverage. The objectives of this project were to (1) understand the nature of climate change and variability, (2) quantify the climate-driven responses and feedbacks of terrestrial and aquatic ecosystems, wildfire, the hydrologic cycle, and alpine glaciers, and (3) provide climate information in a form that is useful to a wide range...
thumbnail
Conservation and natural resource managers require information about potential future climate changes for the areas they manage, in terms that are relevant for the specific biotic and environmental resources likely to be affected by climate change. We produced a suite of data sets that provide managers with climate and climate-derived data and a visualization approach that allows managers to map where 1) a managed area's potential future climate is located on today's landscape (i.e., the locations of the modern analogues of future climate) and 2) the areas to which the present climate (and habitat) of managed areas are projected to move. We produced downscaled climate data from historical (1901-2000) data sets and...
The Lake-Atmosphere Interactions project (LAIP) develops and applies regional and global climate models and surface process models in the context of broadly interdisciplinary research aimed at addressing past, present and future climate hypotheses, questions and issues and at providing climate data for applied research. The project research is conducted across a wide range of temporal (the past 106 years and into the future) and spatial (global to local) scales. Project objectives are achieved by developing and applying a variety of numerical models, visualization techniques, web-based applications and statistical methods to quantify and explain interactions between the atmosphere, lakes, aquatic and terrestrial...
thumbnail
Natural and anthropogenic land use are integral to the climate system and land use change is both a driver of, and responder to changes in climate. The potential for land use and land use change to affect global and regional climate plays a central role in the development of scenarios for greenhouse gas emissions that are used in climate model simulations. Climate models are well suited for exploring interactions with land use and land use change and a number of global and regional modeling studies have investigated past, present, and potential future climate responses induced by land use change. We assess climate responses to the land use change in the Eastern United States and Cuba during four epochs (1650, 1850,...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
Abstract: We present a new, non-flux corrected AOGCM, GENMOM, that combines the GENESIS version 3 atmospheric GCM (Global Environmental and Ecological Simulation of Interactive Systems) and MOM2 (Modular Ocean Model version 2) nominally at T31 resolution. We evaluate GENMOM by comparison with reanalysis products (e.g., NCEP2) and three models used in the IPCC AR4 assessment. GENMOM produces a global temperature bias of 0.6 °C. Atmospheric features such as the jet stream structure and major semi-permanent sea level pressure centers are well simulated as is the mean planetary-scale wind structure that is needed to produce the correct position of stormtracks. Most ocean surface currents are reproduced except where...
Categories: Publication; Types: Citation; Tags: National CASC
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...


map background search result map search result map A Visualization Approach for Projecting Future Climate Distributions in North America Understanding Extreme Climate Events in the North Central U.S. Downscaled Climate Change Modeling for the Conterminous United States (National Assessment) Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data Regional climate modeling and land use change data for the Eastern United States and Cuba (1650, 1850, 1920, and 1992) Data release for Greater Yellowstone Climate Assessment (vol 1), Chapter 7. Future Water Projections for the GYA CMIP5 MACAv2-METDATA Monthly Water Balance Model Projections 1950-2099 for the Contiguous United States Snow Water Equivalent Soil Moisture Storage Potential Evapotranspiration Actual Evapotranspiration Evapotranspiration Deficit Data release for Greater Yellowstone Climate Assessment (vol 1), Chapter 7. Future Water Projections for the GYA Understanding Extreme Climate Events in the North Central U.S. Regional climate modeling and land use change data for the Eastern United States and Cuba (1650, 1850, 1920, and 1992) CMIP5 MACAv2-METDATA Monthly Water Balance Model Projections 1950-2099 for the Contiguous United States Snow Water Equivalent Soil Moisture Storage Potential Evapotranspiration Actual Evapotranspiration Evapotranspiration Deficit Downscaled Climate Change Modeling for the Conterminous United States (National Assessment) Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data A Visualization Approach for Projecting Future Climate Distributions in North America