for the conterminous United States that are derived from the General
Circulation Model (GCM) runs conducted under the Coupled Model
Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012)
and across the four greenhouse gas emissions scenarios known as
Representative Concentration Pathways (RCPs, see Meinshausen et al. 2011)
developed for the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change (IPCC AR5). The purpose of these datasets is to provide
a set of high resolution, bias-corrected climate change projections that
can be used to evaluate climate change impacts on processes that are
sensitive to finer-scale climate gradients and the effects of local
topography on climate conditions.
The dataset contains monthly projections covering the periods from 1950
through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run).
It includes downscaled projections from 33 models. Not every
scenario contains projections from every model.
NEX-DCP30 was prepared by the Climate Analytics Group and NASA Ames
Research Center using the NASA Earth Exchange, and distributed by the NASA
Center for Climate Simulation (NCCS).
Version 1
The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios
for the conterminous United States that are derived from the General
Circulation Model (GCM) runs conducted under the Coupled Model
Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012)
and across the four greenhouse gas emissions scenarios known as
Representative Concentration Pathways (RCPs, see Meinshausen et al. 2011)
developed for the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change (IPCC AR5). The purpose of these datasets is to provide
a set of high resolution, bias-corrected climate change projections that
can be used to evaluate climate change impacts on processes that are
sensitive to finer-scale climate gradients and the effects of local
topography on climate conditions.
The dataset contains monthly projections covering the periods from 1950
through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run).
It includes downscaled projections from 33 models. Not every
scenario contains projections from every model.
NEX-DCP30 was prepared by the Climate Analytics Group and NASA Ames
Research Center using the NASA Earth Exchange, and distributed by the NASA
Center for Climate Simulation (NCCS).
Name | Description | Gee Unit |
---|---|---|
pr | Monthly mean of the daily precipitation rate at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective) | kg/(m^2*s) |
tasmin | Monthly mean of the daily-minimum near-surface air temperature | K |
tasmax | Monthly mean of the daily-maximum near-surface air temperature | K |
Providers | |
---|---|
NASA / CSU (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.0 |
Keywords | climate, cmip5, csu, geophysical, nasa, nex, precipitation, temperature |
License | proprietary |
Temporal Extent | 12/31/1949, 4:00:00 PM - 12/30/2099, 4:00:00 PM |
Citation | Thrasher, B., J. Xiong, W. Wang, F. Melton, A. Michaelis and R. Nemani (2013), Downscaled Climate Projections Suitable for Resource Management, Eos Trans. AGU, 94(37), 321. |
Type | image_collection |
GSD | arc secondsm |
Cadence | month |
Asset schema | {"name":"scenario","description":"Name of the CMIP5 scenario. It is one of: 'historical', 'rcp26', 'rcp45', 'rcp60', 'rcp85', where 'historical' designates retrospective model runs (pre-2006).","type":"STRING"},{"name":"model","description":"Name of the CMIP5 model. It is one of 'ACCESS1-0', 'bcc-csm1-1', 'bcc-csm1-1-m', 'BNU-ESM', 'CanESM2', 'CCSM4', 'CESM1-BGC', 'CESM1-CAM5', 'CMCC-CM', 'CNRM-CM5', 'CSIRO-Mk3-6-0', 'FGOALS-g2', 'FIO-ESM', 'GFDL-CM3', 'GFDL-ESM2G', 'GFDL-ESM2M', 'GISS-E2-H-CC', 'GISS-E2-R', 'GISS-E2-R-CC', 'HadGEM2-AO', 'HadGEM2-CC', 'HadGEM2-ES', 'inmcm4', 'IPSL-CM5A-LR', 'IPSL-CM5A-MR', 'IPSL-CM5B-LR', 'MIROC5', 'MIROC-ESM', 'MIROC-ESM-CHEM', 'MPI-ESM-LR', 'MPI-ESM-MR', 'MRI-CGCM3', 'NorESM1-M'.","type":"STRING"},{"name":"metric","description":"Calendar month","type":"DOUBLE"} |