CONUS (Continental U.S.) II High Resolution Present and Future Climate Simulation
d612005
<p>The CONUS II simulations aim to partially address both the need to capture inherent climate internal variability and greenhouse gas induced atmospheric variability by using the mean of the CMIP5 model for both present and historical mean climate as the CONUS boundary forcing. This forcing is applied to a 4km horizontal resolution Weather Research and Forecasting (WRF) model to produce a mesoscale hydro-climate of two 20-year runs covering a current period from 1996-2015 and a future period from 2080-2099 over the CONUS domain.</p> <p>The characteristics of these simulations are: 1) more realistic depiction of the mesoscale terrain features, critical to the successful simulation of mountainous precipitation, 2) the ability to realistically simulate the major summer precipitation producer in the central U.S. without the need of conventional cumulus parameterizations.</p>
dataset
https://gdex.ucar.edu/datasets/d612005/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d612005/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
WRF > Weather Research and Forecasting (WRF) Model
revision
2025-10-09
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > SKIN TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > UPPER AIR TEMPERATURE
revision
2025-10-09
-146.85446661403844
-44.742463506229115
70.46261479472462
15.578380827344233
1995-01-01T0000+00
2100-12-31T1800+00
publication
2021-03-26
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
function: download
pointOfContact
2025-10-17T01:05:24Z