S2S Hindcasts
d651060
This dataset contains subseasonal-to-seasonal (S2S) hindcasts with CESM2 that were carried out as a community project and with community analysis in mind. These forecasts consist of 45-day long runs initialized every Monday from 1999 to 2019, 11 ensemble members. Output includes atmospheric, land, ocean and sea-ice variables (many requested by the community). These simulations are in support of the work done by the newly formed Earth System Predictability Working Group within CESM.
dataset
https://rda.ucar.edu/datasets/d651060/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d651060/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
CESM > NCAR Community Earth System Model
revision
2025-06-17
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > UPPER LEVEL WINDS
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION
EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS > Stability/Severe Weather Indices > CONVECTIVE AVAILABLE POTENTIAL ENERGY (CAPE)
revision
2025-06-09
1999
2023
publication
2025-07-01
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
7605182193
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
function: downlaod
pointOfContact
2025-07-01T18:05:02Z