NCAR RDA Dataset d651060

S2S Hindcasts

d651060

| DOI: 10.5065/0S63-M767

Abstract:

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.

Temporal Range:

1999 to 2023

Variables:

Convective Available Potential Energy (cape)	Liquid Precipitation	Surface Pressure	Surface Temperature
Upper Level Winds

Data Types:

Grid

Data Contributors:

UCAR/NCAR/CGD

Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research

Total Volume:

52.28 TB (Entire dataset) Volume details by dataset product Volume details by dataset product S2S Hindcasts Non-Atmosphere Files: 9.21 TB S2S Hindcasts Priority 2 Variables Files: 2.37 TB S2S Hindcasts Z3 Files: 10.52 TB S2S Hindcasts 3-Hourly Files: 1.08 TB S2S Hindcasts T Files: 1.24 TB S2S Hindcasts RELHUM Files: 1.67 TB S2S Hindcasts UQ Files: 1.69 TB S2S Hindcasts U Files: 1.66 TB S2S Hindcasts Q Files: 1.55 TB S2S Hindcasts VQ Files: 1.78 TB S2S Hindcasts OMEGA Files: 1.92 TB S2S Hindcasts Daily Files: 3.33 TB S2S Hindcasts 6-Hourly Files: 4.48 TB S2S Hindcasts V Files: 6.51 TB S2S Hindcasts Priority 1 Variables Files: 1.54 TB S2S Hindcasts Priority 3 Variables Files: 1.75 TB

Data Formats:

netCDF

Related RDA Datasets:

d651061

S2S Hindcast MJO Cases

d651062

S2S Hindcast TC Tracks

d651063

S2S Hindcasts Climatology Studies

Metadata Record:

Data License:

This work is licensed under a Creative Commons Attribution 4.0 International License.

Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.