Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Ma, Jialiang; Xu, Shiming; Wang, Bin (2020): CESM coupled simulation dataset with new (Mod_cp) and original (F09) dynamical coupling scheme between atmosphere and ocean [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.915970

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
1. Coupled models simulate air-sea interaction by coupling components models together. However, in state-of-the-art models such as CESM, the atmospheric model contains dynamic core and physic parameterization that are not differentiated during air-sea interaction. The dynamics-physics (D-P) coupling in CAM causes the prognostic winds of the dynamic core be interpolated onto non-staggered locations. We propose a new dynamical coupling scheme (denoted as Mod_cp) that eliminates the extra interpolation during D-P coupling for the atmosphere-ocean interaction, reducing the numerical diffusion during the dynamics-physics coupling for air-sea interactions.
2. Using new and original dynamical coupling scheme, two coupled simulations (100 years) were conducted. Climatology of atmosphere (cam), ocean (ocn) and sea ice (ice) model simulations are archived here (last 50 years). The resolution is around 1 latitude x 1 longitude.
3. B1850_mod_cp denotes the simulation with new dynamical coupling scheme, B1850_f09_g16 denotes the simulation with original scheme.
Keyword(s):
air-sea interaction; coupled model; dynamical coupling scheme
Related to:
Ma, Jialiang; Xu, Shiming; Wang, Bin (2020): Reducing Numerical Diffusion in Dynamical Coupling between Atmosphere and Ocean in Community Earth System Model (CESM), version 1.2.1. Earth and Space Science (ESS), 42 pp, https://doi.org/10.1002/essoar.10501622.1
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File nameFile nameMa, Jialiang
2File formatFile formatMa, Jialiang
3File sizeFile sizekByteMa, Jialiang
4Uniform resource locator/link to fileURL fileMa, Jialiang
Size:
24 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML