Air–Sea Coupling Feedbacks over Tropical Instability Waves
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13788241
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains a selection of the CROCO-WRF regional coupled model simulation output created and published in the article:
Holmes, R., Renault, L., Maillard, L. and Boucharel, J. (2024) Air-sea coupling feedbacks over Tropical Instability Waves, J. Phys. Oceanogr., https://doi.org/10.1175/JPO-D-24-0010.1
This dataset contains monthly-averaged output of several key surface variables analysed in the above article. These variables are provided for each of the 5 ensemble members of each of the 4 experiments: 1) the Control, 2) the NoMesoTFB experiment, 3) the NoMesoCFB experiment and 4) the NoCFB experiment. Each of the included tar archives contains all the variables for that experiment. For each experiment, this consists of the following files:
croco_out_mon_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean SST (temp), zonal velocity (u), meridional velocity (v) and sea level (zeta).
croco_out_mon_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (using the longitude filter described in the article) variances of SST (SST_hp_var), zonal velocity (U_hp_var), meridional velocity (V_hp_var), eddy wind work zonal component (high-pass(u)*high-pass(tau_x), EWWU) and eddy wind work meridional component (high-pass(v)*high-pass(tau_y), EWWV).
wrf3d_1M_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (net surface heat flux) * high-pass (SST), computed on the WRF grid using the longitude filter described in the article [QofSST_hp]. This can be used to compute the APE production by surface heat flux anomalies.
This is only a subset of the data used in the article, the largest subset of useful variables that fits within the 50GB Zenodo limit. If other variables are of interest, please contact the lead author.
An extensive set of analysis scripts is available on github at https://github.com/rmholmes/PAC12_75_cpl-analysis.
创建时间:
2024-09-20



