Global and tropical band averages for a selection of CMIP5 and CMIP6 models: piControl and abrupt-4xCO2 experiments (compressed)
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下载链接:
https://zenodo.org/record/6531207
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资源简介:
This dataset provides post-processed spatial averages for a selection of 55 CMIP5 and CMIP6 models. The experiments contained in this dataset are only the pre-industrial controls (piControl) and the experiments with a four-fold increase in the atmospheric CO$_{2}$ concentration in relation to the pre-industrial level (abrupt-4xCO2). The spatial averages are global and tropical bands from x°S to x°N, where the x value is between 5 and 40 in increments of 5°. This dataset was created to study climate sensitivity in general and the effect of stratospheric circulation changes on the tropical equilibrium climate sensitivity. It contains the following variables:
incoming (d) short-wave (SW, s) radiative flux (RF, r) at the top of the atmosphere (TOA, t): rsdt
outgoing (u) SW RF at TOA: rsut
outgoing long-wave (LW, l) RF at TOA: rlut
net (n) RF at TOA: rnt*
incoming SW RF at the surface (s): rsds
outgoing SW RF at the surface: rsus
incoming LW RF at the surface: rlds
outgoing LW RF at the surface: rlus
net RF at the surface: rns*
sensible heat flux (hfs) at the surface: hfss
latent heat flux (hfl) at the surface: hfls
surface temperature (t): ts
atmospheric temperature: ta
specific humidity: hus
zonal component of wind: ua
meridional component of wind: va
lagrangian tendency of pressure (vertical component of wind in pressure per time dimensions): wap
surface pressure: ps
geopotential height: zg
*rnt and rns were calculated for the creation of this dataset using the model output rlut rsut, rsds, rsus, rlds, rlus.
This version updates the previous version by providing the dataset in a compressed tarball. Use `tar -xzvf CMIP_data.tar.gz` to extract and decompress.
创建时间:
2022-05-09



