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  4. Taiwan Earth System Model Version 1: Description and evaluation of mean state
 
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Taiwan Earth System Model Version 1: Description and evaluation of mean state

Journal
Geoscientific Model Development
Journal Volume
13
Journal Issue
9
Pages
3887-3904
Date Issued
2020
Author(s)
Lee, W.-L.
Wang, Y.-C.
Shiu, C.-J.
Tsai, I.-C.
Tu, C.-Y.
Lan, Y.-Y.
Chen, J.-P.
Pan, H.-L.
JEN-PING CHEN  
DOI
10.5194/gmd-13-3887-2020
URI
https://www.scopus.com/inward/record.url?eid=2-s2.0-85091535258&partnerID=40&md5=4fca878219e105d9383dc9652fc7607d
https://scholars.lib.ntu.edu.tw/handle/123456789/542525
Abstract

The Taiwan Earth System Model (TaiESM) version 1 is developed based on Community Earth System Model version 1.2.2 of National Center for Atmospheric Research. Several innovative physical and chemical parameterizations, including trigger functions for deep convection, cloud macrophysics, aerosol, and three-dimensional radiation-topography interaction, as well as a one-dimensional mixed-layer model optional for the atmosphere component, are incorporated. The precipitation variability, such as diurnal cycle and propagation of convection systems, is improved in TaiESM. TaiESM demonstrates good model stability in the 500-year preindustrial simulation in terms of the net flux at the top of the model, surface temperatures, and sea ice concentration. In the historical simulation, although the warming before 1935 is weak, TaiESM captures the increasing trend of temperature after 1950 well. The current climatology of TaiESM during 1979-2005 is evaluated by observational and reanalysis datasets. Cloud amounts are too large in TaiESM, but their cloud forcing is only slightly weaker than observational data. The mean bias of the sea surface temperature is almost 0, whereas the surface air temperatures over land and sea ice regions exhibit cold biases. The overall performance of TaiESM is above average among models in Coupled Model Intercomparison Project phase 5, particularly in that the bias of precipitation is smallest. However, several common discrepancies shared by most models still exist, such as the double Intertropical Convergence Zone bias in precipitation and warm bias over the Southern Ocean.

. © 2020 Copernicus GmbH. All rights reserved.
SDGs

[SDGs]SDG13

[SDGs]SDG15

Other Subjects
atmospheric convection; cloud cover; CMIP; cold front; diurnal variation; intertropical convergence zone; parameterization; sea ice; sea surface temperature; three-dimensional modeling; Southern Ocean; Taiwan
Type
journal article

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