Validation of Simulation on Surface Shortwave Radiation over East Asia by Global Climate Models

Wang Fang; Ding Yihui

Vol.19, NO.6, 2008

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Wang Fang, Ding Yihui. Validation of simulation on surface shortwave radiation over East Asia by global climate models. J Appl Meteor Sci, 2008, 19(6): 749-759.

Citation:

Wang Fang, Ding Yihui. Validation of simulation on surface shortwave radiation over East Asia by global climate models. J Appl Meteor Sci, 2008, 19(6): 749-759.

Wang Fang, Ding Yihui. Validation of simulation on surface shortwave radiation over East Asia by global climate models. J Appl Meteor Sci, 2008, 19(6): 749-759.

Citation:

Wang Fang, Ding Yihui. Validation of simulation on surface shortwave radiation over East Asia by global climate models. J Appl Meteor Sci, 2008, 19(6): 749-759.

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Validation of Simulation on Surface Shortwave Radiation over East Asia by Global Climate Models

National Climate Center, Beijing 100081

Received Date: 2008-03-26
Rev Recd Date: 2008-09-08
Publish Date: 2008-12-31

Abstract

Abstract

Surface shortwave radiation (SSR) plays an important role in surface energy balance.The ability to simulate the disposition and variation of SSR in CGCMs has direct effects on climate projection for the future.Especially the simulation on East Asia monsoon may be affected by the impacts of SSR on surface thermal condition.So it is necessary to validate the ability of CGCMs to simulate SSR in East Asia.By use of 18 CGCMs output provided by WCRPCMIP3 and ERA40 reanalysis data, the ability of GCMs to simulate East Asia SSR is validated through ensemble analysis.The simulation shows remarkable differences among models.The simulated SSR and clear-sky SSR are generally higher than ERA40, while the effect of cloud on SSR (SSCRF) is generally weak.Multi-model ensemble is simulated at about 8.7 W/m² and 3.4 W/m² for SSR and clear-sky SSR respectively, and about 5.3 W/m² lower for SSCRF as compared to ERA40.The standard deviation (STDEV) among different models is 9.6, 7.8 W/m² and 8 W/m² for SSR, clear-sky SSR and SSCRF, respectively.The phase characteristics are simulated well for seasonal variation of zonally-averaged SSR, although there is a great gap in magnitude.The simulation is obviously higher in the south of 30°N, especially in summer hemisphere, which is 30—50 W/m² higher, mainly due to combined effects of low simulation on SSCRF and overestimation of clear-sky SSR both of which have a positive deviation on the SSR simulation. In the north of 30°N, SSR is mainly low by simulation due to the higher simulation of SSCRF.The root mean square deviation (RMSD) in summer is higher than in winter.Multi-model ensemble of RMSD is 34.7, 17.1 W/m² and 29.1 W/m² for SSR, clear-sky SSR and SSCRF, respectively, which shows the great effect of cloud on SSR modeling.The STDEV of different model RMSD is 12.5, 11.3 W/m² and 10.2 W/m², respectively, showing little difference.The linear decrease in annual downscaling SSR can be simulated rather well by multi-model ensemble. However, for clear-sky downscaling SSR and downscaling SSCRF, the simulation is not good, in other words, the decrease trend of clear-sky downscaling SSR is overestimated by models, while the adverse trend of downscaling SSCRF is given as compared to ERA40.
- climate model;
- East Asia;
- surface shortwave radiation

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References(17)

Figures and Tables

图 1 多模式集合地表短波辐射、睛空地表短波辐射和地表短波云辐射强迫与ERA的差值

(Ensemble-ERA40)(单位:W/m², 阴影部分表示通过0.01的显著性检验)

Fig. 1 Difference of surface shortwave radiation (SSR), clear-sky SSR, and surface shortwavw cloud radiative forcing (SSCRF) between multi-model ensemble and ERA40(Ensemble-ERA 40)

(unit :W/m², shaded areas denote passing the test of 0.01 level)

DownLoad: Full-Size Img PowerPoint

图 2 多模式集合地表反照率 (单位:%) 和晴空地表入射短波辐射 (单位:W/m²) 与ERA的差值 (Model-ERA40)

Fig. 2 Difference of surface albedo (unit :%) and clear-sky downscaling shortwave radiation (unit :W/m²) between multi-model ensemble and ERA 40(Ensemble-ERA40)

DownLoad: Full-Size Img PowerPoint

图 3 不同模式模拟的区域平均地表短波辐射、晴空地表短波辐射和地表短波云辐射强迫相对ERA 40的差值 (M odel-ERA40)(单位:W/m²)

Fig. 3 Regional average difference between simulation and ERA 40 for SSR, clear-sky SSR and SSCRF (Model-ERA40)(unit:W/m²)

DownLoad: Full-Size Img PowerPoint

图 4 ERA 40和多模式集合模拟的地表短波辐射、晴空地表短波辐射和地表短波云辐射强迫的纬向平均季节变化 (等值线) 及其的差值 (Ensemble-E RA40, 阴影)(单位:W/m²)

Fig. 4 Seasonal variation of zonally averaged SSR, clear-sky SSR and SSCRF for ERA 40 and multi-model ensemble (contour) and their difference (shaded, Ensemble-E RA40)(unit :W/m²)

DownLoad: Full-Size Img PowerPoint

图 5 地表短波辐射、晴空地表短波辐射和地表短波云辐射强迫的多模式集合均方根偏差 (等值线) 和模式间差异标准差 (阴影)(单位:W/m²)

Fig. 5 Multi-model ensemble of root mean square deviation (contour) and inter-model standard deviation (shaded) of SSR, clear-sky and SSCRF (unit :W/m²)

DownLoad: Full-Size Img PowerPoint

图 6 区域平均均方根偏差和标准差的季节变化

(a) 地表短波辐射, (b) 晴空地表短波辐射, (c) 地表短波云辐射强迫, (d) 地表短波云辐射强迫与晴空地表短波辐射的比值

Fig. 6 Seasonal variation of regional average of root mean square deviation and standard deviation

(a) SSR, (b) clear-sky SSR, (c) SSCRF, (d) ratio of SSCRF to clear-sky SSR

DownLoad: Full-Size Img PowerPoint

图 7 地表入射短波辐射年际变化 (a) 地表入射短波辐射, (b) 晴空地表入射辐射, (c) 地表短波云辐射强迫, (d) 模式间标准差

Fig. 7 Annual variation of surface downscaling shortwave radiation (a), clear-sky surface downscaling shortwave radiation (b), surface shortwave cloud radiative forcing (c) and inter-model standard deviation (d)

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表 1 多模式集合均方根偏差和模式间标准差之间的空间相关系数

Table 1 Spandard coef ficients between multi-model ensemble of root mean square devlation and inter-model standard deviation

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