Prediction Research on Anomalous Atmospheric General Circulation in 1998

Wang, Huijun

doi:10.1002/cjg2.192

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…Generally, CGCM's uncertainties, which usually result from the nonlinear interaction of the component of the climatic system (Tebaldi et al, 2004;Held et al, 2002), have two types. The first one is due to uncertainty of the physical parameterization (Meehl et al, 2007;Moss and Schneider, 2000;Wittenberg and Anderson, 1998;Dorn et al, 2007), and the other one is from amplification of the computational errors (Cousins and Xue, 2001;Wang et al, 2007;Chen et al, 2008). Those results suggest that uncertain processes or parameterization schemes could cause a quite large uncertainty of the climate simulations.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, they concluded that the error from the data communication process via MPI is the main reason for the difference. Wang et al (2007) studied the results of the atmospheric model SAMIL simulated with different CPUs and pointed out that the difference is chiefly caused by the round-off error. Chen et al (2008) introduced the uncertainty of the global mean Sea Surface Temperature (SST) simulated by the Community Climate System Model Version 3 (CCSM3) with different computational platforms or different CPU configuration.…”

Section: Introductionmentioning

confidence: 99%

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Influence of parallel computational uncertainty on simulations of the Coupled General Climate Model

Song¹,

Qiao²,

Lei³

et al. 2011

Preprint

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This paper investigates the impact of the parallel computational uncertainty on climate simulations using the Community Climate System Model Version 3 (CCSM3). A series of sensitivity experiments have been conducted and the analyses are focused on the Global and Nino3.4 sea surface temperatures. It is shown that the amplitude of the deviation induced by the parallel computational uncertainty is the same order as that of the climate system change. However, the ensemble mean method can reduce the influence and the ensemble member number of 15 is enough to ignore simulated errors. For climatology, the influence can be ignored when the climatological mean is calculated by using more than 30-yr simulations. It is also found that the parallel computational uncertainty has no effect on the simulated periods of climate variability such as ENSO. Finally, it is suggested that the influence of the parallel computational uncertainty on Coupled General Climate Models (CGCMs) can be a quality standard or a metric for developing CGCMs

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of parallel computational uncertainty on simulations of the Coupled General Climate Model

Song¹,

Qiao²,

Lei³

et al. 2011

Preprint

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“…In order to perform better prediction for the summer rainfall, antecedent signals have been widely sought in the past few years. Studies by Wang et al [2000] and Wang [2001] demonstrated that the summer rainfall in the Yangtze River was largely influenced by the anomalies of the preceding Eurasian atmospheric circulations. It is also documented that Arctic Oscillation and Antarctic Oscillation in spring linked strongly to the summer precipitation in the Yangtze River valley [ Gong et al , 2002; Gong and Ho , 2003; Gao et al , 2003; Xue et al , 2003; Nan and Li , 2003].…”

Section: Introductionmentioning

confidence: 99%

Relationship between the boreal spring Hadley circulation and the summer precipitation in the Yangtze River valley

Zhou¹,

Wang²

2006

J. Geophys. Res.

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[1] The connection between the boreal spring Hadley circulation (HC) and variability of the following summer east Asian atmospheric circulations and precipitation in the Yangtze River valley is investigated through an analysis of the observed data in this study. It is found that there is a significantly positive correlation between HC and the summer rainfall in the Yangtze River valley. This relationship is well supported by the changes of atmospheric general circulation backgrounds and water vapor conditions related to the variation of the preceding boreal spring HC. The summer situations of strengthened western Pacific subtropical high (WPSH), intensified South Asian high (SAH), southward located east Asian jet (EAJ) and enhanced water vapor corresponding to strong spring HC provide favorable conditions for increasing the precipitation in the Yangtze River valley and vice versa. The possible mechanism how the boreal spring HC affects summer atmospheric circulations is identified preliminarily in the study. Results show that sea surface temperature (SST) anomalies in the Indian Ocean and South China Sea may play an important role in linking the spring HC and summer atmospheric circulations. Spring HC may evoke SST anomalies in the Indian Ocean and South China Sea, which can persist from spring to summer and in turn give rise to anomalous east Asian summer monsoon. As a result, summer rainfall in the Yangtze River valley may be influenced.Citation: Zhou, B., and H. Wang (2006), Relationship between the boreal spring Hadley circulation and the summer precipitation in the Yangtze River valley,

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“…The results are fairly good among the models of participants in two phase simulations which are 18-month run from April 1997 to September and 10-year run from January 1989 to December 1998 [18,19] . The severe flooding disaster occurred over the Yangtze River Valley and Northeast China in July 1998 [20] . This model reproduced well the main characteristics of the water vapor transport during the heavy rain period [19] .…”

Section: Resultsmentioning

confidence: 99%

A Preliminary Study on the Heterogeneous Chemical Processes on the Surface of Dust Aerosol and Its Effect on Climate

Liu¹,

Jiang²

2004

Chinese J of Geophysics

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In this paper, we set up a heterogeneous chemical model which includes dust emission and connected it to an advanced meso‐scale meteorological—atmospheric chemical model system. A lot of cases were simulated by this model system to study the heterogeneous chemical process of dust aerosol and its climate effect. The results show that the heterogeneous reaction will reduce the concentration of SO2 and O3 but increase sulfate concentration. In some areas, it can decrease the NO2 concentration, but it can also increase it in other areas. The change of annual average sulfate is 2.6mg/m2. The maximum values of radiative forcing caused by heterogeneous reaction are −0.24,−1.0,−2.0,−0.6W/m2 respectively in January, April, July, and October. The annual average radiative forcing is −0.033W/m2. The maximum temperature variation in January, April, July, October are −0.16,−0.35,−0.5,−0.48K respectively and the annual temperature variation in whole domain is –0.021K. The heterogeneous process also has evident effect on precipitation.

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Prediction Research on Anomalous Atmospheric General Circulation in 1998

Cited by 7 publications

References 5 publications

Influence of parallel computational uncertainty on simulations of the Coupled General Climate Model

Influence of parallel computational uncertainty on simulations of the Coupled General Climate Model

Relationship between the boreal spring Hadley circulation and the summer precipitation in the Yangtze River valley

A Preliminary Study on the Heterogeneous Chemical Processes on the Surface of Dust Aerosol and Its Effect on Climate

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