The Impact of Initial Conditions on Soil Moisture Predictability in Early Summer in Eastern China

Li Yanda; Wu Tongwen; Liu Xiangwen; Jie Weihua

doi:10.11898/1001-7313.20180404

Vol.29, NO.4, 2018

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Article Navigation > Journal of Applied Meteorological Science > 2018 > 29(4): 423-435

Li Yanda, Wu Tongwen, Liu Xiangwen, et al. The impact of initial conditions on soil moisture predictability in early summer in Eastern China. J Appl Meteor Sci, 2018, 29(4): 423-435. DOI: 10.11898/1001-7313.20180404.

Citation:

Li Yanda, Wu Tongwen, Liu Xiangwen, et al. The impact of initial conditions on soil moisture predictability in early summer in Eastern China. J Appl Meteor Sci, 2018, 29(4): 423-435. DOI: 10.11898/1001-7313.20180404.

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The Impact of Initial Conditions on Soil Moisture Predictability in Early Summer in Eastern China

DOI: 10.11898/1001-7313.20180404

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
National Climate Center, Beijing 100081

Received Date: 2018-01-15
Rev Recd Date: 2018-05-22
Publish Date: 2018-07-31

Abstract

Abstract

Soil moisture has an important impact on weather and climate. Some previous soil moisture initialization experiments indicate that appropriate initial soil moisture can improve the forecasting skill of the model. The development of land surface initialization method is the urgent demand for improving the forecasting ability of the land model. However, studies about the predictability of the soil moisture in model are still relatively insufficient. To investigate the impact of soil moisture initial value on the prediction of soil moisture in BCC_CSM2_MR model, two experiments are carried out using a respectively true initial value of soil moisture (OH experiment) and an ideal initial value of soil moisture climatology (CH experiment). The lack of soil moisture observations and coordination between the observation and model is a difficult problem in the development of land initialization method. The GSWP (Global Soil Wetness Project) introduces a new method to get the appropriate land initial data. The method indicates land initial data can be obtained using the accurate observed field (including atmospheric field, precipitation data, and radiation field) to force the land model. Therefore, an OF experiment is designed, which forces BCC_CSM model from 1994 to 2013 by using the NCEP atmospheric reanalysis data and China National Meteorological Information Center (NMIC) precipitation data to produce a good model initial value. The soil moisture from OF experiment can reflect the observed distribution and variation of soil moisture over eastern China as the corresponding correlation is high. Thus, it will be used as observations. Based upon soil moisture data from OF experiment, OH and CH experiments are respectively initialized on 1 May during 1994-2013, and the lead time is six months. Comparison of two hindcast experiments shows that the predictability of soil moisture in BCC_CSM model is about 3 pentads in surface layer and even exceeds 1 month in deep layer in some regions of China. At the same time, soil moisture initialization has an impact on forecast skill of soil moisture. This impact can reach 2-3 pentads in surface layer and longer in deeper layer. Variations of soil moisture in shallow layers strongly depend on variations of rainfall, and there is a 1-2 days lag between variations of soil moisture and rainfall, but about 5 days for that in the middle layers.
- BCC_CSM model;
- soil moisture;
- predictability

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Figures and Tables

图 1 2008—2013年5—6月平均表层土壤湿度分布(a)OF试验，(b)NMIC再分析资料

Fig. 1 Distributions of mean soil moisture at ground surface averaged from May to Jun in 2008-2013 (a)OF experiment, (b)NMIC reanalysis data

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图 2 2008—2013年5—6月平均表层土壤湿度年际变化方差分布(a)OF试验，(b)NMIC再分析资料

Fig. 2 Standard deviations of soil moisture at ground surface averaged from May to Jun in 2008-2013 (a)OF experiment, (b)NMIC reanalysis data

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图 3 OF试验所模拟的2008—2013年5—6月逐日不同深度的土壤湿度与同期NMIC再分析资料相关分布

Fig. 3 Correlations of daily soil moisture between OF experiment and NMIC reanalysis data from May to Jun in 2008-2013

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图 4 OH试验所预报的1994—2013年每年5月1日起前4候0.007 m土壤湿度与观测替代资料相关分布(r_0.05=0.45)以及与CH试验的差值

Fig. 4 Correlations of soil moisture at 0.007 m between predictions by OH experiment and proxy data for first 4 pentads in May during 1994-2013 and their differences with CH experiment

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图 5 OH试验所预报的1994—2013年每年5月1日起的0.619 m土壤湿度与观测替代资料相关分布(r_0.05=0.45)以及与CH试验的差值

Fig. 5 Correlations of soil moisture mean at 0.619 m between predictions by OH experiment and proxy data during 1994-2013 start from 1 May and their differences with CH experiment

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图 6 OH和CH试验预报的中国东部地区土壤湿度和观测替代数据相关系数(曲线表示1994—2013年平均的土壤湿度相关系数，阴影部分表示相关系数变化范围)

Fig. 6 The variation of pattern correlations of soil moisture of OH experiment, CH experiment to observation in the eastern China(lines denote correlations of soil moisture during 1994-2013, shaded areas denote range of correlations)

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图 7 1994—2013全部年份以及湿年、干年OH试验的降水与浅层(0.007~0.062 m)、中层(0.366~0.619 m)土壤湿度的滞后相关系数

Fig. 7 Lag correlations between precipitation and soil moisture in shallow layers(0.007-0.062 m) and middle layers(0.366-0.619m) predicted by OH experiment

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