基于陆面模式NCAR/CLM3.5的东北区域生长季地表干湿状况时空分布特征模拟研究
作者简介:涂 钢(1968-),女,湖北鄂州人,副研究员,主要研究方向:陆面过程与气候变化研究。E-mail:shenxintu@yahoo.com.cn
收稿日期: 2012-01-04
要求修回日期: 2012-02-20
网络出版日期: 2012-06-20
基金资助
国家自然科学基金项目(41175084、40975055、41175083)和公益性行业(气象)科研专项(GYHY: 201106021、 201106016、 201106015)资助
Spatial-Temporal Characteristics of Surface Dry/Wet Status in Northeast China by NCAR/CLM3.5
Received date: 2012-01-04
Request revised date: 2012-02-20
Online published: 2012-06-20
Copyright
利用东北地区地面102站56 a(1951~2006年)逐日气象观测资料,驱动NCAR陆面模式CLM 3.5,模拟东北地区生长季地表水分盈余量(Surface Water Surplus,SWS),探讨和分析了东北地区生长季1951~2006年地表干湿状况的时空变化规律。结果表明:1971~2000年平均东北地区生长季SWS反映的地表干湿状况具有较大的地域差异,全区SWS为100~800 mm;中、西部为SWS低值区,属半干旱、半湿润区;东、南、北部为相对高值区,属湿润、半湿润区。生长季地表干湿状况存在显著的年际、年代际变化;56 a来,东北地区生长季SWS呈线性减少趋势,即地表变干,SWS空间分布的年代际变化,同样表现为变干趋势,尤其2000~2006年是地表变干最为显著的时期,表明在全球变暖背景下东北地区地表干旱化趋势增强。分析表明地表干湿状况是下垫面与气候变化共同作用的结果,研究地表干湿状况需要综合考虑水分收支项。
涂钢 , 刘波 , 王淑瑜 . 基于陆面模式NCAR/CLM3.5的东北区域生长季地表干湿状况时空分布特征模拟研究[J]. 地理科学, 2012 , 32(6) : 746 -751 . DOI: 10.13249/j.cnki.sgs.2012.06.746
Long term (1951-2006) Surface Water Surplus (SWS) for growing season (May to September) over Northeast China is produced by NCAR CLM3.5, which is driven by daily observations from 102 meteorological stations. Temporal-spatial variability of surface dry/wet status is analyzed based on the CLM3.5 simulation. The results show that, 1) in growing season, 30 year (1971-2000) averaged SWS has relatively large spatial difference, with regional SWS ranging from 100 to 800 mm. Higher SWS value locates over eastern, southern and northern parts of analysis domain, indicating a wetter condition over the area. 2) Significant inter-annual and decadalvariabilities are detected in CLM3.5 results; 3) Over Northeast China the SWS has decline trend showing that the surface has been drying during past 50 years. The drying signal is also found in decadal variance of spatial distribution of SWS, and with 2000s showing most dramatic drying, it implies that in the condition of global warming the aridification over Northeast China would enhance; 4) The surface moisture condition is the combined effects of land surface process and climate change; its prediction requires the thorough understanding of surface water budget.
Fig.1 The spatial distribution of SWS in growing season in 1971-2000 over Northeast China图1 东北地区1971~2000年生长季平均SWS的空间分布 |
Table 1 Correlation between Surface Water Surplus (SWS) for growing season(May to Sep.) and soil water storage (0-50cm)表1 东北16站生长季(5~9月)SWS和土壤储水量(0~50 cm)的相关系数 |
站名 | 白城 | 长岭 | 敦化 | 梅河口 | 桦甸 | 延吉 | 朝阳 | 叶柏寿 |
---|---|---|---|---|---|---|---|---|
5~9月 | 0.5018* | 0.4577* | 0.5277* | 0.5004* | 0.4136 | 0.6768* | 0.3156 | 0.5536* |
站名 | 新民 | 锦州 | 呼玛 | 富裕 | 海伦 | 泰来 | 宝清 | 虎林 |
5~9月 | 0.6609* | 0.6238* | 0.3042 | 0.1914 | 0.5264* | 0.0267 | 0.3645 | 0.7942* |
Fig.2 The decadal variance of SWS in growing season in 1951-2006 over Northeast China图2 东北地区1951~2006年生长季SWS空间分布的年代际变化 |
Fig.3 Temporal variance of SWS in growing season in 1951-2006 over Northeast China图3 1951~2006年东北地区生长季(5~9月)SWS年际变化 |
The authors have declared that no competing interests exist.
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