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IPCC AR4多模式对中国地区未来40 a雪水当量的预估
引用本文:王芝兰,王澄海. IPCC AR4多模式对中国地区未来40 a雪水当量的预估[J]. 冰川冻土, 2012, 34(6): 1273-1283. DOI: 10.7522/j.issn.1000-0240.2012.0156
作者姓名:王芝兰  王澄海
作者单位:1. 中国气象局 兰州干旱气象研究所/甘肃省干旱气候变化与减灾重点实验室/中国气象局 干旱气候变化与减灾重点开放实验室, 甘肃 兰州 730020;2. 兰州大学 大气科学学院/甘肃省干旱气候变化与减灾重点实验室, 甘肃 兰州 730000
基金项目:国家自然科学基金项目(41071028;41275061;41201370);国家公益性行业科研专项“多时间尺度干旱监测与预警、评估技术研究”(201006023)资助
摘    要:通过评估参加CMIP3计划的22 个GCM在20 世纪气候情景(20C3M)下中国地区雪水当量模拟能力的检验, 挑选出模拟能力较好的模式, 通过多模式集合方法, 对SEARS的模拟结果进行集合, 预估未来40 a雪水当量在中国地区的时空变化特征.结果表明: 在A1B情景下和B1情景下, 中国地区未来40 a雪水当量年际变化均呈减少趋势; 在A1B和B1情景下, 青藏高原地区、 华北平原地区、 长江中游地区及东北北部地区的雪水当量均呈减少趋势, 其中在昆仑山西段帕米尔高原地区减少最为显著, 其次为喜马拉雅山区和巴颜喀拉山东段地区.在中国北部的内蒙古高原地区、 云贵高原等部分地区的雪水当量则有所增加.总体上, A1B情景下比B1情景下雪水当量的减少更为明显. 2021-2050年雪水当量在青藏高原减少显著; 对于季节变化来说, 在秋冬季积雪的累积期, 雪水当量可能增加, 尤其在10-12月, 而在积雪消融的春夏季(2-6月)有所减少.

关 键 词:气候变化  CMIP3计划  雪水当量  模式评估  模拟预估  
收稿时间:2012-05-06
修稿时间:2012-09-15

Predicting the Snow Water Equivalent over China in the Next 40 Years Based on Climate Models from IPCC AR4
WANG Zhi-lan,WANG Cheng-hai. Predicting the Snow Water Equivalent over China in the Next 40 Years Based on Climate Models from IPCC AR4[J]. Journal of Glaciology and Geocryology, 2012, 34(6): 1273-1283. DOI: 10.7522/j.issn.1000-0240.2012.0156
Authors:WANG Zhi-lan  WANG Cheng-hai
Affiliation:1. Institute of Arid Meteorology, China Meteorological Adminstration, Key Laboratory of Arid Climatic Change and Reducing Disaster ofGansu Province, Key Open Laboratory of Climatic Change and Disaster Reduction of China Meteorological Adminstration, Lanzhou Gansu 730020, China;2. School of Atmosphere Sciences, Lanzhou University; Key Laboratory ofArid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou Gansu 730000, China
Abstract:In the Coupled Model Intercomparison Project (CMIP3) there are 22 global climate models (GCM), of which the simulating capability on snow water equivalent (SWE) over China is tested in this paper. Those models having better simulating capability are chosen to predict the snow water equivalent in the coming 40 years over China. The results show that SWE will decrease in the coming 40 years over China for two scenarios (A1B and B1). It is found that there are SWE decreasing zones mainly in Tibetan Plateau, North China Plain,the middle reaches of Yangtze River and the north of Northeast China. Among them, the most significant decreasing zones are the Pamirs and the west of Kunlun Mountains, followed by the Himalayas and the east of Bayan Har Mountains. There is a slight increase of SWE in Inner Mongolia, the south of Yunnan-Guizhou Plateau and some other zones. Additionally, the decreasing rate in Scenarios A1B is greater than that in Scenarios B1. SWE will significantly decrease in 2021-2050 over the Tibetan Plateau. In autumn and winter, with snow cover increasing, SWE has a slight increase, especially from October to December, but in spring and summer, when snow cover disappears, SWE has a decrease.
Keywords:climate change  Coupled Model Intercomparison Project(CMIP3)  snow water equivalent  model assessment  prediction
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