摘要
利用FY-2静止气象卫星逐小时降水估计产品和地面入射太阳辐射反演产品,利用NCEP/NCAR再分析数据集中的地面气温、湿度、气压和风速数据,构造中国区域高时空分辨率的大气强迫场,驱动CLM3.0陆面模式模拟得到了2005年7月至2010年6月中国区域10km分辨率的日平均土壤湿度数据集。通过与中国农气观测站土壤湿度数据进行比较分析,结果表明:在0～10cm和10～20cm深度上,模式模拟的土壤湿度结果从空间分布和时间变率上均与观测数据有很好的一致性,在70～100cm深度上,空间分布有较好的一致性,但模式模拟结果的时间变率较小。按照气候特点将中国分为8个区域,分析了区域平均土壤湿度的时间变化规律,中国西北和西南地区有很好的一致性,东北和华北地区次之。
The weather products of FY-2 geostationary meteorological satellite are used to gain the hourlyprecipitation estimation data and surface incident solar radiation data. the htgh spatial ana temporal resolution atmospheric forcing fields of surface temperature, humidity, pressure and wind speed from NCEP/NCAR reanalysis data are established to drive the CLM3.0 model and simulate the 10-km daily soil moisture dataset from July 2005 to June 2010 of China. Through the comparison to agro-meteorological soil moisture observation data, it is found that at the depths o{ 0 to 10 cm and 0 to 20 cm, the CLM3.0 model simulation results are consistent with observations in the spatial distribution and time change rate, and at 70 to 100 cm depths, the spatia~ distributions are in good agreement, hut the time change rate is smaller. According to the climate characteristics, China can be divided into eight regions. The analysis of the temporal variations of the regional average soil moisture indicates that the northwest and southwest regions are in good agreement, followed by the northeast and north regions.
出处
《气象科技》
2013年第3期529-536,共8页
Meteorological Science and Technology
基金
科技部国家国际科技合作项目"多源资料降水和土壤水分融合研究(2011DFG23150)"资助
