|
|||||
|
|
| 基于MODIS数据的中国地面水汽压模拟与分析 | |
| 引用本文： | 张丹,刘昌明,付永锋,邱新法,刘小莽.基于MODIS数据的中国地面水汽压模拟与分析[J].资源科学,2012,34(1):74-80. |
| 作者姓名： | 张丹 刘昌明 付永锋 邱新法 刘小莽 |
| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京100101／中国科学院研究生院,北京100049 2. 中国科学院地理科学与资源研究所,北京100101／北京师范大学水科学研究院,北京100875 3. 黄河勘测规划设计有限公司,郑州,450003 4. 南京信息工程大学,南京,210044 5. 中国科学院地理科学与资源研究所,北京,100101 |
| 基金项目： | 国家自然科学基金(编号:40971023);国家重点基础研究发展规划项目(编号:2010CB428406)。 |
| 摘 要： | 采用2006年MODIS逐日红外与近红外大气可降水量（MOD05）数据,结合常规气象观测资料,建立了中国逐月地面水汽压模拟统计模型,得到了2006年1km×1km中国逐月地面水汽压数据集。通过对全国33个台站和河南省100个加密站的验证,地面水汽压的模拟值与实测值的相关性均达0.96以上,并且均有90%以上的样本相对误差平均值小于20%。研究结果表明：2006年中国地面水汽压月平均值在3.47～17.13hPa之间,全国年平均值为8.87hPa,地面水汽压呈现出显著的地带性分布;分析了地面水汽压随海拔、坡度和坡向等地形因子的变化规律,较好地反映出地面水汽压的宏观分布趋势和局地分布特征;基于MODIS数据的地面水汽压模型为复杂地形条件下能量收支平衡和大气水循环的研究提供了一种切实可行的方法。 |
| 关 键 词： | MODIS 大气可降水量 地面水汽压 地形影响 |
Estimation and Analysis of Near Surface Vapor Pressure in China Based on MODIS Data |
|
| ZHANG Dan,LIU Changming,FU Yongfeng,QIU Xinfa and LIU Xiaomang.Estimation and Analysis of Near Surface Vapor Pressure in China Based on MODIS Data[J].Resources Science,2012,34(1):74-80. | |
| Authors: | ZHANG Dan LIU Changming FU Yongfeng QIU Xinfa and LIU Xiaomang |
| Institution: | Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;College of Water Sciences, Beijing Normal University, Beijing 100875, China;Yellow River Engineering Consulting Co., Ltd, Zhengzhou 450003, China;Nanjing University of Information Science and Technology, Nanjing 210044, China;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
| Abstract: | Combined daily infrared data with near-infrared data (MOD05) from the Moderate Resolution Imaging Spectroradiometer (MODIS) in year 2006, monthly precipitable water vapor was calculated using a weighted arithmetic. The monthly average precipitable water vapor ranged between 0.10 cm and 3.50 cm. With routinely observed meteorological data at 619 stations across Mainland China, an empirical model was build to estimate monthly near surface vapor pressure with the spatial resolution of 1 km × 1 km. Due to an extensive territory and different types of climates of China, an optimized method was employed to estimate the parameters of the empirical model. The main idea of the optimized method was to identify similar geographic coordinates and altitudes. The optimized parameters exhibit significant heterogeneity. Results are given as follows. 1) The empirical model appears to be capable of generating monthly near surface vapor pressure. Comparison between the simulations and observations of near surface vapor pressure at 33 stations across China indicates a correlation coefficient up to 0.97 and more than 90% samples with relative errors smaller than 20%. In particular, validation performed at 100 weather stations in Henan Province shows a correlation coefficient of 0.96 and the mean relative errors smaller than 20%, in which the mean relative errors in eight months were within 10%; 2) Across the entire country, the monthly average vapor pressure in 2006 ranged from 3.47 hPa to 17.13 hPa, with an annual mean of 8.87 hPa. The spatial variation varied between 3.20 and 8.66, with an annual mean of 5.36. The value and spatial variation of the monthly vapor pressure were higher in summer (Jun, Jul, and Aug) but lower in winter (Dec, Jan, and Feb). The maximum value occurred in Aug whereas the minimum value in Jan. A particular investigation into Yunnan Province, Southwest China, was performed. The spatial distribution of vapor pressure corresponded to DEM and river networks; 3) Distribution of the monthly vapor pressure varied markedly with the topography. Changes in vapor pressure with the altitude, slope, and aspect were analyzed to look at distributions of vapor pressure at local and regional scales. The monthly vapor pressure varied regularly with the topography in low altitudes. There were generally two peaks and two troughs in these vapor pressure values in different months, the same as in different altitudes. However, there existed a more complex characterization of the monthly vapor pressure at high altitudes such as over the Tibet Plateau. The proposed model for generating near surface vapor pressure based on MODIS data seems to be a promising tool in study of the energy balance and atmospheric water cycle under rugged terrains. |
| Keywords: | MODIS Precipitable water vapor Near surface vapor pressure Terrain influence |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《资源科学》浏览原始摘要信息 | |
| 点击此处可从《资源科学》下载免费的PDF全文 | |