Monitoring global land surface drought based on a hybrid evapotranspiration model     

Yunjun Yao  Shunlin Liang  Qiming Qin  Kaicun Wang  Shaohua Zhao 《International Journal of Applied Earth Observation and Geoinformation》2011

The latent heat of evapotranspiration (ET) plays an important role in the assessment of drought severity as one sensitive indicator of land drought status. A simple and accurate method of estimating global ET for the monitoring of global land surface droughts from remote sensing data is essential. The objective of this research is to develop a hybrid ET model by introducing empirical coefficients based on a simple linear two-source land ET model, and to then use this model to calculate the Evaporative Drought Index (EDI) based on the actual estimated ET and the potential ET in order to characterize global surface drought conditions. This is done using the Global Energy and Water Cycle Experiment (GEWEX) Surface Radiation Budget (SRB) products, AVHRR-NDVI products from the Global Inventory Modeling and Mapping Studies (GIMMS) group, and National Centers for Environmental Prediction Reanalysis-2 (NCEP-2) datasets. We randomly divided 22 flux towers into two groups and performed a series of cross-validations using ground measurements collected from the corresponding flux towers. The validation results from the second group of flux towers using the data from the first group for calibration show that the daily bias varies from −6.72 W/m² to 12.95 W/m² and the average monthly bias is −1.73 W/m². Similarly, the validation results of the first group of flux towers using data from second group for calibration show that the daily bias varies from −12.91 W/m² to 10.26 W/m² and the average monthly bias is −3.59 W/m². To evaluate the reliability of the hybrid ET model on a global scale, we compared the estimated ET from the GEWEX, AVHRR-GIMMS-NDVI, and NECP-2 datasets with the latent heat flux from the Global Soil Wetness Project-2 (GSWP-2) datasets. We found both of them to be in good agreement, which further supports the validity of our model's global ET estimation. Significantly, the patterns of monthly EDI anomalies have a good spatial and temporal correlation with the Palmer Drought Severity Index (PDSI) anomalies from January 1984 to December 2002, which indicates that the method can be used to accurately monitor long-term global land surface drought.  相似文献   

A Comparative Analysis of Primary and Extreme Characteristics of Dry or Wet Status between Asia and North America   总被引：1，自引：0，他引：1  

HUA Lijuan  MA Zhuguo  ZHONG Linhao 《大气科学进展》2011,28(2):352-362

In this study, the Palmer Drought Severity Index (PDSI) was used to analyze the average and extreme dry/wet states of Asia and North America from 1953 to 2003. The results indicate that the two continents underwent drying trends during this period. Compared with North America, Asia showed more severe drought trends. However, more significant and regular seasonal variation for drought was found in North America. The driest regions in Asia were located in the northern region of China, Mongolia, and eastern mid-Siberian plateau. Most regions in central North America were relatively wetter than other regions. The northern and southwestern regions of North America, as well as the Atlantic and Pacific coastal areas, experienced the most drought during this period. A sharp increase of the drought area and the number of extreme drought events took place from 1997 to 2003 in both Asia and North America. Severe drought events were more likely to occur during the summer on both continents. Asia had the most extreme drought events during July, but North America reached its highest drought frequency from June to September. In Asia, a persistent increasing trend of extreme drought emerged throughout the studied period. However, a more complex evolution of drought emerged in North America: a decreasing trend appeared before the mid-1960s and an increasing trend appeared after the late 1970s. A relatively steady dry/wet status was observed between the mid-1960s and the late 1970s. The role of exceptional, extreme drought events with respect to the La Nin?a event was considered during 1997–2003.  相似文献   

“Indicators of vulnerability and adaptive capacity”: Towards a clarification of the science–policy interface     

Jochen Hinkel   《Global Environmental Change》2011,21(1):198-208

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春季内蒙古草原典型晴天与沙尘条件下湍流速度统计特征对比分析   总被引：3，自引：0，他引：3       下载免费PDF全文

岳平  张强  牛生杰  杨金虎  王胜  张建忠  刘秀兰 《高原气象》2011,30(5):1180-1188

利用2008年春季内蒙古草原地区近地层通量观测资料,分析了典型晴天和沙尘天气条件下湍流统计特征。结果表明,当大气层结不稳定时,晴天和沙尘天气期间无量纲水平风速分量标准差和垂直速度标准差均遵循M-O相似性规律,无量纲水平风速分量标准差和垂直速度标准差与稳定度之间满足1/3幂次规律;中性条件下,晴天和沙尘天气期间无量纲速度...  相似文献   

不同卫星遥感干旱指数在黑龙江的对比应用   总被引：3，自引：0，他引：3       下载免费PDF全文

于敏  王春丽 《应用气象学报》2011,22(2):221-231

采用MODIS的1 km×1 km分辨率数据,以我国黑龙江为研究区,对基于植被指数的植被状态指数 (I_VC)、基于地表温度的温度状态指数 (I_TC) 和基于植被指数-地表温度特征空间的植被温度状态指数 (I_VTC) 与10 cm,20 cm土壤相对湿度、降水量的关系、3种指数监测结果及其相互关系进行了对比分析。结果表明:I_VTC相对于I_TC,I_VC更适于反映土壤湿度的变化,对浅层土壤湿度更加敏感;I_VTC相对于I_TC,I_VC对降水更敏感,与监测时段的降水和前期总体降水都密切相关;在生长季早期,I_VTC和I_TC用于干旱监测的适用性明显优于I_VC;不同区域间,I_VTC的可比性较好,I_VC和I_TC则较差;I_VTC所反映的地表温度信息对干旱的直接指示作用最强,所反映的植被信息对干旱的直接指示作用较弱。  相似文献   

新20号井水位异常特征分析     

朱成英  高小其 《内陆地震》2011,25(2):158-165

运用mapsis软件前兆异常分析中的差分、从属函数和变差对新20号井水位进行异常识别,结果认为:(1)差分、从属函数和变差异常形态均为高值异常;(2)差分和变差对近场M<,s>≥5地震漏报率较高,但有异常出现时,后续往往有地震对应,而从属函数对近场M<,s>≥5映震率为66.7%,对远场M<,s>≥7映震率为71.4%...  相似文献   

多层次格网模型的近邻指数聚类生态区划算法与实验——以新疆北部地区区划为例     

袁烨城  周成虎  覃彪  欧阳 《地球信息科学学报》2011,13(1):1-11

在综合考虑气候、植被、地貌等凶素的基础上,提出一种基于多层次格网模型的最近邻指数-模糊聚类生态区域划分算法(Nearest Neighbor Index Fuzzy clustering,NNI-FIC).该算法采用"自下而上"的方式,首先,利用离散格网单元之间的严格相似性形成区划的核心分区;然后,通过最近邻指数统计分...  相似文献   

Landscape Controls on Structural Variation in Eucalypt Vegetation Communities: Woronora Plateau,Australia     

Ross B. Jenkins  Nicholas C. Coops 《The Australian geographer》2011,42(1):1-17

Quantification of landscape-based vegetation structural variation and pattern is a significant goal for a variety of ecological, monitoring and biodiversity studies. Vegetation structural metrics, derived from airborne laser scanning (ALS or aerial light detection and ranging—LiDAR) and QuickBird satellite imagery, were used to establish the degree of plot-based vegetation variation at a hillslope scale. Topographic position is an indicator of energy and water availability, and was quantified using DEM-based insolation and topographic wetness, respectively, stratifying areas into hot-warm-cold and wet-moist-dry topographic classes. A range of vegetation metrics—maximum and modal canopy height, crown cover, foliage cover, NDVI and semivariance—were compared among randomly selected plots from each topographic class. NDVI increases with increasing landscape wetness, whereas ALS-derived foliage cover decreases with increasing insolation. Foliage cover is well correlated with crown cover (R ² =0.65), and since foliage cover is readily calculable for whole-of-landscape application, it will provide valuable and complementary information to NDVI. Between-plot heterogeneity increases with increasing wetness and decreasing insolation, indicating that more sampling is required in these locations to capture the full range of landscape-based variability. Pattern analysis in landscape ecology is one of the fundamental requirements of landscape ecology, and the methods described here offer statistically significant, quantifiable and repeatable means to realise that goal at a fine spatial grain.  相似文献   

Desertification in the Sahel: Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images   总被引：3，自引：0，他引：3  

L. Hein  N. de RidderP. Hiernaux  R. LeemansA. de Wit  M. Schaepman 《Journal of Arid Environments》2011,75(11):1164-1172

To date, the interpretation of remote sensing images has not revealed wide-spread degradation of the vegetation in the Sahel. However, the interpretation of spectral information depends on a range of assumptions regarding the dynamics of the Sahelian vegetation as a function of rainfall variability and human management. Recent papers have presented diverging views on the vegetation dynamics of the Sahel and how these can be analysed with remote sensing images. We present a further analysis of the vegetation dynamics of semi-arid rangelands, in particular the Sahel, and the subsequent implications for the interpretation of remote sensing images. Specifically, the ecological processes driving the response of the Sahelian vegetation to rainfall variation are re-examined, and a regression analysis of NPP versus rainfall data is carried out. It is shown that the relation between the interannual variation in NPP and rainfall in the Sahel is non-linear and that this relation differs between sites with different average annual rainfall. It has been common practise in remote sensing studies for the Sahel to aggregate data from various Sahelian sites in order to obtain an average relation between rainfall, NPP and Rain Use Efficiency, and to assume these relations to be linear. This paper shows that this approach may lead to a bias in the interpretation of remote sensing images and that further work is required to clarify if wide-spread ecosystem degradation has occurred in the Sahel.  相似文献   

Changing climate affects vegetation growth in the arid region of the northwestern China   总被引：13，自引：0，他引：13  

X. Zhao  K. TanS. Zhao  J. Fang 《Journal of Arid Environments》2011,75(10):946-952

The northwestern China is a typical dry-land region of Inner Asia, where significant climate change has been observed over the past several decades. How the regional vegetation, particularly the grassland-oasis-desert complex, responds to such climatic change is poorly understood. To address this question, we investigated spatio-temporal changes in vegetation growth and their responses to a changing climate by biome and bioregion, using satellite-sensed Normalized Difference Vegetation Index (NDVI) data from 1982 to 2003, along with corresponding climate data. Over the past 22 years, about 30% of the total vegetated area showed an annual increase of 0.7% in growing season NDVI. This trend occurred in all biomes and all bioregions except Sawuer, a subregion of the study area with no significant climate change. Further analyses indicated that NDVI change was highly correlated with the current precipitation and evapotranspiration in growing season but was not associated with temperature. We also found that NDVI was positively correlated with the preceding winter precipitation. These findings suggest that precipitation may be the key cause of vegetation growth in this area, even for mountain forests and grasslands, whose growth are often regarded to be limited by low temperate in winter and early spring.  相似文献