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Evaluation of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) for assessment of large-scale meteorological drought

机译:评估热带降雨测量任务多卫星降水分析(TMPA)以评估大规模气象干旱

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This study analyzes the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) precipitation products for assessment of meteorological drought. Two versions of the TMPA research datasets (3B42V6 and 3B42V7) and one real-time dataset (3B42RTV7) are considered. The TMPA datasets are evaluated against a merged precipitation product which is estimated by merging four non-TMPA global satellite-gauge based datasets (non-TMPA merged). Comparisons are made over global land areas between 50 degrees S and 50 degrees N at monthly and 0.25 degrees spatial resolution from 2000 to 2009 (ten years). All the TMPA precipitation datasets show similar spatial patterns; however quantitatively they disagree considerably, especially over tropical regions. 3B42V7 and 3B42RTV7 show the lowest and highest differences with the non-TMPA merged product, respectively. The Standardized Precipitation Index (SPI) at various time scales (1 month to 12 months) is calculated for each dataset for detecting drought events, with drought defined as when monthly SPI < - 1.0 and severe drought when monthly SPI < -1.5. The SPI results complement the spatial patterns found in the precipitation statistics. The non-TMPA merged and the 3B42V7 precipitation datasets simultaneously identify months under drought more frequently than any other pair (i.e., non-TMPA merged 3B42V6 and non-TMPA merged 3B42RTV7) of precipitation datasets. We consider four severe drought events: (a) 2007 southeastern US drought, (b) 2003 western European heat wave and drought, (c) 2005 Amazon drought and (d) 2006 Kenyan drought as case studies. All precipitation products are able to identify the drought events in time and space except a few cases. The spatial correlation of drought area is the highest (>0.8) for the 2007 southeastern US drought and the lowest (<0.62) for the 2006 Kenyan drought. For severe drought (SPI < -1.5), all three TMPA products and the non-TMPA merged product show more than 50% area under severe drought for the four drought events with few exceptions.
机译:本研究分析了热带雨量测量任务(TRMM)多卫星降水分析(TMPA)降水产品,以评估气象干旱。考虑了两个版本的TMPA研究数据集(3B42V6和3B42V7)和一个实时数据集(3B42RTV7)。针对合并的降水量评估TMPA数据集,该合并的降水量是通过合并四个基于非TMPA全局卫星规的数据集(非TMPA合并)而估算的。从2000年到2009年(十年),以月度分辨率和0.25度空间分辨率对全球陆地面积在50°S和50°N之间进行了比较。所有TMPA降水数据集都显示出相似的空间格局。但是,从数量上看,他们意见分歧很大,尤其是在热带地区。 3B42V7和3B42RTV7分别显示与非TMPA合并产品的最低和最高差异。为每个数据集计算不同时间范围(1个月至12个月)的标准降水指数(SPI),以检测干旱事件,干旱定义为每月SPI <-1.0时的干旱,每月SPI <-1.5时的严重干旱。 SPI结果补充了降水统计中的空间格局。非TMPA合并的数据集和3B42V7降水数据集比干旱数据集的任何其他对(即非TMPA合并的3B42V6和非TMPA合并的3B42RTV7)同时更频繁地识别干旱月份。我们考虑了四个严重干旱事件:(a)2007年美国东南干旱,(b)2003年西欧热浪和干旱,(c)2005年亚马逊干旱和(d)2006年肯尼亚干旱。除少数情况外,所有降水产品都能够识别时空干旱事件。干旱地区的空间相关性在2007年美国东南部干旱中最高(> 0.8),而在2006年肯尼亚干旱中最低(<0.62)。对于严重干旱(SPI <-1.5),对于这四个干旱事件,除少数例外,所有三种TMPA产品和非TMPA合并产品在严重干旱下的面积均超过50%。

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