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Analysis of teleconnections between AVHRR-based sea surface temperature and vegetation productivity in the semi-arid Sahel

机译:半干旱萨赫勒地区基于AVHRR的海面温度与植被生产力之间的遥相关分析

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Vegetation productivity across the Sahel is known to be affected by a variety of global sea surface temperature (SST) patterns. Often climate indices are used to relate Sahelian vegetation variability to large-scale ocean-atmosphere phenomena. However, previous research findings reporting on the Sahelian vegetation response to climate indices have been inconsistent and contradictory, which could partly be caused by the variations in spatial extent/definitions of climate indices and size of the region studied. The aim of this study was to analyze the linkage between climate indices, pixel-wise spatio-temporal patterns of global sea surface temperature and the Sahelian vegetation dynamics for 1982-2007. We stratified the Sahel into five subregions to account for the longitudinal variability in rainfall. We found significant correlations between climate indices and the Normalized Difference Vegetation Index (NDVI) in the Sahel, however with different magnitudes in terms of strength for the western, central and eastern Sahel. Also the correlations based on NDVI and global SST anomalies revealed the same East-West gradient, with a stronger association for the western than the eastern Sahel. Warmer than average SSTs throughout the Mediterranean basin seem to be associated with enhanced greenness over the central Sahel whereas colder than average SSTs in the Pacific and warmer than average SSTs in the eastern Atlantic were related to increased greenness in the most western Sahel. Accordingly, we achieved high correlations for SSTs of oceanic basins which are geographically associated to the climate indices yet by far not always these patterns were coherent. The detected SST-NDVI patterns could provide the basis to develop new means for improved forecasts in particular of the western Sahelian vegetation productivity.
机译:众所周知,萨赫勒地区的植被生产力受到各种全球海表温度(SST)模式的影响。通常使用气候指数将萨赫勒地区的植被变异性与大规模海洋-大气现象联系起来。但是,以前关于萨赫勒植被对气候指数的反应的研究发现一直前后不一致,这部分原因可能是由于气候指数的空间范围/定义以及所研究区域的大小的变化。这项研究的目的是分析1982-2007年气候指数,全球海面温度的像素级时空格局与萨赫勒植被动态之间的联系。我们将萨赫勒地区划分为五个子区域,以说明降雨的纵向变化。我们发现萨赫勒地区的气候指数与归一化植被指数(NDVI)之间存在显着的相关性,但萨赫勒西部,中部和东部的强度却存在不同的幅度。同样,基于NDVI和全球SST异常的相关性揭示了相同的东西向梯度,与西部相比,与萨赫勒东部的关联更强。整个地中海盆地的平均海温偏高似乎与萨赫勒地区中部的绿色增强有关,而太平洋地区的平均海温偏低和东部大西洋的平均海温偏高与萨赫勒最西部的绿度增加有关。因此,我们获得了与气候指数在地理上相关的海洋盆地海表温度的高度相关性,但到目前为止,这些模式并不总是一致的。探测到的SST-NDVI模式可以为开发新方法以改善预报,特别是对萨赫勒西部植被生产力提供基础。

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