Regional-Scale Rainy Season Onset Detection: A New Approach Based on Multivariate Analysis
Regional-Scale Rainy Season Onset Detection: A New Approach Based on Multivariate Analysis
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DOI:
10.1175/jcli-d-12-00730.1
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发表时间:
2013-11-01
影响因子:
4.9
通讯作者:
Moron, Vincent
中科院分区:
文献类型:
--
作者:
Boyard-Micheau, Joseph;Camberlin, Pierre;Moron, Vincent
In agroclimatology, the rainy season onset and cessation dates are often defined from a combination of several empirical rainfall thresholds. For example, the onset may be the first wet day of N consecutive days receiving at least P millimeters without a dry spell lasting n days and receiving less than p millimeters in the following C days. These thresholds are parameterized empirically in order to fit the requirements of a given crop and to account for local-scale climatic conditions. Such local-scale agroclimatic definition is rigid because each threshold may not be necessarily transposable to other crops and other climate environments. A new approach is developed to define onset/cessation dates and monitor their interannual variability at the regional scale. This new approach is less sensitive to parameterization and local-scale contingencies but still has some significance at the local scale. The approach considers multiple combinations of rainfall thresholds in a principal component analysis so that a robust signal across space and parameters is extracted. The regional-scale onset/cessation date is unequally influenced by input rainfall parameters used for the definition of the local rainy season onset. It appears that P is a crucial parameter to define onset, C plays a significant role at most stations, and N seems to be of marginal influence.