
Regional-Scale Rainy Season Onset Detection: A New Approach Based on Multivariate Analysis
Author(s) -
Joseph Boyard-Micheau,
Pierre Camberlin,
Nathalie Philippon,
Vincent Moron
Publication year - 2013
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-12-00730.1
Subject(s) - wet season , scale (ratio) , climatology , multivariate statistics , principal component analysis , parametrization (atmospheric modeling) , multivariate analysis , environmental science , statistics , mathematics , geography , geology , cartography , physics , quantum mechanics , radiative transfer
13 pagesInternational audienceIn 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