作者: Thushara Gunda , George M. Hornberger , Jonathan M. Gilligan
DOI: 10.1002/JOC.4365
关键词: Scale (map) 、 Monsoon 、 Agriculture 、 Precipitation 、 Geography 、 Sri lanka 、 Index (economics) 、 Climatology 、 Principal component analysis 、 Precipitation index
摘要: A spatiotemporal analysis of two well-known agricultural drought indices, the Palmer Drought Severity Index (PDSI) and Standardized Precipitation at a 9-month scale (SPI-9), is presented for Sri Lanka. The was conducted based on monthly precipitation temperature data from January 1881 to December 2010 using 13 stations distributed across three climatic zones country. Principal component shows that first principal components PDSI SPI-9 are spatially comparable could physically represent main monsoons. wavelet these components' scores both indices indicates stronger association between Northeastern monsoon El-Nino in recent decades. Correlation with metrics suggests different might be appropriate each correlated best intermediate zone districts; dry but neither index well wet districts.