Adopting drought indices for estimating soil moisture: A North Carolina case study

被引：107

作者：

Sims, AP ^{[1
]}

Niyogi, DDS ^{[1
]}

Raman, S ^{[1
]}

机构：

[1] N Carolina State Univ, State Climate Off N Carolina, Raleigh, NC 27695 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2002年 / 29卷 / 08期

关键词：

D O I：

10.1029/2001GL013343

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

[1] Soil moisture availability has a significant impact on environmental processes of different scales. Errors in initializing soil moisture in numerical weather forecasting models tend to cause errors in short-term weather and medium range predictions. We study the use of two drought indices: Palmer Drought Severity Index (PDSI) values and Standardized Precipitation Index (SPI) for estimating soil moisture. SPI and PDSI values are compared for three climate divisions: western mountains, central piedmont, and the coastal plain in North Carolina, USA. Results suggest SPI to be more representative of short-term precipitation and soil moisture variation and hence a better indicator of soil wetness. A regression equation that uses SPI is proposed to estimate soil moisture.

引用

页数：4

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