Analysis of rainfall climate and evapo-transpiration in arid and semi-arid regions of Ethiopia using data over the last half a century [An article from: Journal of Arid Environments]
Book Details
Author(s)K. Tilahun
PublisherElsevier
ISBN / ASINB000RR6ESS
ISBN-13978B000RR6ES4
MarketplaceFrance 🇫🇷
Description
This digital document is a journal article from Journal of Arid Environments, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Rainfall and evapo-transpiration are the two major climatic factors affecting agricultural production. While rainfall can be directly measured, evapo-transpiration is estimated from weather data. In this study reference evapo-transpiration ET"o was estimated using Penman-Monteith equation, under full data and limited data availability conditions, and Hargraves method. Monthly rainfall and evapotarnspiration were plotted and compared in order to determine moisture deficit periods for several stations in arid and semi-arid parts of the country. Rainfall and reference evapo-transpiration at different probability levels were compared. Temporal variation of annual rainfall was analysed using variability indices: cumulative departure index, standard climate departure index and rainfall anomaly index. It was found that when there is only limited data, it is better to estimate ET"o using Penman-Monteith method than using simplified methods such as Hargraves. ET"o showed relatively low variation with time while year-to-year rainfall variability was very high. From these plots information on rainfall pattern over the past 50 years, such as drought years was obtained.
Description:
Rainfall and evapo-transpiration are the two major climatic factors affecting agricultural production. While rainfall can be directly measured, evapo-transpiration is estimated from weather data. In this study reference evapo-transpiration ET"o was estimated using Penman-Monteith equation, under full data and limited data availability conditions, and Hargraves method. Monthly rainfall and evapotarnspiration were plotted and compared in order to determine moisture deficit periods for several stations in arid and semi-arid parts of the country. Rainfall and reference evapo-transpiration at different probability levels were compared. Temporal variation of annual rainfall was analysed using variability indices: cumulative departure index, standard climate departure index and rainfall anomaly index. It was found that when there is only limited data, it is better to estimate ET"o using Penman-Monteith method than using simplified methods such as Hargraves. ET"o showed relatively low variation with time while year-to-year rainfall variability was very high. From these plots information on rainfall pattern over the past 50 years, such as drought years was obtained.
