Volume 12, Issue 46 (1-2009)                   jwss 2009, 12(46): 581-592 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Maryanji Z, Sabziparvar A, Tafazoli F, Zare Abianeh H, Banzhad H, GHafouri M et al . Evaluation of Sensitivity of Some Existing Evapotranspiration Models to Climate Change Signals in Cold Semi-arid Climate of Hamedan. jwss 2009; 12 (46) :581-592
URL: http://jstnar.iut.ac.ir/article-1-1145-en.html
, swsabzi@basu.ac.ir
Abstract:   (31239 Views)
Under different climatic conditions of Iran, the evaluation of evapotranspiration (ETo) models sensitivity to meteorological parameters, prior to introducing the superior performance model, seems quite necessary. Using a 35-year (1971-2005) climatological observations in Hamedan, this study compares the sensitivity of different commonly used evapotranspiration models to different meteorological parameters within the IPCC recommended variability range of 10 to 20% during the growing season (April-October). The radiation and temperature-based ETo models include: Penman-Monteith -FAO56 [PMF56], Jensen-Haise [JH1,2], Humid Turc [TH], Arid (semi) arid Turc [TA], Makkink [MK], Hansen [HN], and Hargreaves-Samani [HS]. Results indicate that all the above-mentioned ETo models show the highest sensitivity to radiation and temperature parameters. This implies that special care is required when we apply model-generated radiation and albedo parameters in such ETo models. It is predicted that by 2050, as a result of global warming, the cold semi-arid climates of Iran will cause an average evapotranspiration rise of about 8.5% in crop reference during the growing season.
Full-Text [PDF 162 kb]   (4490 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2010/06/16 | Published: 2009/01/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb