Volume 23, Issue 69 (6-2023)
jgs 2023, 23(69): 425-438 |
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Ataei H, Ravarian M, Tashakori Hashemi S A. (2023). Application of SIMETAW simulation model for prediction of climate parameters in different regions of Iran. jgs. 23(69), : 22 doi:10.61186/jgs.23.69.425
URL: http://jgs.khu.ac.ir/article-1-3224-en.html
URL: http://jgs.khu.ac.ir/article-1-3224-en.html
1- Payamenoor University, Payamenoor University-KOhandej BL- Isfahan , hoo_ataei@yahoo.com
2- 32-yassaman2-Sajad Bl-MAshhad-khorasan Razavi
3- No 6-Khodaverdi 3-End of Kashani 12-MAshhad-Khorasan Razavi
2- 32-yassaman2-Sajad Bl-MAshhad-khorasan Razavi
3- No 6-Khodaverdi 3-End of Kashani 12-MAshhad-Khorasan Razavi
Abstract: (3656 Views)
So far, several models have been proposed for estimating different climate parameters, but due to the lack of valid and long-term data in some meteorological stations, some models have been difficult to use. The SIMETAV V.1.0 model has been developed in cooperation with the University of California Davis and the Water Resources Authority of California in 2005. The SIMETAW model is a new and innovative tool for the estimation of applied water evapotranspiration (ETAW). SIMETAW simulation model is presented to estimate potential evapotranspiration and also estimate the net amount of water required for irrigation (ETaw). In addition, using this model, you can simulate daily meteorological data from meteorological data. The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. In this research, Simetaw simulation model predicts different climate parameters such as solar radiation, minimum and maximum temperature, wind speed, dew point, precipitation and evapotranspiration potential in four different semi-arid climate zones (Mashhad). Dry (Bandar Abbas), moderate and humid (Ramsar) and Mediterranean (Sanandaj) during the years (1967-2017). The results of these studies showed that SIMETAW model has high ability to simulate climate variables and has the highest model accuracy in precipitation simulation (R2 = 0.998) and maximum temperature (R2 = 0.997) for semi-arid climate (Mashhad) , Dew point (R2 = 0.998) for temperate and humid climate (Ramsar), for radiation (R2 = 0.998) and wind speed (R2 = 0.9) for Mediterranean climate (Sanandaj) and minimum temperature (R2 = 0.998) for warm and dry climates (Bandar Abbas).
According to the sensitivity analysis of SIMETAW model, the input parameters of the model are respectively their effect on potential evapotranspiration from maximum temperature, precipitation, dew point temperature and minimum temperature, solar radiation and wind speed.
Article number: 22
Type of Study: Research |
Subject:
climatology
References
1. ابراهیم پور، ميثم؛ قهرمان، نوذر؛ لیاقت، عبدالمجيد. 1391. استفاده از مدل SIMETAW جهت شبیه‌سازی متغیرهای اقلیمی و بررسی اثر تغییر اقلیم بر تبخیر تعرق پتانسیل (مطالعه موردی: مشهد)، تحقیقات آب‌وخاک، (4)43: 360-353.
2. براتی، خديجه؛ طاهری سودجانی، هاجر؛ محمد، شایان نژاد. 1394. معادلات اساسی به¬کار گرفته‌شده در مدل swap و راهنمای کاربردی مدل. نشریه آب و توسعه، (1)2: 67-80.
3. برادران، فاطمه؛ سلطانی محمدي، امير؛ ایزدپناه، زهرا. 1395. کاربرد مدل SIMETAW در شبیه‌سازی متغیرهای اقلیمی و محاسبه تبخیر تعرق پتانسیل، همایش ملی پدافند غیرعامل در بخش کشاورزی.
4. برادران، فاطمه؛ سلطانی محمدي، امير؛ ایزدپناه، زهرا. 1396. ارزیابی مدل SIMETAW در شبیه‌سازی پارامترهای هواشناسی و تبخیر و تعرق پتانسیل در چهار اقلیم مختلف، علوم و مهندسی آبیاری، (2)40: 249-237.
5. حسینی، ا؛ ابراهیمی تبار، ابراهيم. 1391. برآورد تبخیر و تعرق پتانسیل شهرستان سقز با استفاده از روش-های تجربی. نخستین همایش علمی تخصصی -توسعه روستایی و کشاورزی با تأکید بر تولید ملی، پیرانشهر، دانشگاه پیام نور پیرانشهر.
6. روحانی، حامد؛ قندی، اعظم؛ سیدیان، سيد مرتضي؛ کاشانی، مجتبي. 1396. بررسي عدم قطعيت شبیه‌سازی بارش آينده (مطالعه موردي: ايستگاه همديدي بجنورد و مشهد)، پژوهش¬هاي حفاظت آب‌وخاک، (24)1: 204-189.
7. زاهدی، مجید؛ بیاتی خطیبی، مریم. هیدرولوژی، انتشارات سمت، 22: 382.
8. شاه نقي، نغمه؛ پارسي نژاد، مسعود؛ عراقي نژاد، شهاب؛ ميرزايي، فرهاد. 1390. پیش‌بینی تأثیر اقليم بر تبخير و تعرق در دشت مشهد. چهارمين کنفرانس مديريت منابع آب ايران. دانشگاه صنعتي اميرکبير.
9. علیزاده، امین. طراحی سیستم‌های آبیاری، 1: 452.
10. Ebrahimpour, M. Ghahreman, N. and M. Orang. 2013. Assessment of climate change impacts on reference evapotranspiration and simulation of daily weather data using SIMETAW. Journal of Irrigation and Drainage Engineering, 140(2):1-10. [DOI:10.1061/(ASCE)IR.1943-4774.0000669]
11. Ghahreman, N. Ebrahimpour, M. and M. Orang. 2012. Application of SIMETAW model for generating daily weather data and reference evapotranspiration (ETo) in two different climates in Iran. Proceeding, Irrigation Australia,seventh Asian Regional Conference, ICID, Adelaide, pp. 24-29.
12. Hanoi.Me,DiTian, Puneet.S. Anna.P,Giovanni B.C,2018, Medium-range reference evapotranspiration forecasts for the contiguous United States based on multi-model numerical weather predictions,Journal of Hydrology.Volume 562, July 2018, Pages 502-517 [DOI:10.1016/j.jhydrol.2018.05.029]
13. Irmak, S. Payero, J.O. Martin, D.L. Irmak, A. and T.A. Howell. 2006. Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation. Journal of Irrigation and Drainage Engineering, 132(6):564-578. [DOI:10.1061/(ASCE)0733-9437(2006)132:6(564)]
14. Li, S. 2010. Studies on main crops' evapotranspiration in Hexi corridor based on the SIMETAW model. Master's Thesis, Agricultural Sciences,121p.
15. Noemi, M. 2013. Agricultural water demand assessment using the SIMETAW model. Doctoral Thesis, University of SASSARI, 203p.
16. Okkan, U. and O. Fistikoglu. 2014, evaluating climate change effects on runoff by statistical downscaling and hydrological model GR2M. Theoretical and Applied Climatology, 117(1-2): 343-361 [DOI:10.1007/s00704-013-1005-y]
17. Rowell, D.P., Senior, C.A.,Vellinga, M.,and Graham, R.J. 2016. Can climate projection uncertainty be constrained over Africa using metrics of contemporary performance, Climate Change. 113: 621-633. [DOI:10.1007/s10584-015-1554-4]
18. Rwasoka, D.T. Madamombe, C.E. Gumindoga, W. and A.T. Kabobah. 2014. Calibration, validation, parameter indentifiability and uncertainty analysis of a 2-parameter parsimonious monthly rainfall-runoff model in two catchments in Zimbabwe. Physics and Chemistry of the Earth, Parts A/B/C. 67: 36-46. [DOI:10.1016/j.pce.2013.09.015]
19. Safeeq, M. Fares, A. (2011). Accuracy evaluation of ClimGen weather generator and daily to hourly disaggregation methods in tropical conditions.Journal of Theoretical Applied Climatology,106:321-341. [DOI:10.1007/s00704-011-0438-4]
20. Savage M.J. 1993. Statistical aspects of model validation. Presented at a workshop on the field water balance in the modeling of cropping systems, University of Pretoria, South Africa.
21. Snyder, R. Orang, M. Geng, S. Matyac, S. and S. Sarreshteh. 2004. SIMETAW (Simulation of Evapotranspiration of Applied Water). Journal of California Water Plan Update, 4: 211-226.
22. Swelam, A. Snyder, R.L. and M. Orang. 2010. Modeling evapotranspiration of applied water in Egypt delta: Calibrating SIMETAW model under Nile Delta conditions. The Center for Special Studies and Program (CSSP), Available on: www.waterplan.water.ca.gov.
23. Xiaolin, Y. Fu, C. and C. Qingquan. 2013. The spatial and temporal variation of water requirement of winter wheat based SIMETAW model in Huang-Huai-Hai farming region. American Scientific Publishers,11(6-7): 1149-1155. [DOI:10.1166/sl.2013.2875]
24. Yugang.N, Xiangyun.Q, 2018, Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM, Energy.Volume 148, 1 April 2018, Pages 461-468. [DOI:10.1016/j.energy.2018.01.177]
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