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Long Years Precipitation Parameters by CLIGEN Precipitation Model in Tokat Province

Year 2018, Volume: 8 Issue: 1, 319 - 328, 31.03.2018

Saniye Demir , İrfan Oğuz Ömer Faruk Ciba

https://doi.org/10.21597/jist.407892

Abstract

In this study, by using CLIGEN, between 2005-2015 long years historical daily

precipitation records were simulated from Tokat weather stations. The basic statistics of daily, monthly

and annual precipitations (mean, standart deviation, skewness) were compared with those derived from

the observed and generated by CLIGEN weather series. The results showed no significant difference

between observed and simulated values for rainfall parameters. Especially, CLIGEN estimations tend to

underestimate the observed data in spring and winter months. CLIGEN exhibited higher performance in

simulation of monthly and annual rainfall.

Keywords

CLIGEN Climate variability Tokat precipitations

References

  • Anonim. 2015. Tokat iklim verileri. Metereoloji Genel Müdürlüğü. 2015.
  • Elliot WJ, Arnold, CD, 2001. Validation of the weather generator CLIGEN with precipitation data from Uganda. Trans. ASAE 44 (1):53-58.
  • Fan JC, Yang CH, Li, CH, Huang, HY,2013. Assessment and validation of CLIGEN-simulated rainfall data for Northern Taiwan. Paddy Water Environ 11:161-173.
  • Headrick MG, Wilson B N, 1997. An evaluation of stochastic weather parameters for Minnesota and their impact on WEPP. ASAE paper no. 972230. St. Joseph, Mich: ASAE.
  • Johnson GL, CL, Hanson SP, Ballard BE, 1996. Stochastic weather simulation: Overview and analysis of two commonly used models. J. Appl. Meteorol., 35(1), 1878-1896.
  • Jones JW, Hoogenboom G, Porter CH, Boote KH and 6 others, 2003. The DSSAT cropping system model. Eur. J. Agron., 18, 235-265.
  • Kou XG, Jianping Y, Wang CZ, 2007. Validation of the weather generator CLIGEN with daily precipitation data from the Loess Plateau. J. Hydrol. 347(3-4), 347-357.
  • Mann HB, 1945. Nonparametric tests against trend. Econometrica 13:245–259.
  • Min YM, Kryjov VN, An KH, Hameed, SN Sohn SJ, Lee WJ, Oh JH, 2011. Evaluation Of the weather generator CLIGEN with daily precipitation characteristics in Korea. The Korean Meteorological Society And Springer, 47(3), Pp.255–263.
  • Nearing MA, Foster GR, Lane LJ and Finkner SC, 1989. A process-based soil erosion model for USDA-Water Erosion Prediction Project technology. (ın press) Transactions of the ASAE.
  • Nicks AD, Lane LJ, Gander GA, 1995. USDA-Water Erosion Prediction Project: Hillslope profile and watershed model documentation. 2.1-2.22. NSERL report no. 10. Flanagan, D.C., Nearing, M.A (ed) West Lafayette Ind: USDA-ARS National Soil Erosion Reserach Laboratory.
  • Soil Survey Staff, 2009. R. Burt (ed.). Soil survey field and laboratory methods manual. Ver. 1.0. USDA/NRCS, Soil Survey Investigations Report No. 51. Available online at http://www.soils.usda.gov/technical/ (verified January 24, 2011).
  • Wilks DS, 1999. Multisite downscaling of daily precipitation with a stochastic weather models. Prog. Phys. Geog. 23, 329-357.
  • Zhang XC, Garbrecht JD, 2003. Evaluation of CLIGEN precipitation parameters and their implication on WEPP runoff and erosion prediction. Trans. ASAE, 46, 311-320.
  • Zhang XC, Garbrecht JD, 2007. A comparision of explicit and implicit spatial downscaling of GCM output for soil erosion and crop production assaessments. Climatic Change, 84, 337-363.

Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi

Year 2018, Volume: 8 Issue: 1, 319 - 328, 31.03.2018

Saniye Demir , İrfan Oğuz Ömer Faruk Ciba

https://doi.org/10.21597/jist.407892

Abstract

Bu çalışmada, Tokat meteoroloji istasyonundan 2005-2015 yıllarına ait günlük yağış verileri,
CLIGEN yağış modeli kullanılarak tahmin edilmiştir. Gözlenen ve tahmin edilen günlük, aylık ve yıllık
yağışların istatistiksel analizleri (ortalama, standart sapma, ve çarpıklık) karşılaştırılmıştır. Elde edilen
sonuçlardan, gözlenen ve tahmin edilen yağış verileri arasındaki ilişkinin istatistiksel olarak önemsiz
olduğu görülmüştür. CLIGEN özellikle ilkbahar ve kış aylarında günlük yağış verilerini gözlenen
değerin hafif altında tahmin etme eğilimdedir. Yıllık toplam ortalama ve aylık ortalama yağışları ise
tahmin etmede oldukça yüksek bir performans göstermiştir.

Keywords

CLIGEN İklimsel değişiklikler Tokat yağış

References

  • Anonim. 2015. Tokat iklim verileri. Metereoloji Genel Müdürlüğü. 2015.
  • Elliot WJ, Arnold, CD, 2001. Validation of the weather generator CLIGEN with precipitation data from Uganda. Trans. ASAE 44 (1):53-58.
  • Fan JC, Yang CH, Li, CH, Huang, HY,2013. Assessment and validation of CLIGEN-simulated rainfall data for Northern Taiwan. Paddy Water Environ 11:161-173.
  • Headrick MG, Wilson B N, 1997. An evaluation of stochastic weather parameters for Minnesota and their impact on WEPP. ASAE paper no. 972230. St. Joseph, Mich: ASAE.
  • Johnson GL, CL, Hanson SP, Ballard BE, 1996. Stochastic weather simulation: Overview and analysis of two commonly used models. J. Appl. Meteorol., 35(1), 1878-1896.
  • Jones JW, Hoogenboom G, Porter CH, Boote KH and 6 others, 2003. The DSSAT cropping system model. Eur. J. Agron., 18, 235-265.
  • Kou XG, Jianping Y, Wang CZ, 2007. Validation of the weather generator CLIGEN with daily precipitation data from the Loess Plateau. J. Hydrol. 347(3-4), 347-357.
  • Mann HB, 1945. Nonparametric tests against trend. Econometrica 13:245–259.
  • Min YM, Kryjov VN, An KH, Hameed, SN Sohn SJ, Lee WJ, Oh JH, 2011. Evaluation Of the weather generator CLIGEN with daily precipitation characteristics in Korea. The Korean Meteorological Society And Springer, 47(3), Pp.255–263.
  • Nearing MA, Foster GR, Lane LJ and Finkner SC, 1989. A process-based soil erosion model for USDA-Water Erosion Prediction Project technology. (ın press) Transactions of the ASAE.
  • Nicks AD, Lane LJ, Gander GA, 1995. USDA-Water Erosion Prediction Project: Hillslope profile and watershed model documentation. 2.1-2.22. NSERL report no. 10. Flanagan, D.C., Nearing, M.A (ed) West Lafayette Ind: USDA-ARS National Soil Erosion Reserach Laboratory.
  • Soil Survey Staff, 2009. R. Burt (ed.). Soil survey field and laboratory methods manual. Ver. 1.0. USDA/NRCS, Soil Survey Investigations Report No. 51. Available online at http://www.soils.usda.gov/technical/ (verified January 24, 2011).
  • Wilks DS, 1999. Multisite downscaling of daily precipitation with a stochastic weather models. Prog. Phys. Geog. 23, 329-357.
  • Zhang XC, Garbrecht JD, 2003. Evaluation of CLIGEN precipitation parameters and their implication on WEPP runoff and erosion prediction. Trans. ASAE, 46, 311-320.
  • Zhang XC, Garbrecht JD, 2007. A comparision of explicit and implicit spatial downscaling of GCM output for soil erosion and crop production assaessments. Climatic Change, 84, 337-363.
There are 15 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Engineering
Journal Section Toprak Bilimi ve Bitki Besleme / Soil Science and Plant Nutrition
Authors

Saniye Demir 0000-0003-3908-7070

İrfan Oğuz This is me 0000-0002-1576-333X

Ömer Faruk Ciba This is me 0000-0001-8297-2855

Publication Date March 31, 2018
Submission Date July 4, 2017
Acceptance Date November 14, 2017
Published in Issue Year 2018 Volume: 8 Issue: 1

Cite

APA Demir, S., Oğuz, İ., & Ciba, Ö. F. (2018). Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi. Journal of the Institute of Science and Technology, 8(1), 319-328. https://doi.org/10.21597/jist.407892
AMA Demir S, Oğuz İ, Ciba ÖF. Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi. J. Inst. Sci. and Tech. March 2018;8(1):319-328. doi:10.21597/jist.407892
Chicago Demir, Saniye, İrfan Oğuz, and Ömer Faruk Ciba. “Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli Ile Değerlendirilmesi”. Journal of the Institute of Science and Technology 8, no. 1 (March 2018): 319-28. https://doi.org/10.21597/jist.407892.
EndNote Demir S, Oğuz İ, Ciba ÖF (March 1, 2018) Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi. Journal of the Institute of Science and Technology 8 1 319–328.
IEEE S. Demir, İ. Oğuz, and Ö. F. Ciba, “Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi”, J. Inst. Sci. and Tech., vol. 8, no. 1, pp. 319–328, 2018, doi: 10.21597/jist.407892.
ISNAD Demir, Saniye et al. “Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli Ile Değerlendirilmesi”. Journal of the Institute of Science and Technology 8/1 (March 2018), 319-328. https://doi.org/10.21597/jist.407892.
JAMA Demir S, Oğuz İ, Ciba ÖF. Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi. J. Inst. Sci. and Tech. 2018;8:319–328.
MLA Demir, Saniye et al. “Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli Ile Değerlendirilmesi”. Journal of the Institute of Science and Technology, vol. 8, no. 1, 2018, pp. 319-28, doi:10.21597/jist.407892.
Vancouver Demir S, Oğuz İ, Ciba ÖF. Tokat İlin’deki Uzun Yıllar Yağış Parametrelerinin CLIGEN Yağış Modeli ile Değerlendirilmesi. J. Inst. Sci. and Tech. 2018;8(1):319-28.