Evaluation of the CLIGEN Weather Generator for Producing Climate Data Records in the Northeast of Iran (Case Study: Sanganeh Station, Khorasan Razavi Province)

Document Type : Research Paper


1 Ph.D., Watershed Management, University of Tehran.

2 Associate Professor, Faculty of Natural Resources, University of Tehran.


Recorded daily weather data are used as climate input in a number of models that continuously simulate the natural resource systems (Yu, 2003). However, it is sometimes difficult to obtain the required data, and also to process them simply because they are lacking or unavailable. Weather generators have been accordingly developed to produce synthetic weather sequences capturing the essential features of observed weather data needed for running the models. In effect, weather generators are widely used in hydrological, ecological, and crop-yield modeling frameworks. CLIGEN (CLImate GENerator), which was first developed as a component of the Water Erosion Prediction Project (WEPP) (Nicks et al., 1995), is a stochastic weather generator that generates long sequences of daily precipitation (e.g., the pattern of each rainfall event including its duration, time to peak, and intensity), maximum and minimum daily temperature, dew point temperature, solar radiation, and wind speed and direction. CLIGEN has been currently used as a general weather generator beyond its initial intention in many locations around the world. This research was thus conducted to examine the efficiency of CLIGEN in generating the weather data in Sanganeh station in the northeast of Iran.


Main Subjects

  • 1-    Alizadeh, A., 2001. Principles of Applied Hydrology. Emam Reza University Publication, Mashhad. (In Persian). 

    2-    Al-Mukhtar, M., Dunger, V. and Merkel, B., 2014.  Evaluation of the climate generator model CLIGEN for rainfall data simulation in Bautzen catchment area, Germany. Hydrology Research. 45(4-5), pp.615–630.

    • Arnold, J.G. and Williams, J.R., 1989. Stochastic generation of internal storm structure. Trans. 32(1), pp.161-166.


    • Arnold, J.G., Williams, J.R., Nicks, A.D. and Sammons, N.D., 1990. SWRRB, A Basin Scale Simulation Model for Soil and Water Resources Management. Texas A&M University Press.


    • Bakhtiari, B., Shahraki, N. and Ahmadi, M.M., 2014. Estimation Probability of Daily precipitation by using Markov Chain Models in Different Climates of Iran. Iran-Water Resources Research. 10(2), pp.44-55. (In Persian).

    6-    Caviglione, J.H., Fonseca, I.C.D.E. and Filho, J.T., 2013. Viability of CLIGEN in the climatic conditions of Paraná state, Brazil. Rev. Agricultural Meteorology and Climatology. 17(6), pp.655-664.


    7-    Chen, J. and Brissette, F.P., 2014. Comparison of five stochastic weather generators in simulating daily precipitation and temperature for the Loess Plateau of China. International Journal of Climatology, 34(10), pp.3089–3105.


    • Elliot, W.J. and Arnold, C.D., 2001. Validation of the weather generator CLIGEN with precipitation data from Uganda. Trans ASAE. 44(1), pp.53–58.


    • Fan, J.Ch., Yang, Ch.H., Liu, Ch.H. and Huang, H.Y., 2013. Assessment and validation of CLIGEN-simulated rainfall data for Northern Taiwan. Paddy Water Environ. 11, pp.161–173.


    • Hatami Yazd, A., Taqvaei Abrishami, A.A. and Ghahreman, B. 2005. Patterns of precipitation temporal distribution in Khorasan Province. Iran-Water Resources Research. 3(1), pp.54-64. (In Persian).


    • Hejam, S. and Malekifard, F., 2002. Determination of patterns of precipitation temporal distribution in stations of Khorasan Razavi Province. Journal of Earth and Space Physics. 28(2), pp.35-44. (In Persian).


    • Hoogenboom, G., 2000. Contribution of agro-meteorology to the simulation of crop production and its applications. and Forest Meteorol. 103, pp.137-157.


    • Hoomehr, S., Schwartz, J.S. and Yoder, D.C., 2016. Potential changes in rainfall erosivity under GCM climate change scenarios for the southern Appalachian region, USA. CATENA, 136, pp.141–151.


    • Kinnell, P.I.A. 2019. CLIGEN as a weather generator for RUSLE2. CATENE, 172, pp.877-880.


    • Kinnell, P.I.A., Yu, B. 2020. CLIGEN as a weather generator for predicting rainfall erosion using USLE based modelling system. CATENA, 194.


    • Kou, X., Ge, J., Wang, Y. and Zhang, C., 2007. Validation of the weather generator CLIGEN with daily precipitation data from the Loess Plateau, China. Journal of Hydrology. 347, pp.347-357.


    • Lobo, G.P., Frankenberger, J.R., Flanagan, D.C. and Bonilla, C.A., 2015. Evaluation and improvement of the CLIGEN model for storm and rainfall erosivity generation in Central Chile. CATENA, 127, pp.206–213.


    18- McKague, K., Rudra, R., Ogilvie, J., Ahmed, I. and Gharabaghi, B., 2005. Evaluation of Weather Generator ClimGen for Southern Ontario. Canadian Water Resources Journal /Revue canadienne des ressources hydriques. 30(4), pp.315-330.


    • Nazari Samani, A.A., Abbasi Jondani, Sh., 2015. Evaluation of efficiency of Cligen Generator for producing of climate data for using in WEPP model (Case study: Zidasht station, Alborz province). J of Water and Soil Conservation, 23(2), pp.43-62. (In Persian).


    • Nicks, A.D. and Gander, G.A., 1994. CLIGEN: a weather generator for climate inputs to water resources and other models. In: Watson, D.G., Zazueta, F.S., Harrison, T.V. (Eds.), Proceedings of fifth International Conference on Computer in Agriculture. St. Joseph, MI, pp.903–909.


    • Nicks, A.D., Lane, L.J. and Gander, G.A., 1995. Chapter 2. Weather Generator. In: (Flanagan, D.C., and M.A. Nearing, (eds.)) Hillslope Profile and Watershed Model Documentation. NSERL Report No. 10, USDA-ARS National Soil Erosion Research Laboratory, West Lafayette, IN.
    • Rangavar, A.S., 2004. Final report project, research in important elements in soil erosion in Khorasan rangelands. Research Center for Agriculture and Natural Resources of Razavi Khorasan. (In Persian).


    • Richardson, C.W. and Wright, D.A., 1984. WGEN: A model for generating weather variables. US Department of Agriculture, Agricultural Research Service, ARS-8.


    • Vaghefi, P. and Yu, B., 2016. Use of CLEGEN to simulated decreasing precipitation trends in the Southwest of Western Australia. Transactions of the ASABE. 59(1), pp.49-61.


    • Yu, B., 2000. Improvement and evaluation of CLIGEN for storm generation. ASCE. 46, pp.301–307.


    • Zhang, Y., Liu, B., Wang, Z. and Zhu, Q., 2008 Evaluation of CLIGEN for storm generation on the semiarid Loess Plateau in China. 73(1), pp.1–9.