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http://dx.doi.org/10.3741/JKWRA.2020.53.10.903

Optimization of PRISM parameters using the SCEM-UA algorithm for gridded daily time series precipitation  

Kim, Yong-Tak (Department of Civil and Environmental Engineering, Sejong University)
Park, Moonhyung (Korea Institute of Construction Technology)
Kwon, Hyun-Han (Department of Civil and Environmental Engineering, Sejong University)
Publication Information
Journal of Korea Water Resources Association / v.53, no.10, 2020 , pp. 903-915 More about this Journal
Abstract
Long-term high-resolution hydro-meteorological data has been recognized as an essential element in establishing the water resources plan. The increasing demand for spatial precipitation in various areas such as climate, hydrology, geography, ecology, and environment is apparent. However, potential limitations of the existing area-weighted and numerical interpolation methods for interpolating precipitation in high altitude areas remains less explored. The proposed PRISM (Precipitation-Elevation Regressions on Independent Slopes Model) model can produce gridded precipitation that can adequately consider topographic characteristics (e.g., slope and altitude), which are not substantially included in the existing interpolation techniques. In this study, the PRISM model was optimized with SCEM-UA (Shuffled Complex Evolution Metropolis-University of Arizona) to produce daily gridded precipitation. As a result, the minimum impact radius was calculated 9.10 km and the maximum 34.99 km. The altitude of coastal weighted was 681.03 m, the minimum and maximum distances from coastal were 9.85 km and 38.05 km. The distance weighting factor was calculated to be about 0.87, confirming that the PRISM result was very sensitive to distance. The results showed that the proposed PRISM model could reproduce the observed statistical properties reasonably well.
Keywords
Daily rainfall; Spatial interpolation; PRISM; SCEM-UA; Optimization;
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1 Bagirov, A.M., Rubinov, A.M., and Zhang, J. (2005). "Local optimization method with global multidimensional search." Journal of Global Optimization, Vol. 32, No. 2, pp. 161-179.   DOI
2 Barton, R.R., and Ivey Jr, J.S. (1996). "Nelder-mead simplex modifications for simulation optimization." Management Science, Vol. 42, No. 7, pp. 954-973.   DOI
3 Basist, A., Bell, G.D., and Meentemeyer, V. (1994). "Statistical relationships between topography and precipitation patterns." Journal of climate, Vol. 7, No. 9, pp. 1305-1315.   DOI
4 Cui, L.J., and Kuczera, G. (2003). "Optimizing urban water supply headworks using probabilistic search methods." Journal of water resources planning and management, Vol. 129, No. 5, pp. 380-387.   DOI
5 Daly, C., Gibson, W.P., Taylor, G.H., Johnson, G.L., and Pasteris, P. (2002). "A knowledge-based approach to the statistical mapping of climate." Climate research, Vol. 22, No. 2, pp. 99-113.   DOI
6 Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J., and Pasteris, P.P. (2008). "Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States." International Journal of Climatology: a Journal of the Royal Meteorological Society, Vol. 28, No. 15, pp. 2031-2064.   DOI
7 Daly, C., Neilson, R.P., and Phillips, D.L. (1994). "A statistical-topographic model for mapping climatological precipitation over mountainous terrain." Journal of applied meteorology, Vol. 33, No. 2, pp. 140-158.   DOI
8 Duan, Q.Y., Gupta, V.K., and Sorooshian, S. (1993). "Shuffled complex evolution approach for effective and efficient global minimization." Journal of optimization theory and applications, Vol. 76, No. 3, pp. 501-521.   DOI
9 Duan, Q.Y., Sorooshian, S., and Gupta, V. (1992). "Effective and efficient global optimization for conceptual rainfall-runoff models." Water resources research, Vol. 28, No. 4, pp. 1015-1031.   DOI
10 Eum, H.I., and Kim, J.P. (2015). "Generation of high-resolution gridded climate variables using modified PRISM over South Korea." Proceedings of the Korea Water Resources Association Conference, KWRA, pp. 10-13.
11 Hooke, R., and Jeeves, T.A. (1961). ""Direct Search" Solution of numerical and statistical problems." Journal of the ACM, Vol. 8, No. 2, pp. 212-229.   DOI
12 Gan, T.Y., and Biftu, G.F. (1996). "Automatic calibration of conceptual rainfall‐runoff models: Optimization algorithms, catchment conditions, and model structure." Water resources research, Vol. 32, No. 12, pp. 3513-3524.   DOI
13 Gyalistras, D. (2003). "Development and validation of a high-resolution monthly gridded temperature and precipitation data set for Switzerland (1951-2000)." Climate Research, Vol. 25, No. 1, pp. 55-83.   DOI
14 Hasenauer, H., Merganicova, K., Petritsch, R., Pietsch, S.A., and Thornton, P.E. (2003). "Validating daily climate interpolations over complex terrain in Austria." Agricultural and Forest Meteorology, Vol. 119, No. 1-2, pp. 87-107.   DOI
15 Kalin, L., Isik, S., Schoonover, J.E., and Lockaby, B.G. (2010) "Predicting water quality in unmonitored watersheds using artificial neural networks." Journal of environmental quality, Vol. 39, No. 4, pp. 1429-1440.   DOI
16 Kumar, R., Kabamba, P.T., and Hyland, D.C. (2004). "Analysis and parameter selection for an adaptive random search algorithm." 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No. 04CH37601), IEEE, Nassau, Bahamas, Vol. 5, pp. 5322-5327.
17 Khambampati, A.K., Ijaz, U.Z., Lee, J.S., Kim, S., and Kim, K.Y. (2010). "Phase boundary estimation in electrical impedance tomography using the Hooke and Jeeves pattern search method." Measurement Science and Technology, Vol. 21, No. 3, p. 035501.   DOI
18 Kim, J.P., Kim, G., and Lee, W.S. (2012). "Estimation of monthly areal precipitation using Daymet and PRISM." Journal of the Korean Society of Hazard Mitigation, Vol. 12, No. 5, pp. 83-90.   DOI
19 Kim, Y.T., Kim, J.Y., Lee, J.C., and Kwon, H.H. (2017). "An hourly extreme data estimation method developed using nonstationary bayesian beta distribution." Journal of Korean Society on Water Environment, Vol. 33, No. 3, pp. 256-272.   DOI
20 Kittel, T.G.F., Royle, J.A., Daly, C., Rosenbloom, N.A., Gibson, W.P., Fisher, H.H., Schimel, D., Berliner, L., and Participants, V.E.M.A.P. (1997). "A gridded historical (1895-1993) bioclimate dataset for the conterminous United States." Proceedings of the 10th conference on applied climatology, Boston, M.A., U.S., Vol. 20, No. 24, pp. 20-24. AMS.
21 Liong, S.Y., Khu, S.T., and Chan, W.T. (1996). "Construction of multiobjective function response surface with genetic algorithm and neural network." Proceedings of the International Conference on Water Resources and Environmental Research, ICWREE, Vol. 2931, pp. 3138.
22 Marquinez, J., Lastra, J., and Garcia, P. (2003). "Estimation models for precipitation in mountainous regions: The use of GIS and multivariate analysis." Journal of hydrology, Vol. 270, No. 1-2, pp. 1-11.   DOI
23 Pronzato, L., Walter, E., Venot, A., and Lebruchec, J.F. (1984). "A general-purpose global optimizer: Implimentation and applications." Mathematics and Computers in Simulation, Vol. 26, No. 5, pp. 412-422.   DOI
24 Mkhwanazi, M., Chavez, J.L., and Rambikur, E.H. (2012). "Comparison of large aperture scintillometer and satellite-based energy balance models in sensible heat flux and crop evapotranspiration determination." International Journal of Remote Sensing Applications, Vol. 2, No. 1, pp. 24-30.
25 Ndiritu, J.G., and Daniell, T.M. (2001). "An improved genetic algorithm for rainfall-runoff model calibration and function optimization." Mathematical and Computer Modelling, Vol. 33, No. 6-7, pp. 695-706.   DOI
26 Nelder, J.A., and Mead, R. (1965). "A simplex method for function minimization." The computer journal, Vol. 7, No. 4, pp. 308-313.   DOI
27 Park, J-C., Jung, I-W., Chang, H-J., and Kim, M-K. (2012). "Optimization of PRISM parameters and digital elevation model resolution for estimating the spatial distribution of precipitation in South Korea." Journal of the Korean Association of Geographic Information Studies, Vol. 15, No. 3, pp. 36-51.   DOI
28 Paul, G., Gowda, P.H., Prasad, P.V., Howell, T.A., and Staggenborg, S.A. (2011). "Evaluating surface energy balance system (SEBS) using aircraft data collected during BEAREX07." World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability, ASCE, C.A., pp. 2777-2786.
29 Rodriguez-Lado, L., Sparovek, G., Vidal-Torrado, P., Dourado-Neto, D., and Macias-Vazquez, F. (2007). "Modelling air temperature for the state of São Paulo, Brazil." Scientia Agricola, Vol. 64, No. 5, pp. 460-467.   DOI
30 Shin, S.C., Kim, M.K., Suh, M.S., Rha, D.K., Jang, D.H., Kim, C.S., Lee, W.S., and Kim, Y.H. (2008). "Estimation of high resolution gridded precipitation using GIS and PRISM." Atmosphere, Vol. 18, No. 1, pp. 71-81.
31 Tanakamaru, H. (1996). "Application of global optimization to parameter estimation of the Tank model." Proceedings of the International Conference on Water Resources & Environment Research, ICWRER, Kyoto, Japan, pp. 39-46.
32 Thornton, P.E., Running, S.W., and White, M.A. (1997). "Generating surfaces of daily meteorological variables over large regions of complex terrain." Journal of hydrology, Vol. 190, No. 3-4, pp. 214-251.   DOI
33 Um, M., and Jeong, C. (2011). "Spatial analysis of precipitation with PRISM in Gangwondo." Journal of Korea Water Resources Association, Vol. 44, No. 3, pp. 179-188.   DOI
34 Yoon, J.S., Oh, B.H., Cho, J.W., Kim, Y.T., and Hwang, S.H. (2017). "Spatial downscaling of daily rainfall using geographically weighted regression model." Journal of the Korean Society of Hazard Mitigation, Vol. 17, No. 13, pp. 305-318.
35 Vrugt, J. A., Gupta, H. V., Bouten, W., and Sorooshian, S. (2003). "A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters." Water resources research, Vol. 39, No. 8, pp. 1-16.
36 Willmott, C.J., and Matsuura, K. (1995). "Smart interpolation of annually averaged air temperature in the United States." Journal of Applied Meteorology, Vol. 34, No. 12, pp. 2577-2586.   DOI
37 Wotling, G., Bouvier, C., Danloux, J., and Fritsch, J.M. (2000). "Regionalization of extreme precipitation distribution using the principal components of the topographical environment." Journal of hydrology, Vol. 233, No. 1-4, pp. 86-101.   DOI
38 Vrugt, J.A., Gupta, H.V., Bouten, W., and Sorooshian, S. (2003a). Shuffled complex evolution metropolis (SCEM-UA) algorithm. Manual, version, 1, 24.
39 Zhu, Q.A., Zhang, W.C., and Zhao, D.Z. (2005). "Topography-based spatial daily precipitation interpolation by means of PRISM and Thiessen polygon analysis." Scientia Geographica Sinica, Vol. 25, No. 2, pp. 233-238.   DOI