Physically Based Adjustment Factors for Precipitation Estimation in a Large Arid Mountainous Watershed, Northwest China
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 11
Abstract
This study is the first to investigate and improve a quasi–physically based model, MicroMet, by fitting its adjustment factor () for a large data-scarce mountainous watershed in an arid area in Northwest China. The derived factors for both the whole study area (Derived Factor I) and different elevation classes (Derived Factor II) were determined and compared with the original factor in MicroMet for precipitation estimates, with a training period from 1990 to 2010 and a validation period from 2011 to 2013. Results show that the original factor in MicroMet is more suitable for estimating high precipitation over low-elevation areas (below 2,000 m above sea level), but it is not suitable in high mountainous areas. Both Derived Factors I and II can improve the performance of precipitation estimates, and more reliable adjustment factors could be obtained with more in situ observations. The Barnes objective analysis scheme used in MicroMet is more suitable for interpolating large precipitation events with small variability in humid areas; it requires adjustments for applications in arid areas. Although determined from limited observations in the study area, Derived Factor II performed better than Derived Factor I in winter, indicating that the derived factor for the elevation classes is more suitable for estimating extremely low precipitation with greater variability in data-scarce, high-elevation mountainous watersheds in arid areas.
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Acknowledgments
The project is partially funded by the National Natural Science Foundation of China (41501016, 41530752, and 91125010), Scherer Endowment Fund of Department of Geography, Western Michigan University, and the Fundamental Research Funds for the Central Universities (lzujbky-2015-130). The authors sincerely thank the two anonymous reviewers and editors for their thorough and constructive comments and suggestions that significantly improved the quality of this paper.
References
Barnes, S. L. (1964). “A technique for maximizing details in numerical weather map analysis.” J. Appl. Meteor., 3(4), 396–409.
Bruland, O., Liston, G. E., Vonk, J., and Killingtveit, A. (2004). “Modelling of the snow distribution at two high-Arctic sites at Svalbard, Norway, and at a sub-Arctic site in central Norway.” Hydrol. Res., 35(3), 191–208.
Buytaert, W., Celleri, R., Willems, P., De Bièvre, B., and Wyseure, G. (2006). “Spatial and temporal rainfall variability in mountainous areas: A case study from the south Ecuadorian Andes.” J. Hydrol., 329(3), 413–421.
Chow, V. T., Maidment, D. R., and Mays, L. W. (1988). Applied hydrology, McGraw-Hill, Singapore.
Ding, Y., Baisheng, Y. E., and Zhou, W. (1999). “Temporal and spatial precipitation distribution in the Heihe catchment, Northwest China, during the past 40 a.” J. Glaciol. Geocryol., 21(1), 42–48.
Di Piazza, A., Lo Conti, F., Noto, L. V., Viola, F., and La Loggia, G. (2011). “Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy.” Int. J. Appl. Earth Obs. Geoinf., 13(3), 396–408.
Dirks, K. N., Hay, J. E., Stow, C. E., and Harris, D. (1998). “High-resolution studies of rainfall on Norfolk Island. II: Interpolation of rainfall data.” J. Hydrol., 208(3), 187–193.
German, U., Galli, G., Boscacci, M., and Bolliger, M. (2006). “Radar precipitation measurement in a mountainous region.” Q. J. R. Meteorol. Soc., 132(618), 1669–1692.
Goovaerts, P. (2000). “Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall.” J. Hydrol., 228(1), 113–129.
Hasholt, B., Liston, G. E., and Knudsen, N. T. (2003). “Snow distribution modelling in the Ammassalik region, South East Greenland.” Hydrol. Res., 34(1–2), 1–16.
He, C., and Croley, T. E. (2007). “Application of a distributed large basin runoff model in the Great Lakes basin.” Control Eng. Pract., 15(8), 1001–1011.
Hiemstra, C. A., Listton, G. E., and Reiners, W. A. (2006). “Observing, modelling, and validating snow redistribution by wind in a Wyoming upper treeline landscape.” Ecol. Modell., 197(1–2), 35–51.
Hsu, K., Gao, X., Sorooshian, S., and Gupta, H. V. (1997). “Precipitation estimation from remotely sensed information using artificial neural networks.” J. Appl. Meteorol., 36(9), 1176–1190.
Huffman, G. J., Adler, R. F., Bolvin, D. T., and Nelkin, E. J. (2010). “The TRMM multi-satellite precipitation analysis (TMPA).” Satell. Rainfall Appl. Surf. Hydrol., 90(3), 237–247.
Hwang, Y., Clark, M., Rajagopalan, B., and Leavesley, G. (2012). “Spatial interpolation schemes of daily precipitation for hydrologic modeling.” Stochastic Environ. Res. Risk Assess., 26(2), 295–320.
Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P. (2004). “CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolutions.” J. Hydrometeorol., 5(3), 487–503.
Koch, S. E., DesJardins, M., and Kocin, P. J. (1983). “An interactive Barnes objective map analysis scheme for use with satellite and conventional data.” J. Clim. Appl. Meteor., 22(9), 1487–1503.
Krakauer, N. Y., Pradhanang, S. M., Lakhankar, T., and Jha, A. K. (2013). “Evaluating satellite products for precipitation estimation in mountain regions: A case study for Nepal.” Remote Sens., 5(8), 4107–4123.
Kurtzman, D., Navon, S., and Morin, E. (2009). “Improving interpolation of daily precipitation for hydrologic modelling: Spatial patterns of preferred interpolators.” Hydrol. Process., 23(23), 3281–3291.
Li, Z., Xu, Z., Shao, Q., and Yang, J. (2009). “Parameter estimation and uncertainty analysis of SWAT model in upper reaches of the Heihe River Basin.” Hydrol. Process., 23(19), 2744–2753.
Liston, G. E., and Elder, K. (2006). “A meteorological distribution system for high-resolution terrestrial modeling (MicroMet).” J. Hydrometeorol., 7(2), 217–234.
Liston, G. E., and Winther, J.-G. (2005). “Antarctic surface and subsurface snow and ice melt fluxes.” J. Clim., 18(10), 1469–1481.
Masih, I., Maskey, S., Uhlenbrook, S., and Smakhtin, V. (2011). “Assessing the impact of areal precipitation input on streamflow simulations using the SWAT model.” J. Am. Water Resour. Assoc., 47(1), 179–195.
Milzow, C., Krogh, P. E., and Bauer-Gottwein, P. (2011). “Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment.” Hydrol. Earth Syst. Sci., 15(6), 1729–1743.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE, 50(3), 885–900.
Morin, E., and Gabella, M. (2007). “Radar-based quantitative precipitation estimation over Mediterranean and dry climate regimes.” J. Geophys. Res., 112(D20), 108.
Pan, X., and Li, X. (2014). “Comparison of downscaled precipitation data over a mountainous watershed: A case study in the Heihe River Basin.” J. Hydrometeorol., 15(4), 1560–1574.
Qi, S., and Luo, F. (2006). “Land-use change and its environmental impact in the Heihe River Basin, arid northwestern China.” Environ. Geol., 50(4), 535–540.
Shao, Q., et al. (2012). “Gauge based precipitation estimation and associated model and product uncertainties.” J. Hydrol., 444–445, 100–112.
Sorooshian, S., Hsu, K., Gao, X., Gupta, H. V., Imam, B., and Braithwaite, D. (2000). “Evaluation of PERSIANN system satellite-based estimates of tropical rainfall.” Bull. Am. Meteor. Soc., 81(9), 2035–2046.
Teegavarapu, R. S. V., Tufail, M., and Ormsbee, L. (2009). “Optimal functional forms for estimation of missing precipitation data.” J. Hydrol., 374(1), 106–115.
Thiessen, A. H. (1911). “Precipitation averages for large areas.” Mon. Weather Rev., 39(7), 1082–1084.
Thornton, P. E., Running, S. W., and White, M. A. (1997). “Generating surfaces of daily meteorological variables over large regions of complex terrain.” J. Hydrol., 190(3–4), 214–251.
Wagner, P. D., Fiener, P., Wilken, F., Kumar, S., and Schneider, K. (2012). “Comparison and evaluation of spatial interpolation schemes for daily rainfall in data scarce regions.” J. Hydrol., 464–465, 388–400.
Yong, B., et al. (2012). “Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin.” J. Geophys. Res., 117(D09), 108.
Zhang, L., et al. (2016). “Comparison of SWAT and DLBRM for hydrological modelling of a mountainous watershed in arid Northwest China.” J Hydrol. Eng., 04016007.
Zhang, L., He, C., Li, J., Wang, Y., and Wang, Z. (2017). “Comparison of IDW and physically-based IDEW method in hydrological modelling for a large mountainous watershed, Northwest China.” River Res. Appl., 33(6), 912–924.
Zhang, X., and Srinivasan, R. (2009). “GIS-based spatial precipitation estimation: A comparison of geostatistical approaches.” J. Am. Water Resour. Assoc., 45(4), 894–906.
Zhao, C., Nan, Z., and Cheng, G. (2005). “Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China.” Ecol. Modell., 189(1–2), 209–220.
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©2017 American Society of Civil Engineers.
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Received: May 17, 2016
Accepted: May 8, 2017
Published online: Aug 18, 2017
Published in print: Nov 1, 2017
Discussion open until: Jan 18, 2018
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