Spatial interpolation schemes of daily precipitation for hydrologic modeling

被引:49
作者
Hwang, Yeonsang [1 ]
Clark, Martyn [2 ]
Rajagopalan, Balaji [3 ]
Leavesley, George [4 ]
机构
[1] Arkansas State Univ, Coll Engn, State Univ, AR 72467 USA
[2] Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA
[3] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
[4] US Geol Survey, Denver, CO 80225 USA
关键词
Interpolation; Local polynomial; Regression; Hydrologic; Modeling; Daily precipitation; PARAMETER-ESTIMATION; RAINFALL FIELDS; EXTREME RAINFALL; AIR-TEMPERATURE; RIVER-BASIN; VARIABILITY; VARIABLES; UNCERTAINTY; CALIBRATION; ELEVATION;
D O I
10.1007/s00477-011-0509-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the authors propose a two-step regression technique for effective daily precipitation estimation. In this simple two-step estimation process, precipitation occurrence is first generated via a logistic regression model before estimate the amount of precipitation separately on wet days. This process generated the precipitation occurrence, amount, and spatial correlation effectively. A distributed hydrologic model (PRMS) was used for the impact analysis in daily time step simulation. Multiple simulations suggested noticeable differences between the input alternatives generated by three different interpolation schemes. Differences are shown in overall simulation error against the observations, degree of explained variability, and seasonal volumes. Simulated streamflows also showed different characteristics in mean, maximum, minimum, and peak flows. Given the same parameter optimization technique, LWP input showed least streamflow error in Alapaha basin and CMLR input showed least error (still very close to LWP) in Animas basin. All of the two-step interpolation inputs resulted in lower streamflow error compared to the directly interpolated inputs.
引用
收藏
页码:295 / 320
页数:26
相关论文
共 99 条
[91]   Improved interpolation of meteorological forcings for hydrologic applications in a Swiss Alpine region [J].
Tobin, Cara ;
Nicotina, Ludovico ;
Parlange, Marc B. ;
Berne, Alexis ;
Rinaldo, Andrea .
JOURNAL OF HYDROLOGY, 2011, 401 (1-2) :77-89
[92]   Influence of parameter estimation uncertainty in Kriging: Part 2 - Test and case study applications [J].
Todini, E ;
Pellegrini, F ;
Mazzetti, C .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2001, 5 (02) :225-232
[93]   ERRORS AND PARAMETER-ESTIMATION IN PRECIPITATION-RUNOFF MODELING .2. CASE-STUDY [J].
TROUTMAN, BM .
WATER RESOURCES RESEARCH, 1985, 21 (08) :1214-1222
[94]  
Walpole RE, 1998, PROBABILITY STAT ENG, P665
[95]   A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado [J].
Wilby, RL ;
Hay, LE ;
Leavesley, GH .
JOURNAL OF HYDROLOGY, 1999, 225 (1-2) :67-91
[96]   A Gauge-based analysis of daily precipitation over East Asia [J].
Xie, Pingping ;
Yatagai, Akiyo ;
Chen, Mingyue ;
Hayasaka, Tadahiro ;
Fukushima, Yoshihiro ;
Liu, Changming ;
Yang, Song .
JOURNAL OF HYDROMETEOROLOGY, 2007, 8 (03) :607-626
[97]  
YOUNG KC, 1992, MON WEATHER REV, V120, P2561, DOI 10.1175/1520-0493(1992)120<2561:ATWMFI>2.0.CO
[98]  
2
[99]   GIS-Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches1 [J].
Zhang, Xuesong ;
Srinivasan, Raghavan .
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2009, 45 (04) :894-906