期刊
JOURNAL OF HYDROLOGY
卷 508, 期 -, 页码 410-417出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2013.11.022
关键词
Thin-plate smoothing spline; Residual correction; Gauge observation; Cressman weight; Remote sensing data
资金
- National Program on Key Basic Research Project of China [2010CB951604, 2010CB950703]
- National Natural Science foundation of China General Program [40975062, 40875062]
- National Natural Science Foundation of China [41101375]
A new approach is presented to construct daily gridded precipitation fields with high spatial resolution by fusing gauge precipitation observations and existing gridded precipitation, including remote sensing precipitation products and reanalysis data. The approach comprises of the following two steps: first, gauge observations are used as the response variable, and a bivariate thin-plate smoothing spline and an existing gridded precipitation field are used as explanatory variables, to estimate the precipitation trend surface which is better than using the gridded precipitation field only; then the Cressman weight is modified and applied to correct the correlated residual field to ensure the interpolated precipitation is close to observations. An approach for estimating the error covariance matrix of the interpolated precipitation field is also provided. An observed daily precipitation dataset from New Zealand is then applied to validate the proposed approach. The results suggest that the proposed interpolation approach can produce precipitation surfaces with high spatial resolution and smaller interpolation errors in both data sparse and data dense areas. (C) 2013 Elsevier B.V. All rights reserved.
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