Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region
Joint Authors
Yang, Xihua
Xie, Xiaojin
Liu, De Li
Ji, Fei
Wang, Lin
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents spatial interpolation techniques to produce finer-scale daily rainfall data from regional climate modeling.
Four common interpolation techniques (ANUDEM, Spline, IDW, and Kriging) were compared and assessed against station rainfall data and modeled rainfall.
The performance was assessed by the mean absolute error (MAE), mean relative error (MRE), root mean squared error (RMSE), and the spatial and temporal distributions.
The results indicate that Inverse Distance Weighting (IDW) method is slightly better than the other three methods and it is also easy to implement in a geographic information system (GIS).
The IDW method was then used to produce forty-year (1990–2009 and 2040–2059) time series rainfall data at daily, monthly, and annual time scales at a ground resolution of 100 m for the Greater Sydney Region (GSR).
The downscaled daily rainfall data have been further utilized to predict rainfall erosivity and soil erosion risk and their future changes in GSR to support assessments and planning of climate change impact and adaptation in local scale.
American Psychological Association (APA)
Yang, Xihua& Xie, Xiaojin& Liu, De Li& Ji, Fei& Wang, Lin. 2015. Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052771
Modern Language Association (MLA)
Yang, Xihua…[et al.]. Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region. Advances in Meteorology No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052771
American Medical Association (AMA)
Yang, Xihua& Xie, Xiaojin& Liu, De Li& Ji, Fei& Wang, Lin. Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052771
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052771