Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1007/s00704-014-1359-9
Document Shareable Link
Title (Primary) Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil
Author Borges de Amorim, P.; Franke, J.; da Anunciação, Y.M.T.; Weiss, H. ORCID logo ; Bernhofer, C.
Source Titel Theoretical and Applied Climatology
Year 2016
Department GWS
Volume 123
Issue 1
Page From 335
Page To 348
Language englisch
UFZ wide themes RU2;
Abstract Available climatological information of Distrito Federal does not satisfy the requirements for detailed climate diagnosis, as they do not provide the necessary spatial resolution for water resources management purposes. Annual and seasonal climatology (1971–2000) of precipitation from 6 meteorological stations and 54 rain gauges from Central Brazil were used to test eight different spatial interpolation methods. Geographical factors (i.e., altitude, longitude and latitude) explain a large portion of precipitation in the region, and therefore, multivariate models were included. The performance of estimations was assessed through independent validation using mean square error, correlation coefficient and Nash–Sutcliffe efficiency criterion. Inverse distance weighting (IDW), ordinary kriging (OK) and the multivariate regression with interpolation of residuals by IDW (MRegIDW) and OK (MRegOK) have performed the lowest errors and the highest correlation and Nash–Sutcliffe efficiency criterion. In general, interpolation methods provide similar spatial distributions of rainfall wherever observation network is dense. However, the inclusion of geographical variables to the interpolation method should improve estimates in areas where the observation network density is low. Nevertheless, the assessment of uncertainties using a geostatistical method provides supplementary and qualitative information which should be considered when interpreting the spatial distribution of rainfall.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=15905
Borges de Amorim, P., Franke, J., da Anunciação, Y.M.T., Weiss, H., Bernhofer, C. (2016):
Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil
Theor. Appl. Climatol. 123 (1), 335 - 348 10.1007/s00704-014-1359-9