Comparison of interpolation performance for different climate variables in North Germany

Download statistics - Document (COUNTER):

Berndt, C.; Haberlandt, U.: Comparison of interpolation performance for different climate variables in North Germany. In: IAHS Scientific Assembly 2017, IAHS2017-97

Repository version

To cite the version in the repository, please use this identifier:

Selected time period:


Sum total of downloads: 15

Many fields of hydrology, water resources management and environmental sciences require climate information with various temporal resolutions for the modelling of different processes. These data are usually recorded as site-specific point information by weather stations, however many applications need areal information. Spatial interpolation techniques are a reliable approach in order to estimate climate information for a specific location from adjacent measurements. However, the interpolation performance depends strongly on station network configuration, temporal resolution and the variable itself. This work aims at evaluating the influence of several factors on the interpolation performance using various geostatistical and non-geostatistical techniques and comparing the interpolation performance among different climate variables. A cross validation analysis of interpolation performance was carried out for meteorological observations of precipitation, temperature, sunshine duration, cloud coverage, relative humidity and wind speed over a period of six years (2008-2013). Temporal resolutions from 1 hour to 1 year as well as network configurations with different station densities were considered. Depending on each variable, various interpolation techniques taken into account and several secondary variables were tested regarding their potential to improve the estimation. The interpolation of rainfall, for instance, was performed using Nearest Neighbour, Inverse-Distance Weighting, Ordinary Kriging, Kriging with External Drift as well as Conditional Merging, while elevation and quantitative rainfall estimates from weather radar were used as additional information. The cross validation experiments and station density scenarios were designed in a way that a comparison of interpolation performance among all climate variables is possible. Moreover, different realisations were used for each station density in order to assess the influence of observation locations. The results show that geostatistical techniques are able to provide a better interpolation performance compared to simple deterministic methods. However, no interpolation technique that works best for all climate variables was found. Temporal resolution as well as the actual spatial variability of the regarded variable seem to have high impact on the interpolation performance, while the network density appears to be of minor importance. The influence of station locations varies from variable to variable. In particular, a strong impact of the station selection was observed for wind speed. Hourly precipitation shows generally the highest spatial variability and thus the worst interpolation performance is obtained. In general, the spatial variability decreases and interpolation performance improves with decreasing temporal resolution for all variables except wind speed. The best interpolation performance is achieved for relative humidity and temperature.
License of this version: CC BY 3.0
Document Type: conferenceObject
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 13 86.67%
2 image of flag of Brazil Brazil 2 13.33%

Further download figures and rankings:


Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository