Collecting Statistical Methods for the Analysis of Climate Data as Service for Adaptation Projects

Barbara Hennemuth^1*, Steffen Bender¹, Katharina Bülow¹, Norman Dreier², Peter Hoffmann³, Elke Keup-Thiel¹, Christoph Mudersbach⁴

¹Climate Service Center 2.0, Helmholtz-Zentrum Geesthacht, Hamburg, Germany.
²Hamburg University of Technology, Institute of River and Coastal Engineering, Hamburg, Germany.
³German Meteorological Service, Hamburg, Germany.
⁴Bochum University of Applied Sciences, Institut für Wasser und Umwelt, Bochum, Germany.

DOI: 10.4236/ajcc.2015.41002                

Abstract

The development of adaptation measures to climate change relies on data from climate models or impact models. In order to analyze these large data sets or an ensemble of these data sets, the use of statistical methods is required. In this paper, the methodological approach to collecting, structuring and publishing the methods, which have been used or developed by former or present adaptation initiatives, is described. The intention is to communicate achieved knowledge and thus support future users. A key component is the participation of users in the development process. Main elements of the approach are standardized, template-based descriptions of the methods including the specific applications, references, and method assessment. All contributions have been quality checked, sorted, and placed in a larger context. The result is a report on statistical methods which is freely available as printed or online version. Examples of how to use the methods are presented in this paper and are also included in the brochure.

Keywords

Statistical Methods, Collection, Climate Data, Climate Adaptation

Conflicts of Interest

The authors declare no conflicts of interest.

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