TITLE:
Collecting Statistical Methods for the Analysis of Climate Data as Service for Adaptation Projects
AUTHORS:
Barbara Hennemuth, Steffen Bender, Katharina Bülow, Norman Dreier, Peter Hoffmann, Elke Keup-Thiel, Christoph Mudersbach
KEYWORDS:
Statistical Methods, Collection, Climate Data, Climate Adaptation
JOURNAL NAME:
American Journal of Climate Change,
Vol.4 No.1,
March
3,
2015
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.