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

  • Hennemuth B
  • Bender S
  • Bülow K
  • et al.
N/ACitations
Citations of this article
39Readers
Mendeley users who have this article in their library.

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, struc-turing and publishing the methods, which have been used or developed by former or present ad-aptation 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 in-cluding 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.

Cite

CITATION STYLE

APA

Hennemuth, B., Bender, S., Bülow, K., Dreier, N., Hoffmann, P., Keup-Thiel, E., & Mudersbach, C. (2015). Collecting Statistical Methods for the Analysis of Climate Data as Service for Adaptation Projects. American Journal of Climate Change, 04(01), 9–21. https://doi.org/10.4236/ajcc.2015.41002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free