This page contains information about the proposed levels and elements of translational information related to the Climate Indices pilot project.
Translational information: One of the goals of NCPP is to provide information to help translate the results of the scientific investigation of climate into usable knowledge for practitioners. Recognizing that there are similarities between many problems faced by practitioners, we are developing templates to structure this translational information. We are using sample problems to develop the initial version of these templates. What is described below is an initial template for translational information being developed by our Climate Indices Pilot.
To facilitate the usage of climate information in applications we are developing two types of information: "metadata" and "translational information." Metadata includes a listing of the basic attributes of each data product.
In developing translational information, we strive to link expert guidance and understanding of modeling processes and evaluation of modeling with the use of numerical climate data. Translational information thus is a suite of information that aids in translation of numerical climate information into usable knowledge for applications, e.g. ecological response models, hydrologic risk studies. This includes technical and scientific aspects including (but not limited to):
Climate Indices use case: This use case will develop translational information for the historical distribution of temperatures above 100oF on a grid point basis within the domain of the North Central Climate Science Center (NC CSC, see NC CSC Joint pilot) for a period of one year.
Translational information template:The steps required to develop translational information content are illustrated below. Tailoring translational information for a particular use case is essential for providing usable knowledge. The first three elements, index, aggregation and period, start with the attributes of the dataset. The user, however, is immediately faced with decisions, for example, what is the impact of using shorter or longer periods for the calculation of the index. Therefore, to analyze this decision the dataset must span enough time. The next element, the choice of observed dataset requires analysis of the attributes of the dataset in concert with the particulars of the problem being addressed. This exposes the advantages and the limitations and helps determine whether the choice of the dataset is acceptable. The observed climatic behaviour relevant to the users' needs is then provided in the summary narrative.
The diagram below shows elements of analysis (dark blue ovals) listed in sequence vertically and possible user choices related to these elements (light blue rectangles) listed in sequence horizontally.
The content envisioned in the Summary narrative, the last element of the above diagram, is described below. The narrative has elements describing three main areas of interest as determined from discussions with practitioners:
a) Past changes - what has happened historically within my area of interest?;
b) Future changes - what will happen in the future?;
c) Impacts - how will this affect me? - This element includes examples or preliminary information for users intended to inform subsequent detailed risk analysis or impacts assessment.
The diagram below contains the main elements of the summary narrative presented in ovals and related details and questions, listed to the right of each element.
Using our experience and other use cases we will identify steps which are common to many problems as well as the type of information that is unique to problems. Our goal is to ease the gathering of information in future problems, promote the evolution of standards for use of climate information, and accelerate the use of climate information.