The National Climate Assessment (NCA), operated by the United States Global Change Research Program, is an effort to provide an assessment every four years on the latest information about climate change science and impacts. These assessments take into account the effects of climate change on the natural environment, agriculture, transportation, and many other sectors. By providing these assessments, government agencies and other entities can effectively prioritize climate science investments that will better assist communities across the country in planning for a more sustainable future.
NEMAC has worked with the Global Change Research Program and NOAA’s Technical Unit, which is supporting the overall NCA effort in producing the NCA report. NEMAC's assistance in developing the Global Change Information System spans creating online workspace and portal technology, geospatial processing and mapping, and web-based geographic information system (GIS) viewers. The products of this effort include the 2013 Assessment authorship portal, the 2015 Climate Indicators workspace, and a site that makes data and maps used in the 2013 report available to the public.
Developing a New Assessment Method
NEMAC worked directly with the State of North Carolina in developing a framework for applying national climate assessments at state, regional, and local levels. The goal was to ensure that a bottom-up, multi-sector, stakeholder-engaging approach was used during the assessment process.
The online workspaces and portals provide NCA members a mechanism to post, edit, and share data, reports, draft chapters, maps, and other information. The main National Climate Assessment authorship portal can support hundreds of users all working on different aspects of the Assessment.
NEMAC produced over 600 maps illustrating a wide range of observed and modeled climate variables. Data from these maps were fed into GIS viewers to provide an online interface with which NCA members can interact with climate variables and combine them with other variables and additional spatial data.