Since 1989, the U.S. Global Change Research Program (USGCRP) has submitted annual reports to Congress called Our Changing Planet. The reports describe the status of USGCRP research activities, provide progress updates, and document recent accomplishments
In particular, Our Changing Planet highlights progress and accomplishments in interagency activities. These highlights represent the broad spectrum of USGCRP activities that extend from Earth system observations, modeling, and fundamental research through synthesis and assessment, decision support, education, and public engagement.
Climate change presents new challenges for managing water quality and quantity, particularly in areas where water resources are already stressed. Resource managers need scientifically sound, usable information and training to deal with changing patterns of water extremes and other climate-related issues facing the water sector.
To help meet this need, USACE and DOI’s Bureau of Reclamation have developed a training series titled Assessing Natural
The Nation’s energy infrastructure is vulnerable to a range of climate impacts, particularly in areas prone to severe storms or water shortages. These impacts may be exacerbated or mitigated by other systemic factors, such as increasing energy demands, infrastructure interdependencies, and changes in technology, demographics, land use and land cover, and regional industries and economies. Although existing models can capture some of these factors, there is a growing need for modeling frameworks and tools that can explore their collective behaviors.
Apart from serving scientists studying global change, output from the Coupled Model Intercomparison Project (CMIP; see related Highlight 7) can be useful to decision makers confronting regional and local climate impacts. A number of USGCRP agencies have supported the “downscaling” of CMIP output to provide climate information on scales of space and time that are relevant to decisions facing resource managers and planners. Downscaled data permit a range of analyses, such as evaluation of uncertainty in