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Highlights

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.

Modeling

Observations to Improve Climate Models

The 2012–2021 Strategic Plan emphasizes the need for synergy between Earth observations and Earth system modeling—two cor- nerstones of global change research. Obs4MIPs (or Observations for Model Intercomparison Projects) is an emerging activity that uses observations to better support the Coupled Model Intercomparison Project (CMIP), an international effort under the

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Modeling

Building Synergy in the U.S. Modeling Community

The U.S. Climate Modeling Summit brought together representatives from the Nation’s major experimental and operational climate modeling programs. Above, Summit participants gather at the NOAA Center for Weather and Climate Prediction. (Source: NOAA)

Modeling Earth’s climate furthers priorities of national interest, from experimental research to understand the Earth system to operational forecasts and projections that inform decisions. Coordination among the Nation’s premier modeling centers—particularly between experimental and operational programs (see also Highlight 31)—has the potential to advance forecasting capabilities, yield more robust predictions, and bridge models of near-term weather and longer-term climate that currently are separated by high-uncertainty gaps in coverage.

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Modeling

Seasonal Prediction Systems: From Research to Operations

Warm colors on this map show where output from NOAA's GFDL-FLOR model correlates positively (yellow = strongest correlation) with seasonal observations of tropical cyclone activity, demonstrating the model's capacity for predicting such phenomena. (Source

Predicting climate on a seasonal basis can benefit decision makers in key sectors like energy, water resources, and agriculture, among others. A number of USGCRP agencies are working to improve the Nation’s seasonal forecasting capacity through major investments in innovative climate models that can bridge the needs of atmospheric research and operational forecasts. As one example, a new model developed by NOAA’s Geophysical Fluid Dynamics Laboratory, known as

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Observations, Modeling, Water Resources, Land Use & Land Cover, Agriculture & Food, Extreme Events

Mapping Fallowed Farmland During Drought

The greenness of croplands in January is shown relative to the 13-year average from NASA MODIS records. Satellite imagery can be a powerful tool for understanding the impacts of drought on agricultural lands. (Source: NIDIS Newsletter, April 2014)

The severe, sustained drought affecting the Central Valley of California has caused a shortage of water for irrigation and crop production. The effect of this shortage is most immediately evident as an increase in the extent of fallowed farmland (or land taken out of agricultural production), which in turn serves as a proxy for socioeconomic impacts. Decision makers can use information about fallowed land to better understand the severity of drought impacts and to support requests for USDA drought disaster designations or emergency proclamations. USDA

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Modeling

Data on Scales Needed by Resource Managers

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

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Oceans, Physical Climate, Modeling

Modeling Pollution to Understand Localized Climate Trends

Modeled (top panel) and observed (bottom two panels) changes in atmospheric aerosol loads between 1980 and 2000. A decrease over Europe and North Amer- ica (blue) and an increase over southeastern and eastern Asia (red)—evident in all three panels—contrib

Pollution from the combustion of fossil fuels and wood has contributed to climate change in complex ways, with some pollutants causing cooling and others causing warming, accompanied by effects on patterns of atmospheric circulation and precipitation. To better understand these complex relationships, the Atmospheric Chemistry Climate Model Intercomparison Project, part of the international 5th-phase Coupled Model Intercomparison Project (CMIP5), conducted a series of pollution-focused modeling experiments to reveal spatial patterns, sectoral influences,

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Observations, Modeling

DYNAMO: Linking Observations and Models to Predict Near-Term Climate

 The NASA GEOS5 model has made significant progress in simulating the MJO, demonstrated by how closely its output (right panel) visually resembles satellite observation data (left panel; in both panels, MJO events are represented as lines of green, red, a

Predicting climate conditions anywhere from two weeks to a season in advance is critical for making informed decisions and safeguarding infrastructure across various sectors of the U.S. economy, including water resources, energy supply, public safety, and agriculture, among many others.

USGCRP agencies are supporting improved climate forecasts on these relatively short timescales through field campaigns coupled with model development and analysis efforts. DOE, NASA, NOAA, NSF, and DOD’

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Observations, Modeling

Empowering the Nation with Climate Data

In March 2014, USGCRP helped support the launch of the Climate Data Initiative, a key component of the President’s Climate Action Plan. The Climate Data Initiative brings together open government data with commitments from the private and philanthropic sectors to develop data-driven tools that communities and businesses across America need to plan for the impacts of climate change.

With the launch of the Climate Data Initiative, data from USGCRP agencies—including NOAA, NASA, USGS, and DOD—and other Federal entities are

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Observations, Modeling

Supporting Global Change Research Through Satellite Missions: A Look Ahead

Preparing equipment for the Global Precipitation Measurement mission. (Source: NASA)

Overview
A series of Earth observation missions planned by NASA and partners for FY 2014 will contribute fundamentally to advancing our understanding of global change. Such missions are foundational to USGCRP research and are made possible by a sustained Program emphasis in instrumentation development. The planned FY 2014 missions are described below.

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Modeling

Understanding Future Climate by Looking Back in Time

Scientists examining an ice core used to reconstruct the evolution of Earth’s climate during the Eemian interglacial period, a useful analog for present-day and expected future conditions. (Source: NEEM)

Overview
A number of USGCRP agencies such as NSF, DOE, NOAA, NASA, USGS, and SI are investing in understanding the history of Earth’s climate, known as “paleoclimate.” Paleoclimate data extend records of climate

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