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.

The observational campaign in the Amazon Basin measures key environmental variables, including light and temperature, that drive biogenic emissions of volatile organic compounds from the canopy. (Source: NASA/JPL-Caltech)

In addition to being hotbeds of biodiversity, tropical forests are important to Earth’s water, energy, and carbon cycles—but they are increasingly impacted by climate change and human activities. Atmospheric chemistry in the once-pristine Amazon Basin, for example, is rapidly changing with deforestation, biomass burning, and pollution related to development in the region.

Like other forests, tropical forests naturally generate and emit volatile organic compounds that can react with other elements to form aerosols, or fine particles suspended in the

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This graph shows the number of days by which the start of spring in each year differs from the average start of spring during the 20th century. The spring of 2012 (circled) set a record for earliest start. (Source: Adapted from the USGCRP indicators pilot

In 2012, spring came earlier for the contiguous United States than in any year since 1900, according to recent research by a team of scientists with the USA National Phenology Network (USA-NPN). This research used the USA-NPN suite of “spring indices”—or algorithms based on the accumulated warmth needed to initiate growth in temperature-sensitive plants, which are validated by nationwide historical

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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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Citizen science refers to the engagement of non-professional volunteers in scientific investigations—asking questions, collecting data, or interpreting results. This approach can be especially useful in tracking environmental changes. (Source: NPS)

Citizen science—or the engagement of volunteers in scientific investigations—is a fast-growing field. By collecting data on natural phenomena such as the timing of bird migrations and plant flowering—sometimes from their own backyard—citizen scientists provide essential baseline information about key environmental indicators, in addition to strengthening their own awareness of and connection to their local environment. Citizen science has long been an important component of scientific endeavors and public engagement at USGCRP agencies such as DOI (particularly NPS and

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Philanthropic organizations can play a pivotal role in how communities strategize around education, housing, transportation, public health, and other social issues that link to the environment. These organizations are in a unique position to build synergy between Federal, local, and private efforts to improve climate literacy and help communities minimize and prepare for the consequences of climate change. As part of an ongoing tri-agency collaboration, program managers from NSF, NOAA, and NASA have been acting as government liaisons in bi-monthly meetings

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This map shows projected changes in the annual frequency of tropical cyclone formation, averaged from the output of seven models, under the combined conditions of 1) a 2°C increase in sea surface temperatures, and 2) a doubling of atmospheric carbon dioxi

Tropical cyclones (hurricanes and typhoons) generate serious costs to human life, property, and the economy. Understanding how the behavior of tropical cyclones may change in a warmer climate is important for long-range coastal planning and infrastructure investments to minimize impacts. To help address this prediction challenge, NASA, NOAA, NSF, and DOE have cosponsored a Hurricane Working Group (HWG), organized through the interagency

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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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Sea ice in the Arctic fluctuates from year to year, but the annual minimum extent (measured each year in September) has decreased overall since measurements began in the late 1970s. Changes in sea ice have implications both for the environment and for hum

Although the volume and surface extent of Arctic sea ice varies between seasons and years, observations show a long-term down-ward trend over the last three decades. Variability in Arctic sea ice is an important indicator of global climate change, and also has implications for increasing human activity in the Arctic. In an effort to improve forecasts of Arctic sea ice on seasonal to interannual time scales, the Sea Ice Prediction Network (SIPN) was recently created with support from several USGCRP

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Highlights

Natural and Human Emissions in the Tropical Canopy

The Record-Setting Early Spring of 2012

Building Synergy in the U.S. Modeling Community

Crowdsourcing Climate: Citizen Science and the National Climate Assessment

Engaging the Philanthropic Sector to Meet Climate Challenges

Tropical Cyclones in a Warmer World

Seasonal Prediction Systems: From Research to Operations

Predicting Changes in Arctic Sea Ice