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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, Arctic

Predicting Arctic sea ice change

The figure shows long-term averages of Arctic summer sea ice concentration simulated by an adaptation of CICE/Icepack

Interagency collaboration supports predictions of Arctic sea cover used by the U.S. Navy and other operational and research organizations.

Summer sea ice cover in the Arctic Ocean shrunk significantly since the early 1980s, with particularly rapid declines in recent years[1]. Arctic sea ice plays a key role in regulating weather and climate in and beyond the region[2], and projections of how sea ice cover will change in the coming years are critical for...

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Antarctica, Physical Climate, Modeling

Modeling ice sheet change in Antarctica

Ice sheet change in Antarctica

Modeling efforts provide new data on the effects of climate change in Antarctica.

Between 1998 and 2016, warming in Antarctica has been rapid and significant. Recent observations also reveal increases in snowfall in western Queen Maud Land, East Antarctica that are unprecedented over the past two millennia. To investigate these changes, a team of NSF-sponsored researchers and NASA scientists merged observation-based NSF-funded research with global modeling efforts that benefited from NASA satellite and airborne-based data[1]...

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Modeling

Studying Thunderstorms by Night

Studying Thunderstorms by Night

Over the Great Plains region of the United States, summertime thunderstorms often occur after sunset. Much of this nighttime rainfall is caused by large, organized storm systems and plays a critical role in the hydrology and agriculture of the region, especially over the more arid western Great Plains. During the summer months, these nighttime storm systems provide 30-70% of the region’s precipitation and can also cause severe weather, including flash floods, intense damaging winds, and large hail. Current weather and climate models have difficulty predicting the onset, location, frequency...

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Modeling

Improving Climate Predictability

As climate change increasingly impacts society and ecosystems, demand for reliable information about climate conditions now and in the future is growing. Climate research is conducted by two distinct communities, one working on climate forecasts for the near-term future and the other on climate-change projections over decades to centuries. Despite these different foci, the boundaries between these two communities increasingly overlap, and they share many common methods and challenges. Enhanced collaboration across modeling centers and communities can help create more valuable climate-...

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Modeling, Carbon Cycle, Arctic

Modeling Permafrost Response to Climate Change

Modeling Permafrost Response to Climate Change

Vast quantities of carbon—twice the size of the current amount in the atmosphere—are stored in frozen permafrost soils in Arctic regions. The Arctic climate is warming much more rapidly than the global average, leaving these carbon pools highly vulnerable to release into the atmosphere as carbon dioxide and methane as soils thaw and decompose, leading to a feedback cycle of further warming and increasing carbon release. The potential for these carbon stocks to increase global-warming rates, and the rapid changes already observed in the permafrost region, have captured the attention of...

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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

Modeling Thunderstorm Clouds for Better Regional Climate Predictions

The left panel shows an image of clouds over the United States captured by the weather satellite GOES-13 (20:45 UTC, July 29, 2010). The other two panels show model simulations of cloudiness for the same date and approximate time, first excluding (middle)

Thunderstorm clouds play an important role in regional atmospheric dynamics, modulating such factors as air pollution, acid deposition, and—critically for climate models—precipitation and the balance of heat throughout the atmosphere. To date, in part because of the computing power constraints associated with running models at high resolutions, it has proved challenging to model in detail the effects of thunderstorm clouds on the solar radiation that drives the climate system.

Recognizing this opportunity for improvement, scientists with EPA, NOAA, and

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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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