In this video, NOAA's Deke Arndt, Chief of the Climate Monitoring Branch at the National Climatic Data Center, recaps the temperature and precipitation data for the continental US in summer 2012. It describes how these conditions have led to drought and reduced crop yields.
This graphic contains ocean heat content (OHC) anomaly trends from 1945 to 2009 for the top 700 meters of the ocean. It is composed of long-term datasets from seven different references. The graphic can be manipulated and downloaded as a picture.
This graphic represents the decline in Arctic sea ice extent from the 1950's to 2010 during the month of September. The image has three graphed and superimposed datasets, demonstrating the overall decline in Arctic sea ice extent over a 60-year time scale.
This is a graphic that illustrates anomalies in tropospheric temperatures over a 50-year time period and is based on 7 different datasets superimposed on each other. It is one of 9 climate indicators documented in the AMS State of the Climate report.
This short video describes the Hestia project - a software tool and data model that provide visualizations of localized CO2 emissions from residential, commercial, and vehicle levels, as well as day versus night comparisons, in the city of Indianapolis.
In this video, a spokesperson for the National Climactic Data Center describes the methods of using satellites (originally designed for observing changes in the weather) to study changes in climate from decade to decade. The video clearly illustrates the value of satellite data and begins to address connections between weather and climate.
In this lesson, students examine and interpret varied observational datasets and are asked to determine whether the data supports or does not support the statement: climate change is occurring in Colorado.
In this activity, students review techniques used by scientists, as they analyze a 50-year temperature time series dataset. The exercise helps students understand that data typically has considerable variability from year to year and to predict trends or forecast the future, there is value in long-term data collection.