Interpreting Global, Half-hourly Cloud Observations to Promote Weather and Climate Literacy
AMNH will use NOAA weather satellite data to annotate 72 high definition (HD) video time-series global cloud cover visualizations using thermal infrared brightness temperature data acquired by five geostationary satellites and joined into global mosaics at half-hourly intervals. The HD visualizations will be used in informal and formal education activities and will be made available on the Web. These media pieces will be used for informal education activities at AMNH and 28 other informal science institutions (ISI) around the United States . The target population of visitors to subscribing ISIs is currently ten million and is projected to be over 15 million by the end of the grant. The HD visualizations will be used in formal settings, as well. Fifteen schools throughout New York City with large numbers of new English Language Learners will be targeted and professional development for teachers of ELL students will be provided through programs at AMNH as well. AMNH's effort focuses on weather and climate patterns that will be visible in the cloud-data visualizations. All viewers of the media will learn about general circulation patterns and changes in phase of water associated with the hydrologic cycle.
Exploring Earth Systems: Expanding Data Visualization Experiences for Museum Learners
The American Museum of Natural History, in association with several NOAA entities, will be creating a suite of media products employing visualization of Earth-observation data as well as associated professional development programs to expand educational experiences in informal science institutions nationwide. Interactive versions of the visualizations will also be disseminated via the AMNH website. Visualization assets will be distributed to NOAA for utilization on climate.gov and Science on a Sphere. The creation of training programs and educational materials for informal education professionals will enhance the experience and efficacy of the data visualizations as tools to understand and build stewardship of Earth systems.