2022 Proceedings
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, GIS Coordinator, UCAR
, Coastal Hazards Oceanographer, NOAA
, GIS Analyst & Commutations Lead, The NASA Prediction Of Worldwide Energy Resources (POWER) Project
This presentation will provide information about POWER’s suite of tools that enhance decision-making for renewable energy and sustainable infrastructure projects worldwide. To improve decisions in high-value sectors at any location in the world, the NASA Prediction Of Worldwide Energy Resources (POWER) provides freely available, easily accessible, customized, and trusted solar and meteorological data for both current and future climates. POWER provides over 300 parameters, derived from NASA Earth Observing (EO) data, that support community research in three focus areas: 1) renewable energy development, 2) building energy efficiency, and 3) agroclimatology applications. POWER helps communities to be resilient amid observed climate variability through the easy access of data products via several access methods and tools. This presentation will inform users about POWER’s ArcGIS Image Services, Data Access Viewer enhanced (created via Esri's Calcite Design System), and Application Programming Interface. Additionally, POWER’s entire data product catalog available through Amazon Web Services (AWS) Open Data Registry (ODR) via a free and publicly accessible Simple Storage Service (S3).
EPA health studies have shown a significant association between exposure to ambient air pollution and health risks. Health effects may include cardiovascular and respiratory effects. Although there are many toxins that have adverse impacts on health, pollutants, the strongest evidence for public health concern include particulate matter (PM), ozone (O3), and nitrogen dioxide (NO2). Long-term (2005-2018) high-resolution (12km x 12km) air quality products relevant for societal applications, were created at the National Center for Atmospheric Research (NCAR) at the daily scale for the continental US. This volume of information can be challenging to work with for Public Health professionals. Using Esri's Dashboards, we created an air quality dashboard that maps and communicates the historical modeled air quality data aggregated at the state and county level for each year. Maps of air quality variables can be visualized along with statistics about air quality exceedances for the selected county. Workflows to process the netCDF model output to different spatial and temporal resolutions will be discussed, as well as considerations taken while developing the dashboard.