NASA Prediction of Worldwide Energy Resources (POWER)

Description

NASA's goal in Earth science is to observe, understand, and model the Earth system to discover how it is changing, to better predict change, and to understand the consequences for life on Earth. The Applied Sciences Program, within the Earth Science Division of the NASA Science Mission Directorate, serves individuals and organizations around the globe by expanding and accelerating societal and economic benefits derived from Earth science, information, and technology research and development.

The Prediction Of Worldwide Energy Resources (POWER) Project, funded through the Applied Sciences Program at NASA Langley Research Center, gathers NASA Earth observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in energy development, building energy efficiency, and supporting agriculture projects.

The POWER project contains over 380 satellite-derived meteorology and solar energy Analysis Ready Data (ARD) at four temporal levels: hourly, daily, monthly, and climatology. The POWER data archive provides data at the native resolution of the source products. The data is updated nightly to maintain near real time availability (2-3 days for meteorological parameters and 5-7 days for solar). The POWER services catalog consists of a series of RESTful Application Programming Interfaces, geospatial enabled image services, and web mapping Data Access Viewer. These three service offerings support data discovery, access, and distribution to the project’s user base as ARD and as direct application inputs to decision support tools.

The latest data version update includes hourly-based source ARD, in addition to enhanced daily, monthly, annual, and climatology data. The daily time series for meteorology is available from 1981, while solar-based parameters start in 1984. The hourly source data are from Clouds and the Earth's Radiant Energy System (CERES) and Global Modeling and Assimilation Office (GMAO), spanning from 1984 for meteorology and from 2001 for solar-based parameters. The hourly data equips users with the ARD needed to model building system energy performance, providing information directly amenable to decision support tools introducing the industry standard EnergyPlus Weather file format.

Update Frequency

Near Real Time (NRT); as soon as source data becomes available from our source data providers.

• Meteorological: ~2-3 days
  
• Solar ~5-7 days
  
  For more information see the NASA POWER Availability Dashboards

License

There are no restrictions on the use, access, and/or download of data from the NASA POWER Project. We request that you cite the NASA POWER Project when using the data provided from NASA POWER Project.

Creative Commons BY 4.0

Documentation

https://power.larc.nasa.gov/docs/

Managed By

See all datasets managed by NASA.

Contact

larc-power-project@mail.nasa.gov

How to Cite

NASA Prediction of Worldwide Energy Resources (POWER) was accessed on DATE from https://registry.opendata.aws/nasa-power.

Usage Examples

Tutorials

• About the Prediction Of Worldwide Energy Resources (POWER) Project ArcGIS StoryMap. by The POWER Project
  
• Accessing and Subsetting POWER data, from AWS S3 using Python. by The POWER Project
  

Tools & Applications

• NASA POWER NetCDF Data Download by The POWER Project
  
• POWER Application Programming Interface (API) by The POWER Project
  
• POWER Data Access Viewer (DAV) by The POWER Project
  

Publications

• A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
  
• Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
  
• Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
  
• Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
  
• CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
  
• Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
  
• Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
  
• Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
  
• Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
  
• Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
  
• NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
  
• The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini
  
• Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors