New NASA Prediction Of Worldwide Energy Resources (POWER) Tutorials

NASA's Prediction Of Worldwide Energy Resources (POWER) Project's mission is to improve learning, decisions, and outcomes in the renewable energy, sustainable infrastructure, and agroclimatology user communities. The project provides easily accessible, customized, and trusted NASA solar and meteorological data for past, current, and future climates for any location in the world. POWER improves the public and private capability for integrating these NASA Earth observations and model data into their workflows through a diverse suite of tools and services. The project provides free access to its Analysis Ready Data (ARD) via POWER's Application Programming Interface (API), Data Access Viewer (DAV), geospatial services, and cloud-enabled data store.

In a new NASA Earthdata video tutorial playlist, learn how to use NASA POWER tools and services to explore solar and meteorological datasets that support the renewable energy, sustainable building, and agroclimatology user communities.

POWER Data Access Viewer Enhanced (DAVe) Walkthrough

POWER's DAVe is a web-mapping application with a user-friendly interface that provides enhanced capabilities to access and use NASA Earth observation and global model data supporting renewable energy, sustainable infrastructure, and agroclimatology communities. DAVe allows users to select community-specific parameters, units, time periods, and output formats to efficiently retrieve data from the POWER Data Archive.

DAVe:

• Enables users to subset POWER's global data offerings into user-specified regional or single-point areas
• Provides users with the ability to visualize their selected data and parameters on an interactive, time-enabled web map before downloading
• Enables users to produce charts and graphs for key data parameters such as ASHRAE(R)-based building thermal zones, monthly heatmaps, data anomalies, and annual cycles
• Enables users to create reports for their area of interest, such as a climatic design conditions report that provides a standardized series of parameters to assist in building design by providing information about relevant heating and cooling system sizing and implementation

View DAVe Tutorial

Access DAVe

POWER API Walkthrough

The POWER API delivers ARD as inputs to decision support tools, modeling, forecasting packages, and scientific research. Users can submit a data request and a RESTful response will be returned in a web-compliant JSON standard. The API also enables the direct integration of POWER data into external applications.

View POWER API Walkthrough Tutorial

Access POWER API

POWER Geospatial Services Walkthrough

POWER's geospatial services allow users to visualize and explore POWER data and enable these data to interact with GIS applications and tools. Specifically, ArcGIS Image Services provide a flexible and scalable way to store, process, analyze, and share data imagery. These services leverage a powerful server backend to perform required processing on-the-fly.

View Geospatial Services Walkthrough

Access POWER Geospatial Services

POWER on the Amazon Web Services (AWS) Cloud

Data available through POWER are archived on the AWS Cloud—allowing users to directly access POWER's entire ~8.5TB Analysis-Ready, Cloud Optimized (ARCO) catalog. POWER AWS services are near real-time (NRT, 3 to 6 days depending upon the parameter), with data provided as soon as they are available from the project's data providers.

View AWS Cloud Tutorial

Access POWER data in the AWS Cloud

Python Notebooks Knowledgebase Walkthrough

POWER maintains a repository of trainings, tutorials, and notebooks that have been made available to the POWER community via website posting, publications, conferences, and workshops. The notebooks provide step-by-step instructions on how to use POWER's data services and tools, teach users how to interact with the POWER API without the need for additional software, demonstrate how to integrate POWER services into external applications, and how to use Python to perform parameter analysis by creating tables and plots.

View Python Notebooks Knowledgebase Tutorial

Access Jupyter Notebooks Knowledgebase

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NASA's POWER project