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Expanding NASA’s Surface meteorology and Solar Energy (SSE) Data Access and Analysis Capabilities GEO XII – AIP-8 Results 09 November 2015 Paul W. Stackhouse,

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Presentation on theme: "Expanding NASA’s Surface meteorology and Solar Energy (SSE) Data Access and Analysis Capabilities GEO XII – AIP-8 Results 09 November 2015 Paul W. Stackhouse,"— Presentation transcript:

1 Expanding NASA’s Surface meteorology and Solar Energy (SSE) Data Access and Analysis Capabilities GEO XII – AIP-8 Results 09 November 2015 Paul W. Stackhouse, Jr. – NASA LaRC Jason Barnett | Matt Tisdale |Brian Tisdale | Tyler Bristow | Jacob Benoit – Booz Allen Hamilton William Chandler| James Hoell - SSAI John Kusterer | Brandi Quam – ASDC LaRC 10/20/151

2 Agenda NASA Applied Sciences Program and POWER project at NASA LaRC SSE-GIS – Current Capabilities – Objectives and Collaboration – Enhancements and Technology Roadmap Technical Lessons Learned and Future Plans Questions 2

3 NASA Applied Science Societal Benefit Areas 3 Disaster Management Public Health Climate Water Resources Weather Ecosystems Agriculture Air Quality Applied Sciences aligns with GEOSS Societal Benefit Areas, with a focus on those areas where: NASA has capability and expertise NASA can have greatest impact Societal need is greatest Energy Projects in NASA Applied Science Prediction of Worldwide (Renewable) Energy Resource (POWER) Objective: Integrate improved environmental data, analysis and modeling for enhanced management of energy production and energy efficiency systems. –Target datasets for Electric Power, Renewable Energy, Energy-Efficient Building Design and Biomass Crop Development Industries Goals: Through partnerships, derive/validate/provide parameters relevant to industry needs, link to decision support, and transition capabilities when possible. Website: http://power.larc.nasa.govhttp://power.larc.nasa.gov (http://eosweb.larc.nasa.gov/sse)

4 Surface Radiation Budget (SRB) 3-Hourly GMAO Data Assimilation Products 3-hourly Generate Daily Raw Files for SSE For each Grid Box per Parameter Generate & Store Daily Time Series (by Lat/Lon for Limited Parameters in ASCII) Generate & Store Climatological Averages (by Lat/Lon for Multiple Parameters in ASCII) Generate & Store Climatological Averages (by Parameter for the Globe in ASCII) 1. Daily Data 2. Location/Regional Data Subsets; 3. Interannual Variability; 4. On-The-Fly Parameters; 5. RETScreen 6. HOMER 7. Global Data Sets Workflow of New Project to Enhance SSE with GIS Functionality 4 Current Workflow Interfaces to Access Data Calculating & Storing Parameter SSE Data Inputs Raw Data Inputs Geographic Information System (GIS) OGC Services (ex. WMS, WCS, WFS, WPS) Analytics Visualization Optimized for Mobile Devices Geospatial Data Formats (ex. Shapefile, KML) New SSE-GIS Workflow

5 SSE GIS Objectives 1.Process and reformulate current data products to formats consistent with Esri and open source GIS tools and standards. 2.Develop Python and JavaScript based functions to improve functionality and analysis to produce “on-the-fly” data products 3.Update the current web sites to enable both web-based and mobile application displays 4.Interact with user communities to test formats and usage for optimization 5 (Surface meteorology and Solar Energy - SSE-GIS, ACCESS 36 Proposal 2014) Jerry Johnston Department of Interior (DOI) Office of the Chief Information Office Gregory J. Leng RETScreen International CanmetEnergy Natural Resources Canada Nate Blair & Donna Heimiller National Renewable Energy Laboratory (NREL) Jeffrey White Arid Land Research Center US Department of Agriculture Peter Lilienthal HOMER Energy John Kusterer Head, Atmospheric Science Data Center, NASA Langley Research Center Funding for this project is provided by NASA Earth Science under the Advancing Collaborative Connections for Earth System Science (ACCESS) program managed most recently by Kevin Murphy

6 Enhancing SSE Accessibility & Usability Capabilities High quality viewing (Desktop/Mobile) Data Extraction/Subsetting Swiping Between Layers Temporal Visualization and Color Ramps Pixel/Attribute Value Identification 6 Technologies Esri ArcGIS Server & Portal Raster Mosaics Raster Function Templates PostgreSQL & Drupal Content Management System Python v2.7.x and JavaScript GeoTiff, NetCDF, ASCII File Formats POWER SSE Web Mapping App Browser enabled GIS functionality Display parameters from global to small scale Add background maps Point for values Download data to support ASCII or GeoTIFF applications Scales to mobile devices Release Spring 2016

7 Adding GIS for Web Site Modernization and Mobile Devi ces End-users of NASA data products increasingly requesting geospatial tool compatibility LaRC ASDC is working to stand up “Web services” used to make the application platform and technology independent by following standards (i.e. DAP, WCS, WMS, etc.), promoting interoperability One of those is an ArcGIS Image Service => NASA’s license with Esri allows the agency to acquire access to Esri ArcGIS software at no additional cost to programs POWER/SSE now leading project, collaborating with ASDC, to add GIS capabilities and web services for access to data products. 7

8 POWER SSE Web Mapping App Capability Release Schedule 8 v1.0.1 beta – Released to Collaborators Global ASCII and GeoTIFF Download by Parameter Single Pixel Value Identification Parameter Opacity Slider Parameter Definitions, Units and Legend Mobile GPS and IP Locator Address Geocoding Locator Drawing and Measuring Tools v1.0.2 and 1.0.3 beta Planned Capabilities Data Tables for a Particular Location – Early November 2015 Regional Data Download – Late November 2015 Daily Time Series/Download – Early January 2015

9 POWER SSE Web Mapping Services 9 Data provided as Esri ArcGIS Image Services Users can consume the REST image service into their analytic software and/or custom applications and use the suite of JavaScript API tools to interact with the data temporally and/or spatially. Data also provided as Open Geospatial Consortium (OGC) compliant web mapping services

10 Technical Lessons Learned Web Mapping Services with 30+ years of daily averaged data for more than 200+ parameters required a robust server architecture. Additionally exploring the use of Cloud technology for both Amazon and OpenStack Running tests to determine if a collection of GeoTIF images or data managed within NetCDFs are most appropriate for analysis and speed. Commercial OTF GIS software interoperable with Open Source Database software. Utilizing Python and JavaScript has enabled our functions and services to be consumed/utilized more smoothly by the community. Sister project exploring GeoServer capabilities if ArcGIS ELA is terminated in the future. Utilizing Drupal Content Management System for the project’s front end and its capabilities to provide content, such as parameter definitions, as REST services, which ultimately will provide the parameters information required for our web mapping application, data processing and allow users to consume the service for their custom applications. 10

11 Questions? Contact power-project@lists.nasa.gov POWER http://power.larc.nasa.gov Surface meteorology and Solar Energy http://eosweb.larc.nasa.gov/sse 1120 October 2015

12 Back Up Slides 12

13 POWERNext Generation 13 Modernized and responsive based website interface easily accessible on desktop and mobile platforms that provides a central nexus for interoperability between available data applications and connects the data user to the plethora of long term averaged climatological and near real time daily time series datasets. Increasing the temporal (from 22 years to 30+ years) and spatial resolution (from 1x1 to ½ x ½ degrees) for 200+ data parameters New model datasets for both meteorology and solar data Exploring Cloud processing and analysis capabilities

14 Energy Projects in NASA Applied Science Prediction of Worldwide (Renewable) Energy Resource (POWER) Objective: Integrate improved environmental data, analysis and modeling for enhanced management of energy production and energy efficiency systems. –Target datasets for Electric Power, Renewable Energy, Energy-Efficient Building Design and Biomass Crop Development Industries Goals: Through partnerships, derive/validate/provide parameters relevant to industry needs, link to decision support, and transition capabilities when possible. Website: http://power.larc.nasa.govhttp://power.larc.nasa.gov (http:/eosweb.larc.nasa.gov/sse) 14

15 Summary and Conclusions NASA Applied Science program aims to develop pathways for NASA derived data sets to influence decision support in multiple societal benefit areas including energy related technologies POWER/SSE have delivered NASA data products to users in the renewable energy field for greater than 15 years Usage continues to grow, particularly for NRT time series data products Collaboration with multiple partners and industry societies Connecting directly to key Decision Support tools like RETScreen POWER/SSE data sets and web technology rapidly becoming outdated so: NASA is now funding a project to add GIS capability to SSE and support mobile device access Additional funding used to use these capabilities for CERES and GMAO data products Simultaneously, updating all data sets and all web capabilities With these efforts POWER/SSE will continue to expand dissemination of NASA research data products to Energy and Agricultural sectors by evolving with user capabilities to use more advanced tools. 15

16 ArcGIS Platform ArcGIS is the geography platform enabling users to: – Create – Organize – Share geographic information and tools – With anyone by using intelligent online maps and useful apps. These apps run virtually anywhere - on desktops, the web, smartphones, and tablets. 16

17 Current Data Retrieval From SSE NASA LaRC Research and Applied Science 17 Current limited graphical capability requires improvement to better serve customers

18 RETScreen ® International ~ 450,000 Global Users Decision Support System design and planning tool POWER/SSE Project Adaptation and validation of parameters Solar and meteorological parameters in specialized units NASA Earth-Sun Satellite Analysis and Modeling Projects: (ISCCP, GEWEX SRB, CERES FLASHFlux, GMAO GEOS) S urface Solar Irradiance (W m -2 ) Satellite observations, analysis and modeling (~15,000 unique users, ~ 1,200,000 hits and 230,000 data downloads per month) POWER/SSE Datasets and Web interface 200+ Parameters (most on-the-fly) Data Accessibility through Web Interface POWER Approach: Research to Decisions 18


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