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| − | ''Back to'' '''[[Partnership]]''' | + | ''Back to'' '''[[Partnership]]''' -- The following applications have been posted for review by the Partnership Committee <br> |
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| − | The following six applications are open for review. Please send comments to tpy@jpl.nasa.gov or carol.meyer@earthsciencefoundation.org | |
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| − | ===Baron AMS (Type III Research)===
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| − | :Application excerpt:
| + | ==April 2024 Class == |
| − | ::"In this project, an outstanding team of scientists and engineers led by PI John McHenry—who has
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| − | pioneered operational-commercial air quality forecasting in the US (McHenry et al., 2004; McHenry and
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| − | Dabberdt, 2005)—will infuse NASA Earth-Sun System research results from the AURA and MODIS
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| − | platforms into an extant air quality forecast decision-support system (AQF-DSS). The AQF-DSS runs
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| − | operationally at Baron Advanced Meteorological Systems (BAMS) high-performance computing facility, colocated
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| − | with the National Climatic Data Center (NCDC) in Asheville, NC. The core modeling system
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| − | includes MM5 (with WRF coming online), SMOKE, CMAQ, and MAQSIP-RT."
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| − | :Website:
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| − | ::http://www.baronams.com/projects/nasa/esip (not yet active)
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| − | :Full Application:
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| − | ::[[media:BaronAMS_ESIP_Partnership_Application.pdf|Baron AMS Partnership Application]]
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| − | ===Global Systems Science (GSS)(Type III Research)=== | + | ===Earth Resources Technology - Type II=== |
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| − | :Application excerpt:
| + | Earth Resources Technology, Inc. integrates full-spectrum, data-driven science and technology solutions to solve high-profile and demanding Federal Earth and Space mission priorities -enabling government agencies and the industry to make critical climate decisions that contribute to preserving lives and property and sustaining economies and ecosystems. We are at the forefront of the entire environmental data lifecycle, from collection, to ingest, processing and analysis, modeling, archive and dissemination, and decision support. Primary capabilities are in Satellite Ground Segment Engineering, Scientific Data Modeling, Data Analytics and Application of AI/ML to Scientific Problems, Scientific Software Development, and Enterprise and Cloud Computing. |
| − | ::"Global Systems Science (GSS) is an integrated science program for the first year of high school on the topic of global environmental change. The course emphasizes how scientists from a wide variety of fields work together to understand problems of global impact. The “big ideas” of science are stressed, such as the concept of an interacting system, the co-evolution of the atmosphere and life, the goal of a sustainable world, and the important role that individuals play in both impacting and protecting our global environment."
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| − | :Website:
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| − | ::http://lhs.Berkeley.edu/gss
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| − | :Full Application:
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| − | ::[[media:ESIP_Partnership_App-GSS.pdf |GSS Partnership Application]]
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| − | ===The HDF Group (Type II Research)=== | + | :Website: [https://www.ertcorp.com www.ertcorp.com] |
| | + | :Full Application: [https://drive.google.com/file/d/1jkyOGCQylYOLf2PctuDtAjTzujpchFww/view?usp=sharing] |
| | + | :Supplemental Material: [https://docs.google.com/document/d/1KgjdEXEcfYj73idR3gOeNrPtIEmOUZcB/edit?usp=sharing&ouid=108507014531272273639&rtpof=true&sd=true] |
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| − | :Application excerpt: | + | : |
| − | ::"The HDF Group (THG) is a not-for-profit “spin-off” company from the National Center for Supercomputing Applications (NCSA) at the University of Illinois, Urbana-Champaign. The THG staff are the same group that created the “Hierarchical Data Format” or HDF, in 1988. Two HDF formats exist, and both are among the premier scientific data formats in the world, and serve as the standard for many large projects and organizations."
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| − | :Website:
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| − | ::http://hdfgroup.org
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| − | :Full Application:
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| − | ::[[media:Applications-from-the-HDF-Group.pdf|HDF Group Partnership Application]]
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| − | | |
| − | ===NASA Earth Observations (NEO) (Type III Research)===
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| − | :Application excerpt:
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| − | ::"NASA Earth Observations (NEO) dramatically simplifies public access to georeferenced imagery of NASA remote sensing data. NEO targets the unsophisticated, non-traditional data users who are currently underserved by the existing data ordering systems. These users include formal and informal educators, museum and science center personnel, professional communicators, and citizen scientists and amateur Earth observers."
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| − | :Website:
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| − | ::http://neo.sci.gsfc.nasa.gov/
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| − | :Full Application:
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| − | ::[[media:NEO_ESIP_Partnership_Application1.pdf|NEO Partnership Application]]
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| − | | |
| − | ===Southeastern University Research Association (SURA) Coastal Ocean Observing and Prediction (SCOOP) (Type II Research)===
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| − | :Application excerpt:
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| − | ::"The Southeastern University Research Association (SURA) is leading an initiative called the SURA Coastal Ocean Observing and Prediction (SCOOP) program. This multi-institution collaboration, funded by ONR and NOAA, brings together a diverse group of scientists with expertise in coastal and computer sciences. The SURA Coastal & IT Committees are leveraging SURA strengths in coastal and computer-science research, and SURA experience with IT infrastructure projects (SURAnet, NLR, etc). The SCOOP vision is to provide a community infrastructure that will advance the science of environmental prediction and hazard planning for our nation’s coasts. The system involves a service-oriented architecture for predicting and visualizing coastal response to extreme atmospheric events, including the damaging and catastrophic effects of storm surge, inundation, and wind waves. "
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| − | :Website:
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| − | ::http://www.OpenIOOS.org
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| − | :Full Application:
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| − | ::[[media:ESIP_Partnership_Application_SURA.pdf|SCOOP Application]]
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| − | ===Semantic Web for Earth and Environmental Terminology (SWEET) (Type III Applications)===
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| − | :Application excerpt:
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| − | ::"We provide knowledge management support for Earth system science data. We encourage the use of machine-readable metadata, which will support automated search, acquisition, and utilization of data. We are an information service provider. Data providers can associate rich metadata descriptions to their data products by pointing (via XML tags) to concepts in the SWEET ontologies (where they are defined). This annotation supports semantic interoperability."
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| − | :Website:
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| − | ::http://sweet.jpl.nasa.gov
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| − | :Full Application:
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| − | ::[[media:ESIP_Partnership_Application_SWEET.pdf|SWEET Application]]
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| − | ===Center for Research on Environment and Water (CREW) (Type III Applications)===
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| − | :Application excerpt:
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| − | ::"CREW's mission is to quantify and predict water cycle and environmental consequences of earth system variability and change through focused research investments in observation, modeling, and application.
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| − | ::CREW aims to quantify and predict the energy sources and sinks that feed baroclinic weather systems, the general circulation of the atmosphere, global water transport, rainfall, and the renewal of fresh water resources.
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| − | ::The Center: CREW integrates research across traditional disciplines in an end-to-end program that transitions theoretical research to academic/public education and real-world application, through partnerships with universities, government, and international agencies. The center goal of improved and applicable predictions of the water and energy cycles will require decisive progression from observations to improved understanding and modeling, and eventually to better prediction and application. The center can not possibly hope to achieve this objective alone, but rather conducts focused activities aimed at improving existing partner capabilities."
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| − | :Website:
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| − | ::http://crew.iges.org/
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| − | :Full Application:
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| − | ::[[media:ESIP_Partnership_Application_CREW.pdf|CREW Application]]
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