Difference between revisions of "Partnership Applications"

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''Back to'' '''[[Partnership]]'''
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''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
 
<br>
 
===Baron AMS (Type III Applications)===
 
  
:Application excerpt:
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==April 2024 Class ==
::"In this project, an outstanding team of scientists and engineers led by PI John McHenry—who has
 
pioneered operational-commercial air quality forecasting in the US (McHenry et al., 2004; McHenry and
 
Dabberdt, 2005)—will infuse NASA Earth-Sun System research results from the AURA and MODIS
 
platforms into an extant air quality forecast decision-support system (AQF-DSS). The AQF-DSS runs
 
operationally at Baron Advanced Meteorological Systems (BAMS) high-performance computing facility, colocated
 
with the National Climatic Data Center (NCDC) in Asheville, NC. The core modeling system
 
includes MM5 (with WRF coming online), SMOKE, CMAQ, and MAQSIP-RT."
 
:Website:
 
::http://www.baronams.com/projects/nasa/esip (not yet active)
 
:Full Application:
 
::[[media:BaronAMS_ESIP_Partnership_Application.pdf|Baron AMS Partnership Application]]
 
  
===Global Systems Science (GSS)(Type III Applications)===
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===Earth Resources Technology - Type II===  
  
:Application excerpt:
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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."
 
:Website:
 
::http://lhs.Berkeley.edu/gss
 
:Full Application:
 
::[[media:ESIP_Partnership_App-GSS.pdf |GSS Partnership Application]]
 
  
===The HDF Group (Type II Research)===
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:Website: [https://www.ertcorp.com www.ertcorp.com]
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:Full Application: [https://drive.google.com/file/d/1jkyOGCQylYOLf2PctuDtAjTzujpchFww/view?usp=sharing]
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:Supplemental Material: [https://docs.google.com/document/d/1KgjdEXEcfYj73idR3gOeNrPtIEmOUZcB/edit?usp=sharing&ouid=108507014531272273639&rtpof=true&sd=true]
  
:Application excerpt:
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:
::"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."
 
:Website:
 
::http://hdfgroup.org
 
:Full Application:
 
::[[media:Applications-from-the-HDF-Group.pdf|HDF Group Partnership Application]]
 
 
 
===NASA Earth Observations (NEO) (Type III Research)===
 
 
 
:Application excerpt:
 
::"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."
 
:Website:
 
::http://neo.sci.gsfc.nasa.gov/
 
:Full Application:
 
::[[media:NEO_ESIP_Partnership_Application1.pdf|NEO Partnership Application]]
 
 
 
===The Science Education Resource Center at Carleton College (SERC) (Type III Applications)===
 
 
 
:Application excerpt:
 
::"The Science Education Resource Center (SERC) works to improve undergraduate Science, Technology, Engineering, and Mathematics (STEM) education through projects that support educators. An office
 
Carleton College, our work is funded primarily through National Science Foundation grants. The office
 
special expertise in effective pedagogies, geoscience education, community organization, workshop leadership, digital libraries, website development and program and website evaluation."
 
:Website:
 
http://serc.carleton.edu/
 
:Full Application:
 
::[[media:SERC_ESIP_Partnership_Application.pdf|SERC Partnership Application]]
 
 
 
===Semantic Web for Earth and Environmental Terminology (SWEET) (Type III Applications)===
 
 
 
:Application excerpt:
 
::"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."
 
:Website:
 
::http://sweet.jpl.nasa.gov
 
:Full Application:
 
::[[media:ESIP_Partnership_Application_SWEET.pdf|SWEET Application]]
 

Latest revision as of 08:08, May 1, 2024

Back to Partnership -- The following applications have been posted for review by the Partnership Committee

April 2024 Class

Earth Resources Technology - Type II

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.

Website: www.ertcorp.com
Full Application: [1]
Supplemental Material: [2]