Difference between revisions of "Partnership Applications"

From Earth Science Information Partners (ESIP)
(One intermediate revision by the same user not shown)
Line 1: Line 1:
 
''Back to'' '''[[Partnership]]''' -- The following applications have been posted for review by the Partnership Committee  <br>
 
''Back to'' '''[[Partnership]]''' -- The following applications have been posted for review by the Partnership Committee  <br>
  
==Summer 2020 Class ==  
+
==Fall 2020 Class ==  
  
===American Meteorological Society - ESIP-V ===  
+
===Airborne Snow Observatories - ESIP-III ===  
The American Meteorological Society is dedicated to advancing the atmospheric and related sciences, technologies,
+
Building on a 7-year legacy with the NASA Jet Propulsion Laboratory, Airborne Snow Observatories Inc. provides
applications, and services for the benefit of society.
+
basin-scale inventories of mountain snow water resources using industry-leading airborne remote sensing
 +
techniques and modeling. ASO collaborates with many academic research organizations, including NCAR, and
 +
distributes data to academics for research purposes.
  
:Website: https://www.ametsoc.org
+
:Website: https://www.airbornesnowobservatories.com/
:Full Application: [https://drive.google.com/file/d/1v32iU95S7-ThUMvI5lap41yFWQv_GGw6/view?usp=sharing]
+
:Full Application: [https://drive.google.com/file/d/1qc7plGReKuPLOFlIMJMt8kDY2AeX1xeg/view?usp=sharing]
  
===Climate Literacy and Energy Awareness Network (CLEAN) - ESIP-V ===  
+
===Scenarios Network for Alaska and Arctic Planning (SNAP) - ESIP-II ===  
CLEAN is an award-winning resource collection, a teaching support community, and a network of professionals
+
Since 2007, SNAP has used climate data to create and share ideas of what a future Northern climate
committed to improving climate and energy literacy. Its three key components include: the CLEAN Collection of 700+
+
could look like. Because climate projections can be misleading and potentially misused, interpretation that recognizes uncertainty is needed. We work with climate data every day and know how to display a specific trend or pattern in the most unbiased manner. SNAP scenarios are not forecasts based on probabilities. Instead,
free, peer-reviewed, NGSS-aligned, and ready-to-use educational resources for teaching about climate and energy
+
they use data to ask "What if ...?" and consider multiple divergent, challenging, and possible future
from grades 6-16; the CLEAN Educators Toolbox with thematic newsletters, background information, and teaching
+
events. Combining these scenarios with stakeholder knowledge fosters informed dialogue and planning.
guidance, webinars, and workshops; and the CLEAN Network, a professionally diverse community of scientists,
 
educators and other professionals that connect regularly through weekly teleconferences, and email list, and event
 
hosted at conferences to work toward fostering climate and energy literacy.
 
  
:Website: https://cleanet.org/index.html
+
We help partners and clients of varying needs and technical experience choose the best ways to visually
:Full Application: [https://drive.google.com/file/d/1mWPd8g_Gft6Zry_Y8HXaSlWvcgOmgOFp/view?usp=sharing]
+
communicate climate research information by creating maps, websites, interactive tools, diagrams, and print
 +
publications. Some examples include the Historical Sea Ice Atlas website and custom maps created for an Arctic
 +
management report to the President of the United States. SNAP also applies dynamical and statistical (delta)
 +
downscaling methods to climate data to create locally accurate climate information.
  
===First Street Foundation - ESIP-III ===
+
:Website: https://uaf-snap.org/
First Street Foundation is a non-profit research and technology group committed to defining America's flood risk,
+
:Full Application: [https://drive.google.com/file/d/15P_PE_ouvr2N-rlBdD7_75yyfkjtEE8V/view?usp=sharing]
under current and future climate scenarios. First Street both consumes Earth science community data (satellite
 
imagery, DEMs, sea levels, hurricane storm surge) and contributes analyses and assessments related to climate
 
change and flood risk.
 
 
 
:Website: https://firststreet.org/
 
:Full Application: [https://drive.google.com/file/d/1YfOeh9bTfcV0AE3JARyyjpOOiGFTdpBS/view?usp=sharing]
 

Revision as of 12:30, August 31, 2020

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

Fall 2020 Class

Airborne Snow Observatories - ESIP-III

Building on a 7-year legacy with the NASA Jet Propulsion Laboratory, Airborne Snow Observatories Inc. provides basin-scale inventories of mountain snow water resources using industry-leading airborne remote sensing techniques and modeling. ASO collaborates with many academic research organizations, including NCAR, and distributes data to academics for research purposes.

Website: https://www.airbornesnowobservatories.com/
Full Application: [1]

Scenarios Network for Alaska and Arctic Planning (SNAP) - ESIP-II

Since 2007, SNAP has used climate data to create and share ideas of what a future Northern climate could look like. Because climate projections can be misleading and potentially misused, interpretation that recognizes uncertainty is needed. We work with climate data every day and know how to display a specific trend or pattern in the most unbiased manner. SNAP scenarios are not forecasts based on probabilities. Instead, they use data to ask "What if ...?" and consider multiple divergent, challenging, and possible future events. Combining these scenarios with stakeholder knowledge fosters informed dialogue and planning.

We help partners and clients of varying needs and technical experience choose the best ways to visually communicate climate research information by creating maps, websites, interactive tools, diagrams, and print publications. Some examples include the Historical Sea Ice Atlas website and custom maps created for an Arctic management report to the President of the United States. SNAP also applies dynamical and statistical (delta) downscaling methods to climate data to create locally accurate climate information.

Website: https://uaf-snap.org/
Full Application: [2]