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BEGIN:VEVENT
UID:a039b0cd3219cbffbcbd9f67c6c817e6
CATEGORIES:Polar Online Events
CREATED:20210427T080011
SUMMARY:IceFlow and icepyx: Python tools for Harmonizing Laser Altimetry Datasets in an Open Science Framework, NASA Earthdata Webinar
LOCATION:Online
DESCRIPTION:<p style="text-align: justify;"><strong>NASA Earthdata Webinar:</strong> Ic
 eFlow and icepyx: Python tools for Harmonizing Laser Altimetry Datasets in 
 an Open Science Framework</p><p style="text-align: justify;"><strong>When: 
 </strong>Wednesday 28 April 2021, 02:00 PM – 03:0 PM (Eastern Daylight Savi
 ngs Time [UTC/GMT-4])</p><p style="text-align: justify;"><strong>Overview: 
 </strong>Since 2003, NASA’s ICESat, IceBridge, and ICESat-2 missions have c
 ollected valuable information on the evolution of land and sea ice using la
 ser altimetry technology. However, combining these disparate and large-volu
 me data products, available from the NASA National Snow and Ice Data Center
  Distributed Active Archive Center (NSIDC DAAC), presents a challenge in te
 rms of varied data formats, coordinate reference systems, spatial coverage,
  and discovery and access methods.</p><p style="text-align: justify;">This 
 webinar will introduce and demonstrate two Python-based tools that offer so
 lutions to these persistent challenges. NSIDC DAAC’s IceFlow API and Jupyte
 r Notebook harmonize these data products into similar formats and apply the
  necessary geophysical corrections for users to immediately access, compare
 , and visualize decades of data in a single workflow. The open-source icepy
 x project is both a software library and a community composed of ICESat-2 d
 ata users, developers, and the scientific community, who are working togeth
 er to develop a shared library of resources that simplify the process of qu
 erying, obtaining, analyzing, and manipulating ICESat-2 datasets to enable 
 scientific discovery. While this presentation will focus on cryospheric app
 lications of these NASA missions, the challenges they address are not uniqu
 e to the broader Earth science community. They also demonstrate what is pos
 sible within and across disciplines when tools are developed using an open 
 science framework.</p><p style="text-align: justify;"><strong>Presenters: <
 /strong></p><p style="text-align: justify;">Amy Steiker and Nicholas Kotlin
 ski, NASA National Snow and Ice Data Center Distributed Active Archive Cent
 er (NSIDC DAAC)</p><p style="text-align: justify;">Dr. Jessica Scheick, Uni
 versity of New Hampshire, Earth Systems Research Center</p><p style="text-a
 lign: justify;"><strong>For event information or to register see,</strong><
 /p><p style="text-align: justify;"><a href="https://earthdata.adobeconnect.
 com/eqnku1dl4z85/event/event_info.html" target="_blank" rel="noopener">http
 s://earthdata.adobeconnect.com/eqnku1dl4z85/event/event_info.html</a></p>
DTSTAMP:20260423T004505Z
DTSTART;TZID=UTC;VALUE=DATE:20210428
DTEND;TZID=UTC;VALUE=DATE:20210429
SEQUENCE:0
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