class:title-slide-custom <style> /* colors: #EEB422, #8B0000, #191970, #00a8cc */ /* define the new color palette here! */ a, a > code { color: #8B0000; text-decoration: none; } .title-slide h2::after, .mline h1::after { content: ''; display: block; border: none; background-color: #8B0000; color: #8B0000; height: 2px; } .remark-slide-content { background-color: #FFFFFF; border-top: 80px solid #8B0000; font-size: 20px; font-weight: 300; line-height: 1.5; <!-- padding: 1em 2em 1em 2em --> background-image: url(css/UNL.svg); background-position: 2% 98%; background-size: 10%; border-bottom: 0; } .inverse { background-color: #8B0000; <!-- border-top: 20px solid #696969; --> <!-- background-image: none; --> <!-- background-position: 50% 75%; --> <!-- background-size: 150px; --> } .remark-slide-content > h1 { font-family: 'Roboto'; font-weight: 300; font-size: 45px; margin-top: -95px; margin-left: -00px; color: #FFFFFF; } .title-slide { background-color: #FFFFFF; <!-- border-left: 80px solid #8B0000; --> background-image: url(css/UNL.svg); background-position: 98% 98%; <!-- background-attachment: fixed, fixed; --> background-size: 20%; border-bottom: 0; border: 10px solid #8B0000; <!-- background: transparent; --> } .title-slide > h1 { color: #111111; font-size: 32px; text-shadow: none; font-weight: 500; text-align: left; margin-left: 15px; padding-top: 80px; } .title-slide > h2 { margin-top: -25px; padding-bottom: -20px; color: #111111; text-shadow: none; font-weight: 100; font-size: 28px; text-align: left; margin-left: 15px; } .title-slide > h3 { color: #111111; text-shadow: none; font-weight: 100; font-size: 28px; text-align: left; margin-left: 15px; margin-bottom: -20px; } body { font-family: 'Roboto'; font-weight: 300; } .remark-slide-number { font-size: 13pt; font-family: 'Roboto'; color: #272822; opacity: 1; } .inverse .remark-slide-number { font-size: 13pt; font-family: 'Roboto'; color: #FAFAFA; opacity: 1; } .title-slide-custom .remark-slide-number { display: none; } .title-slide-custom h3::after, .mline h1::after { content: ''; display: block; border: none; background-color: #8B0000; color: #8B0000; height: 2px; } .title-slide-custom { background-color: #FFFFFF; <!-- border-left: 80px solid #8B0000; --> background-image: url(css/UNL.svg); background-position: 98% 98%; <!-- background-attachment: fixed, fixed; --> background-size: 20%; border-bottom: 0; border: 10px solid #8B0000; <!-- background: transparent; --> } .title-slide-custom > h1 { color: #111111; font-size: 40px; text-shadow: none; font-weight: 500; text-align: left; margin-left: 15px; padding-top: 80px; padding-bottom: 10px; } .title-slide-custom > h2 { margin-top: -25px; padding-bottom: 30px; color: #111111; text-shadow: none; font-weight: 100; font-size: 32px; text-align: left; margin-left: 15px; } .title-slide-custom > h3 { margin-top: -25px; padding-bottom: -25px; color: #111111; text-shadow: none; font-weight: 100; font-size: 32px; text-align: left; margin-left: 15px; } .title-slide-custom > h4 { color: #111111; text-shadow: none; font-weight: 100; font-size: 28px; text-align: left; margin-left: 15px; margin-bottom: -30px; padding-bottom: -25px; } .title-slide-custom > h5 { color: #111111; text-shadow: none; font-weight: 100; font-size: 24px; text-align: left; margin-left: 15px; margin-bottom: -40px; } <!-- img { --> <!-- max-width: 50%; --> <!-- } --> </style> <br><br><br> ## A Spatio-Temporal Model for Arctic Sea Ice ### Joint Statistical Meetings, August 2022 #### Alison Kleffner, Susan VanderPlas, Yawen Guan #### Department of Statistics, University of Nebraska - Lincoln #####
[akleffner@huskers.unl.edu](akleffner@huskers.unl.edu) #####
[https://alison-kleffner.netlify.app/](https://alison-kleffner.netlify.app/) #####
[alisonkleffner](https://github.com/alisonkleffner) <br><br> .medium[*Slides: https://alisonkleffner.github.io/presentations/JSM_2022/index.html#1] --- class: primary # Goal: Sea Ice Crack Detection + Sea ice is frozen sea water that can occur as an ice pack which drifts over the oceans surface + Cracks, or leads, may form in the ice pack due to dynamic processes - Allows for heat from the ocean to be transferred to the atmosphere (Schreyer, Sulsky, Munday, et al., 2006). + Other Ice Crack Detection Methods - Involve the use of thermal images or deformation calculations found through satellite images (Key, Stone, Maslanik, et al., 1993; Peterson and Sulsky, 2011). + Satellite images can be low in resolution and are affected by atmospheric conditions (Willmes and Heinemann, 2015) <img src="images/Ice Chunk.png" width="60%" style="display: block; margin: auto;" /> --- class:primary # Method Motivation: Trajectory Plot <img src="index_files/figure-html/traj-plot-1.png" style="display: block; margin: auto;" /> --- class:primary # Our Proposed Methods: Overview + Clustering Method: Bounding Box - Find Cracks: - Uses movement features of trajectory to group similar trajectories - Boundaries of clusters - location of potential ice cracks - Spatio-Temporal Interpolation Method: Intersections - Due to data collection method, data tends to be missing in chunks - Uses spatio-temporal neighbors of missing data + Found using the clusters <div class="figure" style="text-align: center"> <img src="images/bounding-box.png" alt="Picture of different features of our Bounding Box" width="291" /> <p class="caption">Picture of different features of our Bounding Box</p> </div> --- class:primary # References <font size="2"> <p><cite><a id='bib-key_detectability_1993'></a><a href="#cite-key_detectability_1993">Key, J., R. Stone, J. Maslanik, et al.</a> (1993). “The detectability of sea-ice leads in satellite data as a function of atmospheric conditions and measurement scale”. In: <em>Annals of Glaciology</em> 17, pp. 227–232. DOI: <a href="https://doi.org/10.3189/S026030550001288X">10.3189/S026030550001288X</a>.</cite></p> <p><cite><a id='bib-peterson_evaluating_2011'></a><a href="#cite-peterson_evaluating_2011">Peterson, K. and D. Sulsky</a> (2011). “Evaluating Sea Ice Deformation in the Beaufort Sea Using a Kinematic Crack Algorithm with RGPS Data”. In: <em>Remote Sensing of the Changing Oceans</em>. Berlin, Heidelberg: Springer. ISBN: 978-3-642-16541-2.</cite></p> <p><cite><a id='bib-schreyer_elastic_2006'></a><a href="#cite-schreyer_elastic_2006">Schreyer, H. L., D. L. Sulsky, L. B. Munday, et al.</a> (2006). “Elastic-decohesive constitutive model for sea ice”. In: <em>Journal of Geophysical Research: Oceans</em> 111.C11. DOI: <a href="https://doi.org/10.1029/2005JC003334">10.1029/2005JC003334</a>.</cite></p> <p><cite><a id='bib-willmes_pan-arctic_2015'></a><a href="#cite-willmes_pan-arctic_2015">Willmes, S. and G. Heinemann</a> (2015). “Pan-Arctic lead detection from MODIS thermal infrared imagery”. In: <em>Annals of Glaciology</em> 56, pp. 29–37. DOI: <a href="https://doi.org/10.3189/2015AoG69A615">10.3189/2015AoG69A615</a>.</cite></p> </font> --- class:inverse <br> <br> <br> .center[ # Questions? <br> <br>
**akleffner@huskers.unl.edu**
**alisonkleffner** <img src="images/frame.png" width="96" height="65%" /> ]