Jack Landy
@jclandy
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Associate Professor @cirfa_SFI @UiTNorgesarktis. Formerly of @Bristol_Glac @CeosUofm. Excited by all things sea ice.
Tromsø, Norway
Joined January 2013
Check out our new paper, if you fancy 🙂 “A year-round satellite sea-ice thickness record from CryoSat-2” @UiTNorgesarktis @Bristol_Glac @GeogBristol @ES_UCL @CPOM_news @ECCCSciTech @AWI_Media @CeosUofm @um_research @NOCnews @esa_cryosat @esaclimate
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RT @76mono: 1/ 📢 Excited to share our new research published in #TheCryosphere on snow depth estimation in the Canadian Arctic Archipelago….
tc.copernicus.org
Abstract. Observations of snow on Arctic Sea ice are vitally important for sea ice thickness estimation, bio-physical processes, and human activities. While previous studies have combined CryoSat-2-...
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We're lucky to have received support from several grants to complete this work, mainly the @ESA_EO @esa_cryosat Polar+ Snow on Sea Ice Project. Please share your comments on the paper! @carmenjulianab @isolde_glis @RobbieMallett @rmfredensborg @micheltsamados.
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Some model simulations of CRISTAL Ku- and Ka-band waveforms in the expected DD-SAR sea ice mode highlight geographic variations in the mean fraction of the snow depth "penetrated" by the twin radars
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We investigate some of the reasons why snow and sea ice freeboards measured by three different satellite missions match or don't in the Arctic. Takeaways: surface roughness and the seasonal variation of snow and ice properties really matter!.
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Take a look at our new preprint in @EGU_TC Anticipating CRISTAL: An exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 @CIRFA_SFI @UiTNorgesarktis @Bristol_Glac @CPOM_news @DTUcryo @esa_cryosat @NASA_ICE
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RT @jenyasalganik: Our work with Odile Crabeck, @HutterNils and @jclandy about the rapid decrease of sea-ice density in summer leading to n….
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RT @OceanSeaIceNPI: At 87.5N, 15.5W we made quick stop to deploy an @UiTNorgesarktis weather station and and an @arctic_passion ice mass b….
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Great work from Claude preparing and defending his thesis on a really challenging but important topic! Check out his paper on sources of ku-band radar backscatter over snow covered sea ice
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RT @esa_cryosat: ☀️🧊 Great news! 🧊☀️ Cryo-TEMPO gets a new Summer Sea Ice product!. #CryoSat’s remarkable 1⃣4⃣-year record of global ice an….
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Awesome thread from @rmfredensborg summarising our new cryo2ice paper 🙌 @CIRFA_SFI.
❗️❗️❗️Are you as excited about the upcoming #ESA #CRISTAL mission and estimating snow depth from dual-frequency altimetry along the orbits as us? We've evaluated this possiblity - albeit from laser and radar - from Arctic #CRYO2ICE orbits for 2020-2022! ➡️
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RT @willjgregory_: 🚨 Very excited to share this pre-print!. In this work we developed an open-source Python library, GPSat, for investigati….
researchsquare.com
In this work, we present a new open-source Python programming library for performing efficient interpolation of non-stationary satellite altimetry data, using scalable Gaussian Process (GP) techniq...
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RT @esa_cryosat: Sea ice thickness estimates derived from #CryoSat measurements are used in the @metoffice global ocean–sea ice forecasting….
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@UiTNorgesarktis @DavidBrockley @MSSLSpaceLab @esa_cryosat All part of the @ESA_EO Cryo-TEMPO project.
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Anne Braakmann-Folgmann @UiTNorgesarktis and @DavidBrockley & Lin Gilbert at @MSSLSpaceLab have been working hard to prepare for a NEAR REAL TIME @esa_cryosat summer sea ice freeboard dataset to support such forecasting applications 🧊🛰 Out this summer!!.
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Very cool! Great to see this summer sea ice thickness dataset from @esa_cryosat having an impact on Arctic forecasting! @CIRFA_SFI @UiTNorgesarktis.
📉 #Arctic sea ice is declining due to #GlobalWarming.🔮 Accurate forecasting of sea ice is important to understand impact of changes.🆕 A new preprint uses #CryoSat summer sea ice data to reduce short term forecast error & benefit long-term forecasts. 👉
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Just published! Smashing work Yong-Fei @Princeton
agupubs.onlinelibrary.wiley.com
The representation of Arctic sea ice volume anomalies is significantly improved by assimilating year-round sea ice thickness (SIT) observations from CryoSat-2 Arctic summer sea ice prediction ski...
Check out this great pre-print, led by Yongfei Zhang @Princeton, which shows how assimilation of CryoSat2 summer sea ice thickness observations improves initial conditions and seasonal prediction of September sea ice in the GFDL coupled climate model!
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RT @esa_cryosat: 💚 Over the past few days, we've been exploring science for a green and sustainable society here at @ESA_EO. 📢 And we've he….
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RT @esa_cryosat: 🤩 Thank you so much to all these fantastic people who joined us in ESRIN this week to discuss the next improvements to Cry….
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RT @EGU_TC: Discussion open for comments on @EgUsphere: Sea ice transport and replenishment across and within the Canadian Arctic Archipela….
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👏👏👏 Well done to Dr Glissenaar who rocked her phd defence yesterday! If you want to know anything about satellite observations of sea ice change in the Canadian Arctic 👉 talk to Isolde!.
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