Stefan Hendricks (@[email protected]) @sthendric
Geophysicist at the @AWI_de with research focus on #seaice thickness remote sensing. Views are my own. Also @[email protected] Bremen, Deutschland Joined April 2017-
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@rmfredensborg @dr_slfarrell @esa_cryosat @NASA_ICE @AWI_Media Hope you all having fun in Iceland 😀
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@rmfredensborg @dr_slfarrell @esa_cryosat @NASA_ICE @AWI_Media And for lognormal distributions there might be actually very little actual interfaces at the retracked height. For ground and airborne altimeters this can be a bit different.
Stefan Hendricks (@[email protected]) retweeted
🎂 HAPPY BIRTHDAY #CryoSat! 🎂 The sun and moon are trying to overshadow us, but we won't be eclipsed. 🥳 14 years in orbit, today! 1⃣4⃣ years of monitoring Earth's ice ❄️ water 🌊 and even the seabed floor 🌋 🎁 The gift that keeps on giving 🍾 Here's to many more!
@esa_cryosat @EeroRinne @ESA_EO CryoSat-4ever is enough
Stefan Hendricks (@[email protected]) retweeted
1⃣4⃣ years of SMOS-CryoSat sea ice thickness! 📢 A new version [v206] of the SMOS-CryoSat level 4 sea ice thickness product is now available 👉🔗earth.esa.int/eogateway/news…
Stefan Hendricks (@[email protected]) retweeted
📊 Open call for data submission 📊 📢 The SIN’XS Data Submission portal is now open and available 🗓️ Submissions run from now until 30 June 2024 ⁉️ What's SIN'XS? It's the Sea Ice thickness product iNter-comparison eXerciSe 🧊 It aims to define a reconciled estimate of Arctic and Antartic sea ice thickness ℹ️🔗sinxs.noveltis.fr/2023/10/20/sin…
Stefan Hendricks (@[email protected]) retweeted
❄️ NEW #CryoSat paper ❄️ ❄️📏 Measuring snow depth on sea ice is very important, but a major source of uncertainty in satellite measurements 🛰️🛰️ How does dual frequency radar altimetry compare with other approaches to better estimate snow depth? 📰📊 "Results suggest the possibility of using polarimetric radar altimetry data from airborne or satellite instruments to estimate snow depth over sea ice" ✍️ Willatt et al. @CPOM_news feat. @JulienneStroeve @RobbieMallett @sthendric @micheltsamados & more... 🔗agupubs.onlinelibrary.wiley.com/doi/10.1029/20…
@SigneAaboe @ClnHz @OSISAF There is some thicker remnant sea ice in the Laptev Sea, which was likely formed earlier this year
@jclandy @ERC_Research @CIRFA_SFI @UiTNorgesarktis Congratulations 😊
@WhinnyHowe Open-source system simulators for all sensors to aid validation and shape retrieval algorithms.
Stefan Hendricks (@[email protected]) retweeted
Stefan Hendricks (@[email protected]) retweeted
🧊 NEW #CryoSat paper 🧊 "Monitoring #Arctic thin ice" 📊 A comparison of CryoSat, MODIS & Sentinel-1 highlights the potential of CryoSat to discriminate between thick sea ice 📏 open water leads 🌊 & thin ice 👌 @TU_Muenchen & @AWI_Media in @AGU_Cryo 🗞️👉tc.copernicus.org/articles/17/80…
Stefan Hendricks (@[email protected]) retweeted
New research article: Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery doi.org/10.5194/tc-17-…
Stefan Hendricks (@[email protected]) retweeted
❄️❄️❄️ #CryoSat NEWS ❄️❄️❄️ A new version of the SMOS-CryoSat level 4 sea ice thickness product is now available 🥳🪩🎉 ℹ️👉earth.esa.int/eogateway/news…
@RobbieMallett @micheltsamados @SMOS_satellite @esa_cryosat There should be a decent correlation between roughness and thickness (via age) though.
@micheltsamados Thanks for sharing! Downloading the monthly data now 😊
@shiyuwu8 My guess is that velocity is the instantenous velocity/speed vector at a given time while drift describes the displacement between two points in time.
@RobbieMallett Displaying sea ice and snow as flat layers for satellite radar footprints is not a good representation of true sea ice conditions at all, but the point is the communication of freeboard biases. But yeah, would be interesting to see how this can be visualized better.
@RobbieMallett I think one of the difficulties to properly visualize radar ranging biases over sea ice is that the output of the retracker is a single range/elevation number, but in reality there is a surface height distribution convolved with a snow depth distribution
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