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UK Centre for Polar Observation and Modelling

@cpom-uk.bsky.social
799 followers 258 following 263 posts

UK Centre for Polar Observation & Modelling (CPOM), primarily funded by NERC. Leading research in the polar regions from scientists at Northumbria, Lancaster, Liverpool, UCL, Reading & Bristol.

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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 12/10/2026
We recently welcome the first cohort of PhD students to the Net Zero Polar Science Doctoral Training Programme. We can't wait to see what they achieve over the coming years 💫 Find out more 👇@northumbriauni.bsky.social 🔗 cpom.org.uk/new-doctoral...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 07/10/2026
Excellent point! Closing date: 9th October 2026 at 11:59pm BST (UK time).
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 05/10/2026
🚨This job role closes for applications this week. Don't miss out - apply today! 👇
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 01/10/2026
🆕 Research led by CPOM Co-Director for Science, Dr Inès Otosaka (@northumbriauni.bsky.social), and published this week in JGR Earth Surface, has produced a 52-year record of ice sheet mass change in Northwest Greenland 👇 agupubs.onlinelibrary.wiley.com/doi/10.1029/...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 22/09/2026
Full list of authors: Michela Savignano, Alison Banwell, Waleed Abdalati, Robin E. Bell, Alexandra Boghosian, W. Roger Buck, Sarah Esenther, Emily Glazer, Adam LeWinter, Laurence C. Smith, Leigh Stearns.
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 22/09/2026
Fascinating new research led by Michela Savignano (@cires.colorado.edu) with co-author Prof @alibanwell.bsky.social on the Petermann Ice Shelf estuary has been published in the @egu.eu journal The Cryosphere 👇 tc.copernicus.org/articles/20/...
tc.copernicus.org
Temporal evolution of the Petermann Ice Shelf estuary constrained by satellite remote sensing observations
Abstract. Supraglacial rivers may reduce ice-shelf instability by draining meltwater from the ice-shelf surface, limiting loading-induced stresses from ponded meltwater. However, if a supraglacial riv...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 22/09/2026
🚀 Exciting new CPOM job role @northumbriauni.bsky.social Postdoctoral Researcher for a two-year position in Land Ice Earth Observation working as part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). 🔗 work4.northumbria.ac.uk#en/sites/CX_... Image credit: Prof Andrew Shepherd
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 18/09/2026
📹 Check out this video news item from @euronews.com featuring CPOM’s Dr Inès Otosaka talking about the results from the latest IMBIE report released this week 👇
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 18/09/2026
Thank you to all who attended the CPOM Annual Meeting 2026, in particular all the great speakers who shared their science updates, case studies, datasets and new outreach resources. We are already looking forward to seeing you again next year 😊
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ESA Earth Observation @esaearth.esa.int · 16/09/2026
Nearly 5 decades of satellite data reveal the scale of polar ice loss🧊 Using data from 27 missions, including @esa.int's CryoSat & Copernicus Sentinels, a new study found that Greenland and Antarctica lost 11.3 trillion tonnes of ice since the 1970s: www.esa.int/Applications... 📹Otosaka et al(2026)
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 16/09/2026
Find out more on the ESA website 👇 www.esa.int/Applications...
esa.int
Faster-flowing glaciers fuel decades of polar ice loss
The longest satellite data record of ice-sheet change ever assembled has revealed that Greenland and Antarctica have lost a staggering 11 trillion tonnes of ice since the 1970s, driving global sea lev...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 16/09/2026
84% of the combined loss was driven by glaciers speeding up and pouring more ice into the ocean, with just 16% due to surface melting. West Antarctica’s ice discharge has risen in every decade of the record. Credit: Contains modified Copernicus Sentinel data (2024–2025), processed by @esa.int
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 16/09/2026
The Ice Mass Balance Inter-Comparison exercise, led by CPOM/Northumbria University’s Dr Inès Otosaka, Prof Andrew Shepherd (@northumbriauni.bsky.social) and Dr Tyler Sutterley (University of Washington) show this ice loss contributed 31.4 millimetres to global sea levels...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 16/09/2026
🆕Latest IMBIE assessment, published today in Scientific Data, shows 11.3 trillion tonnes of ice has been lost from Greenland and Antarctica since 1979 with ice losses climbing steeply from the 1990s onwards 👇 🔗 www.nature.com/articles/s41...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 15/09/2026
The June 2026 issue of environmental SCIENTIST focusing on climate tipping points is now openly available, and features an article by CPOM's Dr Inès Otosaka (@northumbriauni.bsky.social) on the risk of crossing ice sheet tipping points 👇 🔗 www.the-ies.org/resources/en...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 15/09/2026
📢 Sign up the UKNCSP webinar for the climate modelling community on UK Climate Information (UKCI), the UK's new national climate service supporting climate adaptation and decision-making 👇 📅24 September 10:00-11:00 BST. 🔗 www.eventbrite.co.uk/e/ukcp18-to-...
eventbrite.co.uk
UKCP18 to UKCI: New UK climate information for assessing impacts and risks
Discover the science and experimental design underpinning UKCI and how future climate information outputs will be generated.
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 10/09/2026
🚨Take a look at this job post currently open for applications at @ucl.ac.uk 👇 The role: Lecturer in Climate Science, with particular interest in polar and cryosphere research 🧊 Apply 👉 www.ucl.ac.uk/work-at-ucl/...
ucl.ac.uk
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 02/09/2026
The report highlights that gathering direct observations of coastal bed topography and sub-ice shelf cavities is crucial data that could support more accurate ice sheet modelling and projections of sea level rise. You can read more on the SCAR website: scar.org/scar-news/cr...
scar.org
New Scientific Review Identifies Antarctic Coastal Blind Spots Limiting Sea Level Projections | SCAR
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 02/09/2026
The review brings together experts from across disciplines, with first author Kenichi Matsuoka (Norwegian Polar Institute) and co-authors including CPOM’s Inès Otosaka, Andrew Shepherd and Tom Slater (@northumbriauni.bsky.social), to examine current understanding of Antarctica’s coastal zone...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 02/09/2026
🆕New scientific review led by @scar-antarctic.bsky.social highlights crucial Antarctic knowledge gaps 👇 🔗 agupubs.onlinelibrary.wiley.com/doi/10.1029/...
agupubs.onlinelibrary.wiley.com
Toward an Improved Understanding of the Antarctic Coastal Zone and Its Contribution to Future Global Sea Level
Antarctic sea-level contribution is largely controlled by coastal ice-sheet processes, emphasizing the need for detailed observations in this region Data gaps in the ice sheet's coastal zone are ...
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Reposted by UK Centre for Polar Observation and Modelling
Alison Banwell @alibanwell.bsky.social · 11/08/2026
I'm excited to share that our paper, led by my then PhD student Dr Emily Glen, has been published in The Cryosphere: "A nine-year record of slush on the Greenland Ice Sheet." 💦 🛰️ 🇬🇱 🧪 tc.copernicus.org/articles/20/... @egu-cr.bsky.social @cpom-uk.bsky.social @cires.colorado.edu @nsidc.bsky.social
tc.copernicus.org
A nine-year record of slush on the Greenland Ice Sheet
Abstract. Surface melt on the Greenland Ice Sheet has intensified in recent decades, accelerating mass loss. Slush, i.e., water-saturated snow or firn, is a key component of the ice sheet's surface hy...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 13/08/2026
Read more about the research findings on our website 👇 🔗 cpom.org.uk/greenland-ic...
cpom.org.uk
Greenland Ice-Sheet-wide slush mapped for the first time using Machine Learning - CPOM
A team of researchers has produced the first dataset of Greenland Ice-Sheet-scale slush covering almost a decade (2016-2024) at 100 m resolution. The study, published on 7 August 2026, used satellite imagery from ESA’s Sentinel-2 satellite and a ‘random forest classifier’, a machine learning method of categorisation, to map the ice sheet. Image of slush taken on the Greenland Ice Sheet in 2011. Image Credit: Professor Ian Willis (University of Cambridge). The research was led by Dr Emily Glen (Penn State University) with co-authors Professor Alison Banwell (CPOM/Northumbria University), Dr Katie Miles (Lancaster University), Dr Amber Leeson (CPOM/Lancaster), Dr Rebecca Dell (Scott Polar Research Institute, University of Cambridge), Professor Mal McMillan (CPOM/Lancaster University), and CPOM Senior Research Associate, Dr Jennifer Maddalena (CPOM/Lancaster University). Key findings from the research: Lead author, Dr Emily Glen, who completed this work during her PhD at CPOM/Lancaster University and is now a Postdoctoral Researcher in Antarctic Ice Sheet Observations and Modeling at Penn State said: “For the first time, we’ve been able to map slush across the whole Greenland Ice Sheet and show that it is a widespread and important part of the surface meltwater system that has largely been overlooked. This has been a huge collaborative effort with my co-authors and supervisors, and I’m really pleased that we can now make this nine-year dataset available to the wider community. I’m looking forward to seeing how other researchers use it, particularly to better understand Greenland’s surface hydrology and improve how slush is represented in future ice-sheet models.” Being able to map slush accurately across an ice sheet is an important step forward for scientists monitoring these vast areas and for modelling projections in future ice sheet behaviour. As more melting occurs meltwater increases. At the same time the firn (a compacted layer of snow that is at least a year old) loses its capacity to absorb and store that water. These factors combined means slush becomes more prevalent on the surface, darkening the ice surface, reducing its albedo and absorbing more radiation from the sun, leading to a positive feedback mechanism. Image of field research being conducted on slush on the Greenland Ice Sheet in 2011. Image credit: Professor Ian Willis (University of Cambridge). Co-author Professor Alison Banwell, CPOM PI of Land Ice/Ice Shelf Earth Observation (Northumbria University) said: “We have shown that slush is the dominant surface meltwater feature on the Greenland Ice Sheet, covering up to nine times the area of lakes and rivers. Because slush absorbs more sunlight than snow but isn’t explicitly included in current melt models, we’re likely underestimating how much meltwater Greenland produces.” Slush is snow or firn that has become water-saturated and has been difficult to categorise using NDWI (Normalized Difference Water Index) thresholding as it can closely resemble snow and ice around it, as well as have ill-defined borders. The machine-learning model was trained using expert-reviewed examples of slush and achieved high accuracy in internal testing. As the Earth’s climate continues to warm, slush is becoming an increasingly important factor in further amplifying melt on the ice sheet surface. By continuing to improve the methodology for identifying and mapping slush using satellite data, scientists can continue to improve the ways we monitor ice sheet behaviour and calibrate models to project future ice mass balance and associated contributions to global sea levels. More information You can read ‘A nine-year record of slush on the Greenland Ice Sheet’ in EGU The Cryosphere. Authors: Emily Glen, Alison F. Banwell, Katie E. Miles, Amber A. Leeson, Rebecca L. Dell, Malcolm McMillan, and Jennifer Maddalena. Funding note This research was supported by the UK Natural Environment Research Council, the UK Centre for Polar Observation and Modelling, the European Space Agency and the U.S. National Science Foundation. Images credit: Professor Ian Willis (The University of Cambridge)
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 13/08/2026
Slush darkens the ice, absorbing more heat & speeding up melt creating a positive feedback loop. Being able to map slush accurately across an ice sheet is an important step forward for scientists monitoring these vast areas and for modelling projections in future ice sheet behaviour.
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 13/08/2026
❄️ Slush covered 2.8% of the ice sheet on average each melt season, but in 2019, that jumped to 5.1%, reaching 170km inland.
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 13/08/2026
🆕 Researchers, including CPOM scientists, map Greenland's slush, spanning almost a decade, using ML + satellite data 👇 🔗 tc.copernicus.org/articles/20/...
tc.copernicus.org
A nine-year record of slush on the Greenland Ice Sheet
Abstract. Surface melt on the Greenland Ice Sheet has intensified in recent decades, accelerating mass loss. Slush, i.e., water-saturated snow or firn, is a key component of the ice sheet's surface hy...
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Reposted by UK Centre for Polar Observation and Modelling
Alison Banwell @alibanwell.bsky.social · 11/08/2026
Pleased to have been able to contribute to two of the articles in ‘State of the Climate in 2025’, focussed on Antarctic surface melt and hydrology 💦 🛰️ 🌏 🧪 @cires.colorado.edu @cpom-uk.bsky.social @northumbriauni.bsky.social @colorado.edu
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 20/07/2026
You can also download the dataset here 👇 science-pds.cryosat.esa.int
science-pds.cryosat.esa.int
CryoSat-2 Science Server
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 20/07/2026
Take a look at the dataset via CryoTempo (CryoSat Thematic Product Viewer) here 👇 www.cpom.ucl.ac.uk/cryotempo/
cpom.ucl.ac.uk
Cryo-TEMPO
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 20/07/2026
📢 New paper, led by CPOM's Qi Huang and Mal McMillan (Lancaster University), showcases an improved 15-year record of ice sheet elevation from @esaearth.esa.int CryoSat-2 radar altimetry🛰️ Read the paper 👇 www.sciencedirect.com/science/arti...
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Alison Banwell @alibanwell.bsky.social · 15/07/2026
Please consider submitting an abstract to our @agu.org 2026 session, “The Cryosphere is for All’! @cires.colorado.edu @ciresceee.bsky.social @cpom-uk.bsky.social #AGU26 #cryosphere 🧊 🧪
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 26/06/2026
🔗 nzps-dtp.ac.uk/phd-experien...
nzps-dtp.ac.uk
PhD Experiences – Net Zero Polar Science
In this video we introduce Marlena, a first year PhD Researcher who is using drones as part of her PhD research.
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 26/06/2026
🔗https://cpom.org.uk/cpom-egu26-blog-polarimetric-synthetic-aperture-radar-altimeter-concept-posara-the-bold-idea-that-could-change-how-we-monitor-sea-ice/
cpom.org.uk
CPOM@EGU26 Blog - Polarimetric Synthetic Aperture Radar Altimeter concept (PoSARA): The Bold Idea That Could Change How We Monitor Sea Ice - CPOM
The thicknesses of sea ice and the snow that rests upon it are recognised as Essential Climate Variables by the WMO, critical for understanding, monitoring, and predictions of Earth’s climate. However, snow depth on sea ice is difficult to measure by satellite due to how radar penetrates and scatters off the ice, presenting challenges for assessing sea ice thickness. The challenges surrounding quantifying this variable can have knock on considerations for monitoring ice mass balance, understanding of polar climate feedbacks, the operational safety of shipping routes, and ecosystems. As snow depth on sea ice is dynamic and precipitation and snow pack properties can evolve through seasons as well as varying over longer timescales due to warming, the gap in understanding could become increasingly consequential over time. A discovery with the KuKa radar was developed into a novel snow depth retrieval approach. KuKa can be operated looking straight down (using Altimeter mode); and looking at an incidence angle (using Scatterometer Mode); both provide can both waveforms and normalised radar cross section values. Scientists have found that polarisation can help to determine snow depth on Arctic and Antarctic sea ice, which would also support estimations of sea ice thickness. On Friday 8 May, Dr Rosemary (Rosie) Willatt (UCL) will present at EGU26 on the progress of the Polarimetric Synthetic Aperture Radar Altimeter concept (PoSARA) — a novel satellite instrument concept using polarimetric capability to estimate snow depth on sea ice, land ice and land from space. She will share with the audience how well the technique works over Arctic and Antarctic sea ice, lake ice and Arctic tundra, derived from multiple field campaigns. “Making the unexpected discovery that using polarisation of waveforms provided accurate estimates of snow depth on sea ice in the initial MOSAiC dataset was exciting – nobody had predicted it but it made sense given existing theory on depolarisation in snow and we found one example of another instrument which observed something similar over a glacier. We then found our approach also worked with KuKa data from the Southern Ocean, and over tundra and lake ice in Churchill and Resolute.” – Said Rosie, commenting on the project for CPOM. The team has developed the concept through to Scientific Readiness Level (SRL) 3 as part of ESA’s NEOMI initiative (New Earth Observation Mission Ideas). NEOMI aims to scientifically advance new Earth Observation mission ideas, empowering emerging scientists as lead investigators for potential future satellite missions and bold new EO research, and to formulate and develop a new scientific idea for an Earth Observation mission up to SRL 3. Rosie, who is also CPOM’s Principal Investigator (PI) for Sea Ice Earth Observation, was awarded the ESA inaugural Konrad Steffen Award for a presentation on the early stages of this work, and is PI of the project, developing the concept for space application. The science behind it has been actively tested in the field more recently too. In April 2025, an all-female field team of polar scientists from CPOM and UCL, including Rosemary Willatt, Julienne Stroeve, Carmen Nab and Alicia Fallows, visited Resolute Bay to investigate the use of this frequency radar and different polarisations on ice and snow. You can watch a video the team made about the fieldwork here: https://cpom.org.uk/testing-kuka-in-the-arctic-new-video/ Satellites observing Earth’s polar regions give scientists the information they need to monitor how ice sheets and sea ice are changing, quantify their contribution to rising seas, and better understanding the complex ways that melting ice reshapes global weather systems. Read the abstract and find out more about this ‘Highlight’ presentation on the EGU26 website. Header image credit: Professor Alison Banwell Feature image credit: Dr Amy Swiggs
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 26/06/2026
It's been a fantastic week of talks and posters @gpr2026.bsky.social as experts from around the world joined together to explore advances in GPR. ⭐CPOM PhD Researcher Marlena earning joint best poster award 🛰️CPOM's Dr Rosie Willatt gave a talk on PoSARA. For more info - links in comments 👇
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 24/06/2026
🔗 cpom.org.uk/ground-truth...
cpom.org.uk
Ground truth at -20°C: A day in the life on the CEMSIE campaign - CPOM
“Getting your hands out of your gloves to operate a touchscreen, tighten screws, or peer at snow crystals through a handheld magnifying lens. All while wearing multiple layers and ensuring not to expose your hands for too long, was probably the hardest part of the work” says Alicia Fallows, a CPOM affiliated PhD researcher at UCL who spent ten days at the The Copernicus Expansion Missions Sea Ice Experiment (CEMSIE) campaign in Cambridge Bay, Canada in April 2026. With temperatures ranging from -5°C to -20°C and colder still with wind chill, dressed for the elements in heavy fieldwork gear, and long days capturing and recording vital data fieldwork can be an exhausting experience. Despite this, Alicia was keen to get back out on the ice every day. As part of a team made up mostly of Early Career researchers, “everyone was enthusiastic, willing to help each other, and was genuinely excited to be there!” Snow on sea ice in a warming Arctic The Arctic is warming faster than the global average and this is impacting Arctic sea ice. A 2024 CPOM UCL study found that Arctic sea ice in coastal regions may be thinning up to twice as fast as previously thought. Satellites offer the only means of observing sea ice at scale, but the accuracy of retrievals depends on how well we understand what they are measuring. Sea ice, and the snowpack sitting on top of it, remains one of the most challenging components of the cryosphere to characterise accurately because sea ice and snow are both changeable, and this impacts our ability to accurately retrieve sea ice properties from satellite observations. As snow depth, density, salinity and microstructure all potentially influence microwave scattering signatures, uncertainties remain in satellite retrievals. We need to ensure the methods and assumptions we use to retrieve information about sea ice from space are correct. The CEMSIE campaign – what it is and why it’s important The CEMSIE campaign aims to reduce those uncertainties ahead of the launch of the ESA missions CIMR, CRISTAL and ROSE-L, bringing together scientists from a range of institutions across Canada and Europe to collect in-situ measurements to improve the retrieval methods used by the future missions. Cambridge Bay offers stable, representative first-year sea ice (the ice that forms each winter and melts each summer) in conditions that are accessible for the large, multi-week campaign. Unlike sea ice that drifts with ocean currents, the ice here remains in the same place, allowing for repeated measurements at the same location. An average day in the CEMSIE camp Over 6 weeks, teams of researchers including Alicia, collected daily measurements of snowpack and sea ice properties – information that will directly inform instrument development for CIMR, CRISTAL and ROSE-L. Tasks were rotated so everyone got a chance to experience using different technologies. “One person might manage the scatterometers, turning on each radar, putting on the generators, and initiating the scans via a laptop. Another would take on the main snow pit: a full day’s work in itself, involving a wide array of instruments to measure snow properties. For example, we took density measurements and assessed the specific surface area of the snow using various instruments. Salinity was measured from bagged snow samples. All data was carefully recorded on a standardised snow pit sheet. Other regular tasks included taking ice cores and ice thickness measurements every few days, and setting up the passive radiometers – which needed to be switched on and configured each morning.” Overnight temperatures can fall dramatically, possibly producing measurably different radar returns from the snow, so team members could also volunteer to work overnight to capture diurnal variations in the snowpack, keeping the scatterometers running and measuring temperature changes in the pack by digging snowpits. Once back at camp, after unpacking, cleaning and drying the equipment, and having dinner (made by whoever was on a ‘rest day’) the work was still not over, and the team could find themselves working late into the evening. “After dinner, there was always a team meeting, which could run until eight or nine in the evening sharing successes, challenges, and planning for the next day. After that, there was usually data to upload, field notes to digitise, and lab measurements to begin before they piled up. Most nights, we wouldn’t be done until ten or eleven. Then it was straight to sleep, and up to do it all again. We did find an evening for a team film night!” While there, Alicia captured a typical day in the life of an Early Career researcher at CEMSIE in a 90 second video. For best view, open to full screen. Aside from the daily campaign tasks, Alicia also got the opportunity to go on a full site transect (a circuit of approximately two kilometres around the camp) using additional instruments like the magnaprobe, which you push down into the snow to measure depth, as well as an excursion to an area with dramatic ice ridging. Supported by colleagues, she also got the chance to complete her own experiment supporting her PhD research into a process called flooding, which occurs when seawater infiltrates into the snowpack. “I dug down to the sea ice surface and artificially created a flooding event – pumping seawater into a channel cut into the ice, effectively creating a small, contained pool. I then dug a series of snow pits at increasing distances from the flood site to track how far the water moved through the snow. We also set up one of the passive microwave instruments beside the site to monitor any changes in the radar return as the water spread. It was a genuinely exciting set of experiments to run!” What is Copernicus and CRISTAL? Copernicus is the Earth observation component of the European Union’s Space Programme, led by the European Commission (EC) and implemented in partnership with the European Space Agency (ESA). ESA develops and manages the space element, which is built around the Sentinel satellite missions and
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 24/06/2026
📽️CPOM PhD Researcher Alicia (@ucl.ac.uk) spent ten days at the @esa.int CEMSIE campaign - digging snow pits, running experiments, and collecting data to improve future satellite retrievals. Read the full article and watch the day-in-the-life film 👇 www.youtube.com/shorts/OKzRs...
youtube.com
A day in the life at CEMSIE camp
YouTube video by Centre for Polar Observation and Modelling (CPOM)
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 24/06/2026
📸We know quite a few environmental scientists also have a fantastic eye for photography! If this sounds like you, check out this competition from @royalsocietypublishing.org 👇
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 18/06/2026
Great work @icewicks.bsky.social 👏 Here's another fascinating article from CPOM Researcher Izzy, this time on the Greenland ice sheet, it's current state, how it's changing and what might happen in the future 👇
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 18/06/2026
🧊 If you want to find out more about Antarctic blue ice, how it forms and why it's important, check out this great article from CPOM PhD Researcher @icewicks.bsky.social 👇 www.antarcticglaciers.org/glacier-proc...
antarcticglaciers.org
Blue Ice Areas in Antarctica - AntarcticGlaciers.org
Isabelle Wicks  What is blue ice? Most the surface of Antarctica is covered in snow and firn (snow that has survived at least one melt season) (see firn). However, in mountainous regions and around th...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 20/05/2026
The ice Izzy models is thousands of miles away. Her CPOM / @northumbriauni.bsky.social PhD has got her closer to it than most. 🧊 2 minutes on what a CPOM polar science PhD can really involve - from running MONARCHS simulations to fieldwork in Ny-Ålesund with @bas.ac.uk 👇 📹 youtu.be/VGX_kwPb_8Q
youtu.be
Izzy's PhD story
YouTube video by Centre for Polar Observation and Modelling (CPOM)
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 12/05/2026
✨We are proud to share that Professor Daniel Feltham (University of Reading) and CPOM Principal Investigator for Sea Ice Modelling, has been awarded the Seligman Crystal by the International Glaciological Society - one of the society's highest honours! 🔗 www.igsoc.org/about/awards...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 07/05/2026
And on Friday afternoon at #EGU26 we have this series of posters from colleagues from the University of Reading and @ucl.ac.uk We hope you have all had a fantastic week in Vienna and wish you a safe journey home! 🙂
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 07/05/2026
Find out more on Joe's presentation: cpom.org.uk/cpomegu26-bl...
cpom.org.uk
CPOM@EGU26 Blog - How machine learning has allowed scientists from Lancaster University to extract more surface elevation information from satellite radar altimetry waveforms. - CPOM
Dr Joe Phillips (Lancaster University) will present this science as part of Session CR6.5 on Friday, 08 May, 14:45–14:55 (CEST) in Room L2. Radar altimetry satellites can measure the elevation of ice sheets by firing radio waves at the surface and timing how long the echo takes to return. However, with only a single antenna, these systems cannot tell exactly where on the surface each echo originated from. Current approaches work around this by making simplifying assumptions that reduce each echo to a single elevation estimate, discarding most of the information the waveform contains. This work takes a fundamentally different approach. Rather than throwing away that ambiguity, a probabilistic deep learning framework was trained to extract the full range of plausible surface elevations encoded within each echo. An ensemble of 16 deep learning models was trained on 600,000 radar echoes collected by CryoSat-2 over Antarctica between 2012 and 2021, using the Reference Elevation Model of Antarctica (REMA) as ground truth. The framework was tested over Pine Island Glacier – a region kept entirely separate from training – where it successfully reproduced well-established patterns of ice thinning of 2–3 metres per year. Encouragingly, results closely matched those from CryoSat-2’s interferometric products, which rely on additional information from a second antenna that many satellites do not carry. This matters because elevation change underpins almost everything we calculate about ice sheets: how much ice is being lost, how much seas are rising, and how reliable our future projections are. Extracting more information from each satellite echo – including from historical missions and future satellites that lack a second antenna – could meaningfully improve all of these estimates. Find out more by reading the abstract and attending his presentation online or in-person at EGU26. Feature image credit: ESA Header image credit: Professor Alison Banwell
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 07/05/2026
Find out more on Karla's presentation: cpom.org.uk/cpomegu26-cp...
cpom.org.uk
CPOM@EGU26 Blog - CPOM scientists from Lancaster University develop a new approach towards characterising the uncertainties associated with satellite altimetry-based estimations of ice sheet elevation - CPOM
Dr Karla Boxall (Lancaster University) will present this science as part of Session CR6.5 on Friday, 08 May, 14:35–14:45 (CEST) in Room L2. Satellite missions such as CryoSat-2, ICESat-2 and Sentinel-3 provide invaluable data for measuring and monitoring ice sheet elevation change and any associated contributions to sea level. To capitalise fully on the immense value of satellite altimetry, the uncertainty associated with its measurements must be considered. Despite this, there is currently no standardised approach towards estimating uncertainty nor is there a method to assess how well existing uncertainties perform. Karla, and colleagues from Lancaster University, University College London and Earthwave Ltd., have produced the first framework for evaluating methods of uncertainty generation to find that uncertainties based on the complexity of the landscape as well as the quality of the waveform itself are most robust. The production of reliable uncertainties in this way is important because failing to incorporate uncertainties into downstream applications of satellite altimetry, such as in ice sheet models, can result in unconstrained estimates of ice mass balance, and ultimately, inaccurate predictions of global sea level change. Satellite altimetry provides us with crucial data on the Cryosphere. Continuing to refine and improve the way we process that data, including identifying and formalising how we deal with uncertainties, is integral to ensuring the effective use of satellite altimetry data. As the Earth warms, and ice melts, this data will help us plan for, and adapt to, the impacts of a changing climate. Find out more by reading the abstract and attending her presentation online or in-person at EGU26. This work is also available as a preprint in The Cryosphere. Feature image credit: ESA Header image credit: Professor Alison Banwell
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 07/05/2026
Tomorrow afternoon (Friday) at #EGU26 🛰️ Dr Karla Boxall (Lancaster University) will present on a framework for evaluating altimetry uncertainty estimates. 🖥️ Dr Joe Phillips (Lancaster University) on extracting swath elevation information using probabilistic deep learning. Links in comments 👇
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Reposted by UK Centre for Polar Observation and Modelling
UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 06/05/2026
Coming up tomorrow (Thursday) at #EGU26 CPOM science highlights for Thursday include posters from Emily Glen and Diego Moral Pombo (Lancaster University), and Luca Bianchi (Cardiff University) ⭐ CPOM highlights for the week listed here 👇 🔗 cpom.org.uk/cpom-egu-2026/
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 06/05/2026
Coming up tomorrow (Thursday) at #EGU26 CPOM science highlights for Thursday include posters from Emily Glen and Diego Moral Pombo (Lancaster University), and Luca Bianchi (Cardiff University) ⭐ CPOM highlights for the week listed here 👇 🔗 cpom.org.uk/cpom-egu-2026/
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 06/05/2026
🛰️ Coming up on Friday morning at #EGU26, CPOM's Dr Rosemary Willatt will present on progress of the PoSARA concept - a novel satellite instrument concept using polarimetric capability to estimate snow depth on sea ice, land ice and land from space. Read more 👇 🔗 cpom.org.uk/cpom-egu26-b...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 05/05/2026
Coming up tomorrow (Wednesday) at #EGU26 We have a CPOM poster presented by Karla Boxall (Lancaster University) on Cryo-TEMPO, an @esaearth.esa.int CryoSat-2 thematic product over land ice! If you're at the conference, do have a chat with Karla and find out more about Cryo-TEMPO🛰️
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Reposted by UK Centre for Polar Observation and Modelling
UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 04/05/2026
We hope everyone is enjoying the first day of #EGU26! We are really enjoying all the great photos 😃 🔬A heads up for tomorrow we have CPOM PhD Researcher Ben Graves (@kingscollegelondon.bsky.social) presenting on isotopic analysis of Himalayan meltwater 👇 🔗 cpom.org.uk/cpomegu26-bl...
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UK Centre for Polar Observation and Modelling @cpom-uk.bsky.social · 04/05/2026
And here's a reminder of CPOM highlights for this week: cpom.org.uk/cpom-egu-2026/
cpom.org.uk
CPOM @EGU 2026 - CPOM
Here are some CPOM highlight talks and posts featured at the EGU General Assembly in Vienna (3 – 8 May 2026). Monday 4 May Presentations Lauren Gregoire presenting Northern Hemisphere ice-sheet dynamics during the last two deglaciations: responses to gradual and abrupt climate changes – 14:05–14:15 (CEST),  Room L2. Yiliang Ma presenting The Role of […]
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