New Doctoral Training Programme will tackle key polar science questions with a reduced carbon footprint

New Doctoral Training Programme will tackle key polar science questions with a reduced carbon footprint

The Net Zero Polar Science (NZPS) Doctoral Training Programme (DTP) has welcomed its first cohort of PhD researchers, marking the launch of a new UK-based multi-institute initiative to develop the next generation of scientists to deliver high-impact environmental science with a reduced carbon footprint.

NZPS-DTP, led by the UK Centre for Polar Observation and Modelling (CPOM) based at Northumbria University, with Lancaster University, the University of Leeds, the University of Reading, and the British Antarctic Survey (BAS) as core partners, addresses grand polar science challenges more sustainably, involving the evaluation, innovative use, and creation of low-carbon technological solutions across all areas of environmental science. The programme aims to equip its students with expertise urgently needed to plug the UK’s green skills gaps in academia, industry, and government.

The programme is primarily funded by a Natural Environment Research Council (NERC) Doctoral Focal Award which is contributing £2.6 million into the programme, with co-funding from partner universities and industrial partners, and aims to recruit 49 doctoral researchers over three annual cohorts.

Despite major advances, polar science has significant knowledge gaps owing to the difficulty of surveying remote environments, and these gaps limit our ability to make reliable future projections of the changing environment.

“Since the satellite era began, our understanding of the polar regions has improved considerably. However, there are still many uncertainties, and Earth System processes we don’t fully understand. There’s still lots of work needed to fully understand how these regions are changing and what this might mean for the rest of the planet. It is always a concern for environmental scientists that we do as little damage as possible to the regions we are studying. This programme not only focuses on the research, but on reducing the impacts of the science to ensure we are not contributing to the problem of climate change. This involves using new technologies such as drones, machine learning, advanced modelling and digital twins, but also re-using data we already have and rethinking how we power our science using renewable energy sources,” said Dr Sammie Buzzard, NZPS Leadership Team, Northumbria University.

NZPS aims to improve understanding of lesser understood aspects of the Earth System, including submarine cavities, ice sheet grounding lines, ice cliff failure, ice shelf fracture, ice rheology, mountain glacier runoff, sea ice thickness, polar ocean circulation, atmospheric rivers, primary productivity, and habitat change, and addresses questions which we need to answer in order to produce more accurate projections of future environmental scenarios.

The solutions we need for these knowledge gaps must be sustainable and low carbon as the United Kingdom works to reach Net Zero by 2050.

“It is estimated that the UK has a shortfall of aroundv200,000 workers to meet the UK Net Zero target. As we work towards the UK’s Net Zero target of 2050 the UK economy needs STEM graduates trained in green skills. This programme aims to help fill that skills gap, while also ensuring crucial science questions are answered. We ensure that all of our students have the opportunity to work with industrial partners and our programme is tailored to equip them with the skills they need for careers in a range of sectors,” said Dr Charlotte Royle, NZPS Leadership Team, Northumbria University.

13 PhD researchers make up the first cohort, beginning their studies in early October 2026 and focusing on a range of new and emerging technologies, including monitoring of the polar regions using drones, autonomous vehicles, multi-frequency satellite remote sensing, wildlife monitoring, machine learning, digital twins and using advanced modelling (simulations).

Each PhD researcher will take up a funded work placement (typically three months) with one of the programme’s 42 industry partners or external organisations, focusing on a key challenge faced by that partner. This allows researchers to apply their expertise in a real-world setting, build networks, and prepare for a career beyond academia. Potential industry and external partners include organisations such as Limosaero, a UK-based aerospace company combining R&D consultancy in drones with the in-house design, build and operation of a solar-powered uncrewed aircraft, which it offers as a data-collection service.

“As a company developing solar-powered UAVs with extended flight time and range, we see a strong synergy with the NZPS-DTP. Drones offer a cheap, lightweight, on demand complement to satellite data, making them invaluable for building our understanding of pressing environmental issues. We’re excited to support a doctoral programme dedicated to gathering crucial scientific data sustainably, using sustainable technologies to help answer some of environmental science’s most pressing questions,” said Dr Hilary Costello, Limosaero Co-Founder.

NZPS sits within Northumbria’s wider commitment to environmental leadership. The University is the only UK institution leading doctoral training programmes funded by both the Engineering and Physical Sciences Research Council (EPSRC) and NERC with an explicit net-zero mandate. Alongside NZPS, Northumbria leads the £11 million Renewable Energy Northeast Universities (ReNU+) centre for doctoral training, together training over 160 researchers in renewable energy, life cycle thinking, circular economy principles and sustainable environmental science. Partners across both programmes include Siemens, Airbus, Johnson Matthey and the Offshore Renewable Energy Catapult.

Media announcement first published on the Northumbria University website (12.10.26). 

Image credit: Lightweight drone collecting data over a frozen fjord in Norway. Marlena Holloway (Northumbria University)

Half a century of ice loss in Northwest Greenland, reconciled across three methods

Research led by CPOM Co-Director for Science, Dr Inès Otosaka (Northumbria University), and published this week in JGR Earth Surface, has produced a 52-year record of ice sheet mass change in Northwest Greenland.

The study compares the input-output method, satellite gravimetry, and satellite altimetry when producing mass balance estimates for 74 glaciers in Northwest Greenland.

Key findings of the study.

  1. The three methods agreed closely, except for two glacier catchment areas.
  2. This region has lost ice year on year since 1997.
  3. Ice loss was at its most rapid in the 2010s, five times faster than in the 1970s.
  4. Since 2020, the rate of ice loss has slowed by 63%.
  5. Ice loss was six times faster during the 2010s than in the 1970s.

The close agreement of these methods builds confidence in satellite estimates of ice sheet mass balance at a local scale and in their use to calibrate model simulations of regional change. This understanding is important in ensuring accurate sea level rise projections.

Read the research: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JF008605

Authors: Inès N. Otosaka, Andrew Shepherd, Andreas Groh, Thorben Döhne, Xavier Fettweis, Brice Noël

Introducing the new CPOM Land Ice Portal

Animation: A visualization of the Land Ice Portal, credit: CPOM

Since the launch of Earth Observation satellite missions, the information we have on ice on Earth has taken a significant leap forward. We can now monitor Earth’s ice without having to go to the poles, but despite this incredible step forward in technology, it is still challenging for scientists to process and interpret the data we acquire from satellite missions.

CPOM’s new land ice portal provides a renewed and improved public access visualization tool for CPOM’s ice sheet monitoring products.

Currently covering Antarctica, with Greenland due to be added shortly, it monitors mass and surface elevation change of the ice sheets, derived from European radar altimetry missions. The data currently spans 1995 to the present, drawing on three European Space Agency (ESA) missions: ERS-2, Envisat, and CryoSat-2, with NASA’s ICESat-2 used for validation purposes.

Processing raw altimetry data is a complex task that CPOM has been developing expertise in for over 20 years. Creating accessible portals saves users significant time and effort by providing high-level elevation and mass change products needed for their research.

The portal supports:

Ice sheet mass balance & sea-level assessment

Elevation-change data underpins the periodic community mass-balance reconciliation exercises (IMBIE), which combine altimetry, gravimetry, and input-output method estimates into the data used in IPCC assessments.

Model initialisation and validation dynamical ice sheet models

BISICLES (used in the UK Earth System Model) and the ISMIP6 model intercomparison use observed elevation/mass trends as boundary conditions and validation targets for future sea-level projections.

Regional/basin studies of specific dynamic imbalance such as Pine Island, Thwaites grounding-line retreat and key areas of Antarctic research.

The portal is designed with enhanced accessibility for users in mind, and offers a quick, straightforward data download function covering 1995–2026, in multiple formats, including uncertainty estimates.

The portal offers two main modes of visualization:

  1. Maps showing surface elevation and mass change across the ice sheets.
  2. Time series of change for each glaciological drainage basin.

Antarctica is divided into glaciological basins using established polygon definitions developed by various research groups, including critical areas like Pine Island and Thwaites Glacier in West Antarctica, where the majority of mass loss, and therefore sea level contribution, is occurring. Users can view time series for individual basins, for West/East Antarctica and the Antarctic Peninsula as regions, and for Antarctica as a whole.

What’s New Compared to the Previous Portal?

  • Combined mass and elevation change: for the first time, both are available on the same portal (previously only surface elevation change was included). Mass change is particularly important for understanding sea level impacts and deriving it from elevation data involves complex processing.
  • CF compliance: products are now fully compliant with the Climate and Forecasting metadata standard, making the data easier to use.
  • Cumulative change products: previously only rates of change were provided; now time series of cumulative change is available too, giving users the flexibility to derive their own trends over their period of interest.
  • Clickable basin time series: a new interactive feature.
  • Cumulative change animations: previously produced in isolated instances, now integrated into a single portal for the first time.

Why Continued Maintenance Matters

Maintaining and improving the portal is an ongoing necessity for several reasons:

  1. Contemporary observations: the portal is frequently updated with the latest observations, so users get up-to-date information about the health of the ice sheets.
  2. Evolving input data: the space agencies continuously update and revise the raw altimetry data, so the processing pipeline must adapt accordingly.
  3. Auxiliary data models: processing relies on auxiliary inputs like firn models (used to account for varying snow density across the ice sheet and how it changes over time), which are also updated regularly and are essential for converting elevation change into mass change.
  4. Mission transitions: satellite missions themselves change over time. CryoSat-2 is now well beyond its expected operational lifetime, and its successor, CRISTAL, remains on schedule for launch around 2027. New missions bring different data formats and technologies, requiring updated processing methods.
  5. Cross-calibration: time series from different missions must be continuously cross-calibrated to ensure consistency, which is an ongoing process as new missions come online.

A portal for scientists and policymakers

Turning raw altimetry into elevation and mass change requires decades of expertise due to the need for waveform retracking, cross-calibration between missions, firn/SMB corrections, conversion to mass etc., so without a user-facing portal that expertise doesn’t reach most of the community.

Having one standardised, CF-compliant, version-controlled product means results across research groups are comparable and this makes exercises like the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE) possible.

The portal not only supports users with visualized and downloadable data for their region of interest, making it comparable to their own data and helps initialise ice sheet models used for sea level projects, but it is also useful for policymakers, who can immediately see the scale of ice mass loss from Antarctica and its implications for global sea levels, with time series making long terms trends clear.

Global temperatures are projected to continue to break records in the coming years according to the WMO. The impact on the polar regions, and the knock-on effect of sea level rise and changes in global weather patterns remain key questions in environmental science. By delivering up-to-date, robust and accessible information on the changing ice sheets, CPOM’s land ice portal supports scientists and policymakers as they seek to answer these questions and plan for a future in a warming climate.

About this work

This work is part of PRESCIENT (UK Polar Research Expertise for Science and Society), a joint National Capability programme between the British Antarctic Survey (BAS) and the UK Centre for Polar Observation and Modelling (CPOM), which supports strategically important long-term measurements and capabilities across four science areas: Polar and Mountain Climate Data Records; Southern Ocean Biological Observatories; Antarctica’s Contribution to Sea-Level Rise; and Space Weather. It also delivers National Public Good by providing independent scientific advice to government, business, and wider society.

Visit the CPOM Land Ice Portal (UCL-hosted website).

NEW CPOM-led IMBIE findings shows speeding glaciers drive half a century of polar ice loss

Video Credit: ESA/NASA IMBIE Initiative. Sea level contribution data from IMBIE; Ice sheet elevation change from satellite altimetry (Centre for Polar Observation and Modelling). In collaboration with Northumbria University, University Grenoble Alpes, TUD Dresden University of Technology, Jet Propulsion Laboratory, University of Washington APL, University at Buffalo University of Liverpool, University of California Irvine, Technical University of Denmark, NOAA Geophysical Fluid Dynamics Laboratory, Canadian Geodetic Survey, Utrecht University, Université Paris-Saclay, Delft University of Technology, European Space Agency, University of Liège, University College London, Bjerknes Centre for Climate Research, University of Edinburgh, Danish Meteorological Institute, University of Arizona, Alfred Wegener Institute, Aarhus University, NASA Goddard Space Flight Center, Lancaster University, Istituto Nazionale di Geofisica e Vulcanologia, isardSAT, University of Texas at Austin, Seoul National University, University of Bologna, Indian Institute of Science, WSL Institute for Snow and Avalanche Research SLF.

The longest satellite record ever assembled shows that Greenland and Antarctica have lost 11.3 trillion tonnes of ice since the 1970s, raising global sea levels by more than 3 centimetres – and that most of the loss has come from glaciers flowing faster into the ocean, not from melting at the surface.

An international team of polar scientists has produced the most complete picture of ice loss from Greenland and Antarctica to date. The Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE) Team combined 42 independent satellite surveys, drawing on 27 satellite missions and reaching back to 1972 for Greenland and 1979 for Antarctica using the early Landsat archive.

The findings show the two ice sheets lost 11,309 billion tonnes of ice between 1979 and 2023, pushing global sea levels up by 31.4 millimetres. Greenland accounts for the larger share and Antarctica contributed 13.3 millimetres. Strikingly, 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.

The polar ice sheets are now responsible for around a quarter of all global sea level rise.

The assessment was led by CPOM Co-Director of Science, Dr Inès Otosaka., Northumbria University, and CPOM Director Professor Andrew Shepherd, Northumbria University, and Dr Tyler Sutterley of the University of Washington Applied Physics Laboratory. It is supported by the European Space Agency (ESA) and the US National Aeronautics and Space Administration (NASA) and is published in the journal Scientific Data.

Dr Inès Otosaka, who led the study, said:

“By reaching back to the 1970s, we can now see how the ice sheets have changed across half a century. More than four-fifths of the ice lost was discharged into the ocean by faster-flowing glaciers, rather than melted at the surface – which tells us the long-term trend is being driven by the dynamic response of the ice sheets to a warming ocean.”

The record shows ice losses climbing steeply from the 1990s onwards. Greenland, close to balance in the 1970s, saw its rate of loss rise from around 60 billion tonnes a year in the 1980s to 264 billion in the 2010s, a decade marked by repeated extreme summer melt events. Antarctica’s rate rose from around 48 billion tonnes a year in the 1980s to 202 billion in the 2010s, with all of its net loss caused by ocean melting of its outlet glaciers; West Antarctica’s ice discharge, led by Pine Island and Thwaites glaciers, has risen in every decade of the record.

The most recent years (2020–2023) brought a temporary slowdown in ice loss. Record snowfall over East Antarctica have offset some of the continent’s glacier losses elsewhere, while a run of milder Greenland summers roughly halved its surface melting. Scientists caution these are short-term fluctuations against a clear long-term trend, not a reversal of ice loss.

The findings also underline the ice sheets’ central role in future sea level rise. Their response to a warming climate is the single largest source of uncertainty in sea level projections: high-end estimates of global sea level rise by 2150 increase by a factor of 2.6 once the risk of ice-sheet instability is accounted for. A continuous, half-century record of how the ice sheets are behaving is therefore vital to anticipating the risks facing the hundreds of millions of people who live in low-lying coastal areas.

Professor Andrew Shepherd, Head of the School of Geography and Natural Science at Northumbria University and founder of IMBIE, said:

“Three centimetres of sea level rise may sound small, but that puts another six to nine million people at risk of coastal flooding and erosion. With the ice sheets set to lose much more ice in the decades ahead, global assessments like IMBIE are vital to protecting communities impacted by climate change.”

Dr Tyler Sutterley, IMBIE co-lead, said:

“The added length of the record, the larger pool of participating teams and our improved ability to assess uncertainties make this the most robust assessment of ice sheet mass balance produced so far. Satellites give us continent-wide, year-on-year evidence of what is happening now, and that is exactly what we need to test models and narrow the uncertainties in projections of future sea level rise.”

Dr Diego Fernández, Head of the Science Section at ESA, said:

“These findings show the fundamental importance of using satellites to monitor the ice sheets and to evaluate the models used to predict the effects of climate change. Sustaining missions such as CryoSat-2 and the Sentinels, and maintaining the long-term ice-sheet climate data record, is critical for the decades ahead.”

Further information

Image credits: Professor Andrew Shepherd, Professor Alison Banwell and Dr Sammie Buzzard (Northumbria University).

New scientific review highlights crucial Antarctic knowledge gaps impacting sea level rise projections.

The review published on Wednesday 2 September 2026 in American Geophysical Union (AGU)’s Reviews of Geophysics, was led by the Scientific Committee on Antarctic Research (SCAR) RINGS Action Group with first author Kenichi Matsuoka (Norwegian Polar Institute) and brings together 80 experts from 17 countries, to examine current understanding Antarctica’s coastal zone and identify key questions we need to answer to improve the way we project future sea level rise.

Over recent decades, scientists have tracked ice loss in Antarctica through satellite missions, but satellites cannot monitor what is happening at bedrock level below the ice, or under ice shelves, where rapid changes are being driven by interactions between the ice and ocean.

The report identifies that gathering more direct observations of coastal bed topography and sub-ice shelf cavities could support more accurate ice sheet modelling.

CPOM’s Professor Andrew Shepherd, Dr Inès Otosaka and Dr Tom Slater (Northumbria University) contributed a chapter on current understanding of ice sheet mass balance.

“Advances in satellite technology allow us to reliably track Antarctic mass change. But satellites cannot see beneath the ice to the bedrock below or to the ocean cavities under the floating ice shelves, both of which ultimately control how fast ice flows into the sea. This gap between what we can measure from space and what ice sheet models need to know about Antarctica’s coast is one of the primary sources of uncertainty in sea level projections. The good news is that this is a solvable problem. Internationally coordinated surveys, exactly like those set out by the RINGS report, can close these knowledge gaps. That matters at a time when tighter Antarctic sea level projections are essential for planning effective coastal adaptation and defence strategies”.

Dr Tom Slater

Research Fellow: Land Ice Earth Observation CPOM/Northumbria University

The authors of the report call for international coordination of Antarctic coastal surveys to ensure the collection of consistent and comprehensive data to ensure we can continue to improve our projections on sea level rise.

More information

Feature image credit: Professor Andrew Shepherd

Greenland Ice-Sheet-wide slush mapped for the first time using Machine Learning

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:

  • Across the nine-year record, slush covered an average seasonal area of around 48,100 km², or 2.8% of the Greenland Ice Sheet.
  • Slush extent varied strongly between years, from around 18,700 km² (1.1%) in the low-melt year of 2018 to 88,500 km² (5.1%) in the high-melt year of 2019.
  • In 2019 (the highest melt year in the record), slush covered around nine times the area of previously reported supraglacial lakes, channels and water-filled crevasses combin
  • Slush was most extensive in southwestern and northern Greenland, and most persistent in the north and northeast.
  • During intense melt years, slush also spread farther inland and to higher elevations, reaching as far as 170 km inland in 2019.
  • Slush extent generally increased with snowmelt, while slush was more likely to occur where spring melt was greater and the firn had less capacity to store meltwater.

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)

Ground truth at -20°C: A day in the life on the CEMSIE campaign

“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 provides open-access data to support understanding and mitigation planning of the effects of climate change.

The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) mission is due to be launched in 2027, equipped with a dual-frequency Interferometric Radar altimeter for Ice and Snow (IRIS) and a passive microwave radiometer, satellite instruments similar to the in-situ devices used by Alicia and the other researchers. This data can be compared to current ice EO missions, CryoSat-2, Sentinel-3 and ICESat-2 and inform instrument design with CRISTAL.

Alicia’s day-in-the-life film offers a window into what ground truth looks like in practice – very long days, keeping instruments running in sub-zero temperatures, and carefully recording data before the next task begins. For the early career researchers, the campaign delivers on three fronts: rigorous contributions to pre-launch validation for future space missions, invaluable field data to support their own research, and networking with international colleagues in a unique environment.

Most importantly, the campaign will mean more accurate retrievals and increasingly robust assessments of sea ice, and better-informed planning for future ice behaviour in a warming planet.

Find out more about the CEMSIE campaign on the ESA website.

Funding note:

Alicia Fallows is based at UCL in the Department of Earth Sciences, and was supported to attend the CEMSIE fieldwork campaign by Julienne Stroeve and CEMSIE. Her PhD is funded by the London NERC DTP.

The CEMSIE campaign is funded by the European Space Agency SUPFIX-Polar funding call.

With thanks to the Canadian High Arctic Research Station (CHARS) facilities and support.

Professor Danny Feltham receives the IGS Seligman Crystal award

We are delighted to announce that Professor Daniel Feltham (University of Reading), CPOM Principal Investigator: Sea Ice Modelling, has been awarded the Seligman Crystal by the International Glaciological Society (IGS).

The Seligman Crystal is awarded to a single person or a collaborative group/team that has made exceptional scientific contributions to glaciology, defined as any snow and/or ice studies.

The award recognises Professor Feltham’s pioneering contributions to sea ice physics, from the mechanics of how ice breaks, drifts, and melts, to the fluid dynamics of melt ponds and their role in accelerating ice loss. His work enhancing the development of the CICE model (the world’s most widely used sea ice model) has ensured the most recent physical discoveries have been incorporated into the code used by the IPCC and national weather services.

Petra Heil, the Chair of the IGS Awards Committee, stated in the citation.

“Professor Feltham’s extensive body of work and his dedication to scientific excellence have made him a towering figure in cryospheric physics. His innovation in applying mathematical rigour to the complex, multi-scale problems of sea ice has transformed how we understand and predict the future of the polar regions.“

You can read the full citation on the IGS website.

CPOM@EGU26 Blog – How machine learning has allowed scientists from Lancaster University to extract more surface elevation information from satellite radar altimetry waveforms.

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

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

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