PRE-MELT: Preconditioning the trigger for rapid Arctic ice melt

Lead Research Organisation: University College London
Department Name: Earth Sciences

Abstract

The oldest, thickest sea ice in the 'last ice area' of the Arctic - a region thought to be most resilient to climate warming - unexpectedly broke up twice in the past year. Our current theories assume that the end-of-summer ice-covered area will steadily retreat into the Central Arctic Basin as global warming accelerates over coming decades. However, the dynamic break-up events witnessed in 2018 challenge this prevailing view. Here we hypothesise that a weaker, increasingly mobile Central Arctic ice pack is now susceptible to dynamic episodes of fragmentation which can precondition the ice for rapid summer melt. This mechanism of dynamic seasonal preconditioning is unaccounted for in global climate models, so our best current projections are overlooking the possibility for rapid disintegration of the Arctic's last ice area.

Our team has demonstrated that seasonal preconditioning is already responsible for the neighbouring Beaufort Sea becoming ice-free twice in the past five years. Even ten years ago this region contained thick perennial sea ice, mirroring the Central Arctic Ocean, but it has now transitioned to a marginal Arctic sea. Could the processes responsible for the decline of the Beaufort Sea ice pack start to manifest themselves in the Central Arctic? Currently, a shortfall in satellite observations of the Arctic pack ice in summer prevents us from testing our hypothesis. We desperately require pan-Arctic observations of ice melting rates, but so far satellite observations of sea ice thickness are only available during winter months. Our project will therefore deliver the first measurements of Arctic sea ice thickness during summer months, from twin satellites: ESA's Cryosat-2 & NASA's ICESat-2. We have designed a new classification algorithm for separating ice and ocean radar altimeter echoes, regardless of surface melting state, providing the breakthrough required to fill the existing summer observation 'gap'. Exploiting the recent launch of multiple SAR missions for polar reconnaissance, our project will integrate information on ice-pack ablation, motion and deformation to generate a unique year-round sea ice volume budget in the High Arctic.

This record will inform high-resolution ice dynamics simulations, performed with a suite of state-of-the-art sea ice models from stand alone (CICE), ocean-sea ice (NEMO/CICE), to fully coupled regional high resolution (RASM), and global coarser resolution (HadGEM) models, all now equipped with the anisotropic (EAP) sea ice rheology developed by our team. Using the regional and stand-alone models we will analyse the role of mechanics in this keystone region north of Greenland to scrutinise the coupling and preconditioning of winter breakup events - such as those witnessed in 2018 - to summer melting rates. Using the coupled models, we will quantify the likelihood of the Arctic's last ice area breaking up much sooner than expected due to oceanic and atmospheric feedbacks and how this will affect the flushing of ice and freshwater into the North Atlantic.

Planned Impact

We anticipate that four broad categories of user group will benefit from the results and activities of the project, in addition to scientists working directly on Arctic sea ice, climate and oceanography. We aim to particularly engage with UK and Canadian stakeholders based on the locations and experience of the project team.

(i) Climate change policy community
Our novel sea ice thickness budget analysis combining model and observation sea ice thickness budget in the Central Arctic Ocean will provide an objective diagnose of the errors in climate models contributing to IPCC reports. The conclusions of this project will therefore be of critical importance to bodies charged with summarizing (IPCC, Met Office) and directing (NERC, European Space Agency) climate science. Our team's research has previously been represented in NGO climate change reviews (such as the recent AMAP: SWIPA assessment, but also IPCC AR5 reports and ArcticNet Hudson Bay IRIS), and in Davos at the Arctic Science Forum.

(ii) Marine transportation industry
The Northeast and Northwest Arctic passages have been sea ice-free for a longer summer season in many recent years, providing a quicker cheaper alternative to traditional shipping routes between Europe and Asia. Tourist cruise ships, such as the Crystal Serenity in 2016, are also beginning to navigate Arctic waterways during summer, and ship traffic through the Canadian Arctic has more than doubled over the past 40 years. We anticipate that our sea ice thickness intialised forecasts could be used to predict least-cost (i.e. viable, lowest risk) routes for both ice-reinforced and non-reinforced ships through Arctic passages, helping to identify zones of high vulnerability to ice hazards. Moreover, these data would be valuable for marine insurance risk & exposure management and for international shipping regulatory authorities, e.g. the International Maritime Organization (IMO), to support polar transportation conventions. In recent years, private industry stakeholders such as this have been an active participant in SIPN and will be able to easily access our data through this platform.

(iii) Oil and gas industry
Anticipated decline in output from existing oil and LPG resources will potentially require the development of nearly 50% new worldwide energy production capacity by 2035. Incidentally, the Arctic is thought to hold 30% of the world's undiscovered gas and 13% of its undiscovered oil (including 84% offshore). Oil and gas companies have begun to perform initial prospecting and drilling tests, for example by Shell in the Chukchi Sea in 2015. However, it is crucial that these operations are only executed in a sustainable way, with particular attention paid to the risk of sea and glacial ice hazards on infrastructure. Our project will inform forecasts of the probability and timing of ice-free zones over oil and gas leasing areas, such as those in the Chukchi Sea, as well as over active British leases in the Norwegian Arctic. Results will be communicated to private sector firms in marine transportation and O&G industries through a dedicated user workshop towards the end of the project.

(iv) General public
In addition to a large media exposure by our team members (radio, TV, newspapers, YouTube), we intend to develop sea ice products that are accessible to beneficiaries at a variety of levels, including primary and secondary school students via our UCL @GeoBus and through SIPN. We will also host with NASA colleagues and IASC fellows a Hackathon on Arctic risks and extremes. The forthcoming upgraded SIPN-2 platform and our CPOM website will be capable of providing straightforward and visually appealing maps of our products, along with links to non-technical web pages explaining how the satellite data are acquired and processed. In addition, we will produce a set of free public-outreach posters, for use in secondary schools, museums, outreach events in the UK, Germany, Canada etc.

Publications

10 25 50
 
Description We have developed a new methodology to distinguish between changes in the total volume of sea ice due to thermodynamic and dynamic effects. In other words we are able for the first time to measure from space the total amount of sea ice that is growing every winter.

We have published the first year-round pan-Arctic sea ice freeboard and sea ice thickness.
Exploitation Route We are in the process of developing a new sea ice thickness product that would have huge impact on data assimilation going towards the future.
Sectors Environment

 
Description Work featured in BBC https://www.bbc.com/news/science-environment-62904939 and has been used by several weather forecast centres (e.g. Met Office) for data assimilation of sea ice thickness to improve their forecasts.
First Year Of Impact 2022
Sector Communities and Social Services/Policy,Environment,Government, Democracy and Justice,Transport
Impact Types Societal,Economic,Policy & public services

 
Description Polar advisory role
Geographic Reach Europe 
Policy Influence Type Membership of a guideline committee
Impact This project will inform selection and implementation of future ESA and European commission satellites (i.e. CRISTAL mission). I was invited as a guest speaker at the European Polar Week to present my recommendations.
URL http://eo4polar.esa.int/
 
Description ESA Polar+ Snow project
Amount € 500,000 (EUR)
Organisation European Space Agency 
Sector Public
Country France
Start 11/2020 
End 10/2022
 
Description SINX'S
Amount € 2,000,000 (EUR)
Organisation European Space Agency 
Sector Public
Country France
Start 06/2022 
End 05/2025
 
Title Optimal Interpolation: CS2S3 daily pan-Arctic radar freeboards 
Description This repository contains a quick-look data set of daily pan-Arctic radar freeboard and uncertainty estimates for the winter 2018-2019 season. These data were generated using the methodology outlined in "A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 (CS2S3) satellite observations", by Gregory et al. 2021. The quick-look product is derived by pre-scribing hyperparameters before generating the predictions (see main article). 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact Implemented in different follow up project. Data used for data assimilation within Met Office 
URL https://zenodo.org/record/5005980#.YixilxPP2MI
 
Title Sea Ice Extent Forecasting 
Description This repository contains Python code to generate probabilistic seasonal forecasts of regional and pan-Arctic September sea ice extent, in line with the Sea Ice Prediction Network's annual calls for submissions (Pan-Arctic and Alaskan seas). Each python script can be executed on the first day of June, July, August, or September each year, where it will subsequently download the relevant data and generate pan-Arctic and Alaska predictions of the following September sea ice extents for the current year. Furthermore, the retrospective forecast scripts can also be executed to generate forecasts over a range of past years (the user will be prompted in the terminal which years are to be forecast). The same scripts for forecasting Antarctic summer (February) sea ice (Pan-Antarctic, Ross and Weddell seas), are also available. The method is based on Complex Networks and Gaussian Process Regression, as outlined in the article by Gregory et al., 2020 
Type Of Material Computer model/algorithm 
Year Produced 2020 
Provided To Others? Yes  
Impact Method implemented in future publications and as part of different project proposal in preparation 
URL https://github.com/William-gregory/SeaIceExtentForecasting
 
Title Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020 
Description This dataset presents biweekly gridded sea ice thickness and uncertainty for the Arctic derived from the European Space Agency's satellite CryoSat-2. An associated 'developer's product' also includes intermediate parameters used or output in the sea ice thickness processing chain. Data are provided as biweekly grids with a resolution of 80 km, mapped onto a Northern Polar Stereographic Grid, covering the Arctic region north of 50 degrees latitude, for all months of the year between October 2010 and July 2020. CryoSat-2 Level 1b Baseline-D observed radar waveforms have been retracked using two different approaches, one for the 'cold season' months of October-April and the second for 'melting season' months of May-September. The cold season retracking algorithm uses a numerical model for the SAR altimeter backscattered echo from snow-covered sea ice presented in Landy et al. (2019), which offers a physical treatment of the effect of ice surface roughness on retracked ice and ocean elevations. The method for optimizing echo model fits to observed CryoSat-2 waveforms, retracking waveforms, classifying returns, and deriving sea ice radar freeboard are detailed in Landy et al. (2020). The melting season retracking algorithm uses the SAMOSA+ analytical echo model with optimization to observed CryoSat-2 waveforms through the SARvatore (SAR Versatile Altimetric Toolkit for Ocean Research and Exploitation) service available through ESA Grid Processing on Demand (GPOD). The method for classifying radar returns and deriving sea ice radar freeboard in the melting season are detailed in Dawson et al. (2022). The melting season sea ice radar freeboards require a correction for an electromagnetic range bias, as described in Landy et al. (In Review). After applying the correction, year-round freeboards are converted to sea ice thickness using auxiliary satellite observations of the sea ice concentration and type, as well as snow depth and density estimates from a Lagrangian snow evolution scheme: SnowModel-LG (Stroeve et al., 2020; Liston et al., 2020). The sea ice thickness uncertainties have been estimated based on methods described in Landy et al. (In Review). NetCDF files contain detailed descriptions of each parameter. Funding was provided by the NERC PRE-MELT grant NE/T000546/1 and the ESA Living Planet Fellowship Arctic-SummIT grant ESA/4000125582/18/I-NS. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact Pathway to impact via data assimilation at the Met Office and via many collaboration with partners internationally 
URL https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01613
 
Description Collaboration with experimental work in Paris 
Organisation Paris Diderot University
Country France 
Sector Academic/University 
PI Contribution I co-supervised a master project with a French colleague in Paris (Michael Berhanu) that led to an abstract submission and a submitted proposal with him as named collaborator. Paper is in preparation.
Collaborator Contribution Set up the experiment in Paris to simulate sea ice in the lab.
Impact Poster submitted to conference http://www.msc.univ-paris-diderot.fr/~berhanu/poster_Berhanu_RNL2023.pdf paper in preparation
Start Year 2020
 
Description ESA funded Polar+ Snow 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution We are coordinating efforts to provide the next generation snow on sea ice products. In turn these will improve sea ice thickness data used in NERC PRE-MELT project
Collaborator Contribution Partners are world experts in radar and laser altimetry
Impact Just started.
Start Year 2020
 
Description Funded NERC grant "The Future of the Arctic" 
Organisation University of Reading
Department Department of Meteorology
Country United Kingdom 
Sector Academic/University 
PI Contribution We proposed a work package on this grant to extend the work performed as part of a previous grant called PRE-MELT
Collaborator Contribution We are performing a sea ice volume budget analysis for the full year-round sea ice thickness product published in Nature in 2022
Impact Not yet
Start Year 2022
 
Description Input for operational navigation of BAS RRS SDA 
Organisation British Antarctic Survey
Country United Kingdom 
Sector Academic/University 
PI Contribution Provided output of this project as input for a code used operationally at BAS
Collaborator Contribution Ingested the data in their code
Impact Ongoing
Start Year 2023
 
Description MOAP UCL / Met Office Academic Partnership (MOAP) 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Academic/University 
PI Contribution UCL / Met Office Academic Partnership (MOAP)
Collaborator Contribution Formal collaboration to strengthen UCL + MO collaborations
Impact A NERC funded CASE studentship
Start Year 2019
 
Description Participation in the Mission Advisory Group for the new Sea surface KInematics Multiscale monitoring (SKIM) satellite mission 
Organisation French Research Institute for the Exploitation of the Sea
Country French Polynesia 
Sector Academic/University 
PI Contribution Collaboration with scientists from Europe
Collaborator Contribution SKIM is an ESA satellite mission (now in phase A, possible launch in 2025) that will measure surface currents and ice drift (within 10 cm/s at 40 km resolution) waves spectra (down to 20 m wavelength) over the whole globe from the Antarctic to 82°N. SKIM is one of the 2 missions pre-selected to become Earth Explorer 9. Final selection in 2019.
Impact This new collaboration could result in a new satellite in orbit with a UK participation via UCL
Start Year 2018
 
Description School outreach - dreamcatcher speaker 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact I presented my life trajectory to a primary school assembly in Croydon (https://www.stcyprians.co.uk/index) and talked about our recent MOSAiC NERC funded project in the Arctic.
Year(s) Of Engagement Activity 2021
 
Description Workshop on remote sensing for the cryosphere in Svalbard (SIOS) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Formal seminar and hands on workshop with AI component applied to remote sensing of the cryosphere
Year(s) Of Engagement Activity 2022
URL https://sios-svalbard.org/AI4Svalbard