Over the last decade, the Greenland Ice Sheet has shown rapid change, characterised by rapid thinning along the margins, accelerating outlet glaciers and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the CCI Programme, described by several Essential Climate Variables (ECVs).
The objective of the Greenland Ice Sheet project is to maximise the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the Sentinel series of satellites.
This project produces data products of the following five ECV parameters, which are important in characterising the Greenland Ice Sheet:
- Surface Elevation Change (SEC) gridded data from radar altimetry.
- Ice Velocity (IV) gridded data from:
- Synthetic aperture radar interferometry and feature tracking.
- Feature tracking applied to Sentinel 2 optical data.
- Gravimetric Mass Balance (GMB) maps and time series.
- Mass-Flow rate Ice Discharge (MFID) time series of the ice sheet.
During the project, a new R&D parameter will be produced:
- Supraglacial Lakes (SGL) in the Sermeq Kujalleq (Jakobshavn) hydrological catchment from optical data.
- Calving Front Location (CFL) of marine-terminating glaciers applying machine learning on optical data. Available for 2019 and 2020.
The production of the following ECV parameter has been suspended:
- Calving Front Location (CFL) time series of marine-terminating glaciers by manual delineation using SAR and optical satellite data. Last time series available is for 2017.
- Grounding Line Location (GLL) time series of marine-terminating glaciers.
All data is made available to the public in a transparent format. We believe that the data sets produced are of great societal importance, particularly due to the connection between ice sheets’ changes and future global sea level changes.
The Need for Ice Sheet Data from Satellites
There is a global interest in understanding the dynamics of ice sheets and their response to climate changes. This need has emerged from a need to understand the consequences of present and future changes of ice sheet mass in order to predict their contribution to the global and regional sea level change (when the ice sheets melts, sea level will drop in vicinity of the ice sheets). One of the uncertainties in predicting future sea level is that the ice sheet flow models have not yet been developed at a sufficient level of detail to take the effects of fast flowing ice streams into account. Furthermore, the physical processes at the base of an ice sheet and the relation to basal hydrology has not yet been fully addressed and implemented into models. The issue of basal conditions and their relation to fast flowing ice streams is a critical point in understanding the ice sheet response to global warming.
Numerical models of the ice sheet are inherently complex. Model simulations require large computer resources and the capacity of the computing systems implies constraints on the possible space and time resolution. This leads to the following situation:
- Large-scale ice sheet models are presently running on a lower resolution than available satellite data, e.g. surface elevation and velocity. Thus they are not using the full capacity of satellite based data in validations. These models generally need long time series to understand the effect of large scale changes in climate and precipitation.
- To understand the processes controlling changes in ice flow and outlet glaciers, it is necessary to have access to high-resolution observations. Recently new higher-order models, sometimes nested in lower order models, have been developed to address this issue.
The ice sheet modeling community is generally a diverse and scattered community working with various models of different complexity, different datasets, different resolutions, with focus on different goals. Ice flow modelers have been working independently with individually developed models, but in recent years, community ice flow models are being developed, and research groups are forming around these models. A number of these models are being coupled to climate models, mostly off-line, but progress is made in fully coupled climate and ice sheet model systems. The purpose of these coupled modeling efforts has mainly been to investigate the evolution of the ice sheets in the past or into the future, in particular to understand the contribution to the global sea level, and secondary to include feedbacks from ice sheets in coupled climate models.
The international research community is relatively un-organized in regards of a formalized program of long term monitoring of the Greenland Ice Sheet (GrIS) changes. In spite of the immediate interest in GrIS mass changes, the reporting of such changes are mainly found in scientific publications, but a few systematic monitoring programs are formalized.
Users of the Ice Sheets Data
Users of the ice_sheets_cci data products can generally be divided into the following groups:
- Ice sheet modelers who are using the ECV parameters to validate and/or initialize their models, e.g. comparing modeled and observed SEC, CFL or GLL, or using the ECV parameters to constrain model parameters, e.g. constrain basal drag and ice viscosity by fitting modeled and observed IV.
- Remote sensing scientists who are deriving volume and mass changes from satellite observations.
- Surface mass balance modelers, who are interpreting satellite observed volume and mass changes, e.g. deriving mass change from observed volume changes by using firn densification models, or comparing observed mass loss with estimates from surface mass balance models based on climate models and observations.
- Climate and Ocean modelers, who are interested in the ice sheet component of the climate system and its interactions with other parts of the climate system, e.g. freshwater fluxes from ice sheet on shorter timescales or orographic forcing of wind patterns on longer timescales.
- Authorities and organizations who are interested in monitoring of the ice sheets for political or practical decisions, for example hydro-power plant planning and maintenance, and information on iceberg production from calving glaciers, of specific interest to future oil- and gas exploration off Greenland.
The direct users of the ice sheets data products are thus a relatively broad group covering several scientific communities. They are working with different approaches and at different levels. However, for all groups it is often a significant problem to collect relevant data from various sources and to transform them into a standard format.