The importance of cloud phase when assessing surface melting in an offline coupled firn model over Ross Ice shelf, West Antarctica [in review]

• Main Authors: Hansen, Nicolaj, Orr, Andrew, Zou, Xun, Boberg, Fredrik, Bracegirdle, Thomas J., Gilbert, Ella, Langen, Peter L., Lazzara, Matthew A., Mottram, Ruth, Phillips, Tony, Price, Ruth, Simonsen, Sebastian B., Webster, Stuart
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: European Geosciences Union 2023
• Subjects: West Antarctica; Ross Ice Shelf; Antarc*; Antarctica; Ice Shelf; The Cryosphere; The Cryosphere Discussions
• Online Access: http://nora.nerc.ac.uk/id/eprint/536178/; https://tc.copernicus.org/preprints/tc-2023-145/

The Ross Ice Shelf, West Antarctica, experienced an extensive melt event in January 2016. We examine the representation of this event by the HIRHAM5 and MetUM high-resolution regional atmospheric models, as well as a sophisticated offline coupled firn model forced with their outputs. The model results are compared with satellite-based estimates of melt days. The firn model estimates of the number of melt days are in good agreement with the observations over the eastern and central sectors of the ice shelf, while the HIRHAM5 and MetUM estimates based on their own surface schemes are considerably underestimated, possibly due to deficiencies in these schemes and an absence of spin-up. However, the firn model simulates sustained melting over the western sector of the ice shelf, in disagreement with the observations that show this region as being melt-free. This is attributed to deficiencies in the HIRHAM5 and MetUM output, and particularly a likely overestimation of nighttime net surface radiative flux. This occurs in response to an increase in nighttime downwelling longwave flux from around 180–200 W m-2 to 280 W m-2 over the course of a few days, leading to an excessive amount of energy at the surface available for melt. Satellite-based observations show that this change coincides with a transition from clear-sky conditions to clouds containing both liquid-water and ice-water. The models capture the initial clear-sky conditions but seemingly struggle to correctly represent the ice-to-liquid mass partitioning associated with the cloudy conditions, which we suggest is responsible for the radiative flux errors.