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The winter central Arctic surface energy budget

A model evaluation using observations from the MosaiC campaign

Bibliographic Data

ID19569190
AuthorsAmy Solomon (0000-0002-8966-6727, Cooperative Institute for Research in Environmental Sciences), Matthew D Shupe (0000-0002-0973-9982, Cooperative Institute for Research in Environmental Sciences), Gunilla Svensson (0000-0001-9074-7623, Stockholm University), Neil P Barton (0000-0001-7603-9532, NOAA National Centers for Environmental Prediction), Yurii Batrak (0000-0003-0756-2295, Norwegian Meteorological Institute), Eric Bazile (0000-0001-8120-9970, Centre National de la Recherche Scientifique), Jonathan J Day (0000-0002-3750-649X, European Centre for Medium-Range Weather Forecasts), James D Doyle (0000-0003-2941-2132), Helmut P Frank (8Deutscher Wetterdienst, Research and Development, Offenbach/Main, Germany), Helmut Frank (Deutscher Wetterdienst), Sarah Keeley (0000-0002-8046-765X, European Centre for Medium-Range Weather Forecasts), Teresa Remes (0000-0002-6421-859X, Norwegian Meteorological Institute), M A Tolstykh (0000-0002-6908-1211, Hydrometeorological Research Centre of Russian Federation), Mikhail Tolstykh
Year2023
Volume11
Issue1
Publication date2023-04-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueElementa Science of the Anthropocene (JOURNAL)
Journal identifiersISSN: 2325-1026 • E-ISSN: 2325-1026
PublisherUniversity of California Press (PUBLISHER • US)
DOI10.1525/elementa.2022.00104
OpenAlexW4366453376
LanguageEN
Citations received9
References cited33

This study evaluates the simulation of wintertime (15 October, 2019, to 15 March, 2020) statistics of the central Arctic near-surface atmosphere and surface energy budget observed during the MOSAiC campaign with short-term forecasts from 7 state-of-the-art operational and experimental forecast systems. Five of these systems are fully coupled ocean-sea ice-atmosphere models. Forecast systems need to simultaneously simulate the impact of radiative effects, turbulence, and precipitation processes on the surface energy budget and near-surface atmospheric conditions in order to produce useful forecasts of the Arctic system. This study focuses on processes unique to the Arctic, such as, the representation of liquid-bearing clouds at cold temperatures and the representation of a persistent stable boundary layer. It is found that contemporary models still struggle to maintain liquid water in clouds at cold temperatures. Given the simple balance between net longwave radiation, sensible heat flux, and conductive ground flux in the wintertime Arctic surface energy balance, a bias in one of these components manifests as a compensating bias in other terms. This study highlights the different manifestations of model bias and the potential implications on other terms. Three general types of challenges are found within the models evaluated: representing the radiative impact of clouds, representing the interaction of atmospheric heat fluxes with sub-surface fluxes (i.e., snow and ice properties), and representing the relationship between stability and turbulent heat fluxes

Arctic · Atmospheric sciences · Climatology · Earth's energy budget · Energy balance · Energy budget · Geography · Heat flux · Heat transfer · Longwave · Mechanics · Meteorology · Physics · Precipitation · Radiative flux · Radiative transfer · Sea ice · Snow · Arctic and Antarctic ice dynamics · Atmospheric and Environmental Gas Dynamics · Climate variability and models · Environmental Science · Geology · Radiation

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Unique citing works9
Citations per year3
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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