Too cold, too saturated? Evaluating climate models at the gateway to the Arctic

Abstract. The Arctic wintertime energy and moisture budgets are largely controlled by the advection of warm, moist air masses from lower latitudes; the cooling and drying of these air masses inside the Arctic; and the export of cold, dry air masses. Climate models have substantial difficulties in representing key processes in these air-mass transformations, including turbulence under stable stratification and mixed-phase cloud processes. Here, we use radiosonde profiles of temperature and moisture and surface radiation observations from Ny-Ålesund, Svalbard (1993–2014), to assess the properties of air masses being imported into and exported from the central Arctic in CMIP6 climate models. In the free troposphere, models tend to be cold-biased, especially for the coldest temperatures, and relative humidity in most models is closer to saturation with respect to ice than what is observed. In the analysed models, supersaturation with respect to ice tends to be better represented with two-moment microphysics. The overall distribution of column-integrated precipitable water in models matches well with observations. Cold and dry biases are stronger in air masses being exported from the Arctic than those entering the Arctic. This suggests that the previously reported cold bias in the Arctic in CMIP6 models is probably due to errors in local thermodynamic processes.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-03-17
DOI
https://doi.org/10.5194/acp-25-3269-2025
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Too cold, too saturated? Evaluating climate models at the gateway to the Arctic

Felix Pithan, Ann Kristin Naumann, Marion Maturilli
Atmospheric chemistry and physics
Climate variability and models
article

Too cold, too saturated? Evaluating climate models at the gateway to the Arctic

Felix Pithan, Ann Kristin Naumann, Marion Maturilli
article en

Abstract

Abstract. The Arctic wintertime energy and moisture budgets are largely controlled by the advection of warm, moist air masses from lower latitudes; the cooling and drying of these air masses inside the Arctic; and the export of cold, dry air masses. Climate models have substantial difficulties in representing key processes in these air-mass transformations, including turbulence under stable stratification and mixed-phase cloud processes. Here, we use radiosonde profiles of temperature and moisture and surface radiation observations from Ny-Ålesund, Svalbard (1993–2014), to assess the properties of air masses being imported into and exported from the central Arctic in CMIP6 climate models. In the free troposphere, models tend to be cold-biased, especially for the coldest temperatures, and relative humidity in most models is closer to saturation with respect to ice than what is observed. In the analysed models, supersaturation with respect to ice tends to be better represented with two-moment microphysics. The overall distribution of column-integrated precipitable water in models matches well with observations. Cold and dry biases are stronger in air masses being exported from the Arctic than those entering the Arctic. This suggests that the previously reported cold bias in the Arctic in CMIP6 models is probably due to errors in local thermodynamic processes.

Atmospheric chemistry and physicsVol. 25(5)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Universität Hamburg (DE), Max Planck Institute for Meteorology (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, Horizon 2020, H2020 European Research Council
Openalex Percentile: Top 94%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.