Verification of the regional atmospheric model CCLM v5.0 with conventional data and lidar measurements in Antarctica
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Published:2020-04-06
Issue:4
Volume:13
Page:1809-1825
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Zentek RolfORCID, Heinemann GüntherORCID
Abstract
Abstract. The nonhydrostatic regional climate model CCLM was used for
a long-term hindcast run (2002–2016) for the Weddell Sea region with
resolutions of 15 and 5 km and two different turbulence
parametrizations. CCLM was nested in ERA-Interim data and used in
forecast mode (suite of consecutive 30 h long simulations with
6 h spin-up). We prescribed the sea ice concentration from
satellite data and used a thermodynamic sea ice model. The
performance of the model was evaluated in terms of temperature and
wind using data from Antarctic stations, automatic weather stations (AWSs), an
operational forecast model and reanalyses data, and lidar wind
profiles. For the reference run we found a warm bias for the
near-surface temperature over the Antarctic Plateau. This bias was
removed in the second run by adjusting the turbulence parametrization,
which results in a more realistic representation of the surface
inversion over the plateau but resulted in a negative bias for some
coastal regions. A comparison with measurements over the sea ice of
the Weddell Sea by three AWS buoys for 1 year showed small biases
for temperature around ±1 K and for wind speed of
1 m s−1. Comparisons of radio soundings showed a model bias
around 0 and a RMSE of 1–2 K for temperature and
3–4 m s−1 for wind speed. The comparison of CCLM
simulations at resolutions down to 1 km with wind data from
Doppler lidar measurements during December 2015 and January 2016
yielded almost no bias in wind speed and a RMSE of ca. 2 m s−1. Overall CCLM shows a good representation of temperature and
wind for the Weddell Sea region. Based on these encouraging results,
CCLM at high resolution will be used for the investigation of the
regional climate in the Antarctic and atmosphere–ice–ocean
interactions processes in a forthcoming study.
Funder
Deutsche Forschungsgemeinschaft
Publisher
Copernicus GmbH
Reference48 articles.
1. Akperov, M., Rinke, A., Mokhov, I. I., Matthes, H., Semenov, V. A., Adakudlu, M., Cassano, J., Christensen, J. H., Dembitskaya, M. A., Dethloff, K.,
Fettweis, X., Glisan, J., Gutjahr, O., Heinemann, G., Koenigk, T., Koldunov, N. V., Laprise, R., Mottram, R., Nikiéma, O., Scinocca, J. F., Sein, D.,
Sobolowski, S., Winger, K., and Zhang, W.: Cyclone Activity in the Arctic
From an Ensemble of Regional Climate Models (Arctic CORDEX), J.
Geophys. Res.-Atmos., 123, 2537–2554,
https://doi.org/10.1002/2017JD027703, 2018. a 2. Bauer, M., Schröder, D., Heinemann, G., Willmes, S., and Ebner, L.:
Quantifying polynya ice production in the Laptev Sea with the COSMO model,
Polar Res., 32, 20922, https://doi.org/10.3402/polar.v32i0.20922, 2013. a 3. Bromwich, D. H., Monaghan, A. J., Manning, K. W., and Powers, J. G.: Real-Time
Forecasting for the Antarctic: An Evaluation of the Antarctic Mesoscale
Prediction System (AMPS), Mon. Weather Rev., 133, 579–603,
https://doi.org/10.1175/mwr-2881.1, 2005. a, b 4. Cape, M. R., Vernet, M., Skvarca, P., Marinsek, S., Scambos, T., and Domack, E.: Foehn winds link climate-driven warming to ice shelf evolution in
Antarctica, J. Geophys. Res.-Atmos., 120,
11037–11057, https://doi.org/10.1002/2015JD023465, 2015. a 5. Cerenzia, I., Tampieri, F., and Stefania Tesini, M.: Diagnosis of Turbulence
Schema in Stable Atmospheric Conditions and Sensitivity Tests, COSMO
Newslett., 14, 28–36, 2014. a, b
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