Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Glacier parameterization in SLAV numerical weather prediction model. / Fadeev, Rostislav Yu; Alipova, Kseniya A.; Koshkina, Anna S. и др.
в: Russian Journal of Numerical Analysis and Mathematical Modelling, Том 37, № 4, 01.08.2022, стр. 189-201.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Glacier parameterization in SLAV numerical weather prediction model
AU - Fadeev, Rostislav Yu
AU - Alipova, Kseniya A.
AU - Koshkina, Anna S.
AU - Lapin, Timofey E.
AU - Ozerova, Nadezhda A.
AU - Pereladova, Alina E.
AU - Sakhno, Andrey V.
AU - Tolstykh, Mikhail A.
N1 - Publisher Copyright: © 2022 Walter de Gruyter GmbH, Berlin/Boston.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - In the present paper, we describe a one-dimensional glacier parameterization for use in the numerical weather prediction models. The proposed scheme is implemented into the global atmospheric model SLAV. To avoid inconsistency of surface temperature and turbulent heat fluxes in the lower troposphere, glacier parameterization has been iteratively coupled with both planetary boundary layer and land surface schemes. First results from numerical experiments with the SLAV model show that the introduction of a simplified description of the glacier heat capacity can significantly improve the 2-meter temperature long-range weather forecast skill.
AB - In the present paper, we describe a one-dimensional glacier parameterization for use in the numerical weather prediction models. The proposed scheme is implemented into the global atmospheric model SLAV. To avoid inconsistency of surface temperature and turbulent heat fluxes in the lower troposphere, glacier parameterization has been iteratively coupled with both planetary boundary layer and land surface schemes. First results from numerical experiments with the SLAV model show that the introduction of a simplified description of the glacier heat capacity can significantly improve the 2-meter temperature long-range weather forecast skill.
KW - Glacier parameterization
KW - long-range weather forecast
KW - numerical weather prediction
KW - parallel computations
UR - http://www.scopus.com/inward/record.url?scp=85137685914&partnerID=8YFLogxK
U2 - 10.1515/rnam-2022-0016
DO - 10.1515/rnam-2022-0016
M3 - Article
AN - SCOPUS:85137685914
VL - 37
SP - 189
EP - 201
JO - Russian Journal of Numerical Analysis and Mathematical Modelling
JF - Russian Journal of Numerical Analysis and Mathematical Modelling
SN - 0927-6467
IS - 4
ER -
ID: 38058831