Modification and verification of soil-snow module of INM RAS climate model

Author:

Chernenkov Alexey Yu.1,Volodin Evgeny M.1,Kostrykin Sergey V.1,Tarasevich Maria A.1,Vorobyeva Vasilisa V.1

Affiliation:

1. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences

Abstract

Abstract This paper describes the new simple parametrization of land snow cover module for INM RAS climate model. The possible liquid water content in the snow layer and refreezing of melt water are taken into account by the proposed parametrization. This is especially important for transition season modelling, because this phenomenon is observed mainly during the formation and melting of the snow cover, when surface temperature fluctuates around 0 °C. Simulation of snow density evolution is also added. This parameterization was implemented in INM-CM snow module and verified on observation data using ESM-SnowMIP-like protocol. As a result, mean climate snowmelting periods according to INM RAS climate model are refined, particularly in middle and high latitudes. Snow covered area reproduction is also improved. Modified version of snow model on the land can be used coupled with albedo model of a snow-covered surface, which takes into account snow metamorphism, and it can be also applied for sea ice case.

Publisher

Research Square Platform LLC

Reference32 articles.

1. Judah Cohen and David Rind (1991) The Effect of Snow Cover on the Climate. Journal of Climate 4(7): 689 - 706 https://doi.org/10.1175/1520-0442(1991)004<0689:teosco>2.0.co;2, American Meteorological Society, Boston MA, USA

2. Eyring, V. and Bony, S. and Meehl, G. A. and Senior, C. A. and Stevens, B. and Stouffer, R. J. and Taylor, K. E. (2016) Overview of the {Coupled Model Intercomparison Project Phase 6 (CMIP6)} experimental design and organization. Geoscientific Model Development 9(5): 1937--1958 https://doi.org/10.5194/gmd-9-1937-2016

3. Flanner, M. G. and Shell, K. M. and Barlage, M. and Perovich, D. K. and Tschudi, M. A. (2011) Radiative forcing and albedo feedback from the {Northern Hemisphere} cryosphere between 1979 and 2008. Nature Geoscience 4(3): 151--155 https://doi.org/10.1038/ngeo1062, Flanner2011, 1752-0908

4. Inness, A. and Ades, M. and Agust í-Panareda, A. and Barr é, J. and Benedictow, A. and Blechschmidt, A. and Dominguez, J. and Engelen, R. and Eskes, H. and Flemming, J. and Huijnen, V. and Jones, L. and Kipling, Z. and Massart, S. and Parrington, M. and Peuch, V-H. and Razinger M. and Remy, S. and Schulz, M. and Suttie, M.. {CAMS global reanalysis (EAC4)} monthly averaged fields. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS), Date Accessed 09-30-2021., 2019

5. Gusev, Yeugeniy M. and Nasonova, Olga N. (2002) The simulation of heat and water exchange at the land –atmosphere interface for the boreal grassland by the land-surface model {SWAP}. Hydrological Processes 16(10): 1893-1919 https://doi.org/10.1002/hyp.362

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3