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DOI	10.5194/acp-20-1607-2020
	Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator; as well as their application in aerosol-cloud interactions
	Saponaro G.; Sporre M.K.; Neubauer D.; Kokkola H.; Kolmonen P.; Sogacheva L.; Arola A.; De Leeuw G.; Karset I.H.H.; Laaksonen A.; Lohmann U.
发表日期	2020
ISSN	1680-7316
起始页码	1607
结束页码	1626
卷号	20 期号:3
英文摘要	The evaluation of modelling diagnostics with appropriate observations is an important task that establishes the capabilities and reliability of models. In this study we compare aerosol and cloud properties obtained from three different climate models (ECHAM-HAM, ECHAM-HAMSALSA, and NorESM) with satellite observations using Moderate Resolution Imaging Spectroradiometer (MODIS) data. The simulator MODIS-COSP version 1.4 was implemented into the climate models to obtain MODIS-like cloud diagnostics, thus enabling model-to-model and modelto-satellite comparisons. Cloud droplet number concentrations (CDNCs) are derived identically from MODIS-COSPsimulated and MODIS-retrieved values of cloud optical depth and effective radius. For CDNC, the models capture the observed spatial distribution of higher values typically found near the coasts, downwind of the major continents, and lower values over the remote ocean and land areas. However, the COSP-simulated CDNC values are higher than those observed, whilst the direct model CDNC output is significantly lower than the MODIS-COSP diagnostics. NorESM produces large spatial biases for ice cloud properties and thick clouds over land. Despite having identical cloud modules, ECHAM-HAM and ECHAM-HAM-SALSA diverge in their representation of spatial and vertical distributions of clouds. From the spatial distributions of aerosol optical depth (AOD) and aerosol index (AI), we find that NorESM shows large biases for AOD over bright land surfaces, while discrepancies between ECHAM-HAM and ECHAM-HAM-SALSA can be observed mainly over oceans. Overall, the AIs from the different models are in good agreement globally, with higher negative biases in the Northern Hemisphere. We evaluate the aerosol-cloud interactions by computing the sensitivity parameter ACICDNC D dln.CDNC/=dln.AI/on a global scale. However, 1 year of data may be considered not enough to assess the similarity or dissimilarities of the models due to large temporal variability in cloud properties. This study shows how simulators facilitate the evaluation of cloud properties and expose model deficiencies, which are necessary steps to further improve the parameterisation in climate models. © 2020 Author(s).
语种	英语
scopus关键词	aerosol; cloud microphysics; concentration (composition); MODIS; Northern Hemisphere; numerical model; parameterization; satellite data
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141555
作者单位	Finnish Meteorological Institute, P.O. Box 503, Helsinki, 00101, Finland; Department of Geosciences, University of Oslo, Oslo, Norway; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, 8092, Switzerland; Department of Physics, Lund University, Lund, Sweden
推荐引用方式 GB/T 7714	Saponaro G.,Sporre M.K.,Neubauer D.,et al. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator; as well as their application in aerosol-cloud interactions[J],2020,20(3).
APA	Saponaro G..,Sporre M.K..,Neubauer D..,Kokkola H..,Kolmonen P..,...&Lohmann U..(2020).Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator; as well as their application in aerosol-cloud interactions.Atmospheric Chemistry and Physics,20(3).
MLA	Saponaro G.,et al."Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator; as well as their application in aerosol-cloud interactions".Atmospheric Chemistry and Physics 20.3(2020).