气候变化领域集成服务门户(CCPortal): Impact of a Multi-Layer Snow Scheme on Near-Surface Weather Forecasts

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DOI	10.1029/2019MS001725
	Impact of a Multi-Layer Snow Scheme on Near-Surface Weather Forecasts
	Arduini G.; Balsamo G.; Dutra E.; Day J.J.; Sandu I.; Boussetta S.; Haiden T.
发表日期	2019
ISSN	19422466
起始页码	4687
结束页码	4710
卷号	11 期号:12
英文摘要	Snow cover properties have a large impact on the partitioning of surface energy fluxes and thereby on near-surface weather parameters. Snow schemes of intermediate complexity have been widely used for hydrological and climate studies, whereas their impact on typical weather forecast time scales has received less attention. A new multilayer snow scheme is implemented in the European Centre for Medium-range Weather Forecasts Integrated Forecasting System and its impact on snow and 2-m temperature forecasts is evaluated. The new snow scheme is evaluated offline at well-instrumented field sites and compared to the current single-layer scheme. The new scheme largely improves the representation of snow depth for most of the sites considered, reducing the root-mean-square error averaged over all sites by more than 30%. The improvements are due to a better description of snow density in thick and cold snowpacks, but also due to an improved representation of sporadic melting episodes because of the inclusion of a thin top snow layer with a low thermal inertia. The evaluation of coupled 10-day weather forecasts shows an improved representation of snow depth at all lead times, demonstrating a positive impact at the global scale. Regarding the impact on weather parameters, the multilayer snow scheme improves the simulated minimum 2-m temperature, by decreasing the positive bias and improving the amplitude of the diurnal cycle over snow-covered regions. However, the increased variability of the 2-m temperature can have a detrimental impact in regions characterized by preexisting errors in the daily mean temperature, associated with errors in cloud processes or surface albedo. ©2019. The Authors.
英文关键词	numerical weather prediction; Snow; snow-atmosphere coupling; weather forecasts
语种	英语
scopus关键词	Errors; Mean square error; Multilayers; Snow; Snow melting systems; European centre for medium-range weather forecasts; Integrated forecasting systems; Intermediate complexity; Numerical weather prediction; Root mean square errors; Surface energy fluxes; Temperature forecasts; Weather parameters; Weather forecasting; climate prediction; complexity; energy flux; numerical method; parameter estimation; snow; snow cover; snowpack; timescale; weather forecasting
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156785
作者单位	European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
推荐引用方式 GB/T 7714	Arduini G.,Balsamo G.,Dutra E.,et al. Impact of a Multi-Layer Snow Scheme on Near-Surface Weather Forecasts[J],2019,11(12).
APA	Arduini G..,Balsamo G..,Dutra E..,Day J.J..,Sandu I..,...&Haiden T..(2019).Impact of a Multi-Layer Snow Scheme on Near-Surface Weather Forecasts.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Arduini G.,et al."Impact of a Multi-Layer Snow Scheme on Near-Surface Weather Forecasts".Journal of Advances in Modeling Earth Systems 11.12(2019).