气候变化领域集成服务门户(CCPortal): Model results, link to archive file

CCPortal

DOI	https://doi.pangaea.de/10.1594/PANGAEA.875587
	Model results, link to archive file
	Wacker; Ulrike; Lüpkes; Christof
发布日期	2009-05-31
数据集类型	dataset
英文简介	Common parametrizationmodels for cloud microphysical processes use condensate mass density and/or particle number density as prognostic properties. However, other moments of the particle size distribution can likewise be chosen for prediction. This study deals with parametrization models with one and two, respectively, prognostic moments for the sedimentation of drop ensembles. The spectral resolving model defines the reference solution.
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/219993
推荐引用方式 GB/T 7714	Wacker,Ulrike,Lüpkes,et al. Model results, link to archive file.2009-05-31.https://doi.pangaea.de/10.1594/PANGAEA.875587.