Evaluation of a Roughness Length Model and Sea Surface Properties with Data from the Baltic Sea

Bjoern Carlsson; Yiannis Papadimitrakis; Anna Rutgersson

首页> 外文期刊>Journal of Physical Oceanography >Evaluation of a Roughness Length Model and Sea Surface Properties with Data from the Baltic Sea

【24h】

Evaluation of a Roughness Length Model and Sea Surface Properties with Data from the Baltic Sea

机译：利用波罗的海的数据评估粗糙度长度模型和海面特性

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The exchange of momentum between the oceans and atmosphere is important for many atmospheric and oceanic processes and is mainly governed by the roughness of sea surface. The roughness can be expressed by a roughness length z_0. A roughness length model, based on the concept that z_0 is determined by stochastic wave breaking, is presented. The model performance is evaluated using measurements from the OEstergarnsholm site, in the Baltic Sea, and pertinent information from other recent investigations. The wave field and the roughness length variations are investigated during various sea state conditions dominated by wind-driven waves. It is found that several parameters, describing the characteristics of the wave field, are dependent on the amount of energy that long waves have relative to the energy of short, wind-driven waves of the sea spectrum (called the swell ratio). The impact of swell ratio on z_0 can explain the discrepancies found in various results among relevant investigations. The roughness length model can well reproduce the observed roughness length.

机译：海洋与大气之间的动量交换对于许多大气和海洋过程都很重要，并且主要由海面的粗糙度决定。粗糙度可以由粗糙度长度z_0表示。基于z_0由随机波破坏确定的概念，提出了一种粗糙度长度模型。使用来自波罗的海的OEstergarnsholm站点的测量结果以及来自其他近期调查的相关信息来评估模型性能。在以风为主导的各种海况条件下，研究了波场和粗糙度长度变化。已经发现，描述波场特征的几个参数取决于长波相对于海谱的短的，由风驱动的波的能量（称为膨胀比）的量。膨胀率对z_0的影响可以解释相关研究中各种结果中发现的差异。粗糙度长度模型可以很好地再现观察到的粗糙度长度。

著录项

来源
《Journal of Physical Oceanography》 |2010年第9期|P.2007-2024|共18页
作者
Bjoern Carlsson; Yiannis Papadimitrakis; Anna Rutgersson;
展开▼
作者单位

Department of Earth Sciences, Uppsala University, Villavagen 16, 752 36 Uppsala, Sweden;

rnWater Resources and Environmental Engineering Division, School of Civil Engineering, National Technical University of Athens, Athens, Greece;

rnDepartment of Earth Sciences, Uppsala University, Uppsala, Sweden;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Scaling reasoning and field data on the sea surface roughness lengths for scalars [J] . Zilitinkevich SS., Fairall CW., Grachev AA. Journal of the Atmospheric Sciences . 2001,第3期

机译：标量的海面粗糙度长度的定标推理和现场数据
2. Influence of the parametrization of water optical properties on the modelled sea surface temperature in the Baltic Sea [J] . Stramska M., Zuzewicz A. Oceanologia . 2013,第1期

机译：水光学特性参数化对波罗的海模拟海面温度的影响
3. Influence of the parametrization of water optical properties on the modelled sea surface temperature in the Baltic Sea [J] . Ma?gorzata Stramska, Agata Zuzewicz Oceanologia . 2013,第1期

机译：水光学特性参数化对波罗的海模拟海面温度的影响
4. Reconstructing sea surface temperature and salinity fields in the northeastern Baltic from observational data, based on sub-regional Empirical Orthogonal Function (EOF) patterns from models [C] . J. Elken, M. Zujev, P. Lagemaa IEEE/OES Baltic International Symposium . 2018

机译：基于模型的次区域经验正交函数（EOF）模式，根据观测数据重建波罗的海东北部的海温和盐度场
5. Analysis of air and sea physical properties and surface fluxes using a combination of in situ and SEASAT data. [D] . Legler, David M. 1992

机译：利用原位和SEASAT数据组合分析空气和海洋物理特性和表面通量。
6. Effect of surface sealant on the surface roughness of different composites and evaluation of their microhardness [O] . Ozge Gurbuz, Aylin Cilingir, Benin Dikmen, 2020

机译：表面密封剂对不同复合材料表面粗糙度的影响及其显微硬度评估
7. Quality assessment of atmospheric surface fields over the Baltic Sea from an ensemble of regional climate model simulations with respect to ocean dynamics**The work presented in this study was jointly funded by the Swedish Environmental Protection Agency (SEPA), the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS), and the European Commission within the projects ECOSUPPORT (Advanced modelling tool for scenarios of the Baltic Sea ECOsystem to SUPPORT decision making, ref. no. 08/381), AMBER (Assessment and Modelling Baltic Ecosystem Response, ref. no. 08/390) and INFLOW (Holocene saline water inflow changes into the Baltic Sea, ecosystem responses and future scenarios, ref. no. 2008–1885). All three projects are part of the BONUS+program (http://www.bonusportal.org). [O] . Meier H.E. Markus, Höglund Anders, Döscher Ralf, 2011

机译：通过与海洋动力学有关的区域气候模型模拟的集成，对波罗的海的大气表面场进行质量评估**这项研究中的工作由瑞典环境保护局（SEPA），瑞典环境研究委员会共同资助，农业科学与空间规划（FORMAS）和欧盟委员会在ECOSUPPORT（用于波罗的海生态系统情景以支持决策的高级建模工具，参考号08/381），AMBER（评估和建模波罗的海生态系统）中响应，参考号08/390）和INFLOW（向波罗的海的全新盐水盐分流入变化，生态系统响应和未来情景，参考号2008-1885）。这三个项目都是BONUS +计划（http://www.bonusportal.org）的一部分。
8. Sea Surface Infrared Radiance Simulator. Part 1: Roughness and Temperature Models of the Sea Surface Radiance [R] . Issa, V., Daya, Z. A. 2010

机译：海面红外辐射模拟器。第1部分：海面辐射的粗糙度和温度模型

Evaluation of a Roughness Length Model and Sea Surface Properties with Data from the Baltic Sea

摘要

著录项

相似文献

相关主题

期刊订阅