海面边界层涡动黏度剖面的ADCP观测估算

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN Journal of Atmospheric and Oceanic Technology Pub Date : 2023-10-01 DOI:10.1175/jtech-d-22-0083.1
Alexei Sentchev, Max Yaremchuk, Denis Bourras, Ivane Pairaud, Philippe Fraunié
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引用次数: 0

摘要

摘要提出了一种计算变风条件下海面边界层平均涡动粘度廓线(EVP)的方法。在地中海西北部沿海环境中,在可变(3-12 m s - 1)风条件下,通过配备adcp的平台对该方法的性能进行了测试。EVP的反演是由一种受Ekman动力学强烈约束的变分方法进行的,风速和速度观测假设在规定的误差条内是不确定的。结果表明,在强风(8-12 m s−1)条件下,evp与KPP形状函数具有合理的一致性,并且与基于Richardson数的经典Pacanowski-Philander参数化黏度剖面一致。对于较弱的风(3-5 m s−1),EVP反演结果不太准确,这主要是由于SBL中风驱动湍流能量的衰减。在背景流结构的不确定性、微观结构和ADCP剖面的局限性的背景下,讨论了反演技术的可行性和前景。
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Estimation of the Eddy Viscosity Profile in the Sea Surface Boundary Layer from Underway ADCP Observations
Abstract A method of assessing the mean eddy viscosity profile (EVP) in the sea surface boundary layer (SBL) under variable wind conditions is proposed. Performance of the method is tested using observations by an ADCP-equipped platform in the coastal environment of the northwestern Mediterranean Sea under variable (3–12 m s −1 ) wind conditions. EVP retrievals are made by a variational method strongly constrained by the Ekman dynamics, with the wind and velocity observations assumed to be uncertain within the prescribed error bars. Results demonstrate a reasonable agreement of the EVPs with KPP shape functions for stronger (8–12 m s −1 ) wind conditions and appear to be consistent with the classical Pacanowski–Philander parameterization of the viscosity profile based on the Richardson number. For weaker (3–5 m s −1 ) winds, the EVP retrievals turn out to be less accurate, which is primarily attributed to the decay of the wind-driven turbulence energy in the SBL. Feasibility and prospects of the retrieval technique are discussed in the context of uncertainties in the structure of the background flow and limitations of the microstructure and ADCP profiling.
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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