Enhancing model temperature estimations in shallow, turbid, coastal regions: Mobile Bay, Alabama

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
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引用次数: 0

Abstract

Accurate estimation of water column temperature is vital for modeling physical and biogeochemical processes. A key process in the thermal dynamics of the upper ocean is the attenuation of solar radiation. In shallow-turbid coastal systems, spatially and temporally varying optical characteristics present challenges for commonly used attenuation parameterization schemes. This study investigates the dependency of temperature with a ROMS model of Mobile Bay, a shallow, turbid estuary, using six different attenuation approaches including three base cases: Conventional approach PS77 based on water type-9; Novel approach SAL relating in situ PAR attenuation to salinity; and Surface trapped irradiance method ST. In addition, these base cases are also tested with surface atmospheric heat flux correction (QC). Simulations were validated against observations from various sources to identify the optimal approach at annual and synoptic scales. While all simulations showed effective temperature performance over an annual cycle, monthly analysis revealed some seasonality, with winter months typically performing better than summer months. The influence of QC notably enhanced temperature performance in both annual and synoptic scales, given that surface heat flux primarily drove temperature changes in this shallow system. The best overall performance was determined to be the ST approach incorporating QC. Conversely, PS77 without QC demonstrated the poorest performance. The SAL model with QC, notably improved performance over PS77 with QC, yet demonstrated comparable yet weaker performance compared to the ST model with QC. The study also implies that neglecting subseasonal validation in long-term regional climate modeling could introduce uncertainty into analyzing events tied to subseasonal temperatures.
加强浅海、浑浊沿岸地区的模型温度估算:阿拉巴马州莫比尔湾
准确估算水体温度对物理和生物地球化学过程建模至关重要。太阳辐射衰减是上层海洋热动力学的一个关键过程。在浅湍流沿岸系统中,时空变化的光学特性给常用的衰减参数化方案带来了挑战。本研究采用六种不同的衰减方法(包括三种基本方法),对莫比尔湾(一个浅浊流河口)的 ROMS 模式的温度依赖性进行了研究:基于水体类型-9 的传统方法 PS77;与原位 PAR 衰减和盐度有关的新方法 SAL;以及表面受困辐照度方法 ST。此外,还对这些基本方法进行了地表大气热通量校正(QC)测试。模拟结果与各种来源的观测数据进行了验证,以确定年度和天气尺度上的最佳方法。虽然所有模拟都显示出有效的年周期温度表现,但月度分析显示出一定的季节性,冬季月份的表现通常好于夏季月份。由于地表热通量主要驱动浅层系统的温度变化,因此 QC 的影响明显提高了年尺度和同步尺度的温度性能。总体性能最好的是包含 QC 的 ST 方法。相反,不含 QC 的 PS77 性能最差。采用 QC 的 SAL 模型比采用 QC 的 PS77 有明显改善,但与采用 QC 的 ST 模型相比,其性能相当但较弱。这项研究还表明,在长期区域气候模拟中忽略次季节验证可能会给分析与次季节温度相关的事件带来不确定性。
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来源期刊
Ocean Modelling
Ocean Modelling 地学-海洋学
CiteScore
5.50
自引率
9.40%
发文量
86
审稿时长
19.6 weeks
期刊介绍: The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.
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