Empirical verification of satellite data on solar radiation and cloud cover over the Baltic Sea

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN Journal of Atmospheric and Oceanic Technology Pub Date : 2024-01-24 DOI:10.1175/jtech-d-23-0061.1
M. Paszkuta, Maciej Markowski, A. Krężel
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Abstract

Empirical verification of the reliability of estimating the amount of solar radiation entering the sea surface is a challenging topic due to the quantity and quality of data. The collected measurements of total and diffuse radiation from the Multifilter Rotating Shadowband Radiometer (MRF-7) commercial device over the Baltic Sea were compared with the satellite results of using modeling data. The obtained results, also divided into individual spectral bands, were analyzed for usefulness in satellite cloud and aerosol detection. The article presents a new approach to assessing radiation and cloud cover based on the use of models supported by satellite data. Measurement uncertainties were estimated for the obtained results. To reduce uncertainty, the results were averaged to the time constant of the device, day and month. The effectiveness of the method was determined by comparison against the SM Hel measurement point. The empirical results obtained confirm the effectiveness of using satellite methods for estimating radiation along with cloud cover detection over the sea with the adopted uncertainty values.
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波罗的海太阳辐射和云层卫星数据的经验验证
由于数据的数量和质量问题,对估计进入海面的太阳辐射量的可靠性进行经验验证是一个具有挑战性的课题。波罗的海上空多滤光片旋转影带辐射计(MRF-7)商用装置收集的总辐射和漫射辐射测量数据与卫星利用建模数据得出的结果进行了比较。获得的结果(也分为各个光谱波段)被分析用于卫星云层和气溶胶探测。文章介绍了一种基于卫星数据支持的模型评估辐射和云层的新方法。对所得结果的测量不确定性进行了估算。为减少不确定性,对结果按设备、日和月的时间常数进行了平均。通过与 SM Hel 测量点进行比较,确定了该方法的有效性。获得的经验结果证实,在采用不确定值的情况下,使用卫星方法估算辐射和探测海上云层是有效的。
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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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