首页> 外文会议>Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion >USING SHIP TRACKING METHODS TO ASSIST IN QUALITY CONTROLLING AND BIAS ADJUSTING METEOROLOGICAL OBSERVATIONS IN A MARINE ENVIRONMENT
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USING SHIP TRACKING METHODS TO ASSIST IN QUALITY CONTROLLING AND BIAS ADJUSTING METEOROLOGICAL OBSERVATIONS IN A MARINE ENVIRONMENT

机译:使用船舶跟踪方法协助在海洋环境中提供质量控制和偏见调整气象观测

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How global temperature has changed in the past is essential to both our understanding of the current climate and our ability to predict future change. The Marine Air Temperature (MAT) record that is derived from the International Comprehensive Ocean Atmosphere DataSet (ICOADS) provides a measure of global temperature which extends back to the mid 19th Century. Although the Sea Surface Temperature record has a greater spatial coverage in the latter parts of the record the MAT record potentially has a lower bias and is an independent record of changes in global temperature. In records prior to the early and mid 19th Century (data yet to be included in ICOADS) MAT becomes the dominant record type with measurements stretching back to the late 18th Century. However, the MAT record faces two substantial issues; firstly the daytime measurements (which become dominant in the early part of the record) are contaminated by solar heating, secondly a large number of the observations in the ICOADS (90% in 1970) have no ship identity. In order to devise corrections for the daytime MAT, it is necessary to be able to differentiate between ship voyages (if not between the ships themselves). Since this has not been considered possible, current MAT datasets (i.e. MOHMAT43N) do not use daytime data except from observations with complete metadata. To create the bias adjustments, we must first identify the individual voyages using their kinematic properties. To do this we have employed a state-of-the-art tracking methodology to break up the mass of unidentified marine observations into ship tracks. This method also has the benefit of being able to differentiate between observing platforms based on the pattern of movement. Here we will present a test case of June 1998 demonstrating some of the potentially available improvements to the MAT record and hence to our understanding of changes in global temperature.
机译:过去的全球温度如何发生变化至关重要,对我们对当前气候的理解和我们预测未来变革的能力至关重要。来自国际综合海洋气氛数据集(ICoads)的海洋空气温度(MAT)记录提供了衡量标准延伸到19世纪中期的全球温度。虽然海面温度记录在记录的后部有更大的空间覆盖范围,但是垫片势力偏差较低,并且是全球温度变化的独立记录。在19世纪早期和中期之前的记录中(尚未包含在icoads的数据)垫子成为主导录制类型,其中测量延伸回到18世纪末。但是,席克记录面临两个实质性问题;首先,白天测量(在记录的早期部分占主导地位)被太阳能加热污染,其次在ICOADS中大量观察(1970年90%)没有船舶身份。为了设计白天垫的矫正,有必要能够区分船舶航行(如果不在船体之间)。由于这未被认为是可能的,但是当前垫数据集(即Mohmat43n)不使用日间数据,除非与完整元数据的观察结果。要创建偏置调整,我们必须首先使用其运动性质识别单个航行。为此,我们雇用了最先进的跟踪方法,将身份不明海洋观测的质量分解为船舶轨道。该方法还具有能够基于运动模式来区分观察平台的益处。在这里,我们将在1998年6月展示一个测试案例,证明了席克记录的一些可能改进,从而了解我们对全球温度变化的理解。

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