Factors Affecting Ship and Buoy Data Quality: A Data Assimilation Perspective

Factors Affecting Ship and Buoy Data Quality: A Data Assimilation Perspective
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影响船舶和浮标数据质量的因素:数据同化的角度

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发表时间:
2010
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通讯作者:
B. Ingleby
B. Ingleby
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文献类型:
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作者:
B. Ingleby

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摘要:将2007年和2008年船舶和浮标报告的风、气压、温度、湿度和海温与英国气象局全球数值天气预报(NWP)系统的数值进行了比较。船舶报告按船舶类型、招聘国家和手动或自动报告进行分类。大多数估计的船风(荷兰的除外)都太强了,最好作为测量的风来处理。高度调整后,船舶平均风速与浮标风速基本一致,但全球模式风速弱6% ~ 12%。在比较/吸收靠近海岸的数值时需要格外小心。由于船上的太阳能加热,下午船上的空气温度过高。对一些较大的船只来说,将压力调整到海平面是一个问题。客船报告的一些变量相对较差的质量,他们的风相当强。自动船舶报告以及来自科研船和海岸警卫队船的报告往往是……
Abstract Ship and buoy reports of wind, air pressure, temperature, humidity, and sea temperature for 2007 and 2008 have been compared with values from the operational Met Office global numerical weather prediction (NWP) system. Ship reports have been categorized by vessel type, recruiting country, and manual or automatic reporting. Most estimated ship winds (except Dutch ones) are too strong and are better treated as measured winds. After height adjustment, the average ship wind speeds are reasonably consistent with buoy wind speeds, but the global model winds are 6%–12% weaker. Extra care is needed when comparing/assimilating values close to the coast. Ship air temperatures are too warm during the afternoon due to solar heating of the ship. Adjustment of the pressure to sea level is a problem for some larger ships. Passenger ship reports are relatively poor quality for several variables and their winds are rather strong. Automated ship reports and those from research and coast guard vessels tend to be of...