Air–sea fluxes and transfer velocity of CO2 over the North Sea: results from ASGAMAGE
Air–sea fluxes and transfer velocity of CO2 over the North Sea: results from ASGAMAGE
复制标题
北海的海气通量和二氧化碳传输速度：ASGAMAGE 的结果
DOI：
10.3402/tellusb.v51i3.16447
复制
发表时间：
1999
期刊：
影响因子：
2.3
通讯作者：
W. Oost
中科院分区：
文献类型：
--
作者：
C. Jacobs;W. Kohsiek;W. Oost
本文介绍了荷兰皇家气象研究所（KNMI）对在荷兰海岸9公里外的一个研究平台上获得的数据进行的分析，该平台是在海气交换计划ASGAMAGE†的框架内获得的。通过同时观测co2通量和海气浓度差，直接测定了co2的海气输送速度。利用涡流相关技术测定了co2通量。特别注意避免水蒸气对CO 2通量测量的影响。靠近海气界面的空气和水在二氧化碳方面被视为混合良好。通量和浓度数据的结合可以计算co2的传递速度，而无需求助于其他气体。co2通量下降期（5月）和上升期（10月）的观测结果是一致的。对两个实验阶段的合并数据，确定了风速调整到10 m高度和中性分层与unn，10的关系。结果表明：k660 = 0.54U N,10 2 cm h−1，其中k660在20°C时将co2传递速度归一化为盐水（35‰），U N为10 μ m s−1。该系数的95%置信区间为0.46 ~ 0.63。从目前的数据集中找不到与其他地球物理参数的关系。DOI: 10.1034 / j.1600 0889.1999.t01 - 2 - 00005. x
The paper presents an analysis, performed at the Royal Netherlands Meteorological Institute (KNMI), of data obtained at a research platform 9 km off the Dutch coast within the framework of the air–sea gas exchange program ASGAMAGE†. The air–sea transfer velocity of CO 2 was determined directly, that is, by observing CO 2 fluxes and air–sea concentration differences simultaneously. CO 2 fluxes were determined by means of the eddy correlation technique. Special care was taken to avoid the effects water vapour on the CO 2 flux measurements. The air and water near the air–sea interface were treated as well-mixed with respect to CO 2 . The combination of flux and concentration data allowed the computation of the transfer velocity for CO 2 without recourse to other gases. Results for two observation periods, one with downward CO 2 fluxes (May) and one with upward CO 2 fluxes (October), are consistent. A relation with U N ,10 , the wind speed adjusted to a height of 10 m and neutral stratification, was determined for the pooled data from the two experimental phases. The relation found was: k 660 = 0.54U N,10 2 cm h −1 , with k 660 the CO 2 transfer velocity normalized to salt water (35‰) at a temperature of 20 °C, and U N ,10 in m s −1 . The 95% confidence interval of the coefficient extends from 0.46 to 0.63. No relations with other geophysical parameters could be found from the present data set. DOI: 10.1034/j.1600-0889.1999.t01-2-00005.x