Climatological diurnal variability in sea surface temperature characterized from drifting buoy data
Climatological diurnal variability in sea surface temperature characterized from drifting buoy data
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根据漂流浮标数据表征的海面温度的气候日变化
DOI：
10.1002/gdj3.35
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发表时间：
2016
影响因子：
3.2
通讯作者：
Morak-Bozzo S
中科院分区：
文献类型：
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作者：
Morak-Bozzo S
漂流浮标海面温度（SST）记录已被用于描述20 cm深度海洋温度的日变化。我们使用国际综合海洋大气数据集（ICOADS）2.5版的1986-2012年期间的测量结果，该数据集是海洋表面观测的集合，其中包括来自漂流浮标的单个SST记录。经过适当的转换，该数据集非常适合于估算日周期，因为许多漂流浮标具有很高的时间覆盖率（每天许多报告），并且分布在全球。对于每一天的每个漂流者，我们计算当地时间每日SST相对于当地时间每日平均SST的变化。亚日SST变率的气候学估计是通过对不同层次的数据进行平均而得出的：在10°纬度带以及全球;并根据季节、风速和云量分层。日变化的参数化拟合作为用于分层数据的变量的函数，并且还提供了用于这种拟合的系数。结果与基于先前工作的预期一致：日温度周期在下午早些时候（当地时间下午2点左右）达到峰值;朝向赤道的幅度增加，季节性降低。一般来说，这个深度的海洋在大风天冷却，在平静的日子里变暖，所以亚日变率的一个组成部分是在较慢的时间尺度上的SST趋势。通过在按环境条件分层时不“关闭”昼夜周期，该数据集不同于先前发表的昼夜周期参数化。这种对SST日周期的彻底表征将有助于解释在一天中不同地方时间进行的SST观测，用于气候学目的，并在高时间分辨率下测试和约束日周期和海气相互作用的模型。
Drifting buoy sea‐surface temperature (SST) records have been used to characterize the diurnal variability of ocean temperature at a depth of order 20 cm. We use measurements covering the period 1986–2012 from the International Comprehensive Ocean‐Atmosphere Data Set (ICOADS) version 2.5, which is a collection of marine surface observations that includes individual SST records from drifting buoys. Appropriately transformed, this dataset is well suited for estimation of the diurnal cycle, since many drifting buoys have high temporal coverage (many reports per day), and are globally distributed. For each drifter for each day, we compute the local‐time daily SST variation relative to the local‐time daily mean SST. Climatological estimates of subdaily SST variability are found by averaging across various strata of the data: in 10° latitudinal bands as well as globally; and stratified with respect to season, wind speed and cloud cover. A parameterization of the diurnal variability is fitted as a function of the variables used to stratify the data, and the coefficients for this fit are also provided with the data. Results are consistent with expectations based on the previous work: the diurnal temperature cycle peaks in early afternoon (circa 2 pm local time); there is an increase in amplitude and a decrease in seasonality towards the equator. Generally, the ocean at this depth cools on windy days and warms on calm days, so that a component of subdaily variability is the SST tendency on slower timescales. By not ‘closing’ the diurnal cycle when stratified by environmental conditions, this dataset differs from previously published diurnal‐cycle parameterizations. This thorough characterization of the SST diurnal cycle will assist in interpreting SST observations made at different local times of day for climatological purposes, and in testing and constraining models of the diurnal‐cycle and air‐sea interaction at high temporal resolution.
由数值天气预报通量和风驱动的海面昼夜变暖统计模型
DOI：
10.5194/osd-7-1497-2010
发表时间：
2010
期刊：
Ocean Science Discussions
影响因子：
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作者：
M. Filipiak;C. Merchant;H. Kettle;P. Borgne
通讯作者：
P. Borgne