气候变化领域集成服务门户(CCPortal): Spatial decorrelation lengths of surface ocean fCO2 results in NetCDF format

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.836388
	Spatial decorrelation lengths of surface ocean fCO2 results in NetCDF format
	Jones; Steve D; Le Quéré; Corinne; Rödenbeck; Christian
发布日期	2014-10-08
数据集类型	dataset
英文简介	Understanding the variability and coherence of surface ocean pCO2 on a global scale can provide insights into its physical and biogeochemical drivers and inform future samplings strategies and data assimilation methods. We present temporal and spatial autocorrelation analyses of surface ocean pCO2on a 5° × 5° grid using the Lamont-Doherty Earth Observatory database. The seasonal cycle is robust with an interannual autocorrelation of ~0.4 across multiple years. The global median spatial autocorrelation (e-folding) length is 400 ± 250 km, with large variability across different regions. Autocorrelation lengths of up to 3,000 km are found along major currents and basin gyres while autocorrelation lengths as low as 50 km are found in coastal regions and other areas of physical turbulence. Zonal (east–west) autocorrelation lengths are typically longer than their meridional counterparts, reflecting the zonal nature of many major ocean features. Uncertainties in spatial autocorrelation in different ocean basins are between 42% and 73% of the calculated decorrelation length. The spatial autocorrelation length in air-sea fluxes is much shorter than forpCO2 (200 ± 150 km) due to the high variability of the gas transfer velocity.
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/217315
推荐引用方式 GB/T 7714	Jones,Steve D,Le Quéré,et al. Spatial decorrelation lengths of surface ocean fCO2 results in NetCDF format.2014-10-08.https://doi.org/10.1594/PANGAEA.836388.