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机译:无间隙月平均纬向平均臭氧数据库的更新版本
tiers are provided: Tier 0 is based only on the available measurements and therefore does not completely cover the whole globe or the full vertical range uniformly; the Tier 0.5 monthly mean zonal means are calculated as a filled version of the Tier 0 database where missing monthly mean zonal mean values are estimated from correlations against a total column ozone (TCO) database. The Tier 0.5 data set includes the full range of measurement variability and is created as an intermediate step for the calculation of the Tier 1 data where a least squares regression model is used to attribute variability to various known forcing factors for ozone. Regression model fit coefficients are expanded in Fourier series and Legendre polynomials (to account for seasonality and latitudinal structure, respectively). Four different combinations of contributions from selected regression model basis functions result in four different Tier 1 data sets that can be used for comparisons with chemistry–climate model (CCM) simulations that do not exhibit the same unforced variability as reality (unless they are nudged towards reanalyses). Compared to previous versions of the database, this update includes additional satellite data sources and ozonesonde measurements to extend the database period to 2016. Additional improvements over the previous version of the database include the following: (i) adjustments of measurements to account for biases and drifts between different data sources (using a chemistry-transport model, CTM, simulation as a transfer standard), (ii) a more objective way to determine the optimum number of Fourier and Legendre expansions for the basis function fit coefficients, and (iii) the derivation of methodological and measurement uncertainties on each database value are traced through all data modification steps. Comparisons with the ozone database from SWOOSH (Stratospheric Water and OzOne Satellite Homogenized data set) show good agreement in many regions of the globe. Minor differences are caused by different bias adjustment procedures for the two databases. However, compared to SWOOSH, BSVertOzone additionally covers the troposphere. Version 1.0 of BSVertOzone is publicly available at https://doi.org/http://doi.org/10.5281/zenodo.1217184.
层:方法0仅基于可用的度量,因此不能完全覆盖整个地球或整个垂直范围。将Tier 0数据库的填充版本计算为Tier 0.5每月平均纬向平均值,其中根据与总柱臭氧(TCO)数据库的相关性来估算缺失的每月平均纬向平均值。 Tier 0.5数据集包括整个范围的测量变异性,是作为计算Tier 1数据的中间步骤而创建的,其中最小二乘回归模型用于将变异性归因于各种已知的臭氧强迫因素。回归模型的拟合系数在傅立叶级数和勒让德多项式中扩展(分别考虑季节性和纬度结构)。所选回归模型基础函数的四种不同贡献组合产生了四个不同的方法1数据集,可用于与化学气候模型(CCM)模拟进行比较,这些模拟不会表现出与实际情况相同的非强制变异性(除非将其推向重新分析)。与以前版本的数据库相比,此更新包括其他卫星数据源和臭氧探空仪测量,以将数据库周期延长至2016年。与以前版本的数据库相比,其他改进包括:(i)调整测量值以解决偏差和在不同数据源之间漂移(使用化学物质运输模型,CTM,模拟作为转移标准),(ii)一种更客观的方法来确定基函数拟合系数的傅立叶和勒让德展开的最佳数量,以及(iii)每个数据库值的方法和测量不确定性的推导都通过所有数据修改步骤进行。与SWOOSH(平流层水和OzOne卫星均质化数据集)中的臭氧数据库进行的比较表明,在全球许多地区都有很好的一致性。较小的差异是由于两个数据库的偏差调整过程不同所致。但是,与SWOOSH相比,BSVertOzone还覆盖了对流层。 BSVertOzone的1.0版可从https://doi.org/http://doi.org/10.5281/zenodo.1217184公开获得。
机译:无间隙月平均纬向平均臭氧数据库的更新版本
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