NOCS FLUX V2.0表层通量数据集

NOCS V2.0是由ICOADS V2.4船测资料经最优插值而得到的1°×1°海表气象和通量全球格点月平均资料，包含变量为气温、海表温度、海平面气压、风速、比湿、云量、感热通量、潜热通量、短波辐射、长波辐射，每一格点均给出各变量的月平均值、随机不确定度估计（estimate of random uncertainty）、误差不确定度估计（estimate of residual bias uncertainty）、总不确定度估计（estimate of total uncertainty）。各变量的月平均数据由其逐日估计值计算得到，同时也给出了每月的逐日标准差。在使用时需要注意：在一些样本非常少的区域（如南海），其不确定性估计本身可能是不可靠的。
表层气象场已被校正（根据不同的观测高度和已知偏差）（详情见Berry and Kent的文献）。表层通量由逐日表层气象参数计算得到，使用了大量的参数化（Reed, 1977; Clark et al., 1974；Smith, 1980，1988）。

NOCS V2.0 is a 1°×1° global gridded monthly mean dataset of sea surface meteorology and fluxes, derived via optimal interpolation from ICOADS V2.4 shipborne observational data. Its included variables are air temperature, sea surface temperature, sea level pressure, wind speed, specific humidity, cloud cover, sensible heat flux, latent heat flux, shortwave radiation, and longwave radiation. For each grid point, monthly mean values, estimate of random uncertainty, estimate of residual bias uncertainty, and estimate of total uncertainty for all variables are provided. The monthly mean data for each variable are calculated from its daily estimates, and the daily standard deviation for each month is also provided. It should be noted that in regions with extremely sparse observations (e.g., the South China Sea), the uncertainty estimates themselves may be unreliable. The surface meteorological fields have been corrected based on different observation heights and known biases; detailed information can be found in the literature by Berry and Kent. The surface fluxes are calculated from daily surface meteorological parameters, using multiple parameterization schemes (Reed, 1977; Clark et al., 1974; Smith, 1980, 1988).

搜集汇总

背景与挑战

背景概述

NOCS FLUX V2.0表层通量数据集是一个全球海洋1°×1°格点的月平均气象和通量数据集，包含气温、海表温度、风速等多种变量及其不确定度估计。数据基于ICOADS V2.4船测资料通过最优插值方法生成，适用于海洋气象和通量研究。