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在气象卫星数据“更好”比再分析数据?

更具体地说,可以认为,卫星数据更可靠,因为他们是直接测量的物理量,而再分析数据依赖的处理和合并不同的数据集?

回答

不幸的是,你的问题没有回答。都有错误。都可能是不可靠的。你的选择取决于你打算如何使用它们。卫星仪器包含错误的来源,比如恶劣的观察(野火的NIR)映射问题(特别是在两极附近),表示错误。不要低估这些误差的来源——(吉尔和鲍尔发现表示错误可能导致错误的亮度温度大于20 K) [1]。再分析结合观测误差和模型误差。好再分析的影响将减少错误,但它仍是根深蒂固的产品。卫星还是报告的观察。重新分析可能是不可靠的。 For example, [this paper shows that TRMM and PERSIANN‐CDR were more reliable than CFSR or ERA-interim][2]. Maybe more significantly, they both actually report entirely different things. Satellites measure radiances which can be converted into more sensible variables, while reanalyses use a mathematical representation of the atmosphere and observations. So comparing these are a lot like comparing apples and oranges. Some other thoughts you may want to consider: - Is balance more important than truth? Reanalyses tend to be more meteorologically complete, therefore balanced. Satellites actually observe the earth system, so they will be more grounded in reality. - What temporal resolution do you want? Reanalysis outputs are usually once every few hours, while the temporal resolution of satellites vary a large amount, in both number of observations per hour and when observations are taken (such as geostationary vs polar orbiting). - What horizontal resolution do you want? Satellites may have a horizontal resolution modelers can only dream of (metaphorically speaking), but at the cost of the number of regions (for polar orbiting satellites) or consistency (for geostationary satellites). - For what amount of time do you want data? The [ERA-20C dataset][3] can go back to 1900 and [the NOAA/CIRES dataset goes back to 1850][4], while [the first meteorological satellite was put up in 1959][5]. [1]: https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.830 [2]: https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.5670 [3]: https://rda.ucar.edu/datasets/ds626.0/ [4]: https://rda.ucar.edu/datasets/ds131.2/ [5]: https://whyfiles.org/2010/how-long-have-satellites-been-used-to-study-earths-weather/index.html#:~:text=The%20first%20successful%20meteorological%20experiment,that%20measured%20Earth's%20heat%20balance.

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