< p >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。< / p > < p >卫星仪器包含错误的来源,如坏观察(NIR)野火,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——< a href = " https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/qj.830 " rel = " nofollow noreferrer " >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 < / >。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。< / p > < p >可利用可能是不可靠的。例如,< a href = " https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.5670 " rel = " nofollow noreferrer " >本文表明TRMM和PERSIANN CDR更可靠的比CFSR或ERA-interim < / >。< / p > < p >也许更重要的是,他们实际上都报告完全不同的东西。 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 can go back to 1900 and the NOAA/CIRES dataset goes back to 1850, while the first meteorological satellite was put up in 1959.