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This data preprocessing project is to deal with some atmospheric and ocean variables.

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data_preprocessing

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  1. surface temperature (monthly data)
    a) Calculate the surface temperature anomaly. The anomaly is achieved by subtracting the annual cycle from the t2m data.Annual cycle: average of the same month of each year.
    b) Extract the December&January&February(DJF)
    c) Calculate the average values of South-east of CHINA (20º-40ºN, 100-125ºE)

  2. nino3.4 index
    extract the DJF month from the original data

  3. basic.py some functions dealing with the climatology data including: a) date processing b) calculate the anomalies by removing the annual cycle.

  4. s3_s3_sensity_of_t2m_to_SST.py calculate the area-weighted mean of t2m in china and the correlations between the mean and the SST in the pacific given the different lead 4 seasons(unit)

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This data preprocessing project is to deal with some atmospheric and ocean variables.

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