mesmer.io.load_obs.load_obs

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mesmer.io.load_obs.load_obs#

mesmer.io.load_obs.load_obs(targ, prod, lon, lat, cfg, sel_ref='native', ignore_nans=True)#

Load observations which you previously downloaded.

Parameters:

  • targ (str) – target variable (e.g., “tblend”)

  • prod (str) – product (e.g., “best” or “cw”)

  • cfg (module) – config file containing metadata

  • lon (dict) – longitude dictionary with key

    • [“c”] (1d array with longitudes at center of grid cell)

  • lat (dict) – latitude dictionary with key

    • [“c”] (1d array with latitudes at center of grid cell)

  • sel_ref (str, optional) – selected reference period, (e.g., “native” (original one) or “esm” (the one of the esm))

  • ignore_nans (bool, optional) – if True global average = average across available gp, if False nan value if not all gps available

Returns:

  • var (dict) – variable anomaly dictionary with keys

    • [obs] (4d array (run, time, lat, lon) of variable whereby run=1 because only a single realization of real world)

  • GVAR (dict) – area-weighted global mean variable anomaly dictionary with keys

    • [obs] (2d array (run, time) of globally-averaged variable anomaly time series)

  • time (np.ndarray) – 1d array of years

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