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wradlib Documentation, Release 0.1.1 wradlib.adjust.AdjustMixed.__call__ AdjustMixed.__call__(obs, raw, targets=None, rawatobs=None, ix=None) Return the field of raw values adjusted by obs. Parameters obs : array of floats Gage observations raw : array of floats Raw unadjusted radar rainfall targets : (INTERNAL) array of floats Coordinate pairs for locations on which the final adjustment product is interpolated Defaults to None. In this case, the output locations will be identical to the radar coordinates rawatobs : (INTERNAL) array of floats For internal use from AdjustBase.xvalidate only (defaults to None) ix : (INTERNAL) array of integers For internal use from AdjustBase.xvalidate only (defaults to None) wradlib.adjust.AdjustMixed.xvalidate AdjustMixed.xvalidate(obs, raw) Leave-One-Out Cross Validation, applicable to all gage adjustment classes. This method will be inherited to other Adjust classes. It should thus be applicable to all adjustment procedures without any modification. This way, the actual adjustment procedure has only to be defined once in the __call__ method. The output of this method can be evaluated by using the verify.ErrorMetrics class. Parameters obs : array of floats raw : array of floats Returns obs : array of floats valid observations at those locations which have a valid radar observation estatobs : array of floats estimated values at the valid observation locations wradlib.adjust.Raw_at_obs class wradlib.adjust.Raw_at_obs(obs_coords, raw_coords, nnear=9, stat=’median’) Get the raw values in the neighbourhood of the observation points Parameters obs_coords : array of float coordinate pairs of observations points raw_coords : array of float coordinate pairs of raw (unadjusted) field nnear: integer : 78 Chapter 3. Library Reference
wradlib Documentation, Release 0.1.1 number of neighbours which should be considered in the vicinity of each point in obs stat: string : function name __call__(raw[, obs]) Returns the values of raw at the observation locations wradlib.adjust.Raw_at_obs.__call__ Raw_at_obs.__call__(raw, obs=None) Returns the values of raw at the observation locations Parameters raw : array of float raw values 3.13.4 References 3.14 Verification Verification mainly refers to the comparison of radar-based precipitation estimates to ground truth. ErrorMetrics PolarNeighbours Compute quality metrics from a set of observations (obs) and estimates (est). For a set of projected point coordinates, extract the neighbouring bin values from a data set in polar coordina 3.14.1 wradlib.verify.ErrorMetrics class wradlib.verify.ErrorMetrics(obs, est, minval=None) Compute quality metrics from a set of observations (obs) and estimates (est). First create an instance of the class using the set of observations and estimates. Then compute quality metrics using the class methods. A dictionary of all available quality metrics is returned using the all method. Method report pretty prints all these metrics over a scatter plot. Parameters obs: array of floats : observations (e.g. rain gage observations) est: array of floats : estimates (e.g. radar, adjusted radar, ...) minval : float threshold value in order to compute metrics only for values larger than minval Examples >>> obs = np.random.uniform(0,10,100) >>> est = np.random.uniform(0,10,100) >>> metrics = ErrorMetrics(obs,est) >>> metrics.all() >>> metrics.pprint() 3.14. Verification 79
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