wradlib Documentation - Bitbucket

More documents

Recommendations

Info

$LaTeX-Tutorium III - Bitbucket$

wradlib Documentation, Release 0.1.1 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 __call__(obs, raw[, targets]) xvalidate(obs, raw) Empty prototype Leave-One-Out Cross Validation, applicable to all gage adjustment classes. wradlib.adjust.AdjustBase.__call__ AdjustBase.__call__(obs, raw, targets=None) Empty prototype wradlib.adjust.AdjustBase.xvalidate AdjustBase.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.AdjustMFB class wradlib.adjust.AdjustMFB(obs_coords, raw_coords, nnear_raws=9, stat=’median’, mingages=5, minval=0.0, Ipclass=, **ipargs) Multiplicative gage adjustment using one correction factor for the entire domain This method is also known as the Mean Field Bias correction Parameters obs_coords : array of float coordinate pairs of observations points 66 Chapter 3. Library Reference
wradlib Documentation, Release 0.1.1 raw_coords : array of float coordinate pairs of raw (unadjusted) field nnear_raws : integer defaults to 9 stat : string defaults to ‘median’ mingages : integer minimum number of gages which are required for an adjustment minval : float If the gage or radar observation is below this threshold, the location will not be used for adjustment. For additive adjustment, this value should be set to zero (default value). Ipclass : an interpolation class from wradib.ipol Default value is wradlib.ipol.Idw (Inverse Distance Weighting) ipargs : keyword arguments to create an instance of Ipclass For wradlib.ipol.Idw, these keywird arguments woudl e.g. be nnear or p Returns output : array of adjusted radar values Notes Inherits from AdjustBase Examples >>> import wradlib.adjust as adjust >>> import numpy as np >>> import pylab as pl >>> # 1-d example including all available adjustment methods >>> # -------------------------------------------------------------------------- >>> # gage and radar coordinates >>> obs_coords = np.array([5,10,15,20,30,45,65,70,77,90]) >>> radar_coords = np.arange(0,101) >>> # true rainfall >>> truth = np.abs(np.sin(0.1*radar_coords)) >>> # radar error >>> erroradd = np.random.uniform(0,0.5,len(radar_coords)) >>> errormult= 1.1 >>> # radar observation >>> radar = errormult*truth + erroradd >>> # gage observations are assumed to be perfect >>> obs = truth[obs_coords] >>> # add a missing value to observations (just for testing) >>> obs[1] = np.nan >>> # adjust the radar observation by additive model >>> add_adjuster = adjust.AdjustAdd(obs_coords, radar_coords, nnear_raws=1) >>> add_adjusted = add_adjuster(obs, radar) >>> # adjust the radar observation by multiplicative model >>> mult_adjuster = adjust.AdjustMultiply(obs_coords, radar_coords, nnear_raws=1) 3.13. Gage adjustment 67
Page 1:
wradlib Documentation Release 0.1.1
Page 4 and 5:
5.3 Users . . . . . . . . . . . . .
Page 6 and 7:
wradlib Documentation, Release 0.1.
Page 8 and 9:
Page 10 and 11:
Page 12 and 13:
Page 14 and 15:
Page 16 and 17:
Page 18 and 19:
Page 20 and 21: wradlib Documentation, Release 0.1.
show all

wradlib Documentation - Bitbucket

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?