awips2/cave/com.raytheon.uf.viz.derivparam.python/localization/derivedParameters/functions/ColumnSample.py
root 9f19e3f712 Initial revision of AWIPS2 11.9.0-7p5
Former-commit-id: 64fa9254b946eae7e61bbc3f513b7c3696c4f54f
2012-01-06 08:55:05 -06:00

90 lines
No EOL
3.4 KiB
Python

##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to non-U.S. persons whether in the United States or abroad requires
# an export license or other authorization.
#
# Contractor Name: Raytheon Company
# Contractor Address: 6825 Pine Street, Suite 340
# Mail Stop B8
# Omaha, NE 68106
# 402.291.0100
#
# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
# further licensing information.
##
from numpy import zeros, float32, NaN, isnan
##
# Sample a column of profiler data in a way which matches A1
# The most notable feature is that A1 stores all profiler data at evenly spaced level
# where as A2 stores only the levels which have data. This function essentially
# reinserts the missing level and then selects the closest level
#
def execute(paramArray, vertArray, numLevels, vertPoints, sfcParams=None, sfcVerts=None):
ret = zeros(numLevels.shape, 'float32')
ret.fill(NaN)
for i in range(len(vertArray)):
count = numLevels[i]
verts = vertArray[i][:count]
params = paramArray[i][:count]
if isinstance(vertPoints, float):
vertPoint = vertPoints
elif isinstance(vertPoints, float32):
vertPoint = vertPoints
else:
vertPoint = vertPoints[i]
if sfcParams == None:
sfcParam = NaN
elif isinstance(sfcParams, float):
sfcParam = sfcParams
elif isinstance(sfcParams, float32):
sfcParam = sfcParams
else:
sfcParam = sfcParams[i]
if sfcVerts == None:
sfcVert = NaN
elif isinstance(sfcVerts, float):
sfcVert = sfcVerts
elif isinstance(sfcVerts, float32):
sfcVert = sfcVerts
else:
sfcVert = sfcVerts[i]
# expand the input vertices to include surface and every 250 meters
inVert = [sfcVert]
inData = [sfcParam]
for j in range(0,len(verts)):
# Profiler data should be spaced every 250 from 500 to 9250, and then every 1000 above that
heightAGL = verts[j] - sfcVert
if heightAGL < 0:
continue
if heightAGL > 9250:
index = 36 + int((verts[j] - sfcVert - 9250)/1000)
else:
index = int((verts[j] - sfcVert - 250)/250)
while len(inVert) <= index:
inData.append(NaN)
if len(inVert) > 36:
inVert.append(9250 + sfcVert + 1000*(len(inVert) - 36))
else:
inVert.append(250 + sfcVert + 250*len(inVert))
inVert[index] = verts[j]
inData[index] = params[j]
# add a NaN on the top to prevent interpolating over.
inData.append(NaN)
if len(inData) > 36:
inVert.append(9250 + sfcVert + 1000*(len(inVert) - 36))
else:
inVert.append(250 + sfcVert + 250*len(inVert))
#grab the closest level
bestDist = 999999
for j in range(0,len(inVert)):
dist = abs(inVert[j]-vertPoint)
if dist<bestDist:
bestDist = dist
ret[i] = inData[j];
return ret