259 lines
11 KiB
Python
259 lines
11 KiB
Python
##
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# This software was developed and / or modified by Raytheon Company,
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# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
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#
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# U.S. EXPORT CONTROLLED TECHNICAL DATA
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# This software product contains export-restricted data whose
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# export/transfer/disclosure is restricted by U.S. law. Dissemination
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# to non-U.S. persons whether in the United States or abroad requires
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# an export license or other authorization.
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#
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# Contractor Name: Raytheon Company
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# Contractor Address: 6825 Pine Street, Suite 340
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# Mail Stop B8
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# Omaha, NE 68106
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# 402.291.0100
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#
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# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
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# further licensing information.
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##
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# ----------------------------------------------------------------------------
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# This software is in the public domain, furnished "as is", without technical
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# support, and with no warranty, express or implied, as to its usefulness for
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# any purpose.
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#
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# Populate_SkyTool -- Version 1.0
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#
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# Author: Pete Banacos, WFO BTV (Started: 9/20/06)
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# Last update: 1/23/07
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#
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# DR 18542 bwhundermark Fixed RH calculation w.r.t ice 06/01/16
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# ----------------------------------------------------------------------------
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##
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# This is an absolute override file, indicating that a higher priority version
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# of the file will completely replace a lower priority version of the file.
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##
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ToolType = "numeric"
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WeatherElementEdited = "Sky"
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from numpy import *
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### Solicite variables from the forecaster:
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VariableList = [
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("Populate SkyTool Version 1.0","","label"),
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("Model:", "NAM12", "radio", ["GFS40", "NAM12"]),
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("Model Run:", "Current", "radio", ["Current", "Previous"]),
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("Layer depth:", "50mb", "radio", ["50mb", "25mb"]),
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("Use RH w.r.t. ICE @ T < -25C?", "No", "radio", ["Yes", "No"]),
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("", "", "label"),
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("Include high clouds (500-300mb)?", "No", "radio", ["Yes", "No"]),
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("Include clouds below 925mb?", "Yes", "radio", ["Yes", "No"]),
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("5% Sky Cover threshold at RH percentage:", 60., "scale", [44., 74.],2.0),
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("Above value sets RH threshold for CLR skies.", "", "label"),
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("Calibration:", 1.00, "scale", [1.00, 1.50],0.02),
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("Raise calibration to get more sky cover for a given RH.", "", "label"),
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(" --- Limit Values Section --- ", "", "label"),
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("Don't give me sky cover above (percent):", 100, "scale", [0, 100], 1),
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("Don't give me sky cover below (percent):", 0, "scale", [0, 100], 1),
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]
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import SmartScript
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class Tool (SmartScript.SmartScript):
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def __init__(self, dbss):
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SmartScript.SmartScript.__init__(self, dbss)
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def execute(self, Sky, GridTimeRange, varDict):
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"Determine Sky Cover based on exponential function where layer RH is the dependent variable."
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SITE = self.getSiteID()
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layer_depth = varDict["Layer depth:"]
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lowPBL = varDict["Include clouds below 925mb?"]
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hiCLDS = varDict["Include high clouds (500-300mb)?"]
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UseRHi = varDict["Use RH w.r.t. ICE @ T < -25C?"]
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limit_MAX = varDict["Don't give me sky cover above (percent):"]
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limit_MIN = varDict["Don't give me sky cover below (percent):"]
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model1 = varDict["Model:"]
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modelrun = varDict["Model Run:"]
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modeltemp = "D2D_" + model1
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if modelrun == "Current":
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model = self.findDatabase(modeltemp, 0)
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else:
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model = self.findDatabase(modeltemp, -1)
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# Grab RH values from the numerical model
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print 'GridTimeRange = ', GridTimeRange
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RHPBL030 = self.getGrids(model, "rh", "BL030", GridTimeRange)
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RHPBL3060 = self.getGrids(model, "rh", "BL3060", GridTimeRange)
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RHPBL6090 = self.getGrids(model, "rh", "BL6090", GridTimeRange)
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RHPBL90120 = self.getGrids(model, "rh", "BL90120", GridTimeRange)
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# TESTING SECTION
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lvl = ["BL030", "BL3060", "BL6090", "BL90120",
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"MB925","MB900","MB875","MB850",
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"MB825","MB800","MB775","MB750",
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"MB725","MB700","MB675","MB650",
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"MB625","MB600","MB575","MB550",
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"MB525","MB500","MB450","MB400",
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"MB350","MB300"]
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# Populate Temperature list with default of freezing
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T_lvl = [273,273,273,273,273,273,273,273,273,
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273,273,273,273,273,273,273,273,273,
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273,273,273,273,273,273,273,273]
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# Populate RH list with default of 50%
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RH_lvl = [50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50]
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e_lvl = [50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50]
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es_lvl = [50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50]
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esi_lvl = [50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50]
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RHi_lvl = [50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50,50,
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50,50,50,50,50,50,50,50]
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for x in range(len(lvl)):
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T_lvl[x] = self.getGrids(model, "t", lvl[x], GridTimeRange)
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RH_lvl[x] = self.getGrids(model, "rh", lvl[x], GridTimeRange)
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es_lvl[x] = 6.11 * exp(5412.*((1./273.)-(1./T_lvl[x])))
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e_lvl[x] = (RH_lvl[x] * es_lvl[x]) / 100.
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# compute RH with respect to ice, using latent heat of sublimation:
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esi_lvl[x] = 6.11 * exp(6133.*((1./273.)-(1./T_lvl[x])))
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RHi_lvl[x] = (e_lvl[x] / esi_lvl[x]) * 100.
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# If grid pt. temperature is less than -25C, use RH over ice...
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if UseRHi == "Yes":
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mask = T_lvl[x] < 248
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RH_lvl[x][mask] = RHi_lvl[x][mask]
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# Populate 30mb near-sfc AGL layers:
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RHPBL030 = RH_lvl[0]
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RHPBL3060 = RH_lvl[1]
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RHPBL6090 = RH_lvl[2]
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RHPBL90120 = RH_lvl[3]
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# compute layer-averaged RH values (50mb)
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if layer_depth == "50mb":
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RHavg925_875 = ((RH_lvl[4]+RH_lvl[5]+RH_lvl[6])/3)
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RHavg900_850 = ((RH_lvl[5]+RH_lvl[6]+RH_lvl[7])/3)
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RHavg875_825 = ((RH_lvl[6]+RH_lvl[7]+RH_lvl[8])/3)
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RHavg850_800 = ((RH_lvl[7]+RH_lvl[8]+RH_lvl[9])/3)
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RHavg825_775 = ((RH_lvl[8]+RH_lvl[9]+RH_lvl[10])/3)
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RHavg800_750 = ((RH_lvl[9]+RH_lvl[10]+RH_lvl[11])/3)
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RHavg775_725 = ((RH_lvl[10]+RH_lvl[11]+RH_lvl[12])/3)
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RHavg750_700 = ((RH_lvl[11]+RH_lvl[12]+RH_lvl[13])/3)
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RHavg725_675 = ((RH_lvl[12]+RH_lvl[13]+RH_lvl[14])/3)
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RHavg700_650 = ((RH_lvl[13]+RH_lvl[14]+RH_lvl[15])/3)
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RHavg675_625 = ((RH_lvl[14]+RH_lvl[15]+RH_lvl[16])/3)
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RHavg650_600 = ((RH_lvl[15]+RH_lvl[16]+RH_lvl[17])/3)
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RHavg625_575 = ((RH_lvl[16]+RH_lvl[17]+RH_lvl[18])/3)
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RHavg600_550 = ((RH_lvl[17]+RH_lvl[18]+RH_lvl[19])/3)
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RHavg575_525 = ((RH_lvl[18]+RH_lvl[19]+RH_lvl[20])/3)
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RHavg550_500 = ((RH_lvl[19]+RH_lvl[20]+RH_lvl[21])/3)
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else:
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# depth is in 25mb layers
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RHavg925_900 = ((RH_lvl[4]+RH_lvl[5])/2)
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RHavg900_875 = ((RH_lvl[5]+RH_lvl[6])/2)
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RHavg875_850 = ((RH_lvl[6]+RH_lvl[7])/2)
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RHavg850_825 = ((RH_lvl[7]+RH_lvl[8])/2)
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RHavg825_800 = ((RH_lvl[8]+RH_lvl[9])/2)
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RHavg800_775 = ((RH_lvl[9]+RH_lvl[10])/2)
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RHavg775_750 = ((RH_lvl[10]+RH_lvl[11])/2)
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RHavg750_725 = ((RH_lvl[11]+RH_lvl[12])/2)
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RHavg725_700 = ((RH_lvl[12]+RH_lvl[13])/2)
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RHavg700_675 = ((RH_lvl[13]+RH_lvl[14])/2)
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RHavg675_650 = ((RH_lvl[14]+RH_lvl[15])/2)
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RHavg650_625 = ((RH_lvl[15]+RH_lvl[16])/2)
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RHavg625_600 = ((RH_lvl[16]+RH_lvl[17])/2)
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RHavg600_575 = ((RH_lvl[17]+RH_lvl[18])/2)
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RHavg575_550 = ((RH_lvl[18]+RH_lvl[19])/2)
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RHavg550_525 = ((RH_lvl[19]+RH_lvl[20])/2)
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RHavg525_500 = ((RH_lvl[20]+RH_lvl[21])/2)
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# Layer depth above 500mb is always 50mb...
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RHavg500_450 = ((RH_lvl[21]+RH_lvl[22])/2)
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RHavg450_400 = ((RH_lvl[22]+RH_lvl[23])/2)
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RHavg400_350 = ((RH_lvl[23]+RH_lvl[24])/2)
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RHavg350_300 = ((RH_lvl[24]+RH_lvl[25])/2)
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# Generate List of layers to check.
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my_PBLlist = [RHPBL030, RHPBL3060, RHPBL6090, RHPBL90120]
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my_upr_trop_list = [RHavg500_450,RHavg450_400, RHavg400_350,
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RHavg350_300]
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if layer_depth == "50mb":
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my_list = [RHavg925_875, RHavg900_850, RHavg875_825,
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RHavg850_800, RHavg825_775, RHavg800_750, RHavg775_725,
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RHavg750_700, RHavg725_675, RHavg700_650, RHavg675_625,
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RHavg650_600, RHavg625_575, RHavg600_550, RHavg575_525,
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RHavg550_500]
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else:
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my_list25 = [RHavg925_900, RHavg900_875, RHavg875_850, RHavg850_825,
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RHavg825_800, RHavg800_775, RHavg775_750, RHavg750_725,
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RHavg725_700, RHavg700_675, RHavg675_650, RHavg650_625,
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RHavg625_600, RHavg600_575, RHavg575_550, RHavg550_525,
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RHavg525_500]
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# Put lowest RH layer being used into place holder...
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if lowPBL == "Yes":
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holder = RHPBL030
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elif layer_depth == "50mb":
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holder = RHavg925_875
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else:
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holder = RHavg925_900
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# check Ground Relative layers first at low-levels, as selected by user.
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if lowPBL == "Yes":
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for layerRH in my_PBLlist:
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holder = where(greater(layerRH, holder), layerRH, holder)
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# Check Layers incrementally
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if layer_depth == "50mb":
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for layerRH in my_list:
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holder= where(greater(layerRH, holder), layerRH, holder)
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else:
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for layerRH in my_list25:
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holder= where(greater(layerRH, holder), layerRH, holder)
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# If user wants high clouds (above 500mb), continue layer checking...
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if hiCLDS == "Yes":
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for layerRH in my_upr_trop_list:
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holder = where(greater(layerRH, holder), layerRH, holder)
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# Compute Cloud Amount
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Calib = varDict["Calibration:"]
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clr_threshold = varDict["5% Sky Cover threshold at RH percentage:"]
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# cloudamt = 5. * (exp(.106*(holder-70.)))
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cloudamt = 5. * (exp(3.*Calib*((holder-clr_threshold)/(100.-clr_threshold))))
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# Apply Limit Values Portion as input by User:
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# The limit values takes precedence over the PoP QC tool since it is the
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# final check done.
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cloudamt[greater(cloudamt, limit_MAX)] = limit_MAX
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cloudamt[less(cloudamt, limit_MIN)] = limit_MIN
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# Warn user if Min cloud Limit exceeds Max Cloud Limit:
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if limit_MIN > limit_MAX:
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self.statusBarMsg("Warning: Limit value discrpency noted (MIN cloud amount > MAX cloud amount). Verify settings", ".")
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# Return Value to for Sky grid
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Sky = cloudamt
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return Sky
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