55 lines
1.9 KiB
Python
55 lines
1.9 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.
|
||
|
##
|
||
|
|
||
|
# ----------------------------------------------------------------
|
||
|
# Calculates the heatIndex from temperature(C) and dewpoint temperatures(C)
|
||
|
# ----------------------------------------------------------------
|
||
|
|
||
|
import numpy
|
||
|
from numpy import power
|
||
|
|
||
|
const1 = 0.0091379024
|
||
|
const2 = 6106.396
|
||
|
|
||
|
def calculate(T, DpT):
|
||
|
# T and DpT have to be in C for the below calculation
|
||
|
badValue = numpy.where(T < 26.5,1,numpy.where(DpT > T,1,0))
|
||
|
|
||
|
TK = T + 273.15
|
||
|
DpTK = DpT + 273.15
|
||
|
# Legacy src/meteoLib/calcrh.f
|
||
|
exponent = numpy.where(T < 80.0, const1 * (TK - DpTK) + const2/TK - const2/DpTK,const1 * (T - DpT) + const2/T - const2/DpT)
|
||
|
RH = 100 * numpy.exp(exponent)
|
||
|
|
||
|
|
||
|
T1 = (T * 1.8) + 32
|
||
|
T1_sq = T1 * T1
|
||
|
RH_sq = RH * RH
|
||
|
|
||
|
# the Lans Rothfusz formula
|
||
|
H1 = -42.379 + (2.04901523 * T1) + (10.14333127 * RH)
|
||
|
H2 = (-0.22475541 * T1 * RH) - (0.00683783 * T1_sq) - (0.05481717 * RH_sq)
|
||
|
H3 = (0.00122874 * T1_sq * RH) + (0.00085282 * T1 * RH_sq)
|
||
|
H4 = (-0.00000199 * T1_sq * RH_sq)
|
||
|
Hi = H1 + H2 + H3 + H4
|
||
|
|
||
|
HiC = (Hi - 32) / 1.8 #convert F to C
|
||
|
#Returned in Celsius
|
||
|
return numpy.where(badValue == 1, -9999.0, HiC)
|