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Jupyter notebook 2017-02-16-085201.ipynb

Project: DNDC
Views: 61
Kernel: Python 2 (SageMath)
#### 本算法来源于lichagnsheng老师最新的书,结果看上去似乎偏小,需要进一步的确定 %matplotlib inline import numpy as np import matplotlib.pyplot as plt import unittest import random TCfilm=0.25 #film thermal conductivity, 0.25 J/(s*m*K) Dfilm=0.001 #film thickness, 0.001 m //0.0075 mm dt = 86400 #time, second # 1 calorie = 4.184 J SHsoil = 0.2 # soil heat capacity, 0.2 calorie/g/degree C adjT = np.random.random(100)/2*100 #Surf_Temp = np.random.random(100)/2*100 #Surf_Temp = adjT-20.0 Surf_Temp = np.random.random(100)/2*100 # assume 2 cm per layer # soil mass = soil depth * soil density * area in ha... 1.3(g/cm3) * 2(cm) * 100000000(cm2) / 1000 soil_depth = 0.02 # meter soil_bulk_density = 1.3 #(g/cm3) /1300 kg/m3 Soil_mmm = 0.02 * 10000 * 1300 # kg print Soil_mmm #Soil_mmm = 114660 # soil mass kg/ha// Msoil = 220200 # SHsoil = 0.0478 * Soil_mmm dH = (adjT - Surf_Temp) * Dfilm * TCfilm * dt dTTT = dH * SHsoil #dTTT = (dHHH / 4.184*1000) / (SHsoil * Soil_mmm) #plt.plot(adjT,label="air temperature") #plt.plot(Surf_Temp,label="Previous day surface temperature/air tmpe+20") plt.plot(dTTT,label="Changed temperature") plt.legend(loc='best') plt.show()
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