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Correlation Between Precipitation and Temperature by Solaleh Khezri. Selected Stations. Data Collection. Monthly data downloaded from National Climate Data Center for 50 years (1959-2008) Only stations with complete record has been selected Seasons has been defined - PowerPoint PPT Presentation
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Correlation Between Precipitation and Temperature
by Solaleh Khezri
Selected Stations
Data CollectionMonthly data downloaded from
National Climate Data Center for 50 years (1959-2008)
Only stations with complete record has been selected
Seasons has been definedSeasonal Average has been
calculated.Done ANOVA test to assure
seasonal group of data are significantly different
T-P Correlation Coeff. For Colorado Springs
420 430 440 450 460 470 480 490 500 5100
50100150200250300350400450
f(x) = − 1.18543824675269 x + 699.147746359478R² = 0.102095785220862
Spring
Temperature
Precipita
tion
200 220 240 260 280 300 320 340 360 3800
20
40
60
80
100
120
140
f(x) = − 0.293972961130015 x + 123.028029092347R² = 0.118677497470376
Winter
Temperature
Precipita
tion
640 650 660 670 680 690 700 710 720 7300
100
200
300
400
500
600
f(x) = − 3.47340017773269 x + 2651.21604281126R² = 0.23959740791091
Summer
Temprature
Precipita
tion
450 470 490 510 530 550 5700
50
100
150
200
250
f(x) = − 1.0251413257295 x + 594.481344215387R² = 0.22360377866572
Fall
Temprature
Precipita
tion
T-P Correlation Coeff. for Chicago
150 170 190 210 230 250 270 290 310 330 3500
50100150200250300350400
f(x) = 0.52568077393075 x + 46.1725103139182R² = 0.0752505867047757
Winter
Temprature
Precipitati
on
400 420 440 460 480 500 520 540 5600
100200300400500600700
f(x) = − 0.206067026531087 x + 415.419055760842R² = 0.00259014310229078
Spring
Temprature
Precipitati
on
660 680 700 720 740 760 7800
100200300400500600700800900
f(x) = − 0.0709877985968427 x + 434.944259416569R² = 0.000143202439417789
Summer
Temprature
Precipitati
on
450 470 490 510 530 550 570 5900
100200300400500600700
f(x) = − 0.737805026906148 x + 685.77471225081R² = 0.0140630197309098
Fall
Temprature
Precipitati
on
Calculation of Correlation Coefficient
Spearman Rho Correlation CoefficientsCorrelation Coefficient
Winter Spring Sumer Fall SumBilling -0.5179 -0.1665 -0.70413 -0.43532 -1.82385
0.0001 0.2478 <.0001 0.0016Boston -0.1798 -0.09205 -0.214 0.15974 -0.32611
0.2115 0.5249 0.1356 0.2678Charleston 0.17241 -0.12982 -0.29979 0.19882 -0.05838
0.2312 0.3689 0.0344 0.1663Chicago 0.23392 0.00922 0.01967 -0.13737 0.12544
0.102 0.9493 0.8922 0.3414Colorado Spring -0.36762 -0.26603 -0.41825 -0.504 -1.5559
0.0086 0.0619 0.0025 0.0002Los Angeles -0.08737 -0.25044 -0.10888 0.085 -0.36169
0.5463 0.0794 0.4516 0.5573Memphis 0.17266 -0.15494 -0.29795 -0.01542 -0.29565
0.2305 0.2826 0.0356 0.9154Miami -0.04702 -0.06894 -0.06486 0.05085 -0.12997
0.7458 0.6343 0.6545 0.7258Minneapolis -0.23676 0.01285 -0.08231 0.03928 -0.26694
0.0978 0.9294 0.5698 0.7865San Antonio -0.36199 -0.36665 -0.42616 -0.01157 -1.16637
0.0098 0.0088 0.002 0.9364Seattle 0.0961 0.05792 -0.36016 -0.12699 -0.33313
0.5068 0.6895 0.0102 0.3795Sioux Falls -0.32671 -0.12669 -0.15134 -0.02956 -0.6343
0.0206 0.3806 0.2941 0.8385Tuscan -0.0694 -0.15595 -0.14048 -0.37965 -0.74548
0.632 0.2795 0.3305 0.0065
Pearson’s R Correlation CoefficientsCorrelation Coefficient Winter Spring Sumer Fall Sum
Billing -0.56605 -0.12066 -0.66069 -0.44521 -1.79261 <.0001 0.4039 <.0001 0.0012 Boston -0.192045 -0.19485 -0.22569 0.10917 -0.50341 0.1815 0.1751 0.115 0.4504 Charleston 0.12329 -0.08977 -0.27629 0.16227 -0.0805 0.3937 0.5353 0.0521 0.2602 Chicago 0.27432 -0.05089 -0.01197 -0.11859 0.09287 0.0539 0.7256 0.9343 0.4121 Colorado Spring -0.344496 -0.31952 -0.48949 -0.47287 -1.62638 0.01 0.0237 0.0003 0.0005 Los Angeles -0.01862 -0.23748 -0.04701 0.142243 -0.16087 0.8979 0.0968 0.7458 0.3015 Memphis 0.13356 -0.16126 -0.27607 -0.08074 -0.38451 0.3551 0.2632 0.0523 0.5773 Miami -0.02736 -0.10615 -0.18964 0.02752 -0.29563 0.8504 0.4631 0.1872 0.8496 Minneapolis -0.18832 -0.07849 -0.05409 0.04556 -0.27534 0.1903 0.5879 0.7091 0.7534 San Antonio -0.13033 -0.3545 -0.43281 -0.08783 -1.00547 0.367 0.0115 0.0017 0.5442 Seattle 0.10532 0.01949 -0.33594 -0.15087 -0.362 0.4667 0.8931 0.0171 0.2956 Sioux Falls -0.2737 -0.12592 -0.3015 -0.03038 -0.7315 0.0544 0.3836 0.0334 0.8341 Tuscan -0.145413 -0.14069 -0.19016 -0.40858 -0.88484 0.2975 0.3298 0.1859 0.0032
T-P Correlation Coeff. for Winter
T-P Correlation Coeff. for Spring
T-P Correlation Coeff. for Summer
T-P Correlation Coefficient for Fall
Total Correlation Coefficients
ConclusionsTemperature and Precipitation are negatively correlated.The correlation is most significant during SummerIn mountainous area the correlation is stronger