Research Article

Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog Method in Thailand

Table 7

Correlation between observed and average rainfall from all predictors by average AM, average CAM, and average MCAM. For forecast predictor during 15 May to 15 October 2010 at 30 stations in Thailand.

CaseStation nameRainfall forecast (mm)Rainfall (observed) (mm)Percentage error (%)
Average AMAverage CMAAverage MCAMAMCMAMCAM

1CHR1232.734429.821526.921540.6019.98187.540.89
2CHM857.392432.30836.75973.0011.88149.9814.00
3LPG758.402274.89799.65725.504.53213.5610.22
4PHR820.082439.24871.34900.508.93170.883.24
5NAN901.212777.35987.211297.3030.53114.0923.90
6UTD1061.903171.831109.761037.902.31205.606.92
7NKH1276.103895.611342.691409.009.43176.484.71
8LEI929.842826.55971.291160.4019.87143.5816.30
9SNK1209.083893.891325.971193.101.34226.3711.14
10NPN1843.815688.941929.281710.707.78232.5512.78
11TAK1679.692137.74748.90849.4019.98151.6811.83
12TAK21129.463538.921198.981081.004.48227.3710.91
13TAK3646.411971.88688.70920.3029.76114.2625.17
14PCB826.942537.62883.23915.109.63177.313.48
15KHK919.592913.53991.57996.707.74192.320.51
16NSW876.492593.17874.801167.7024.94122.0825.08
17RET973.663291.541107.79996.602.30230.2811.16
18UBT1214.543864.701289.311348.609.94186.574.40
19SPB765.082306.68774.00767.100.26200.700.90
20LBR758.942577.48876.141114.8031.92131.2121.41
21PBR1394.384338.531475.141722.2019.03151.9214.35
22SUR1044.493264.271099.951059.301.40208.153.84
23SAK891.552890.53965.801065.8016.35171.219.38
24KCN749.242187.30713.98889.2015.74145.9919.71
25CHP1038.633254.451065.71739.7040.41339.9744.07
26SRT795.902484.82829.68733.608.49238.7213.10
27NST777.952377.75783.45716.608.56231.819.33
28PHK11524.514547.751529.771494.002.04204.402.39
29PHK21532.734602.041508.511935.7020.82137.7522.07
30TRG1431.895207.641716.711124.6027.32363.0752.65

Correlation 0.820.790.80
0.670.610.63
Average sum of rainfall (mm)1028.753223.961094.101119.53
RMSE202.002230.85202.25
MAPE13.92%191.58%13.66%