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Linear Regression
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Figure B. Linear fitting for monthly gauge and TRMM 3B43 rain rate (unit: mm/day) versus GPCC; Oklahoma from January 1998 to November 2003.
| Algorithm (X) | a | b | r² |
| 3B42 | 0.58 | 0.54 | 0.68 |
| 3B43 | 1.02 | 0.24 | 0.83 |
| TMI | 0.33 | 1.44 | 0.39 |
| TPR | 0.38 | 1.18 | 0.41 |
| TCI | 0.42 | 1.07 | 0.45 |
Table 2. Regression analysis for TRMM algorithms with the gauge measurements for Oklahoma (1998-2003).
Regression form CD = a X + b, Degrees of freedom = 69
| | Summer | Winter |
| Algorithm | (a, b [r²]) | (a,
b [r²]) |
| 3B42 | 0.69, -0.02 [0.83] | 0.50, 0.54 [0.68] |
| 3B43 | 1.10, 0.09 [0.96] | 0.89, 0.21 [0.96] |
| TMI | 0.37, 0.74 [0.44] | 0.89, 0. 99 [0.33] |
| TPR | 0.36, 1.11 [0.29] | 0.41, 0.93 [0.51] |
| TCI | 0.43, 0.97 [0.35] | 0.43, 0.80 [0.61] |
| GPCC | 1.19, 0.08 [0.97] | 1.13, 0.14 [0.97] |
Table 3. Regression analysis for TRMM algorithms and GPCC with the gauge measurements for Oklahoma (1998-2003) for summer and winter.
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Atmos Composition
