## 5 Conclusions
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Site** & **Profile** & **Layer** & **Best Model** & **AICcWt** & **2 nd Best Model** & **AICcWt** & **ER** \\ \hline WIJ & A & M01 & LM & 0.506 & LMTC & 0.250 & 2.03 \\  & & M12 & LMTC & 0.496 & LM & 0.305 & 1.63 \\  & & M24 & LMTC & 0.529 & LM & 0.264 & 2.00 \\  & & M48 & LM & 0.323 & LMTC & 0.242 & 1.33 \\  & B & OFH & QM & 0.422 & LM & 0.249 & 1.70 \\  & & M12 & QMTC & 0.504 & QM & 0.197 & 2.56 \\  & & M24 & LM & 0.392 & LMTC & 0.292 & 1.34 \\  & & M48 & LMTC & 0.440 & LM & 0.365 & 1.21 \\  & C & OFH & LM & 0.400 & LMTC & 0.384 & 1.04 \\  & & M12 & LM & 0.508 & LMTC & 0.282 & 1.80 \\  & & M24 & QMTC & 0.483 & QM & 0.451 & 1.07 \\  & & M48 & LM & 0.428 & LMTC & 0.352 & 1.21 \\ RAV & A & M01 & LM & 0.407 & LMTC & 0.391 & 1.04 \\  & & M12 & LMTC & 0.505 & LM & 0.258 & 1.96 \\  & & M24 & LM & 0.406 & LMTC & 0.399 & 1.02 \\  & & M48 & LMTC & 0.365 & LM & 0.287 & 1.27 \\  & B & M01 & LM & 0.472 & LMTC & 0.320 & 1.47 \\  & & M12 & LM & 0.281 & LMTC & 0.277 & 1.01 \\  & & M24 & LM & 0.392 & LMTC & 0.292 & 1.34 \\  & & M48 & LM & 0.520 & QM & 0.226 & 2.30 \\  & C & M01 & LMTC & 0.432 & LM & 0.337 & 1.28 \\  & & M12 & QM & 0.949 & QMTC & 0.042 & 22.8 \\  & & M24 & LM & 0.431 & LMTC & 0.217 & 1.98 \\  & & M48 & QM & 0.645 & QMTC & 0.314 & 2.05 \\ BRA & A & M01 & LM & 0.463 & LMTC & 0.329 & 1.41 \\  & & M12 & LM & 0.420 & LMTC & 0.370 & 1.14 \\  & & M24 & QM & 0.308 & LMTC & 0.251 & 1.23 \\  & & M48 & QM & 0.498 & LM & 0.240 & 2.07 \\  & B & M01 & LM & 0.449 & LMTC & 0.259 & 1.73 \\  & & M12 & LM & 0.419 & LMTC & 0.319 & 1.31 \\  & & M24 & LM & 0.427 & LMTC & 0.329 & 1.30 \\  & & M48 & LMTC & 0.413 & LM & 0.244 & 1.69 \\  & C & M01 & LM & 0.412 & LMTC & 0.296 & 1.39 \\  & & M12 & QMTC & 0.630 & LMTC & 0.169 & 3.73 \\  & & M24 & LMTC & 0.549 & LM & 0.255 & 2.16 \\  & & M48 & LM & 0.390 & LMTC & 0.341 & 1.14 \\ GON & A & M01 & LM & 0.712 & QM & 0.179 & 3.97 \\  & & M12 & QM & 0.314 & LM & 0.289 & 1.09 \\  & & M24 & LMTC & 0.427 & LM & 0.350 & 1.22 \\  & & M48 & LMTC & 0.498 & LM & 0.250 & 1.99 \\  & B & OFH & LM & 0.667 & QM & 0.169 & 3.95 \\  & & M12 & QMTC & 0.821 & LMTC & 0.092 & 8.90 \\  & & M24 & LMTC & 0.472 & LM & 0.305 & 1.55 \\  & & M48 & LM & 0.343 & LMTC & 0.336 & 1.02 \\  & C & OFH & LM & 0.574 & LMTC & 0.217 & 2.65 \\  & & M12 & QMTC & 0.558 & LM & 0.240 & 2.32 \\  & & M24 & LM & 0.657 & QM & 0.268 & 2.45 \\  & & M48 & QMTC & 0.488 & LM & 0.226 & 2.16 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: AICc based selection of best and second best recalibrated model types for each profile and layer with AICc weights (AICsWt) and evidence ratios (ER). The ER indicates how many times more parsimonious the best model is over the second best model. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Site**} & \multicolumn{1}{c}{**Profile**} & \multicolumn{1}{c}{**Layer**} & \multicolumn{1}{c}{**Best Model**} & \multicolumn{1}{c}{**AICcWt**} & \multicolumn{1}{c}{**2 nd Best Model**} & \multicolumn{1}{c}{**AICcWt**} & \multicolumn{1}{c}{**ER**} \\ \hline HOE & A & M01 & LM & 0.552 & LMTC & 0.215 & 2.57 \\  & & M12 & QM & 0.468 & LM & 0.308 & 1.52 \\  & & M24 & LMTC & 0.690 & QMTC & 0.181 & 3.81 \\  & & M48 & LMTC & 0.395 & LM & 0.368 & 1.07 \\  & B & M01 & QM & 0.374 & LM & 0.306 & 1.23 \\  & & M12 & LM & 0.532 & QM & 0.296 & 1.80 \\  & & M24 & LMTC & 0.612 & QMTC & 0.228 & 2.68 \\  & & M48 & LM & 0.389 & LMTC & 0.264 & 1.47 \\  & C & M01 & LM & 0.462 & LMTC & 0.287 & 1.61 \\  & & M12 & LM & 0.530 & QM & 0.304 & 1.74 \\  & & M24 & LM & 0.630 & QM & 0.170 & 3.70 \\  & & M48 & LM & 0.720 & QM & 0.176 & 4.08 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Finally selected recalibrated functions for all sites and layers with their prediction quality indices.