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Attachment 6 - Odour Impact Assessment - Katestone · 132005.638.06
N
(P − O )
i i
2
IOA = 1 − N i =1
(| P − O
i =1
i m ean | + | Oi − Om ean |) 2
where N is the number of observations, Pi are the hourly model predictions, Oi are the hourly observations
and Omean is the observed observation mean.
The probability density functions illustrate good agreement between predicted and observed meteorological data,
which is to be expected given the assimilation of data at the Tewantin monitoring station. The wind speeds and
temperatures generated by TAPM are within the benchmark ranges for Bias, RMSE and index of agreement for
the BoM Tewantin monitoring station.
The results of the validation showed that the model generally performed well at simulating the meteorology across
the region, with assimilation of the BoM Tewantin observational data significantly improving the model’s predictions.
Figure A4 Probability density functions comparing 2020 observational data (blue) with TAPM data
(red) at the location of the BoM Tewantin monitoring station
Table A1 A comparison of the observational meteorological data with the TAPM output for 2020
at the location of the BoM Tewantin monitoring station
Wind speed Temperature
“Good”
Statistic Observational Observational
value Benchmark TAPM Benchmark TAPM
data data
Mean - - 2.6 2.6 - 21.1 21.0
SD - - 1.6 1.4 - 4.6 3.9
Min - - 0.0 0.0 - 5.7 8.7
Max - - 8.6 7.6 - 34.1 33.7
Bias 0 <±0.5 m/s -0.02 <±0.5 m/s -0.11
Close to
RMSE < 2 m/s 0.73 - 1.87
0
Katestone Environmental Australia Pty Ltd 17 September 2026
D25072-8 Noosa Council - Noosa Composting Odour Assessment - Final Page 29
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