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3.1 details the model setup and growth determinant variables used, including the aggregate infrastructure index.
The model setup and calibration is based almost entirely on globally available remote sensing data.
The details of the model setup and of the results are shown in Additional file 1: Text S2.
Afterwards, we define the model setup and methodology, and lastly, we discuss the results and limitations of the study.
This numerical experiment with the ensemble runs also provided guidance on an optimum model setup and input data.
The monitored long-term observation monthly groundwater table depth data series from 2000 to 2011 are used in model setup and prediction.
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The objective of the model is to add value to existing monthly model setups and to provide daily water balance data for a water quality model.
Recovery factors are evaluated for several different model setups and we find that storing 90 °C water at 2500 m depth is capable of reproducing, on average 67% of the stored energy.
Based on the complete aligned data sets, we further conducted Maximum Likelihood (ML) tree reconstructions with the RAxML v7.2.6 software package [ 31- 33] with (1) a standard DNA model setups and (2) 13 mixed RNA/DNA model setups.
The Additional file 1 spreadsheet contains all benchmark parameters and data, model setup information, and model results.
Additional file 1: Excel spreadsheet containing all benchmark parameters and data, model setup information, and model results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com