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Statistical error indicator methods are used to verify the accuracy of the Climate Surface Method.
In this study, an improvement of the Climate Surface is demonstrated and the accuracy and calculation time of the Climate Surface method is compared to the dynamic simulation software EnergyPlus.
It is used in combination of Climate Surface calculation method for predicting heating and cooling energy demand.
Globally significant interactions between climate, surface processes, and tectonics have recently been proposed to explain climate change and mountain building.
Predicted N2O and CH4 emissions indicate significant sensitivity to outputs from the climate (surface temperature and precipitation) and TEM (total soil organic carbon) models.
The Equi-Marginal building optimization method is applied in combination with the Climate Surface to illustrate its reliable and fast calculation results.
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Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change.
Findings reveal the peninsular lake district to be more vulnerable than was previously realized to drier climate, surface-water withdrawals from lakes, and groundwater pumping effects.
Hijmans, R. J. et al. Very high resolution interpolated climate surfaces for global land areas.
Hijmans, R., Cameron, S., Parra, J., Jones, P. & Jarvis, A. The WorldClim interpolated global terrestrial climate surfaces.
Kriticos, D. J. et al. CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling.
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