2020
DOI: 10.1007/s00704-020-03187-3
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Influence of land use on the performance of the WRF model in a humid tropical climate

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Cited by 5 publications
(4 citation statements)
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“…In other cases, generally no statistically significant differences were found (Figure 4). The presented conclusions are in agreement with the results of studies [63,100] where a similar increase in temperature prediction accuracy was identified with the use of finer grid resolutions. However, [100] pointed out that the resolution of 3 km is satisfying, since lesser computational costs allowed more simulations to be carried out in the same amount of time.…”
Section: Grid Resolutionsupporting
confidence: 91%
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“…In other cases, generally no statistically significant differences were found (Figure 4). The presented conclusions are in agreement with the results of studies [63,100] where a similar increase in temperature prediction accuracy was identified with the use of finer grid resolutions. However, [100] pointed out that the resolution of 3 km is satisfying, since lesser computational costs allowed more simulations to be carried out in the same amount of time.…”
Section: Grid Resolutionsupporting
confidence: 91%
“…However, in the case of the MC and LV experiments, the index of agreement reached IOA ≥ 0.8 (see Supplementary Materials), which is in agreement with the criteria established in [81]. It should be emphasized that the presented results of the temperature prediction accuracy do not differ from the outcomes in other studies concerning computational grid resolution [1,63,86,100]. Comparative analysis of the temperature modeling evaluation unambiguously indicates that the use of a finer grid resolution (1 km) yields higher accuracy.…”
Section: Grid Resolutionsupporting
confidence: 88%
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“…The local wind field in the study area is simulated using the WRF [50] model combined with the BEP [51] urban canopy model [68,69]. Due to the accelerating urbanization process and the failure to update the WRF land surface data in a timely and effective manner, there is a significant deviation between the actual observations of the meteorological environment and the simulation results of the WRF model [70][71][72][73]. Therefore, this study first extracts the urban impermeable surface information using the normalized difference impervious surface index (NDISI) developed by Xu [74] and refines the urban built-up areas into "low-density areas", "medium-density areas" and "high-density areas" according to their NDISI differences to optimize the land use data in the WRF model [75,76].…”
Section: Simulation Of Local Wind Fieldmentioning
confidence: 99%