Tropical Cyclone Simulations with WRF Using  High Performance Computing

Clouthier-Lopez, Jorge; Barrón-Fernández, Ricardo; Salas‐de‐León, David Alberto

doi:10.13053/cys-26-3-4359

Cited by 1 publication

(2 citation statements)

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“…The performance of TC maximum wind speed ( V max ) compared to HKO best tract data is also assessed (see Figure S4 in Supporting Information ), WRF outputs slightly overestimate V max for most TCs, but the trend is well captured by the model for almost all TCs. Here, we would like to emphasize that accurately reproducing the TC as the same as reality is not the main objective in this study, which is very challenging in itself (J. Chen et al., 2022; Clouthier‐López et al., 2022). On the other hand, WRF experiments were conducted mainly to explore the sensitivity of TC precipitation in GBA mega‐city (to different levels of urban development), so that friction and AH impacts can be inferred.…”

Section: Methodsmentioning

confidence: 99%

“…Here, we would like to emphasize that accurately reproducing the TC as the same as reality is not the main objective in this study, which is very challenging in itself (J. Chen et al, 2022;Clouthier-López et al, 2022). On the other hand, WRF experiments were conducted mainly to explore the sensitivity of TC precipitation in GBA mega-city (to different levels of urban development), so that friction and AH impacts can be inferred.…”

Section: Model Evaluation For Tcsmentioning

confidence: 99%

See 1 more Smart Citation

Urbanization Impacts on Tropical Cyclone Rainfall Extremes‐Inferences From Observations and Convection‐Permitting Model Experiments Over South China

Hu,

Tam,

Loi

et al. 2023

JGR Atmospheres

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How urbanization affects tropical cyclone (TC) rainfall is inferred from station observations over the Great Bay Area (GBA, located on the South China coast) and numerical model experiments. Observations from 41 TCs indicate that surface wind is noticeably weaker in urban compared to rural stations during TC passages, while the urban heat island effect is considerably suppressed. Extreme (99th percentile of) hourly rainfall for these TC events during 2008–2017 is more intense over urban compared to rural stations. For eight selected TC cases, dynamical downscaling was carried out using the convection‐resolving Weather Research and Forecasting model, each with three parallel experiments: “Nourban” in which the urban area was replaced by cropland; “AH0” (“AH300”) in which the diurnal maximum anthropogenic heat (AH) was set to 0 (300 W/m2) in city locations. Both AH0 and AH300 show a significant increase in urban hourly rainfall intensity and probability in all ranges (most obvious for heavy rainfall >40 mm/hr), over the GBA mega‐city. Further diagnosis indicates increased moisture flux convergence in urban areas over a 2‐day period during the landfall, contributes to increased rainfall, likely induced by the surface roughness. The influence of AH, however, is found to be insignificant. The increase in accumulated rainfall due to urbanization is proportional to the storm residence time over the city, implying greater rainfall exacerbation for slower or larger TCs. Overall, urbanization intensifies extreme TC rainfall over the coastal GBA mega‐city mainly due to surface frictional convergence, with stronger intensification for storms residing longer over the city.

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Section: Methodsmentioning

confidence: 99%

Section: Model Evaluation For Tcsmentioning

confidence: 99%