Correction: Jang, D., et al. The Downscaling Study for Typhoon-Induced Coastal Inundation. Water 2020, 12 , 1103

The authors wish to make the following corrections to this paper [...]


Change in Main Body Paragraphs
We have recently changed the model for wave condition of KMA-CoWW3 model by Korea Meteorological Administration instead of the Simulating WAve Nearshore (SWAN). CoWW3 model is the most reliable model for the prediction of wave mechanics and is also developed based on the WW3 (WAVEWATCH3) model. WAVEWATCH3 (WAVE-height, WATer depth and Current Hindcasting) is developed at NOAA/NCEP with the WAM model and has being used in the field for the wave forecast. Wave and its components are numerically solved based on the random phase spectral action density balance equation for wavenumber-direction spectra (WW3 manual, 2019). This model used regular grid in a spherical or Cartesian coordinate (optionally). The CoWW3 model was optimized for wave forecasting of Korea based on WW3 by Korea Meteorological Administration (KMA) and has been operated since 2008 in South Korea. Additionally, we excluded the validation contents of the previous model, SWAN because we replaced and used more reliable and currently used models in the field. Therefore, we have also corrected all descriptions and applications about wave simulation in several parts of this paper, as follows: This Administration which provides the overall results for the meteorological monitoring and prediction in South Korea, respectively [32,33].
Lastly, SWAN computations can be made on a regular, curvilinear grid, and a triangular mesh in a Cartesian or spherical coordinate system. It was developed by Delft University of Technology, and computes random, short-crested wind-generated waves in coastal and inland regions To correct the model description, we would like to make the following corrections: Lastly, wave computations by CoWW3, which is developed based on WW3 (WAVEWATCH3), can be made on a regular grid in a Cartesian or spherical coordinate system. WAVEWATCH3 is developed at NOAA/NCEP (National Oceanic and Atmospheric Administration/National Center for Environmental Prediction) with the WAM model, and has been used in the field of wave forecasting. Wave and its components are numerically solved based on the random phase spectral action density balance equation for wavenumber-direction spectra [34][35][36][37].
Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using SWAN. Simulated wave height is depicted in Figure 9 with the contour map. Figure 10 shows the verification of wave modeling.
To correct the scientific description and exclude the unnecessary contents about previous model validation in Figure 10, we would like to make the following corrections: Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using CoWW3 model [32,33]. The simulated wave height is depicted in Figure 9 with the contour map.
These changes have no material impact on the conclusions of our paper. We apologize to our readers.

Change in Figures/Tables
The author wishes to make the following correction to this paper [1]. Due to replacement of the wave model, replace: Water 2020, 12, x FOR PEER REVIEW 2 of 8 Lastly, SWAN computations can be made on a regular, curvilinear grid, and a triangular mesh in a Cartesian or spherical coordinate system. It was developed by Delft University of Technology, and computes random, short-crested wind-generated waves in coastal and inland regions To correct the model description, we would like to make the following corrections: Lastly, wave computations by CoWW3, which is developed based on WW3 (WAVEWATCH3), can be made on a regular grid in a Cartesian or spherical coordinate system. WAVEWATCH3 is developed at NOAA/NCEP (National Oceanic and Atmospheric Administration/National Center for Environmental Prediction) with the WAM model, and has been used in the field of wave forecasting. Wave and its components are numerically solved based on the random phase spectral action density balance equation for wavenumber-direction spectra [34][35][36][37].
Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using SWAN. Simulated wave height is depicted in Figure 9 with the contour map. Figure 10 shows the verification of wave modeling.
To correct the scientific description and exclude the unnecessary contents about previous model validation in Figure 10, we would like to make the following corrections: Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using CoWW3 model [32,33]. The simulated wave height is depicted in Figure 9 with the contour map.
These changes have no material impact on the conclusions of our paper. We apologize to our readers.

Change in Figures/Tables
The author wishes to make the following correction to this paper [1]. Due to replacement of the wave model, replace:  Lastly, SWAN computations can be made on a regular, curvilinear grid, and a triangular mesh in a Cartesian or spherical coordinate system. It was developed by Delft University of Technology, and computes random, short-crested wind-generated waves in coastal and inland regions To correct the model description, we would like to make the following corrections: Lastly, wave computations by CoWW3, which is developed based on WW3 (WAVEWATCH3), can be made on a regular grid in a Cartesian or spherical coordinate system. WAVEWATCH3 is developed at NOAA/NCEP (National Oceanic and Atmospheric Administration/National Center for Environmental Prediction) with the WAM model, and has been used in the field of wave forecasting. Wave and its components are numerically solved based on the random phase spectral action density balance equation for wavenumber-direction spectra [34][35][36][37].
Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using SWAN. Simulated wave height is depicted in Figure 9 with the contour map. Figure 10 shows the verification of wave modeling.
To correct the scientific description and exclude the unnecessary contents about previous model validation in Figure 10, we would like to make the following corrections: Therefore, to consider the wave-driven effect on downscaling for coastal inundation, we simulated the wave motion using CoWW3 model [32,33]. The simulated wave height is depicted in Figure 9 with the contour map.
These changes have no material impact on the conclusions of our paper. We apologize to our readers.

Change in Figures/Tables
The author wishes to make the following correction to this paper [1]. Due to replacement of the wave model, replace:   The author wishes to make the following correction to this paper [1]. Due to re-labeling, replace: Water 2020, 12, x FOR PEER REVIEW 3 of 8 The author wishes to make the following correction to this paper [1]. Due to re-labeling, replace: The author wishes to make the following correction to this paper [1]. Due to the re-modeling of CoWW3, replace: with Water 2020, 12, x FOR PEER REVIEW 3 of 8 The author wishes to make the following correction to this paper [1]. Due to re-labeling, replace: The author wishes to make the following correction to this paper [1]. Due to the re-modeling of CoWW3, replace: The author wishes to make the following correction to this paper [1]. Due to the re-modeling of CoWW3, replace:   The author wishes to make the following correction to this paper [1]. Due to the modelling of CoWW3, replace: The author wishes to make the following correction to this paper [1]. Due to the modelling of CoWW3, replace:   The author wishes to make the following correction to this paper [1]. Due to the modelling of CoWW3, replace:   The author wishes to make the following correction to this paper [1]. Due to modelling CoWW3, replace: The author wishes to make the following correction to this paper [1]. Due to modelling CoWW3, replace: The authors would like to apologize for any inconvenience caused to the readers by these changes.
All of these changes have no material impact on the conclusions of our paper. We apologize to our readers.