Next Article in Journal
Enhancing Potential of Trimethylamine Oxide on Atmospheric Particle Formation
Previous Article in Journal
Levels and Sources of Atmospheric Particle-Bound Mercury in Atmospheric Particulate Matter (PM10) at Several Sites of an Atlantic Coastal European Region
Open AccessArticle

Precipitation Forecast Contribution Assessment in the Coupled Meteo-Hydrological Models

Department of Civil & Environmental Engineering, Sejong University, Seoul 05006, Korea
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 34; https://doi.org/10.3390/atmos11010034
Received: 28 October 2019 / Revised: 21 December 2019 / Accepted: 25 December 2019 / Published: 27 December 2019
(This article belongs to the Section Meteorology)
A numerical weather prediction and a rainfall-runoff model employed to evaluate precipitation and flood forecast for the Imjin River (South and North Korea). The real-time precipitation at point and catchment scales evaluated to select proper hydrological model to couple with atmospheric model. As a major limitation of previous studies, temporal and spatial resolutions of hydrological model are smaller than those of meteorological model. Here, through high resolution of temporal (10 min) and spatial (1 km × 1 km), the optimal resolution determined. The results showed Weather Research and Forecasting (WRF) model underestimated precipitation in point and catchment assessment and its skill was relatively higher for catchment than point scale, as illustrated by the lower Root Mean Square Error (RMSE) of 59.67, 160.48, 68.49 for the catchment and 84.49, 212.80 and 91.53 for the point scale in the events 2002, 2007 and 2011, respectively. The findings led to choose the semi-distributed hydrological model. The variations in temporal and spatial resolutions illustrated accuracy decrease; additionally, the optimal spatial resolution obtained at 8 km and temporal resolution did not affect the inherent inaccuracy of the results. Lead-time variation demonstrated that lead-time dependency was almost negligible below 36 h. With reference to this study, comparisons of model performance provided quantitative knowledge for understanding credibility and restrictions of meteo-hydrological models. View Full-Text
Keywords: precipitation; meteorological forecast; WRF; NWP; meteo-hydrological models; real-time flood precipitation; meteorological forecast; WRF; NWP; meteo-hydrological models; real-time flood
Show Figures

Figure 1

MDPI and ACS Style

Jabbari, A.; So, J.-M.; Bae, D.-H. Precipitation Forecast Contribution Assessment in the Coupled Meteo-Hydrological Models. Atmosphere 2020, 11, 34.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop