Next Article in Journal
Characteristics of PM10 Chemical Source Profiles for Geological Dust from the South-West Region of China
Next Article in Special Issue
The Influence of an Increase of the Mediterranean Sea Surface Temperature on Two Nocturnal Offshore Rainbands: A Numerical Experiment
Previous Article in Journal
Removal of Low-Molecular Weight Aldehydes by Selected Houseplants under Different Light Intensities and CO2 Concentrations
Article Menu

Export Article

Open AccessArticle
Atmosphere 2016, 7(11), 145; doi:10.3390/atmos7110145

Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season

1
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
2
Jiangsu Electric Power Design Institute, Nanjing 211100, China
3
Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China
*
Author to whom correspondence should be addressed.
Academic Editor: Jordi Mazon
Received: 8 October 2016 / Revised: 8 November 2016 / Accepted: 9 November 2016 / Published: 17 November 2016
(This article belongs to the Special Issue WRF Simulations at the Mesoscale: From the Microscale to Macroscale)
View Full-Text   |   Download PDF [34485 KB, uploaded 17 November 2016]   |  

Abstract

In recent years, the Weather Research and Forecast (WRF) model has been utilized to generate quantitative precipitation forecasts with higher spatial and temporal resolutions. However, factors including horizontal resolution, domain size, and the physical parameterization scheme have a strong impact on the dynamic downscaling ability of the WRF model. In this study, the influence of these factors has been analyzed in precipitation forecasting for the Xijiang Basin, southern China—a region with complex topography. The results indicate that higher horizontal resolutions always result in higher Critical Success Indexes (CSI), but higher biases as well. Meanwhile, the precipitation forecast skills are also influenced by the combination of microphysics parameterization scheme and cumulus convective parameterization scheme. On the basis of these results, an optimized configuration of the WRF model is built in which the horizontal resolution is 10 km, the microphysics parameterization is the Lin scheme, and the cumulus convective parameterization is the Betts–Miller–Janjic scheme. This configuration is then evaluated by simulating the daily weather during the 2013–2014 flood season. The high Critical Success Index scores and low biases at various thresholds and lead times confirm the high accuracy of the optimized WRF model configuration for Xijiang Basin. However, the performance of the WRF model varies from different sub-basins due to the complexity of the mesoscale convective system (MCS) over this region. View Full-Text
Keywords: the Weather Research and Forecast Model; precipitation; Xijiang Basin; horizontal resolution; domain size; physical parameterization scheme the Weather Research and Forecast Model; precipitation; Xijiang Basin; horizontal resolution; domain size; physical parameterization scheme
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, Y.; Lu, G.; Wu, Z.; He, H.; Shi, J.; Ma, Y.; Weng, S. Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season. Atmosphere 2016, 7, 145.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top