Abstract

An impactful and poorly forecasted heavy rainfall event was observed in association with the Meiyu front over the Yangtze River valley of China from 30 June–4 July 2016. Operational global numerical weather prediction models for almost all forecast lead times beyond 24 h incorrectly forecasted the location and intensity of the precipitation associated with this event. This study presents the first examination of this poleward bias in the operational models for the Meiyu front, which has been frequently noted by meteorologists at the Chinese Meteorological Administration, and explores areas of forecast error and uncertainty in the prediction of the position of the primary frontal rainbelt that is crucial to the placement and intensity of the heavy rainfall. A new zonal mean maximum accumulated precipitation index is introduced and utilized to identify members in the European Centre for Medium-Range Forecasts (ECMWF) Ensemble Prediction System (EPS) that either perform well or perform poorly in forecasting the location of the Meiyu front. Using this new precipitation metric, five-member subgroups representing the EPS members that were most accurate and those that incorrectly displace the Meiyu front the furthest north were identified. An analysis of composite mean fields for the EPS subgroups and the correlation between the rain band placement and the 500 hPa heights was performed for several EPS model runs. We showed that a successful prediction of the location of the Meiyu front rainbelt position by the EPS is most sensitive to the intensity of the 500 hPa trough located over eastern China for the event. The ensemble members that had the largest northward error in the location of the rain band were found to have a more intense 500 hPa trough than the members that more accurately predicted the rainbelt. The more intense upper level trough was found to have enhanced the lower tropospheric southerly flow equatorward of the front and led to a less zonal-oriented Meiyu front, resulting in a northward displacement of both the rainbelt and the regions of more intense precipitation rates. Finally, an examination of the evolution of the differences between the subgroups shows that the primary differences in 500 hPa intensity propagate in-phase with the 500 hPa trough. We show that it is the intensity of the trough, rather than the rate of propagation, that is the most important source of forecast dissimilarities between the successful and failed forecasts.

Highlights

  • There exist three rainy seasons in east China from the boreal spring to autumn [1,2]:(1) The Pre-Summer Rainy Season; (2) The Meiyu season; and (3) The North and Northeast rainy season.Atmosphere 2019, 10, 648; doi:10.3390/atmos10110648 www.mdpi.com/journal/atmosphereThese seasons are strongly influenced by the western Pacific subtropical high (WPSH) and the southAsian high, which shifts the Southeast Asian monsoon from south to north

  • The relatively compact and pseudo-stationary nature of the Meiyu front has resulted in natural disasters in portions of south central and eastern China due to extreme rainfall events [1,7,8,9,10]

  • Circulation that forms as a result of the Evolution convergence between southerly flow associated with the WPSH and the midlatitude air mass

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Summary

Introduction

There exist three rainy seasons in east China from the boreal spring to autumn [1,2]:. High-latitude blocking, primarily located near the Ural Mountains and the Sea of Okhotsk, has been noted to be an important precursor to the onset of the Meiyu season [15] When both regions are subject to blocking, upper tropospheric winds over eastern China becomes either stagnant or gain an anomalous southerly component. The predictability of the Meiyu precipitation band position for a high-impact rainfall event that occurred over eastern China from 30 June–4 July 2016 (Figure 1) will be discussed. This study will focus less on the initial conditions and more on the evolution of the model in the medium range in identifying what features contribute to errors in the forecasted location and intensity of the Meiyu precipitation band. Of the 120-h accumulated precipitation the event period was

30 Junethe to 0000
30 June–4
Deterministic ECMWF Forecasts
July from consecutive of thedeterministic
ECMWF EPS Forecast
Time evolution
Diagnosis of Forecast Error
Temporal Evolution of Forecast Error
29 July approximately
29 Juneprecipitation were analyzed
15. Evolution
Summary and Discussions
July The
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