-
In this study, PHREs in the YHRV between 1981 and 2020 were classified by utilizing the daily precipitation data from 2,420 national stations in China. The objective selection was based on the following criteria: more than 10 grids (0.25° × 0.25°) in the area with daily precipitation of more than 50 mm lasting more than 5 days with rainband coincidence in two adjacent days greater than 20% (interruption of at most 1 day is allowed) (Wang et al., 2014). Since Wang et al. (2014) used 756 national stations to identify PHREs, use of both 756 stations and 2,420 stations data were compared in this study. We found that the criteria worked well for both datasets, that chosen events from both datasets during 1981–2011 were roughly the same, and that most of the identified non-typhoon PHREs in the YHRV were consistent with the events in other studies (Chen and Zhai, 2013).
Objective pattern correlation statistics for rainbands regions (Santer et al., 1993) were used to classify the PHREs in the YHRV (Fig. 1). After eliminating the cases with correlation coefficient < |0.3|, a total of 39 PHREs were classified into three types (Table 1): rainbands in the southern part of the YHRV (type-A), rainbands in the northern part of the YHRV (type-B), and rainbands along the Yangtze River Valley (type-C). A typical rainbands for each of the three types is shown in Fig. 1. The rainbands of all three types were found to be oriented zonally, however, most of the remaining 12 rainbands were oriented meridionally, and in some cases, the centers were positioned near the western boundary of the YHRV. Four PHREs occurred in 2020 (Fig. 1), which is the only mei-yuseason during 1981–2020 that included all three PHRE types. Hu et al. (2013) used rotated empirical orthogonal function analysis to obtain three precipitation patterns to the east of 110°E, i.e., the “South” pattern, the Yangtze–Huaihe pattern, and the Yangtze pattern, which are similar to the three types of events in our study. They also revealed that the precipitation of the Yangtze pattern shows no significant relationship with that of the South pattern or the Yangtze–Huaihe pattern, acting as a more independent precipitation pattern.
Figure 1. The accumulated precipitation (shadings, mm) and corresponding standardized anomalies (black contour) of the PHREs. Typical events of (a) type-A (12–27 June 1998), (b) type-B (29 June–12 July 1991), (c) type-C (24 June–1 July 1999), and the four events that occurred in 2020: (d) 2–6 June (type-A); (e) 12–23 June (type-B); (f) 15–20 July (type-B); (g) 2–10 July (type-C). The pink rectangle indicates the YHRV.
NO Start date End date Duration (days) Type A
Events1 28 Jun 1989 4 Jul 1989 7 2 2 Jul 1992 8 Jul 1992 7 3 12 Jun 1994 21 Jun 1994 10 4 7 Jul 1997 12 Jul 1997 6 5 12 Jun 1998 27 Jun 1998 16 6 8 Jun 2000 12 Jun 2000 5 7 14 Jun 2002 18 Jun 2002 5 8 18 Jun 2005 22 Jun 2005 5 9 4 Jun 2006 8 Jun 2006 5 10 17 Jun2010 25 Jun2010 9 11 18 Jun 2014 24 Jun 2014 7 12 11 Jun 2016 18 Jun 2016 8 13 3 Jul 2019 10 Jul 2019 8 14 2 Jun 2020 6 Jun 2020 5 Type B
Events1 18 Jul 1982 22 Jul 1982 5 2 23 Jun1983 27 Jun 1983 5 3 18 Jul 1983 23 Jul 1983 6 4 2 Jul 1987 6 Jul 1987 5 5 12 Jun 1991 16 Jun 1991 5 6 29 Jun 1991 12 Jul 1991 14 7 28 Jun 1996 6 Jul 1996 9 8 14 Jul 1996 18 Jul 1996 5 9 19 Jun2000 28 Jun2000 10 10 19 Jun2002 23 Jun2002 5 11 30 Jun 2003 4 Jul 2003 5 12 6 Jul 2005 10 Jul 2005 5 13 29 Jul 2006 3 Jul 2006 5 14 5 Jul 2007 9 Jul 2007 5 15 1 Jul 2016 6 Jul 2016 6 16 12 Jun 2020 23 Jun 2020 12 17 15 Jul 2020 20 Jul 2020 6 Type C
Events1 27 Jun 1981 1 Jul 1981 5 2 4 Jul 1983 10 Jul 1983 7 3 18 Jun 1988 22 Jun 1988 5 4 30 May 1995 3 Jun 1995 5 5 20 Jul 1998 26 Jul 1998 7 6 24 Jun 1999 1 Jul 1999 8 7 7 Jun 2015 11 Jun 2015 5 8 2 Jul 2020 10 Jul 2020 9 Table 1. The classification of PHREs without the effect of typhoon over the YHRV during 1981–2020.
Composite analysis is an effective method to explore the synoptic-scale characteristics of a particular meteorological phenomenon. In this study, we applied composite analysis on the newly released daily reanalysis data from National Centers for Environmental Prediction and Department of Energy (NCEP/DOE) with a horizontal resolution of 2.5° × 2.5° (Kanamitsu et al., 2002) to analyze the composite circulation pattern of the PHREs and the individual events.
-
The HYSPLIT model (Draxler and Hess, 1998; Stein et al., 2015) was applied to reveal the trajectories of the moisture and cold air responsible for the PHREs over the YHRV. The HYSPLIT was run with the NCEP/NCAR reanalysis data available from NOAA’s Air Resources Laboratory. The dataset contains several basic fields, including the u and v components of the horizontal wind, vertical velocity, temperature, and relative humidity, that are archived every 6 h with a spatial resolution of 2.5° × 2.5° across the world.
A backward-trajectory analysis was conducted for each PHRE to trace the cold air back to its source and track the water vapor transport. The HYSPLIT model was used to calculate 240 h back trajectories for air parcels at three critical levels (500 m, 1500 m and 3000 m) over the YHRV region (27.5°–35°N, 112.5°–122.5°E) at 6 h intervals. The cluster technique was used to minimize the intra-cluster differences among trajectories while maximizing the inter-cluster differences, to extract patterns that help to understand the major features. The clustering of trajectories is based on the total spatial variance method (Draxler, 1999), and the optimal number of clusters is determined by calculating the sum of all clusters’ total spatial variance for all the possible number of clusters until the total variance of the individual trajectories about their cluster mean starts to increase substantially (Stein et al., 2015).
The total moisture supply contribution is calculated as
where m is the number of trajectories in each cluster, n is the total number of trajectories in all clusters, and qit is the specific humidity of the air parcel at each time step along each trajectory (240 for the 240 h backward tracking in this study).
-
Quasi-stationary Rossby wave propagation associated with the PHREs was analyzed by applying the wave-activity flux defined by Takaya and Nakamura (2001). This flux is independent of the wave phase and is parallel to the local group velocity of a stationary Rossby wave train in the Wentzel–Kramers–Brillouin approximation, indicating the energy propagation direction. The wave-activity flux W, defined in the log-pressure coordinate, can be expressed as
where
$ \psi ' $ denotes the perturbation geostrophic stream function,${\boldsymbol{u'}} = \left( {u',v'} \right)$ is the perturbation geostrophic wind velocity,${\boldsymbol{U}} = \left( {u,v} \right)$ is a horizontal basic flow velocity,$ p $ is the pressure in hPa,$ {R_{\text{a}}} $ is the gas constant of dry air,$ {H_0} $ is the constant scale height,$ {N^2} $ is the Brunt–Väisälä frequency, and$ T' $ is the perturbation temperature. The flux is useful for illustrating a “snapshot” of a packet of stationary Rossby waves propagating through the zonally asymmetric westerlies. By applying the flux, the dynamics of the summer blocking high over East Asia (Nakamura and Fukamachi, 2004; Shi et al., 2016) and the summer Pacific–Japan teleconnection pattern (Kosaka and Nakamura, 2006) have been investigated through composite analyses. Bueh et al. (2008) and Zong et al. (2014) also used this flux to discuss the possible mechanisms of the snowy and rainy weather processes in South China in January 2008. In the evaluation of composite energy propagation, anomalies associated with the PHREs are regarded as stationary Rossby waves embedded in the climatological mean in three dimensions for the same periods over the 30 years (from 1981 to 2010). However, for the evolution of energy propagation in an individual event, the 31-day running-mean field is regarded as the basic state in which stationary Rossby waves are embedded, and the 5-day low-pass anomalies are regarded as the wave-associated fluctuations.
NO | Start date | End date | Duration (days) | |
Type A Events | 1 | 28 Jun 1989 | 4 Jul 1989 | 7 |
2 | 2 Jul 1992 | 8 Jul 1992 | 7 | |
3 | 12 Jun 1994 | 21 Jun 1994 | 10 | |
4 | 7 Jul 1997 | 12 Jul 1997 | 6 | |
5 | 12 Jun 1998 | 27 Jun 1998 | 16 | |
6 | 8 Jun 2000 | 12 Jun 2000 | 5 | |
7 | 14 Jun 2002 | 18 Jun 2002 | 5 | |
8 | 18 Jun 2005 | 22 Jun 2005 | 5 | |
9 | 4 Jun 2006 | 8 Jun 2006 | 5 | |
10 | 17 Jun2010 | 25 Jun2010 | 9 | |
11 | 18 Jun 2014 | 24 Jun 2014 | 7 | |
12 | 11 Jun 2016 | 18 Jun 2016 | 8 | |
13 | 3 Jul 2019 | 10 Jul 2019 | 8 | |
14 | 2 Jun 2020 | 6 Jun 2020 | 5 | |
Type B Events | 1 | 18 Jul 1982 | 22 Jul 1982 | 5 |
2 | 23 Jun1983 | 27 Jun 1983 | 5 | |
3 | 18 Jul 1983 | 23 Jul 1983 | 6 | |
4 | 2 Jul 1987 | 6 Jul 1987 | 5 | |
5 | 12 Jun 1991 | 16 Jun 1991 | 5 | |
6 | 29 Jun 1991 | 12 Jul 1991 | 14 | |
7 | 28 Jun 1996 | 6 Jul 1996 | 9 | |
8 | 14 Jul 1996 | 18 Jul 1996 | 5 | |
9 | 19 Jun2000 | 28 Jun2000 | 10 | |
10 | 19 Jun2002 | 23 Jun2002 | 5 | |
11 | 30 Jun 2003 | 4 Jul 2003 | 5 | |
12 | 6 Jul 2005 | 10 Jul 2005 | 5 | |
13 | 29 Jul 2006 | 3 Jul 2006 | 5 | |
14 | 5 Jul 2007 | 9 Jul 2007 | 5 | |
15 | 1 Jul 2016 | 6 Jul 2016 | 6 | |
16 | 12 Jun 2020 | 23 Jun 2020 | 12 | |
17 | 15 Jul 2020 | 20 Jul 2020 | 6 | |
Type C Events | 1 | 27 Jun 1981 | 1 Jul 1981 | 5 |
2 | 4 Jul 1983 | 10 Jul 1983 | 7 | |
3 | 18 Jun 1988 | 22 Jun 1988 | 5 | |
4 | 30 May 1995 | 3 Jun 1995 | 5 | |
5 | 20 Jul 1998 | 26 Jul 1998 | 7 | |
6 | 24 Jun 1999 | 1 Jul 1999 | 8 | |
7 | 7 Jun 2015 | 11 Jun 2015 | 5 | |
8 | 2 Jul 2020 | 10 Jul 2020 | 9 |