Analysis of a Convective Storm Crossing Poyang Lake in China

Zou, Haibo; Zhang, Shuwen; Liu, Yanan; Zhang, Weidong; Yang, Xixi

doi:10.1007/s13351-020-9143-5

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…The PRE increased significantly while the change of GPP was not obvious, therefore, PUE showed a significant downward trend in 2003. Zou et al showed that, in 2007, there was little difference in PRE in spring and summer compared with the previous year, but in autumn and winter, there were rare autumn rains in the northern region, and PRE increased significantly, so PUE decreased (Zou et al, 2008). Compared with normal years, in 2011, China showed a situation of “flood in the north and drought in the south”, with more PRE, and at the same time, the temperature in the LP was 0.2°C lower than that of the previous year, which led to a small decrease in GPP, and therefore the PUE value fell to a valley.…”

Section: Resultsmentioning

confidence: 99%

“…In 2003, the national annual average precipitation was higher than normal, and the distribution of precipitation was uneven.The average PRE in the LP in 2003 increased significantly compared with the previous consecutive drought years. The PRE increased significantly while the change of GPP was not obvious, therefore, PUE showed a significant downward trend in 2003.Zou et al showed that, in 2007, there was little difference in PRE in spring and summer compared with the previous year, but in autumn and winter, there were rare autumn rains in the northern region, and PRE increased significantly, so PUE decreased(Zou et al, 2008). Compared with normal years, in 2011, China showed a situation of "flood in the north and drought in the south", with more PRE, and at the same time, the temperature in the LP was 0.2 C lower than that of the previous year, which led to a small decrease in GPP, and therefore the PUE value fell to a valley.The average GPP, PRE, and PUE of vegetation in the LP from 2001 to 2018 had strong spatial heterogeneity (Figure3).…”

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confidence: 99%

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Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Shi,

Zhang,

Ding

et al. 2024

Hydrological Processes

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Against the background of climate change, the global carbon and water cycle has undergone significant changes, and it is of great significance to explore the interrelationships of the carbon and water cycles in different regions to cope with future climate change. In this study, based on gross primary productivity (GPP) and precipitation (PRE) data, the precipitation use efficiency (PUE) of the Loess Plateau (LP) was calculated, and the Sen trend analysis and Mann‐Kendall test were used to analyse the temporal and spatial variation characteristics of PUE, as well as the first‐order difference method was used to derive the relative contributions to quantify the impact of vegetation growth and meteorological factors on PUE. The results show that (1) from 2001 to 2018, the spatial distribution pattern of vegetation PUE exhibited an increasing trend from northwest to southeast. On the time scale, the multi‐year average value of PUE was 1.17 gC m−2 mm−1, showing an overall upward trend. Among the different land cover types, paddy fields had the highest PUE level, and sparse grassland had the lowest; (2) LAI had the highest relative contribution to vegetation PUE, followed by temperature (Temp), net radiation of the ground surface (RN), specific humidity (Shum), and wind speed (WS). LAI contributes positively to 88.9% of the area. RN positively influences high‐altitude areas, while Shum had a larger area with a negative contribution. The contribution of Temp increases from northwest to southeast, and WS has balanced positive and negative contributions; (3) LAI is the dominant factor for the spatial and temporal variation of PUE in the LP, and the size of the areas where different meteorological factors dominate the changes of PUE are as follows: WS > Shum>RN > Temp. At high altitudes, the dominant meteorological driver is WS, while at low altitudes, the dominant climate driver is Shum. This study is of guiding significance for the ecological restoration and management of the LP, and it can also provide a scientific basis for the improvement of ecosystems and the sustainable management of water resources in the context of global climate change.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Shi,

Zhang,

Ding

et al. 2024

Hydrological Processes

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“…In contrast, at night, the large lake-land temperature difference (the lake is warmer than land) can yield the land breeze with air flowing to lake from nearby land. e land breeze converges air over PL, resulting in ascending motion over PL, even maybe enhancing the crossing storm [36]. e evolution of the observed 2 m air temperature difference between Fengxin (far away from PL and Nanchang city) and Duchang (nearby PL) or Poyang (nearby PL) also shows that the sites nearby PL are cooler than the site far away from PL (Figure 9(b)), further confirming the PL as a cold source in daytime.…”

Section: Discussion On the Causes Of Diurnal Variations Of Gps Pwvmentioning

confidence: 99%

The Diurnal Variations of GPS PWV near Poyang Lake in China during Midsummer

Zou

2020

Advances in Meteorology

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With the 1 h-averaged data of atmospheric precipitable water vapor (PWV) for 2015–2018 retrieved from 18 ground-based Global Positioning System (GPS) observation stations near Poyang Lake (PL), China, the diurnal variations of the PWV during midsummer (July-August) are studied by the harmonic method. Results show that significant diurnal variations of PWV are found at the 18 GPS stations. The harmonics with 24 h cycle (diurnal cycle) over PL (i.e., Duchang and Poyang) and Nanchang city only have about 50% (or even smaller than 50%) of variance contribution with the amplitude of about 0.2 mm, while above 70% (or even 80%) of variance contribution occurs elsewhere around PL, with the amplitude of about 0.9 mm. The harmonics with diurnal cycles in most stations peak from afternoon to evening (i.e., 1200-2000 LST), but one exception is Duchang site, where the diurnal cycle peaks in the morning (i.e., 1000 LST). Moreover, the harmonics with 12 h cycle (semidiurnal cycle) have the relatively uniform amplitude of about 0.2 mm, but their variance contributions show uneven distribution, with the contributions of about or above 50% in PL and Nanchang city (the semidiurnal cycles peak about 0000 LST or 1200 LST) and below 30% (or even 10%) in other areas. The preliminary diagnosis analysis shows that the diurnal variation of the low-level (below 850 hPa) air temperature (increasing after the sunrise, decreasing after the sunset, and peaking around 1400-1800 LST) may be responsible for the diurnal cycle. Moreover, in PL (Duchang and Poyang) and Nanchang city, the effects (heating or cooling) of lake and urban, the diurnal variation of the 10 m wind over PL, and the acceleration of PL on overlying air also contributed to the diurnal variation of PWV.

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“…This phenomenon not only occurs in large and deep lakes, but also in small and medium-sized lakes [21,22]. In addition, lakes will also affect the movement and intensity of the transit weather system, which will lead to changes in the temporal and spatial distribution of precipitation [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Impact of Interaction between Metropolitan Area and Shallow Lake on Daily Extreme Precipitation over Eastern China

Gao

2022

Atmosphere

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Both cities and lakes have significant impacts on regional precipitation. With global warming, extreme precipitation events in Eastern China have increased significantly, and the single/joint influences of metropolises and lakes on extreme precipitation still need to be quantitatively evaluated. To reveal the impact of the single/joint influences of metropolises and lakes on the shear line torrential rain process, the Suzhou-Wuxi-Changzhou Metropolitan Area (SXCMA) and Lake Taihu in Eastern China were selected as the study area. Utilizing a WRF model, comparative studies of sensitivity simulations were conducted for the two typical extreme precipitation events caused by the low-level shear line (LLSL) on 27 June 2015 (EP627) and 25 September 2017 (EP925). Both results show that the existence of Lake Taihu and SXCMA will increase precipitation in the study area. SXCMA has a more obvious effect on enhancing precipitation, which is about twice the effect of Lake Taihu. SXCMA mainly strengthens the intensity and movement of the surface convergence line (SCL) in the study area and indirectly affects the shift of the LLSL, which finally affects the intensity and location of precipitation. Lake Taihu affects the intensity and movement of SCL, triggering ground vertical convections due to lower surface roughness, and acts as a land-lake breeze and water vapor source, which will affect the distribution and intensity of precipitation.

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Analysis of a Convective Storm Crossing Poyang Lake in China

Cited by 12 publications

References 37 publications

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

The Diurnal Variations of GPS PWV near Poyang Lake in China during Midsummer

Impact of Interaction between Metropolitan Area and Shallow Lake on Daily Extreme Precipitation over Eastern China

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