Two types of typical circulation pattern for persistent extreme precipitation in Central-Eastern China

2013 ◽  
Vol 140 (682) ◽  
pp. 1467-1478 ◽  
Author(s):  
Yang Chen ◽  
Panmao Zhai
Keyword(s):  
Extreme Precipitation ◽  
Eastern China ◽  
Circulation Pattern ◽  
Central Eastern

Precursors and Formation Mechanisms of Event-based Extreme Precipitation during Springtime in Central-Eastern China

2021 ◽  
pp. 1-42
Author(s):  
Wei Shang ◽  
Xuejuan Ren ◽  
Shuangshuang Li ◽  
Keqin Duan
Keyword(s):  
Water Vapor ◽  
Extreme Precipitation ◽  
Eastern China ◽  
Specific Humidity ◽  
Horizontal Wind ◽  
Formation Mechanisms ◽  
The Sea Of Japan ◽  
Budget Analysis ◽  
Central Eastern ◽  
Event Based

AbstractThis study investigates the precursors and formation mechanisms of spring (April-May) event-based extreme precipitation (EEP) during 1961-2014 in central-eastern China. The EEP events during springtime are primarily characterized by extreme precipitation that occurs at the first half of an event. During early stages of spring EEP events, a Rossby wave grows over Western Europe and the North Atlantic Ocean. The wave propagates eastward toward East Asia, exhibiting a circumglobal teleconnection (CGT) pattern. A strong anticyclone related to the CGT pattern is formed over Japan Islands in the upper troposphere, enhancing the divergence anomalies and bringing more water vapor anomalies from the Sea of Japan into central-eastern China. Meanwhile, the westerly jet jump northward and anomalous southwesterly water vapor flux is significantly prevalent, which is associated with the onset of the Bay of Bengal summer monsoon (BOBSM). Combined the anomalous southwesterly and northeasterly moisture flux into central-eastern China, strong convergence is formed and provided abundant water vapor for the extreme precipitation. The moisture budget analysis further suggests that the dynamic processes associated with horizontal wind anomalies play a crucial role in the moisture convergence for the spring EEP events. The advection of zonal and meridional moisture is strongly related with the anomalous winds of the CGT waves and BOBSM, respectively. While the horizontal thermodynamic processes related to specific humidity and vertical advection contribute much less. The results indicate the preceding signals in the midlatitude and subtropics for the spring EEP events, favoring for extreme precipitation forecasting and hydrological prediction.

Event-based extreme precipitation in Central-Eastern China: large-scale anomalies and teleconnections

2020 ◽  
Vol 54 (3-4) ◽  
pp. 2347-2360 ◽  
Author(s):  
Wei Shang ◽  
Shuangshuang Li ◽  
Xuejuan Ren ◽  
Keqin Duan
Keyword(s):  
Extreme Precipitation ◽  
Large Scale ◽  
Eastern China ◽  
Central Eastern ◽  
Event Based

scholarly journals Precursor Circulation Features for Persistent Extreme Precipitation in Central-Eastern China

2014 ◽  
Vol 29 (2) ◽  
pp. 226-240 ◽  
Author(s):  
Yang Chen ◽  
Panmao Zhai
Keyword(s):  
Extreme Precipitation ◽  
Eastern China ◽  
Height Anomaly ◽  
Positive Anomaly ◽  
Ural Mountains ◽  
Upper Troposphere ◽  
South Asia High ◽  
Extreme Precipitation Events ◽  
Central Eastern ◽  
Standard Deviations

Abstract Using a composite analysis, the typical precursor circulation configuration from the lower to the upper troposphere responsible for persistent extreme precipitation events (PEPEs) of double-blocking-high type in central-eastern China is identified. The potential of these precursors is further assessed based on the composites of normalized anomalies. The composite results reveal that at 500 hPa, about 2 weeks prior to the onset of PEPEs, a positive height anomaly progresses toward the Ural Mountains region from 30°E and another positive anomaly extends southwest from high latitudes toward the Sea of Okhotsk. Afterward, these two positive anomalies grow in magnitude in situ. The double blocking highs are finally well established with height anomalies of 2.4 and 1.8 standard deviations above normal, respectively. At 850 hPa, an anomalous anticyclone originating from the equatorial western Pacific migrates northwestward 1 week prior to the event occurrence, resulting in a greatly intensified moisture transport toward central-eastern China with a magnitude anomaly over four standard deviations above normal. In the upper troposphere, the eastward-extended South Asia high and the southward-displaced westerlies combine to provide favorable upper-level divergence for PEPEs. These composites of the anomalies and normalized anomalies may offer forecasters some useful clues in recognizing significant weather events about 1–2 weeks in advance of an event.

scholarly journals Recognizing the Aggregation Characteristics of Extreme Precipitation Events Using Spatio-Temporal Scanning and the Local Spatial Autocorrelation Model

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 218
Author(s):  
Changjun Wan ◽  
Changxiu Cheng ◽  
Sijing Ye ◽  
Shi Shen ◽  
Ting Zhang
Keyword(s):  
Spatial Autocorrelation ◽  
Extreme Precipitation ◽  
Eastern China ◽  
Temporal Aggregation ◽  
Global Changes ◽  
Percentile Method ◽  
Extreme Precipitation Events ◽  
Spatio Temporal ◽  
Precipitation Events ◽  
Local Spatial Autocorrelation

Precipitation is an essential climate variable in the hydrologic cycle. Its abnormal change would have a serious impact on the social economy, ecological development and life safety. In recent decades, many studies about extreme precipitation have been performed on spatio-temporal variation patterns under global changes; little research has been conducted on the regionality and persistence, which tend to be more destructive. This study defines extreme precipitation events by percentile method, then applies the spatio-temporal scanning model (STSM) and the local spatial autocorrelation model (LSAM) to explore the spatio-temporal aggregation characteristics of extreme precipitation, taking China in July as a case. The study result showed that the STSM with the LSAM can effectively detect the spatio-temporal accumulation areas. The extreme precipitation events of China in July 2016 have a significant spatio-temporal aggregation characteristic. From the spatial perspective, China’s summer extreme precipitation spatio-temporal clusters are mainly distributed in eastern China and northern China, such as Dongting Lake plain, the Circum-Bohai Sea region, Gansu, and Xinjiang. From the temporal perspective, the spatio-temporal clusters of extreme precipitation are mainly distributed in July, and its occurrence was delayed with an increase in latitude, except for in Xinjiang, where extreme precipitation events often take place earlier and persist longer.

Characterization of aerosol acidity at a high mountain site in central eastern China

2012 ◽  
Vol 51 ◽  
pp. 11-20 ◽  
Author(s):  
Yang Zhou ◽  
Likun Xue ◽  
Tao Wang ◽  
Xiaomei Gao ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Eastern China ◽  
High Mountain ◽  
Aerosol Acidity ◽  
Mountain Site ◽  
Central Eastern

scholarly journals Relative pollen productivity estimates for major plant taxa of cultural landscapes in central eastern China

2017 ◽  
Vol 26 (6) ◽  
pp. 587-605 ◽  
Author(s):  
Furong Li ◽  
Marie-José Gaillard ◽  
Shinya Sugita ◽  
Florence Mazier ◽  
Qinghai Xu ◽  
...  
Keyword(s):  
Cultural Landscapes ◽  
Eastern China ◽  
Pollen Productivity ◽  
Central Eastern

scholarly journals Spring Extreme Precipitation Days in North China and Their Reliance on Atmospheric Circulation Patterns During 1979–2019

2022 ◽  
pp. 1-41
Keyword(s):  
Climate Variability ◽  
Atmospheric Circulation ◽  
Extreme Precipitation ◽  
Interannual Variation ◽  
North China ◽  
Circulation Pattern ◽  
Southerly Wind ◽  
Atmospheric Circulation Patterns ◽  
Rain Gauges ◽  
Circulation Patterns

Abstract The interannual variation of springtime extreme precipitation (SEP) days in North China (NC) and their reliance on atmospheric circulation patterns are studied by using the continuous daily record of 396 rain gauges and the fifth generation of the European Centre for Medium-Range Weather Forecasts atmospheric reanalysis during 1979–2019. The SEP days are defined as the days when at least 10% of rain gauges in NC record daily precipitation no less than 10.5 mm. Results show that the number of SEP days shows large interannual variability but no significant trend in the study period. Using the objective classification method of the obliquely rotated principal analysis in T-mode, we classify the atmospheric circulation into five different patterns based on the geopotential height at 700 hPa. Three circulation patterns all have fronts and are associated with strong southerly wind, leading to 88% of SEP days in NC. The strong southerly wind may provide moisture and dynamic forcing for the frontal precipitation. The interannual variation of SEP days is related with the number of the three above-mentioned dominant circulation patterns. Further analysis shows that the West Pacific pattern could be one of the possible climate variability modes related to SEP days. This study reveals that the daily circulation pattern may be the linkage between SEP days and climate variability modes in NC.

scholarly journals Polarimetric Radar Signatures and Performance of Various Radar Rainfall Estimators during an Extreme Precipitation Event over the Thousand-Island Lake Area in Eastern China

2019 ◽  
Vol 11 (20) ◽  
pp. 2335 ◽  
Author(s):  
Yabin Gou ◽  
Haonan Chen ◽  
Jiafeng Zheng
Keyword(s):  
Extreme Precipitation ◽  
Rapid Development ◽  
Eastern China ◽  
Rain Gauge ◽  
Extreme Precipitation Event ◽  
Precipitation Event ◽  
Distribution Data ◽  
Lake Area ◽  
Polarimetric Radar ◽  
Radar Rainfall

Polarimetric radar provides more choices and advantages for quantitative precipitation estimation (QPE) than single-polarization radar. Utilizing the C-band polarimetric radar in Hangzhou, China, six radar QPE estimators based on the horizontal reflectivity (ZH), specific attenuation (AH), specific differential phase (KDP), and double parameters that further integrate the differential reflectivity (ZDR), namely, R(ZH, ZDR), R(KDP, ZDR), and R(AH, ZDR), are investigated for an extreme precipitation event that occurred in Eastern China on 1 June 2016. These radar QPE estimators are respectively evaluated and compared with a local rain gauge network and drop size distribution data observed by two disdrometers. The results show that (i) although R(AH, ZDR) underestimates in the light rain scenario, it performs the best among all radar QPE estimators according to the normalized mean error; (ii) the optimal radar rainfall relationship and consistency between radar measurements aloft and their surface counterparts are both required to obtain accurate rainfall estimates close to the ground. The contamination from melting layer on AH and KDP can make R(AH), R(AH, ZDR), R(KDP), and R(KDP, ZDR) less effective than R(ZH) and R(ZH,ZDR). Instead, adjustments of the α coefficient can partly reduce such impact and hence render a superior AH–based rainfall estimator; (iii) each radar QPE estimator may outperform others during some time intervals featured by particular rainfall characteristics, but they all tend to underestimate rainfall if radar fails to capture the rapid development of rainstorms.

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