Persistent Spring Shortwave Cloud Radiative Effect and the Associated Circulations over Southeastern China

2019 ◽  
Vol 32 (11) ◽  
pp. 3069-3087 ◽  
Author(s):  
Jiandong Li ◽  
Wei-Chyung Wang ◽  
Jiangyu Mao ◽  
Ziqian Wang ◽  
Gang Zeng ◽  
...  
Keyword(s):  
Water Vapor ◽  
Tibetan Plateau ◽  
South China Sea ◽  
South China ◽  
Water Vapor Transport ◽  
Radiation Balance ◽  
Radiative Effect ◽  
Southeastern China ◽  
China Sea ◽  
Cloud Radiative Effect

Abstract Clouds strongly modulate regional radiation balance and their evolution is profoundly influenced by circulations. This study uses 2001–16 satellite and reanalysis data together with regional model simulations to investigate the spring shortwave cloud radiative effect (SWCRE) and the associated circulations over southeastern China (SEC). Strong SWCRE, up to −110 W m−2, persists throughout springtime in this region and its spring mean is the largest among the same latitudes of the Northern Hemisphere. SWCRE exhibits pronounced subseasonal variation and is closely associated with persistent regional ascending motion and moisture convergence, which favor large amounts of cloud liquid water and resultant strong SWCRE. Around pentad 12 (late February), SWCRE abruptly increases and afterward remains stable between 22° and 32°N. The thermal and dynamic effects of Tibetan Plateau and westerly jet provide appropriate settings for the maintenance of ascending motion, while water vapor, as cloud water supply, stably comes from the southern flank of the Tibetan Plateau and South China Sea. During pentads 25–36 (early May to late June), SWCRE is further enhanced by the increased water vapor transport caused by the march of East Asian monsoon systems, particularly after the onset of the South China Sea monsoon. After pentad 36, these circulations quickly weaken and the SWCRE decreases accordingly. Individual years with spring strong and weak rainfall are chosen to highlight the importance of the strength of the ascending motion. The simulation broadly reproduced the observed results, although biases exist. Finally, the model biases in SWCRE–circulation associations are discussed.

Erosional history of the eastern Tibetan Plateau since 190 kyr ago: clay mineralogical and geochemical investigations from the southwestern South China Sea

2004 ◽  
Vol 209 (1-4) ◽  
pp. 1-18 ◽  
Author(s):  
Zhifei Liu ◽  
Christophe Colin ◽  
Alain Trentesaux ◽  
Dominique Blamart ◽  
Franck Bassinot ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
South China Sea ◽  
South China ◽  
Eastern Tibetan Plateau ◽  
China Sea ◽  
History Of

scholarly journals Changing Relationship Between Tibetan Plateau Temperature and South China Sea Summer Monsoon Precipitation

2020 ◽  
Vol 8 ◽  
Author(s):  
Mei Liang ◽  
Jianjun Xu ◽  
Johnny C. L. Chan ◽  
Liguang Wu ◽  
Xiangde Xu
Keyword(s):  
Tibetan Plateau ◽  
South China Sea ◽  
Summer Monsoon ◽  
South China ◽  
Negative Correlation ◽  
The South China Sea ◽  
Monsoon Precipitation ◽  
The South ◽  
China Sea ◽  
The Relationship

The present study documents the changes in the relationship between the Tibetan Plateau summer surface temperature (TPST) and the South China Sea summer monsoon precipitation (SCSSMP). A stepwise regression model is used to exclude the signals of global warming, El Niño–Southern Oscillation (ENSO), western North Pacific Subtropical High (WNPSH), Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO). The results indicate that the relationship between TPST–SCSSMP changes with time, going from a negative correlation during the period of 1980–1994 to an obvious positive correlation during 1998–2016 in the South China Sea. Meanwhile, the negative correlation between TPST and the East Asia subtropical front (Meiyu) is enhanced during 1998–2016. This change in the TPST–SCSSMP relationship is associated with the change of the atmospheric circulation, which is mainly due to TPST interdecadal variation. A wave–like structure at the low latitude moves eastward along the low–level monsoon flow, and a strong cyclonic circulation is apparent in the southwestern part of the Plateau, including the Indochina Peninsula, South China Sea, and the ocean to the east of the Philippines, which is consistent with the negative correlation between TPST and Outgoing Longwave Radiation (OLR). The increase in water–vapor convergence and more favorable convection conditions lead to more precipitation in the region after the late 1990s. The present results suggest that, in a changing climate, we should be cautious when using predictor with interdecadal variations.

scholarly journals The Physical Mechanisms Behind the Change in the Precipitation Recycling Rate in the Mid- and Lower Reaches of the Yangtze River

2021 ◽  
Vol 9 ◽  
Author(s):  
Wen-Kang Guo ◽  
Xi-Yu Wang ◽  
Wang-Ze Gao ◽  
Jia-Hua Yong ◽  
Xin-Yue Bao ◽  
...  
Keyword(s):  
Water Vapor ◽  
South China Sea ◽  
South China ◽  
External Source ◽  
Recycling Rate ◽  
Northwest Pacific ◽  
China Sea ◽  
Physical Mechanisms ◽  
The Pacific ◽  
Precipitation Recycling

The precipitation recycling rate (PRR) is an important index when trying to understand the physical mechanisms behind the effects of different sources of water vapor on regional precipitation. We studied the change in the PRR in the mid- and lower reaches of the Yangtze River (MLRYR), the correlation between the PRR and the external source of water vapor and local evaporation, and the possible reasons for the interannual variation of the PRR. Our study was based on an evaluation model of the PRR and used precipitation data from meteorological stations in China and NCEP/NCAR reanalysis datasets. Our results show that the mean PRR in the MLRYR for the time period 1961–2017 was largest in autumn (about 0.3) and smallest in summer (about 0.23), with a clear upward trend (passed the 95% significance F-test), except in summer. The highest trend coefficient of the PRR was in autumn (0.38), indicating that the contribution of an external source of water vapor to local precipitation was reduced. The PRR of the MLRYR was strongly correlated with the input of water vapor through the western and southern boundaries. Water vapor was mainly sourced from the Northwest Pacific Ocean, the South China Sea and the Bay of Bengal. The anomalous Northwest Pacific cyclone induced by the Pacific sea surface temperature restrained the input of water vapor into the MLRYR from the Western Pacific, the South China Sea and the Bay of Bengal, contributing to the upward trend in the PRR. We suggest that increases in the sea surface temperature in the Pacific Ocean, South China Sea and especially the Indian Ocean will have an important impact on precipitation in East Asia.

scholarly journals Analysis of the 2008 heavy snowfall over South China using GPS PWV measurements from the Tibetan Plateau

2010 ◽  
Vol 28 (6) ◽  
pp. 1369-1376 ◽  
Author(s):  
Y. Xie ◽  
F. Wei ◽  
G. Chen ◽  
T. Zhang ◽  
L. Hu
Keyword(s):  
Water Vapor ◽  
Tibetan Plateau ◽  
South China ◽  
Numerical Models ◽  
Heavy Precipitation ◽  
Vapor Transport ◽  
Water Vapor Transport ◽  
The Tibetan Plateau ◽  
Good Opportunity ◽  
The One

Abstract. Four successive storms with freezing rain and snow blanketed South China from 10 January–2 February 2008, when the precipitation increased more than 200%–300% above the average for the corresponding period. The unusual atmospheric circulation associated with these disasters was caused by many complex physical processes, one of which was the active southern branch of currents over low latitude ocean areas which provided plenty of water vapor for South China. The ground-based GPS Precipitable Water Vapor (PWV) measurements on the Tibetan Plateau, supported by the China and Japan Intergovernmental Cooperation Program (JICA), has compensated for the lack of conventional observations of atmospheric water vapor in this area and provided a good opportunity to analyze the character of the water vapor transport in the four heavy precipitation processes. It was found that the GPS stations located on the southeastern Tibetan Plateau were on the route of the water vapor transport during 25 January–29 January and 31 January–2 February when two heavy precipitation events occurred over South China. The increasing trend from the one to two days pre-observation by the GPS stations was then associated with the heavy precipitation. Precipitation during 10 January–16 January and 18 January–22 January was significantly related to the abnormal variation of the one day pre-observation by the GPS stations located on the northeastern Tibetan Plateau. This research indicates that ground-based GPS measurements are applicable to data assimilation in operational numerical models.

scholarly journals Evaluation of the ability of the Chinese stalagmite δ<sup>18</sup>O to record the variation in atmospheric circulation during the second half of the 20th century

2014 ◽  
Vol 10 (3) ◽  
pp. 975-985 ◽  
Author(s):  
S. Nan ◽  
M. Tan ◽  
P. Zhao
Keyword(s):  
Water Vapor ◽  
South China Sea ◽  
South China ◽  
Bay Of Bengal ◽  
North Pacific ◽  
Western North Pacific ◽  
Large Scale ◽  
The South China Sea ◽  
The South ◽  
China Sea

Abstract. The Chinese stalagmite δ18O (δ18Ocs) has provoked debate worldwide over the past few years due to its lack of quantitative calibration, leading us to questions of whether δ18Ocs records a local or large-scale signal and whether δ18Ocs records the signal of a single remote water vapor source or multiple water vapor sources. In this study, we observe all of the δ18Ocs trends within the instrumental period to verify whether they possess a common trend, which could be used as a basis to determine whether the trends reflect the large-scale signal together or whether each trend reflects the local signal. The results show that most of the δ18Ocs experienced a linear increase from 1960 to 1994, which may indicate that the δ18Ocs could record a trend occurring in large-scale atmosphere circulations. We then quantitatively describe the proportion of water vapor transport (WVT) from different source regions. Using the NCEP/NCAR (National Centers for Environmental Protection/National Center for Atmospheric Research) reanalysis data from 1960 to 1994, the ratios of the intensities of three WVTs from the Bay of Bengal, the South China Sea, and the western North Pacific during the summer are calculated. We define RSCS/BOB as the ratio of the WVT intensities from the South China Sea to those from the Bay of Bengal, RWNP/BOB as the ratio of the WVT intensities from the western North Pacific to those from the Bay of Bengal, and RWNP/SCS as the ratio of the WVT intensities from the western North Pacific to those from the South China Sea. The significant decadal increase occurs in the time series of RWNP/BOB and RWNP/SCS, most likely resulting from the strengthening of the WVT from the western North Pacific in the late 1970s due to the western Pacific subtropical high that extended westward. Further analysis indicates that when the equatorial central and eastern Pacific is in the El Niño phase, the sea surface temperature (SST) in the tropical Indian Ocean, the Bay of Bengal, and the South China Sea is high, and the SST at the middle latitudes in the North Pacific is low, then the RWNP/BOB and RWNP/SCS values tend to be high. After the late 1970s, the equatorial central and eastern Pacific have often been in the El Niño phase. Therefore, we confirm that the δ18Ocs primarily records the variation in atmospheric circulation during the second half of the 20th century.

scholarly journals The impact of land cover generated by a dynamic vegetation model on climate over East Asia in present and possible future climate

2014 ◽  
Vol 5 (2) ◽  
pp. 1319-1357
Author(s):  
M.-H. Cho ◽  
K.-O. Boo ◽  
G. M. Martin ◽  
J. Lee ◽  
G.-H. Lim
Keyword(s):  
South China Sea ◽  
Land Cover ◽  
Land Cover Change ◽  
South China ◽  
Future Climate ◽  
Radiative Effect ◽  
Vegetation Model ◽  
Dynamic Vegetation Model ◽  
China Sea ◽  
Systematic Biases

Abstract. This study investigates the impacts of land cover change, as simulated by a dynamic vegetation model, on the summertime climatology over Asia. The climate model used in this study has systematic biases of underestimated rainfall around Korea and overestimation over the South China Sea. When coupled to a dynamic vegetation model, the resulting change in land cover is accompanied by an additional direct radiative effect over dust-producing regions. The direct radiative effect of the additional dust contributes to increasing the rainfall biases, while the land surface physical processes are related to local temperature biases such as warm biases over North China. In time-slice runs for future climate, as the dust loading changes, anomalous anticyclonic flows are simulated over South China Sea, resulting in reduced rainfall over the South China Sea and more rainfall toward around Korea and South China. In contrast with the rainfall changes, the influence of land cover change and the associated dust radiative effects are very small for future projection of temperature, which is dominated by atmospheric CO2 increase. The results in this study suggest that the land cover simulated by a dynamic vegetation model can affect, and be affected by, model systematic biases on regional scales over dust emission source regions such as Asia. In particular, analysis of the radiative effects of dust changes associated with land cover change is important in order to understand future changes of regional precipitation in global warming.

scholarly journals Water vapor isotopes indicating rapid shift among multiple moisture sources for the 2018–2019 winter extreme precipitation events in southeastern China

2022 ◽  
Vol 26 (1) ◽  
pp. 117-127
Author(s):  
Tao Xu ◽  
Hongxi Pang ◽  
Zhaojun Zhan ◽  
Wangbin Zhang ◽  
Huiwen Guo ◽  
...  
Keyword(s):  
Water Vapor ◽  
South China ◽  
Extreme Precipitation ◽  
Southeastern China ◽  
China Sea ◽  
Moisture Source ◽  
Moisture Sources ◽  
Source Regions ◽  
Extreme Precipitation Events ◽  
Precipitation Events

Abstract. In the East Asian monsoon region, winter extreme precipitation events occasionally occur and bring great social and economic losses. From December 2018 to February 2019, southeastern China experienced a record-breaking number of extreme precipitation events. In this study, we analyzed the variation in water vapor isotopes and their controlling factors during the extreme precipitation events in Nanjing, southeastern China. The results show that the variations in water vapor isotopes are closely linked to the change in moisture sources. Using a water vapor d-excess-weighted trajectory model, we identified the following five most important moisture source regions: South China, the East China Sea, the South China Sea, the Bay of Bengal, and continental regions (northwestern China and Mongolia). Moreover, the variations in water vapor d excess during a precipitation event reflect rapid shifts in the moisture source regions. These results indicate that rapid shifts among multiple moisture sources are important conditions for sustaining wintertime extreme precipitation events over extended periods.

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