THESIS
2018
xiii, 87 pages : illustrations, maps ; 30 cm
Abstract
The atmospheric moisture transport plays an important role in the global
water circulation and it is proven to be related to the hydrometeorological
extremes (e.g. extreme precipitation and flooding) in recent years. The
Atmospheric Rivers (ARs) is defined as long narrow corridors with enhanced
moisture transport in the lower atmosphere, which transport plenty of moisture
from tropical ocean to extratropical continental regions, and also have a significant
contribution to the hydrometeorological extremes in the extratropical continents.
There are considerable ARs occur in the East Asia (EA), while the study of ARs
receive less scientific attention in the EA, compare to other regions (e.g., the west
coast of the US and the Europe). The flood events and extreme precipitation caus...[
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The atmospheric moisture transport plays an important role in the global
water circulation and it is proven to be related to the hydrometeorological
extremes (e.g. extreme precipitation and flooding) in recent years. The
Atmospheric Rivers (ARs) is defined as long narrow corridors with enhanced
moisture transport in the lower atmosphere, which transport plenty of moisture
from tropical ocean to extratropical continental regions, and also have a significant
contribution to the hydrometeorological extremes in the extratropical continents.
There are considerable ARs occur in the East Asia (EA), while the study of ARs
receive less scientific attention in the EA, compare to other regions (e.g., the west
coast of the US and the Europe). The flood events and extreme precipitation caused
by the ARs can bring enormous socioeconomic impacts in the EA, including the
Yangtze River Basin (YRB). Because of the complicated and distinct climate system
in the EA, the approaches for AR identification in other regions are not suitable to
be applied in the EA directly, which implies the necessity of a specific algorithm
for AR identification in the EA. In this study, regarding the Flood Triggering
Extreme Precipitation Sequences (FTEPSs) in the YRB as a pilot, a trajectory
identification algorithm is proposed for the ARs identification via the Integrated
Water Vapor Transport (IVT) field. Based on the identified ARs, the
spatiotemporal association between the ARs and the hydrometeorological
extremes is addressed and the spatiotemporal characteristics of the ARSs in the
YRB is analyzed. 37 of the 56 FTEPSs are related to ARSs in this study. For the
flooding and extreme precipitation in the YRB, oceanic start regions of AR are the
Bay of Bengal, South China Sea, even the Arabian Sea. Also, there exist some ARs
start from the Pacific Ocean. In addition, the algorithm proposed in this study can
be extended to other regions by adjusting a few parameters properly.
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