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A Multi-Inventory Ensemble Analysis of the Effects of Atmospheric Rivers on Precipitation and Streamflow in the Namgang-Dam Basin in Korea
Water Resources Research ( IF 4.6 ) Pub Date : 2021-07-19 , DOI: 10.1029/2021wr030058
Young Ryu 1 , Hyejin Moon 1, 2 , Jinwon Kim 1 , Tae‐Jun Kim 1 , Kyung‐On Boo 1 , Bin Guan 3 , Yoichi Kamae 4 , Wei Mei 5 , Chanil Park 6 , Seok‐Woo Son 6 , Young‐Hwa Byun 1
Affiliation  

Atmospheric rivers (ARs) are an important concern in regional water management; however, little is known about the AR impacts on hydrology in East Asia (EA). This study analyzes the characteristics of storms, precipitation (P), streamflow (Q), and runoff coefficient (R) in the Namgang-dam basin in Korea related to ARs for 2000–2013, as well as the sensitivity of the analysis results to AR detection methods, using observed P, Q, and three different AR inventories. The basin experiences 37.3 storms annually, of which 54% are AR storms that provide over 60% of the annual P and Q. The AR (non-AR) storms are dominant in storm frequency and the storm-total P and Q for January–July (August–December) with peaks in July (August). The monthly AR frequency varies closely with the seasonal variations in the EA monsoon and the North Pacific storm track which modulate the number of extratropical cyclones. The AR storms produce most of the extreme events; they also generate larger storm-mean P and Q than the non-AR storms for all months. The seasonal variations in R are related to the total (AR- and non-AR storms combined) P through the seasonal soil water variations, making the AR effects on R unclear. Considering 95% confidence intervals, the AR storms are distinguished well from the non-AR storms in storm frequency and the storm-total and storm-mean P and Q. The sensitivity to AR inventories is not critical in quantifying the AR-storm characteristics and their impacts on hydrologic variables except for R.

中文翻译:

韩国南江坝流域大气河流对降水和水流影响的多清单集合分析

大气河流 (AR) 是区域水资源管理中的一个重要问题;然而,关于 AR 对东亚 (EA) 水文的影响知之甚少。本研究分析了韩国南江坝流域 2000-2013 年与 AR 相关的风暴、降水(P)、径流(Q)和径流系数(R)的特征,以及分析结果对AR 检测方法,使用观察到的PQ和三种不同的 AR 库存。流域每年经历 37.3 场风暴,其中 54% 是 AR 风暴,提供超过 60% 的年度PQ。AR(非 AR)风暴在风暴频率和风暴总1 月至 7 月(8 月至 12 月)的PQ 值在 7 月(8 月)达到峰值。每月的 AR 频率与 EA 季风和北太平洋风暴路径的季节性变化密切相关,后者调节温带气旋的数量。AR风暴产生了大部分极端事件;它们还产生比所有月份的非 AR 风暴更大的风暴平均PQ。R的季节性变化通过季节性土壤水分变化与总(AR 和非 AR 风暴组合)P 相关,使得 AR 对R 的影响不清楚。考虑到 95% 的置信区间,AR 风暴在风暴频率以及风暴总和风暴平均PQ 方面与非 AR 风暴区分开来。在量化 AR 风暴特征及其对除R之外的水文变量的影响时,对 AR 清单的敏感性并不重要。
更新日期:2021-07-30
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