2015–16 floods and droughts in China, and its response to the strong El Niño

Ma, Feng; Ye, Aizhong; You, Jinjun; Duan, Qingyun

doi:10.1016/j.scitotenv.2018.01.280

Cited by 63 publications

(31 citation statements)

References 42 publications

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“…The magnitude and frequency of floods and droughts, companied with substantially social and economic losses, are increasing with global warming in many regions around the world [1][2][3]. Hydrological simulations are the major tool of water resource management for forecasting floods and droughts [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Zhou

Gao

Yang

et al. 2019

Water

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Evaluating the hydrological application of reanalysis datasets is of practical importance for the design of water resources management and flood controlling facilities in regions with sparse meteorological data. This paper compared a new reanalysis dataset named CMADS with gauge observations and investigated the performance of the hydrological application of CMADS on daily streamflow, evapotranspiration, and soil moisture content simulations. The results show that: CMADS can represent meteorological elements including precipitation, temperature, relative humidity, and wind speed reasonably for both daily and monthly temporal scales while underestimates precipitation compared with gauge observations slightly (<15%). The hydrological model using CMADS dataset as meteorological inputs can capture the daily streamflow chracteristics well overall (with a NS value of 0.56 during calibration period and 0.61 during validation period) but underestimates streamflow obviously (with a BIAS of −42.42% during calibration period and a BIAS of −33.29% during validation period). The underestimation of streamflow simulated with CMADS dataset is more seriously in dry seasons (−48.40%) than that in wet seasons (−39.41%) for calibration period. The model driven by CMADS estimates evapotranspiration and soil moisture content well compared with the model driven by gauge observations.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Zhou

Gao

Yang

et al. 2019

Water

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“…El Niño events tend to dry southern Africa in various patterns and magnitudes of precipitation anomalies, with strong El Niño events resulting in rainfall deficits often less than −0.88 standardized units [13]. The response of China's hydroclimate anomalies to a strong El Niño event is significant via El Niño and warm Indian Ocean-induced circulation anomalies [14]. The ENSO has a strong impact on the total northern hemispheric polar cold air mass amount below a potential temperature of 280 K [15].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Pattern Differences between Satellite-Observed Upper Tropospheric Humidity and Total Column Water Vapor during Major El Niño Events

2018

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As part of the activities for the Global Energy and Water Exchanges (GEWEX) water vapor assessment project, the consistency of satellite-observed upper tropospheric humidity (UTH) and total column water vapor (TCWV) is examined. The examination is focused on their respective patterns during major El Niño events. The analysis shows that the two datasets, consisting of one measurement of vertically averaged relative humidity in the upper troposphere and one of absolute water vapor integrated over the atmospheric vertical column with dominant contribution from the lower troposphere, are consistent over the equatorial central-eastern Pacific, both showing increases of water vapor during major El Niño events as expected. However, the magnitude of drying in the TCWV field over the western Pacific is much weaker than that of moistening over the central-eastern Pacific, while the UTH field exhibits equivalent magnitude of drying and moistening. Furthermore, the drying in the UTH field covers larger areas in the tropics. The difference in their patterns results in an opposite phase in the time series during a major El Niño event when a tropical average is taken. Both UTH and TCWV are closely correlated with major climate indices. However, they have significantly different lag correlations with the Niño 3.4 index in both the sign (positive or negative) and lag time over tropical oceans.

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“…The 2015 calendar year had a large positive anomaly in precipitation in the Guilin region: total annual rainfall was 3006 mm (data source: http://data.cma.cn/), ̃1118 mm greater than that of average years due to a strong El Niño event (Ma et al . 2018). It was the greatest in historical rainfall records since 1951.…”

Section: Discussionmentioning

confidence: 99%

Individual event, seasonal and interannual variations in δ¹⁸O values of drip water in Maomaotou Big Cave, Guilin, South China, and their implications for palaeoclimatic reconstructions

Yin

Tang

et al. 2020

Boreas

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Accurately interpreting the stable oxygen isotopic composition (δ18O) of cave drip water is critical to the retrieval of palaeoclimatic information based on the δ18O records preserved in speleothem calcite. Substantial cave monitoring data sites of interest can make essential contributions. In this study, six speleothem drip water sites and one pool water site were selected for a five‐year (2013–2017) monitoring of O and H stable isotope ratios in Maomaotou Big Cave, Guilin, South China. The results reveal that the drip water δ18O generally inherits the signals in the precipitation but may lag behind by times ranging from 1 to 6 months. Variations in drip water δ18O are determined by climatic variables operating over several time scales. At the individual storm‐event scale, drip water δ18O is a function of rainfall amount, moisture source δ18O and hydrological processes within the vadose zone. Moisture from nearby Beibu Bay in the northwest of the South China Sea often causes the rainfall and thus drip water to be enriched in 18O at Maomaotou Cave, for example. Seasonally or annually, the higher amounts of precipitation associated with the occurrence of El Niño events (e.g. in 2015/2016) result in more depleted drip water δ18O. On the interannual scale, variations of drip water δ18O are linked to changes in the intensity of the East Asian summer monsoon (EASM), the Southern Oscillation Index (SOI) and the West Pacific Subtropical High (WPSH). An enhanced EASM coupled with La Niña‐like conditions likely results in depleted precipitation δ18O, as does a stronger WPSH that leads to more rainfall. This study illustrates the importance of understanding these complex and varying external environmental conditions that contribute to δ18O changes in drip water, when interpreting the palaeoclimatic information contained in speleothems.

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2015–16 floods and droughts in China, and its response to the strong El Niño

Cited by 63 publications

References 42 publications

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Assessing the Pattern Differences between Satellite-Observed Upper Tropospheric Humidity and Total Column Water Vapor during Major El Niño Events

Individual event, seasonal and interannual variations in δ¹⁸O values of drip water in Maomaotou Big Cave, Guilin, South China, and their implications for palaeoclimatic reconstructions

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2015–16 floods and droughts in China, and its response to the strong El Niño

Cited by 63 publications

References 42 publications

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

Assessing the Pattern Differences between Satellite-Observed Upper Tropospheric Humidity and Total Column Water Vapor during Major El Niño Events

Individual event, seasonal and interannual variations in δ18O values of drip water in Maomaotou Big Cave, Guilin, South China, and their implications for palaeoclimatic reconstructions

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Individual event, seasonal and interannual variations in δ¹⁸O values of drip water in Maomaotou Big Cave, Guilin, South China, and their implications for palaeoclimatic reconstructions