An investigation of extreme daily rainfall in the Mekong River Basin using a gridded precipitation dataset

Ono, Kunio; Kazama, So; Gunawardhana, Luminda Niroshana; Kuraji, Koichiro

doi:10.3178/hrl.7.66

Cited by 15 publications

(16 citation statements)

References 14 publications

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“…Andermann et al [39] shown that for APHRODITE data also it can present relatively good performances in yearly and monthly steps in mountain areas of Himalaya front, and its performances in daily step is still need to be improved. Ono et al [40] also reported that for the heavy rainfall investigation in Mekong River, the local topography is still need to be considered as a correction factor for improving the accurate of APHRODITE data. The results of our research indicate that for their applications in local regions, the applicability, especially, topographic effects should be considered and discussed firstly.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir

Yang

Wang

et al. 2014

PLoS ONE

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Gridded precipitation data are becoming an important source for driving hydrologic models to achieve stable and valid simulation results in different regions. Thus, evaluating different sources of precipitation data is important for improving the applicability of gridded data. In this study, we used three gridded rainfall datasets: 1) National Centers for Environmental Prediction - Climate Forecast System Reanalysis (NCEP-CFSR); 2) Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE); and 3) China trend - surface reanalysis (trend surface) data. These are compared with monitoring precipitation data for driving the Soil and Water Assessment Tool in two basins upstream of Three Gorges Reservoir (TGR) in China. The results of one test basin with significant topographic influence indicates that all the gridded data have poor abilities in reproducing hydrologic processes with the topographic influence on precipitation quantity and distribution. However, in a relatively flat test basin, the APHRODITE and trend surface data can give stable and desirable results. The results of this study suggest that precipitation data for future applications should be considered comprehensively in the TGR area, including the influence of data density and topography.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir

Yang

Wang

et al. 2014

PLoS ONE

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“…For example, Ono el al. [47] found that extreme precipitation derived from the APHRODITE was lower than observations in Laos and Vietnam. Nevertheless, the product remains by far the most reliable precipitation product in this region since it employs a large number of rain gauges to generate precipitation estimates [29].…”

Section: Discussionmentioning

confidence: 63%

Changes in Extreme Precipitation in the Mekong Basin

Liu

Bai

Liu

et al. 2020

Advances in Meteorology

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Extreme precipitation events can trigger many natural disasters like floods, mudslides, and landslides. Understanding historical changes in extreme precipitation is critical for disaster prevention and risk assessment. The Mekong River Basin (MB) is vulnerable to natural disasters related to extreme precipitation. In the past ten years, the MB has experienced some destructive extreme precipitation events. Our concern is whether the historical extreme precipitation events in the MB have increased in a warming climate. This study investigates the spatiotemporal changes in extreme precipitation in the MB from 1951 to 2015 using a high-quality precipitation product and eight indices of extreme precipitation. These indices consistently indicate that the trend in extreme precipitation in the Upper Mekong Basin (UMB) is opposite to that in the Lower Mekong Basin (LMB). Extreme precipitation has generally decreased in the UMB but increased in the LMB. The areas with significant increasing extreme precipitation are mainly located in Laos, Vietnam, and Cambodia. The areas with a statistically significant decline in extreme precipitation primarily occur in the Lancang (China’s section of the Mekong river) and Thailand. Also, the magnitude of changes in extreme precipitation is significantly larger in the LMB than that in the UMB, which potentially increases flooding risks in the LMB. The findings from this study are useful for guiding disaster-prevention efforts in the MB.

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“…Such precipitation records are also discontinuous, short term, uncertain, and not even readily available mainly as a result of the various transboundary conflicts among all of the riparian countries concerning the exploitation of available freshwater resources in the LMRB (Lutz et al, 2014;Villafuerte & Matsumoto, 2015). Previous studies have already confirmed the functionality of gauge-based gridded precipitation data sets in assessing precipitation variability and changes in Southeast Asia (Sun et al, 2018;Villafuerte & Matsumoto, 2015;Yatagai et al, 2009Yatagai et al, , 2012, particularly in the LMRB (Chen et al, 2018;Lutz et al, 2014;Ono et al, 2013). Hence, this study extracted high-resolution (0.25°× 0.25°), gauge-based, gridded monthly precipitation time series over the LMRB for the period 1951-2015 from the Global Precipitation Climatology Centre (GPCC) product (Becker et al, 2013;Rudolf et al, 2009;Schneider et al, 2014).…”

Section: Data Descriptionmentioning

confidence: 99%

Influential Climate Teleconnections for Spatiotemporal Precipitation Variability in the Lancang‐Mekong River Basin From 1952 to 2015

2020

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The Lancang-Mekong River Basin (LMRB) in Mainland Southeast Asia is home to~70 million people, mostly living in poverty and typically working in primary freshwater-related sectors, particularly agriculture and fishery. Understanding the mechanisms of the historical variability in precipitation (as the crucial water source) plays a key role in regional sustainable development throughout the LMRB. Herein, the spatiotemporal variability in interannual and intra-annual precipitation over the LMRB was analyzed using the Global Precipitation Climatology Centre (GPCC) data for the period 1952-2015. The empirical orthogonal function (EOF) and wavelet transform coherence methods were utilized to investigate the relationships of such historical variations in annual (water year: November-October), dry season (November-May), and wet season (June-October) precipitation with 13 different climate teleconnections (eight large-scale oceanic-atmospheric circulation patterns and five summer monsoons). On the basin scale, only a significant (p < 0.05) wetting trend in the dry season precipitation (DSP) was uncovered. Spatially, significant wetting (drying) trends in annual precipitation detected over the northeastern (most western) parts of the Mekong River Basin during the water years 1952-2015, largely contributed by the substantial increases (decreases) in historical wet season precipitation. The most important precipitation pattern (EOF1) was identified as a strong (relatively weak) positive center in the eastern (southwestern) Mekong River Basin accompanying by a significantly high (relatively low) positive value for the first EOF mode of the dry season precipitation (wet season precipitation). Precipitation variability in the LMRB was significantly associated with the South Asian Summer Monsoon Index, Southern Oscillation Index, and Indian Summer Monsoon Index. Precipitation is the most basic link between atmospheric (e.g., evaporation and cloud) and land-surface (e.g., soil moisture and infiltration) hydrological processes in the water cycle mechanism (e.g., Andersson et al., 2005). It is also considered to be one of the key hydrometeorological variables for detecting regional climatic changes around the world (e.g.,

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An investigation of extreme daily rainfall in the Mekong River Basin using a gridded precipitation dataset

Cited by 15 publications

References 14 publications

Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir

Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir

Changes in Extreme Precipitation in the Mekong Basin

Influential Climate Teleconnections for Spatiotemporal Precipitation Variability in the Lancang‐Mekong River Basin From 1952 to 2015

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