Water budget on the Dudh Koshi River (Nepal): Uncertainties on precipitation

Savéan, Marie; Dagognet, François; Chevallier, Pierre; Wagnon, Patrick; Gonga-Saholiariliva, Nahossio; Sharma, Rajesh; Neppel, Luc; Arnaud, Yves

doi:10.1016/j.jhydrol.2015.10.040

Cited by 38 publications

(70 citation statements)

References 58 publications

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“…The annual actual evapotranspiration accounted for 26 % of annual total precipitation for Kharikhola and 34 % for Tauche. In comparison, evapotranspiration was estimated at about 20, 14 and 53 % of total annual precipitation, respectively, by Andermann et al (2012), Nepal et al (2014) and Savéan et al (2015) over the entire Dudh Kosi Basin, and Ragettli et al (2015) estimated it at 36.2 % of annual total precipitation for the upper part of the Langtang Basin.…”

Section: Annual Simulated Water Budgetsmentioning

confidence: 96%

“…In this study we used these two catchments as samples to assess generated precipitation fields against observed discharge on the local scale. The hydrological year is considered to start on 1 April, as decided by the Department of Hydrology and Meteorology of the Nepalese Government and generally accepted Savéan et al, 2015).…”

Section: Data and Associated Uncertainties 21 Meteorological Stationmentioning

confidence: 99%

“…Annual snowfall was estimated at, respectively, 15.6 and 51.4 % of annual total precipitation by Savéan et al (2015) (entire Dudh Kosi River basin) and Ragettli et al (2015) (upper part of the Langtang Basin).…”

Section: Annual Simulated Water Budgetsmentioning

confidence: 99%

“…the APHRODITE interpolation product (Yatagai et al, 2012) and the Tropical Rainfall Measuring Mission (TRMM) remote product (Bookhagen and Burbank, 2006), do not represent spatial and temporal variability in orographic effects at a resolution smaller than 10 km (GongaSaholiariliva et al, 2016). Consequently, substantial uncertainty remains in water budgets simulated for this region, as highlighted by Savéan et al (2015). In this context, groundbased measurements condensed in small areas have been shown to enhance the characterization of local variability in orographic processes (Andermann et al, 2011;Pellicciotti et al, 2012;Immerzeel et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Eeckman¹,

Chevallier²,

Boone³

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. This paper provides a new representation of the effect of altitude on precipitation that represents spatial and temporal variability in precipitation in the Everest region. Exclusive observation data are used to infer a piecewise linear function for the relation between altitude and precipitation and significant seasonal variations are highlighted. An original ensemble approach is applied to provide non-deterministic water budgets for middle and high-mountain catchments. Physical processes at the soilatmosphere interface are represented through the Interactions Soil-Biosphere-Atmosphere (ISBA) surface scheme. Uncertainties associated with the model parametrization are limited by the integration of in situ measurements of soils and vegetation properties. Uncertainties associated with the representation of the orographic effect are shown to account for up to 16 % of annual total precipitation. Annual evapotranspiration is shown to represent 26 % ± 1 % of annual total precipitation for the mid-altitude catchment and 34% ± 3 % for the high-altitude catchment. Snowfall contribution is shown to be neglectable for the mid-altitude catchment, and it represents up to 44 % ± 8 % of total precipitation for the highaltitude catchment. These simulations on the local scale enhance current knowledge of the spatial variability in hydroclimatic processes in high-and mid-altitude mountain environments.

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Section: Annual Simulated Water Budgetsmentioning

confidence: 96%

Section: Data and Associated Uncertainties 21 Meteorological Stationmentioning

confidence: 99%

Section: Annual Simulated Water Budgetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Eeckman¹,

Chevallier²,

Boone³

et al. 2017

Hydrol. Earth Syst. Sci.

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“…Various hydrological modelling approaches have been set up for several basins of the central Himalayas, at different spatio-20 temporal scales, from physically-oriented representations of processes, such as TOKAPI by (Pellicciotti et al, 2012) or SWAT by (Bharati et al, 2016), to more conceptual ones, such as SRM by (Immerzeel et al, 2010), GR4J by (Andermann et al, 2012) and (Pokhrel et al, 2014), GR4JSG by (Nepal et al, 2017a), SPHY by (Lutz et al, 2014), HDSM by (Savéan et al, 2015) and J2000 by Nepal et al ( , 2017b. However, large discrepancies remain in the representation of hydrological processes among several studies at a regional scale stemming from the variation in modelling applications, input data and the processes 25 taken into account.…”

Section: Introductionmentioning

confidence: 99%

Assessing reliability of hydrological simulations through model intercomparison at the local scale in the Everest region

Eeckman¹,

Nepal²,

Chevallier³

et al. 2017

Preprint

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Abstract. Understanding hydrological processes of high-altitude areas is vital because downstream communities depend on water resources for their livelihood. This paper compares the hydrological responses at the local scale of two models using different degrees of refinement to represent physical processes in sparsely instrumented mountainous Himalayan catchments.Two small catchments located in mid-and high-mountain environments were chosen to represent the very different climatic and physiographic characteristics of the Central Himalayas in the Everest region of eastern Nepal. This work presents the novelty 5 of applying, at a small spatio-temporal scale and under the same forcing conditions, a fully distributed surface scheme based on mass and energy balance equations (ISBA surface scheme), and a semi-distributed calibrated model (J2000 hydrological model). A new conceptual module coupled to the ISBA surface scheme for flow routing is presented. The results show that both models describe the evapotranspiration, quick runoff and discharge processes in a similar way. The reliability of the simulations for these variables can therefore be considered as satisfactory. The differences in the structure and results of the two models 10 mainly concern the water storages and flows in the soil, in particular for the high-mountain catchment. This conclusion suggests that the uncertainty associated with model structure is significant for water storage and flow in the soil. entral Himalayas; ISBA surface scheme; J2000 model ; water budget at the local scale; structural uncertainty; 1 Hydrol. Earth Syst. Sci. Discuss., https://doi

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Atmospheric simulation‐based precipitation datasets outperform satellite‐based products in closing basin‐wide water budget in the eastern Tibetan Plateau

Jiang

Yang

et al. 2022

Intl Journal of Climatology

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Satellite-based precipitation products (SBPs) have been widely used in hydrological applications in recent decades but may contain large uncertainties in mountainous regions. Atmospheric simulation-based datasets (ABDs) have been greatly improved in recent years, but their applications in mountainous hydrology are rare and need further validation. This study compares the performance of three SBPs and two ABDs in the mountainous Minjiang River basin, focusing on their potential for closing the basin-wide water budget. The three SBPs include the China Merged Precipitation Analysis (CMPA), the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) and the Global Satellite Mapping of Precipitation (GSMaP); the two ABDs are the fifth generation Reanalysis product of the European Centre for Medium Range Weather Forecasts (ERA5) and the High Asia Refined Analysis Version 2 (HAR V2). The five products are validated with rain gauge data and results show that all the five products except IMERG can generally reproduce the spatial pattern and elevation dependence of observed precipitation. Particularly, precipitation amount in the two ABDs is close to gauge observations in the low elevations, but much more than the gauge observations in areas with a sharp rise in elevations. Assessment of water budget shows that all SBPs yield severe negative water imbalance (greater than 50.0% of corresponding runoff) at most sub-basins, while the ABDs can better close the water budget with water imbalance values between ±30.0% in most sub-basins, respectively. Further analyses show that large relative differences between SBPs and ABDs mainly occur in areas with large topographical relief and in winter, which is likely because the ABDs outperform the SBPs in capturing orographic precipitation in complex terrain and solid precipitation in winter.

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Water budget on the Dudh Koshi River (Nepal): Uncertainties on precipitation

Cited by 38 publications

References 58 publications

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Assessing reliability of hydrological simulations through model intercomparison at the local scale in the Everest region

Atmospheric simulation‐based precipitation datasets outperform satellite‐based products in closing basin‐wide water budget in the eastern Tibetan Plateau

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