Combined use of volume-area and volume-length scaling relationships in glacio-hydrological simulation

Wang, Xiaolei; Zhang, Yiqing; Luo, Yiqi; Sun, Lin; Shafeeque, Muhammad

doi:10.2166/nh.2018.137

Cited by 8 publications

(8 citation statements)

References 44 publications

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“…The few studies that did not include a formal calibration in the modeling process (uncalibrated models) conducted quite an extensive validation procedure (e.g., Milchmayr et al, 2008; Mimeau et al, 2019; Willis et al, 2002). Lutz et al (2016) and Wang et al (2018) used independent streamflow data from stations inside the catchment. Huss et al (2014) included glacier‐front variations, annual mass balances and streamflow as independent data in the validation process.…”

Section: Validationmentioning

confidence: 99%

Glacio‐hydrological model calibration and evaluation

et al. 2020

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Glaciers are essential for downstream water resources. Hydrological modeling is necessary for a better understanding and for future projections of the water resources in these rapidly changing systems, but modeling glacierized catchments is especially challenging. Here we review a wealth of glacio-hydrological modeling studies (145 publications) in catchments around the world. Major model challenges include a high uncertainty in the input data, mainly precipitation, due to scarce observations. Consequently, the risk of wrongly compensating input with model errors in competing snow and ice accumulation and melt process parameterization is particularly high. Modelers have used a range of calibration and validation approaches to address this issue. The review revealed that while a large part ($35%) of the reviewed studies used only streamflow data to evaluate model performances, most studies ($50%) have used additional data related to snow and glaciers to constrain model parameters. These data were employed in a variety of calibration strategies, including stepwise and multi-signal calibration. Although the primary aim of glaciohydrological modeling studies is to assess future climate change impacts, longterm changes have rarely been taken into account in model performance evaluations. Overall, a more precise description of which data are used how for model evaluation would facilitate the interpretation of the simulation results and their uncertainty, which in turn would support water resources management. Moreover, there is a need for systematic analyses of calibration approaches to disentangle what works best and why. Addressing this need will improve our system understanding and model simulations of glacierized catchments.

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Section: Validationmentioning

confidence: 99%

Glacio‐hydrological model calibration and evaluation

et al. 2020

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“…The UIB has been facing challenges of meteorological data scarcity and quality in addition to severe impacts of climate change. Many gridded datasets with varying spatial and temporal resolutions are available (Sun et al 2018), but their credibility to be applied in glacierized mountain areas is questionable (Wortmann et al 2018). The complex orographic effects, which result due to interactions between elevation and climate, and scarcity of good quality meteorological data limit our understanding of climate change impacts on water availability in glacierized mountain areas.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, uncertainties, biases, and spatiotemporal distribution of precipitation in gridded datasets have broader operational and scientific implications. The biases and errors in the gridded precipitation datasets are usually owing to inadequacies in the data sources and generation mechanisms of these products (Sun et al 2018). The suitability of gridded precipitation datasets must be assessed against a reasonable dataset before using them for hydrological modeling to appraise the impacts of climate change on water resources in glacierized catchments.…”

Section: Introductionmentioning

confidence: 99%

Revealing Vertical Distribution of Precipitation in the Glacierized Upper Indus Basin Based on Multiple Datasets

Shafeeque

Luo

Wang

et al. 2019

Journal of Hydrometeorology

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The quality and vertical distribution of precipitation are of utmost importance in hydrological modeling studies in glacierized catchments, which have been facing known challenges in the quality, distribution, and magnitude of observed as well as gridded precipitation due to complex topography. The purpose of the study is to reveal the vertical distribution of precipitation based on multiple datasets and evaluate the suitability of these datasets for hydrological applications and in the upper Indus basin (UIB). The performance of five gridded precipitation datasets, that is, APHRODITE, CFSR, Princeton Global Meteorological Forcing Dataset for Land Surface Modeling (PGMFD), TRMM, and High Asia Refined analysis (HAR), was evaluated against the observed precipitation (OBS) during 2001–07. A corrected reference precipitation dataset was constructed based on the water and mass balance using inverse modeling methods. TRMM was identified as the best dataset to represent the spatial and temporal distribution of OBS precipitation. The runoff coefficients for OBS, APHRODITE, TRMM, and PGMFD were greater than 1, indicating that these datasets were underestimated and unable to close the water balance in UIB. The mean annual corrected precipitation was estimated as 593 mm yr−1, while the main water-producing elevation zone was located between 3900 and 6600 m. CFSR had the highest correlation and lowest bias with corrected precipitation along the vertical profile. It is concluded that the OBS and most of the gridded precipitation are insufficient to sustain the water and mass balance in UIB. It is recommended to correct the precipitation based on mass balance at high altitudes (especially along the main water-producing zone) in glacierized catchments before its application in hydrological modeling studies.

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“…The The underestimated precipitation may be compensated with other water balance components, e.g., evapotranspiration, snow, or glacier melt (Ragettli and Pellicciotti, 2012;Schaefli, 2005;Shafeeque et al, 2019). A false calibration parameter set would enhance the simulated meltwater to reduce the BIAS between simulated and observed runoff (Ragettli and Pellicciotti, 2012;Wang et al, 2018). For example, in the case of the SPHY model forced by APHRO, PGMFD, and TRMM precipitation datasets ([) to enhance the simulated runoff, a higher negative mass balance would result.…”

Section: Ability To Investigate the Rational Output Of Simulated Hydrmentioning

confidence: 99%

“…When this approach is applied to a glacierized watershed, knowledge of glacier changes, and glaciohydrological processes are required. Data scarcity in the glacierized regions, changes in glacier storage, and glacial melt as an additional input to streamflow (Wang et al, 2018) make the GPD evaluation complicated.…”

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confidence: 99%

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

Shafeeque

Luo

2020

Preprint

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Abstract. In mountain regions, validation and local correction of gridded precipitation datasets (GPDs) are pre-requisites for glacio-hydrological simulations. However, insufficient observed data and glacial involvement make it a complicated task in glacierized watersheds. To diagnose the potential problems in GPDs from multiple perspectives and provide directions for their correction, a Tri-approach framework, consisting of statistical analysis, physical diagnosis, and practical simulation, is proposed. Truc-Budyko theory is introduced into this framework, which can identify the actual under- or over-estimation of GPDs based on watershed water-energy balance, diagnose their possible causes, and provide directions for local correction. This framework was applied to the glacierized Upper Indus Basin (UIB) for evaluating GPDs, including APHRODITE, CFSR, PGMFD, TRMM, and HAR, against adjusted observed precipitation (OBS), specific runoff, and glacier mass balance over varying periods during 1951–2017. The Spatial Processes in HYdrology (SPHY) model was used to simulate the hydrology and glacier changes (2001–2007). The results suggest that (a) patterns of inter- and intra-annual variations of OBS precipitation were better captured by APHRODITE (CC > 0.6), but it was underestimated (−40 %), (b) UIB was characterized as Leaky catchment based on overestimated CFSR (106 %) and HAR (77 %), indicating positive glacier storage changes (0.37 and 0.21 m w.e. yr−1, respectively). In contrast, UIB was characterized as Gaining watershed for remaining underestimated datasets, indicating negative storage changes (−0.42 to −0.34 m w.e. yr−1). (c) For constant mass balance, the simulated runoff was overestimated in SPHY_CFSR (66 %) and SPHY_HAR (53 %), whereas it was underestimated for SPHY_APHRODITE (−41 %), SPHY_PGMFD (−26 %), and SPHY_TRMM (−33 %). It highlights that evaluated GPDs could not generally meet the requirements of the rational output of glacier mass balance and streamflow concurrently. The physical diagnosis directs local correction based on under- and over-estimation. The practical simulation explores the extent of expected uncertainties in intra/inter-annual characteristics of glacio-hydrology.

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Combined use of volume-area and volume-length scaling relationships in glacio-hydrological simulation

Cited by 8 publications

References 44 publications

Glacio‐hydrological model calibration and evaluation

Glacio‐hydrological model calibration and evaluation

Revealing Vertical Distribution of Precipitation in the Glacierized Upper Indus Basin Based on Multiple Datasets

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

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