Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3533-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-22-3533-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jun 2018
Research article |
| 29 Jun 2018
| 29 Jun 2018
Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods
Stephen P. Charles
CORRESPONDING AUTHOR
CSIRO Land and Water, Floreat, 6014, Australia
Quan J. Wang
The University of Melbourne, Parkville, 3010, Australia
Mobin-ud-Din Ahmad
CSIRO Land and Water, Canberra, 2601, Australia
Danial Hashmi
Water and Power Development Authority, Lahore, Pakistan
Andrew Schepen
CSIRO Land and Water, Dutton Park, 4102, Australia
Geoff Podger
CSIRO Land and Water, Canberra, 2601, Australia
David E. Robertson
CSIRO Land and Water, Clayton, 3168, Australia
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Hydrol. Earth Syst. Sci., 24, 2963–2979, https://doi.org/10.5194/hess-24-2963-2020, https://doi.org/10.5194/hess-24-2963-2020, 2020
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There is a growing need for information about possible changes to water resource availability in the future due to climate change. Large-scale outputs from global climate models need to be translated to finer-resolution spatial scales before hydrological modelling. Biases in this downscaled data often need to be corrected. We show that usual bias correction methods can retain residual biases in multi-day occurrences of rainfall, which can result in biases in modelled runoff.
Stephen P. Charles, Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang
Hydrol. Earth Syst. Sci., 24, 2981–2997, https://doi.org/10.5194/hess-24-2981-2020, https://doi.org/10.5194/hess-24-2981-2020, 2020
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This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state of Victoria, Australia, for input to hydrological models to determine plausible climate change impacts on runoff. It compares rainfall and runoff changes using BC WRF with those obtained from empirical scaling (ES) using raw WRF changes. It concludes that BC-derived changes are more plausible than ES-derived changes but that remaining biases in BC WRF daily data add uncertainty to runoff projections.
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Hydrol. Earth Syst. Sci., 27, 4187–4203, https://doi.org/10.5194/hess-27-4187-2023, https://doi.org/10.5194/hess-27-4187-2023, 2023
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A spatial–temporal projection-based calibration, bridging, and merging (STP-CBaM) method is proposed. The calibration model is built by post-processing ECMWF raw forecasts, while the bridging models are built using atmospheric intraseasonal signals as predictors. The calibration model and bridging models are merged through a Bayesian modelling averaging (BMA) method. The results indicate that the newly developed method can generate skilful and reliable sub-seasonal precipitation forecasts.
Hapu Arachchige Prasantha Hapuarachchi, Mohammed Abdul Bari, Aynul Kabir, Mohammad Mahadi Hasan, Fitsum Markos Woldemeskel, Nilantha Gamage, Patrick Daniel Sunter, Xiaoyong Sophie Zhang, David Ewen Robertson, James Clement Bennett, and Paul Martinus Feikema
Hydrol. Earth Syst. Sci., 26, 4801–4821, https://doi.org/10.5194/hess-26-4801-2022, https://doi.org/10.5194/hess-26-4801-2022, 2022
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Methodology for developing an operational 7-day ensemble streamflow forecasting service for Australia is presented. The methodology is tested for 100 catchments to learn the characteristics of different NWP rainfall forecasts, the effect of post-processing, and the optimal ensemble size and bootstrapping parameters. Forecasts are generated using NWP rainfall products post-processed by the CHyPP model, the GR4H hydrologic model, and the ERRIS streamflow post-processor inbuilt in the SWIFT package
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Hydrol. Earth Syst. Sci., 26, 941–954, https://doi.org/10.5194/hess-26-941-2022, https://doi.org/10.5194/hess-26-941-2022, 2022
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Forecasts of evaporative water loss in the future are highly valuable for water resource management. These forecasts are often produced using the outputs of climate models. We developed an innovative method to correct errors in these forecasts, particularly the errors caused by deficiencies of climate models in modeling the changing climate. We apply this method to seasonal forecasts of evaporative water loss across Australia and achieve significant improvements in the forecast quality.
Qichun Yang, Quan J. Wang, Kirsti Hakala, and Yating Tang
Hydrol. Earth Syst. Sci., 25, 4773–4788, https://doi.org/10.5194/hess-25-4773-2021, https://doi.org/10.5194/hess-25-4773-2021, 2021
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Forecasts of water losses from land surface to the air are highly valuable for water resource management and planning. In this study, we aim to fill a critical knowledge gap in the forecasting of evaporative water loss. Model experiments across Australia clearly suggest the necessity of correcting errors in input variables for more reliable water loss forecasting. We anticipate that the strategy developed in our work will benefit future water loss forecasting and lead to more skillful forecasts.
Nicholas J. Potter, Francis H. S. Chiew, Stephen P. Charles, Guobin Fu, Hongxing Zheng, and Lu Zhang
Hydrol. Earth Syst. Sci., 24, 2963–2979, https://doi.org/10.5194/hess-24-2963-2020, https://doi.org/10.5194/hess-24-2963-2020, 2020
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Hydrol. Earth Syst. Sci., 24, 2981–2997, https://doi.org/10.5194/hess-24-2981-2020, https://doi.org/10.5194/hess-24-2981-2020, 2020
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This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state of Victoria, Australia, for input to hydrological models to determine plausible climate change impacts on runoff. It compares rainfall and runoff changes using BC WRF with those obtained from empirical scaling (ES) using raw WRF changes. It concludes that BC-derived changes are more plausible than ES-derived changes but that remaining biases in BC WRF daily data add uncertainty to runoff projections.
Suwash Chandra Acharya, Rory Nathan, Quan J. Wang, Chun-Hsu Su, and Nathan Eizenberg
Hydrol. Earth Syst. Sci., 24, 2951–2962, https://doi.org/10.5194/hess-24-2951-2020, https://doi.org/10.5194/hess-24-2951-2020, 2020
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-450, https://doi.org/10.5194/hess-2019-450, 2019
Revised manuscript not accepted
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Suwash Chandra Acharya, Rory Nathan, Quan J. Wang, Chun-Hsu Su, and Nathan Eizenberg
Hydrol. Earth Syst. Sci., 23, 3387–3403, https://doi.org/10.5194/hess-23-3387-2019, https://doi.org/10.5194/hess-23-3387-2019, 2019
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BARRA is a novel regional reanalysis for Australia. Our research demonstrates that it is able to characterize a rich spatial variation in daily precipitation behaviour. In addition, its ability to represent large rainfalls is valuable for the analysis of extremes. It is a useful complement to existing precipitation datasets for Australia, especially in sparsely gauged regions.
Andrew Schepen, Tongtiegang Zhao, Quan J. Wang, and David E. Robertson
Hydrol. Earth Syst. Sci., 22, 1615–1628, https://doi.org/10.5194/hess-22-1615-2018, https://doi.org/10.5194/hess-22-1615-2018, 2018
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Proc. IAHS, 376, 9–13, https://doi.org/10.5194/piahs-376-9-2018, https://doi.org/10.5194/piahs-376-9-2018, 2018
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We assess a new streamflow forecasting system in Australia. The system is designed to meet the need of water agencies for 12-month forecasts. The forecasts perform well in a wide range of rivers. Forecasts for shorter periods (up to 6 months) are generally informative. Forecasts sometimes did not perform well in a few very dry rivers. We test several techniques for improving streamflow forecasts in drylands, with mixed success.
Sean W. D. Turner, James C. Bennett, David E. Robertson, and Stefano Galelli
Hydrol. Earth Syst. Sci., 21, 4841–4859, https://doi.org/10.5194/hess-21-4841-2017, https://doi.org/10.5194/hess-21-4841-2017, 2017
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Ashley Wright, Jeffrey P. Walker, David E. Robertson, and Valentijn R. N. Pauwels
Hydrol. Earth Syst. Sci., 21, 3827–3838, https://doi.org/10.5194/hess-21-3827-2017, https://doi.org/10.5194/hess-21-3827-2017, 2017
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The accurate reduction of hydrologic model input data is an impediment towards understanding input uncertainty and model structural errors. This paper compares the ability of two transforms to reduce rainfall input data. The resultant transforms are compressed to varying extents and reconstructed before being evaluated with standard simulation performance summary metrics and descriptive statistics. It is concluded the discrete wavelet transform is most capable of preserving rainfall time series.
Andrew Schepen, Tongtiegang Zhao, Q. J. Wang, Senlin Zhou, and Paul Feikema
Hydrol. Earth Syst. Sci., 20, 4117–4128, https://doi.org/10.5194/hess-20-4117-2016, https://doi.org/10.5194/hess-20-4117-2016, 2016
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Australian seasonal streamflow forecasts are issued by the Bureau of Meteorology with up to two weeks' delay. Timelier forecast release will enhance forecast value and enable sub-seasonal forecasting. The bureau's forecasting approach is modified to allow timelier forecast release, and changes in reliability and skill are quantified. The results are combined with insights into the forecast production process to recommend a more flexible forecasting system to better meet the needs of users.
Ming Li, Q. J. Wang, James C. Bennett, and David E. Robertson
Hydrol. Earth Syst. Sci., 20, 3561–3579, https://doi.org/10.5194/hess-20-3561-2016, https://doi.org/10.5194/hess-20-3561-2016, 2016
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M. Li, Q. J. Wang, J. C. Bennett, and D. E. Robertson
Hydrol. Earth Syst. Sci., 19, 1–15, https://doi.org/10.5194/hess-19-1-2015, https://doi.org/10.5194/hess-19-1-2015, 2015
J. C. Bennett, Q. J. Wang, P. Pokhrel, and D. E. Robertson
Nat. Hazards Earth Syst. Sci., 14, 219–233, https://doi.org/10.5194/nhess-14-219-2014, https://doi.org/10.5194/nhess-14-219-2014, 2014
D. E. Robertson, D. L. Shrestha, and Q. J. Wang
Hydrol. Earth Syst. Sci., 17, 3587–3603, https://doi.org/10.5194/hess-17-3587-2013, https://doi.org/10.5194/hess-17-3587-2013, 2013
D. L. Shrestha, D. E. Robertson, Q. J. Wang, T. C. Pagano, and H. A. P. Hapuarachchi
Hydrol. Earth Syst. Sci., 17, 1913–1931, https://doi.org/10.5194/hess-17-1913-2013, https://doi.org/10.5194/hess-17-1913-2013, 2013
P. Pokhrel, D. E. Robertson, and Q. J. Wang
Hydrol. Earth Syst. Sci., 17, 795–804, https://doi.org/10.5194/hess-17-795-2013, https://doi.org/10.5194/hess-17-795-2013, 2013
D. E. Robertson, P. Pokhrel, and Q. J. Wang
Hydrol. Earth Syst. Sci., 17, 579–593, https://doi.org/10.5194/hess-17-579-2013, https://doi.org/10.5194/hess-17-579-2013, 2013
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Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
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Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
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Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
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Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
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Revised manuscript accepted for HESS
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Applying optimal water allocation models to simultaneously enable economic benefits, water preferences and environmental demands at different decision levels, time scales and regions is a challenge. In this study, A process-based three-layer synergetic optimal allocation model (PTSOA) is established to achieve these goals. Reusing of reclaimed water is also coupled to capture environment-friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023, https://doi.org/10.5194/hess-27-2463-2023, 2023
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This study investigates the precision of irrigation estimates from a global hotspot of unsustainable irrigation practice, the Indus and Ganges basins. We show that irrigation water use can be estimated with high precision by comparing satellite and rainfed hydrological model estimates of evapotranspiration. We believe that our work can support sustainable water resource management, as it addresses the uncertainty of a key component of the water balance that remains challenging to quantify.
Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell
Hydrol. Earth Syst. Sci., 27, 2205–2225, https://doi.org/10.5194/hess-27-2205-2023, https://doi.org/10.5194/hess-27-2205-2023, 2023
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We applied participatory methods to create a hybrid equation-based Bayesian network (BN) model to increase stakeholder understanding of catchment-scale resilience to the impacts of both climatic and socio-economic stressors to a 2050 time horizon. Our holistic systems-thinking approach enabled stakeholders to gain new perspectives on how future scenarios may influence their specific sectors and how their sector impacted other sectors and environmental conditions within the catchment system.
Afua Owusu, Jazmin Zatarain Salazar, Marloes Mul, Pieter van der Zaag, and Jill Slinger
Hydrol. Earth Syst. Sci., 27, 2001–2017, https://doi.org/10.5194/hess-27-2001-2023, https://doi.org/10.5194/hess-27-2001-2023, 2023
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The construction of two dams in the Lower Volta River, Ghana, adversely affected downstream riverine ecosystems and communities. In contrast, Ghana has enjoyed vast economic benefits from the dams. Herein lies the challenge; there exists a trade-off between water for river ecosystems and water for anthropogenic water demands such hydropower. In this study, we quantify these trade-offs and show that there is room for providing environmental flows under current and future climatic conditions.
Joel Z. Harms, Julien J. Malard-Adam, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa
Hydrol. Earth Syst. Sci., 27, 1683–1693, https://doi.org/10.5194/hess-27-1683-2023, https://doi.org/10.5194/hess-27-1683-2023, 2023
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To facilitate the meaningful participation of stakeholders in water management, model choice is crucial. We show how system dynamics models (SDMs), which are very visual and stakeholder-friendly, can be automatically combined with physically based hydrological models that may be more appropriate for modelling the water processes of a human–water system. This allows building participatory SDMs with stakeholders and delegating hydrological components to an external hydrological model.
Erhu Du, Feng Wu, Hao Jiang, Naliang Guo, Yong Tian, and Chunmiao Zheng
Hydrol. Earth Syst. Sci., 27, 1607–1626, https://doi.org/10.5194/hess-27-1607-2023, https://doi.org/10.5194/hess-27-1607-2023, 2023
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This study develops an integrated socio-hydrological modeling framework that can simulate the entire flood management processes, including flood inundation, flood management policies, public responses, and evacuation activities. The model is able to holistically examine flood evacuation performance under the joint impacts of hydrological conditions, management policies (i.e., shelter location distribution), and human behaviors (i.e., evacuation preparation time and route-searching strategy).
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, Günter Blöschl, Murugesu Sivapalan, and Ahmed Abdelkader
Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
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The study proposes a quantitative model of the willingness to cooperate in the Eastern Nile River basin. Our results suggest that the 2008 food crisis may account for Sudan recovering its willingness to cooperate with Ethiopia. Long-term lack of trust among the riparian countries may have reduced basin-wide cooperation. The model can be used to explore the effects of changes in future dam operations and other management decisions on the emergence of basin cooperation.
Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski
Hydrol. Earth Syst. Sci., 27, 873–893, https://doi.org/10.5194/hess-27-873-2023, https://doi.org/10.5194/hess-27-873-2023, 2023
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Forecasts may be valuable for user decisions, but current practice to quantify it has critical limitations. This study introduces RUV (relative utility value, a new metric that can be tailored to specific decisions and decision-makers. It illustrates how critical this decision context is when evaluating forecast value. This study paves the way for agencies to tailor the evaluation of their services to customer decisions and researchers to study model improvements through the lens of user impact.
Efrain Noa-Yarasca, Meghna Babbar-Sebens, and Chris Jordan
Hydrol. Earth Syst. Sci., 27, 739–759, https://doi.org/10.5194/hess-27-739-2023, https://doi.org/10.5194/hess-27-739-2023, 2023
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Riparian vegetation has been identified as a strategy to control rising stream temperatures by shading streams. Riparian vegetation is included within a sub-basin-scale hydrological model and evaluated for full and efficient restoration scenarios. Results showed average temperature reductions of 0.91 and 0.86 °C for full and efficient riparian restoration, respectively. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.
Silvia Terzago, Giulio Bongiovanni, and Jost von Hardenberg
Hydrol. Earth Syst. Sci., 27, 519–542, https://doi.org/10.5194/hess-27-519-2023, https://doi.org/10.5194/hess-27-519-2023, 2023
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Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead provide valuable information for water management, hydropower production and ski tourism. We present a climate service prototype to generate multi-model ensemble seasonal forecasts of mountain snow depth, based on Copernicus seasonal forecast system meteorological data used to force the SNOWPACK model. The prototype shows skill at predicting snow depth below and above normal and extremely dry seasons.
Guang Yang, Matteo Giuliani, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 27, 69–81, https://doi.org/10.5194/hess-27-69-2023, https://doi.org/10.5194/hess-27-69-2023, 2023
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Participatory decision-making is a well-established approach to address the increasing pressure on water systems that searches for system-wise efficient solutions but often does not quantify how the resulting benefits are distributed across stakeholders. In this work, we show how including equity principles into the design of water system operations enriches the solution space by generating more compromise solutions that balance efficiency and justice.
Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear
Hydrol. Earth Syst. Sci., 26, 6121–6136, https://doi.org/10.5194/hess-26-6121-2022, https://doi.org/10.5194/hess-26-6121-2022, 2022
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Measurements of channel characteristics are important for accurate forecasting in the NOAA National Water Model (NWM) but are scarcely available. We seek to improve channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges. We find that the updated channel parameterization from this new dataset leads to improvements in simulated streamflow performance and channel representation.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
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In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Anahi Ocampo-Melgar, Pilar Barría, Cristián Chadwick, and Cesar Rivas
Hydrol. Earth Syst. Sci., 26, 5103–5118, https://doi.org/10.5194/hess-26-5103-2022, https://doi.org/10.5194/hess-26-5103-2022, 2022
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This article examines how a hydrological model exploring the causes of a lake desiccation was turned into a 5-step participatory process to better adjust the model to address questions that were causing suspicions and conflicts in the community. Although the process was key in finding a combination of strategies that were of moderate impact and higher local acceptability, we address the challenges of such collaboration in modeling when conflict is deeply embedded in the context.
Ashish Shrestha, Felipe Augusto Arguello Souza, Samuel Park, Charlotte Cherry, Margaret Garcia, David J. Yu, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 26, 4893–4917, https://doi.org/10.5194/hess-26-4893-2022, https://doi.org/10.5194/hess-26-4893-2022, 2022
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Equitable sharing of benefits is key to successful cooperation in transboundary water resource management. However, external changes can shift the split of benefits and shifts in the preferences regarding how an actor’s benefits compare to the other’s benefits. To understand how these changes can impact the robustness of cooperative agreements, we develop a socio-hydrological system dynamics model of the benefit sharing provision of the Columbia River Treaty and assess a series of scenarios.
Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 4685–4706, https://doi.org/10.5194/hess-26-4685-2022, https://doi.org/10.5194/hess-26-4685-2022, 2022
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Given the crucial impact of irrigation practices on the water cycle, this study aims at estimating irrigation through the development of an innovative data assimilation system able to ingest high-resolution Sentinel-1 radar observations into the Noah-MP land surface model. The developed methodology has important implications for global water resource management and the comprehension of human impacts on the water cycle and identifies main challenges and outlooks for future research.
Yujie Zeng, Dedi Liu, Shenglian Guo, Lihua Xiong, Pan Liu, Jiabo Yin, and Zhenhui Wu
Hydrol. Earth Syst. Sci., 26, 3965–3988, https://doi.org/10.5194/hess-26-3965-2022, https://doi.org/10.5194/hess-26-3965-2022, 2022
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The sustainability of the water–energy–food (WEF) nexus remains challenge, as interactions between WEF and human sensitivity and water resource allocation in water systems are often neglected. We incorporated human sensitivity and water resource allocation into a WEF nexus and assessed their impacts on the integrated system. This study can contribute to understanding the interactions across the water–energy–food–society nexus and improving the efficiency of resource management.
Louise Busschaert, Shannon de Roos, Wim Thiery, Dirk Raes, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 3731–3752, https://doi.org/10.5194/hess-26-3731-2022, https://doi.org/10.5194/hess-26-3731-2022, 2022
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Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci., 26, 2899–2922, https://doi.org/10.5194/hess-26-2899-2022, https://doi.org/10.5194/hess-26-2899-2022, 2022
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Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.
Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block
Hydrol. Earth Syst. Sci., 26, 2431–2448, https://doi.org/10.5194/hess-26-2431-2022, https://doi.org/10.5194/hess-26-2431-2022, 2022
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To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
Herminia Torelló-Sentelles and Christian L. E. Franzke
Hydrol. Earth Syst. Sci., 26, 1821–1844, https://doi.org/10.5194/hess-26-1821-2022, https://doi.org/10.5194/hess-26-1821-2022, 2022
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Drought affects many regions worldwide, and future climate projections imply that drought severity and frequency will increase. Hence, the impacts of drought on the environment and society will also increase considerably. Monitoring and early warning systems for drought rely on several indicators; however, assessments on how these indicators are linked to impacts are still lacking. Our results show that meteorological indices are best linked to impact occurrences.
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022, https://doi.org/10.5194/hess-26-1389-2022, 2022
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We explore, together with stakeholders, whether seasonal forecasting of water quantity, quality, and ecology can help support water management at five case study sites, primarily in Europe. Reliable forecasting, a season in advance, has huge potential to improve decision-making. However, managers were reluctant to use the forecasts operationally. Key barriers were uncertainty and often poor historic performance. The importance of practical hands-on experience was also highlighted.
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022, https://doi.org/10.5194/hess-26-1261-2022, 2022
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Pesticides continue to pose a threat to surface water quality worldwide. Here, we present a spatial Bayesian belief network (BBN) for assessing inherent pesticide risk to water quality. The BBN was applied in a small catchment with limited data to simulate the risk of five pesticides and evaluate the likely effectiveness of mitigation measures. The probabilistic graphical model combines diverse data and explicitly accounts for uncertainties, which are often ignored in pesticide risk assessments.
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Jens Christian Refsgaard, Christen Duus Børgesen, Jørgen Eivind Olesen, and Dennis Trolle
Hydrol. Earth Syst. Sci., 26, 955–973, https://doi.org/10.5194/hess-26-955-2022, https://doi.org/10.5194/hess-26-955-2022, 2022
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This study investigates how the spatial nitrate reduction in the subsurface may shift under changing climate and land use conditions. This change is investigated by comparing maps showing the spatial nitrate reduction in an agricultural catchment for current conditions, with maps generated for future projected climate and land use conditions. Results show that future climate flow paths may shift the catchment reduction noticeably, while implications of land use changes were less substantial.
Oleksandr Mialyk, Joep F. Schyns, Martijn J. Booij, and Rick J. Hogeboom
Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, https://doi.org/10.5194/hess-26-923-2022, 2022
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As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
Wouter J. Smolenaars, Sanita Dhaubanjar, Muhammad K. Jamil, Arthur Lutz, Walter Immerzeel, Fulco Ludwig, and Hester Biemans
Hydrol. Earth Syst. Sci., 26, 861–883, https://doi.org/10.5194/hess-26-861-2022, https://doi.org/10.5194/hess-26-861-2022, 2022
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The arid plains of the lower Indus Basin rely heavily on the water provided by the mountainous upper Indus. Rapid population growth in the upper Indus is expected to increase the water that is consumed there. This will subsequently reduce the water that is available for the downstream plains, where the population and water demand are also expected to grow. In future, this may aggravate tensions over the division of water between the countries that share the Indus Basin.
Yaogeng Tan, Zengchuan Dong, Sandra M. Guzman, Xinkui Wang, and Wei Yan
Hydrol. Earth Syst. Sci., 25, 6495–6522, https://doi.org/10.5194/hess-25-6495-2021, https://doi.org/10.5194/hess-25-6495-2021, 2021
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The rapid increase in economic development and urbanization is contributing to the imbalances and conflicts between water supply and demand and further deteriorates river ecological health, which intensifies their interactions and causes water unsustainability. This paper proposes a methodology for sustainable development of water resources, considering socioeconomic development, food safety, and ecological protection, and the dynamic interactions across those water users are further assessed.
Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens, Angelica Tarpanelli, Renato Morbidelli, and Gabrielle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 25, 6283–6307, https://doi.org/10.5194/hess-25-6283-2021, https://doi.org/10.5194/hess-25-6283-2021, 2021
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Worldwide, the amount of water used for agricultural purposes is rising and the quantification of irrigation is becoming a crucial topic. Land surface models are not able to correctly simulate irrigation. Remote sensing observations offer an opportunity to fill this gap as they are directly affected by irrigation. We equipped a land surface model with an observation operator able to transform Sentinel-1 backscatter observations into realistic vegetation and soil states via data assimilation.
Alexis Jeantet, Hocine Henine, Cédric Chaumont, Lila Collet, Guillaume Thirel, and Julien Tournebize
Hydrol. Earth Syst. Sci., 25, 5447–5471, https://doi.org/10.5194/hess-25-5447-2021, https://doi.org/10.5194/hess-25-5447-2021, 2021
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The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale, using a unique database representing the large majority of the French drained areas. The model is evaluated following its capacity to simulate the drainage discharge variability and the annual drained water balance. Eventually, the temporal robustness of SIDRA-RU is assessed to demonstrate the utility of this model as a long-term management tool.
Nariman Mahmoodi, Jens Kiesel, Paul D. Wagner, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 25, 5065–5081, https://doi.org/10.5194/hess-25-5065-2021, https://doi.org/10.5194/hess-25-5065-2021, 2021
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In this study, we assessed the sustainability of water resources in a wadi region with the help of a hydrologic model. Our assessment showed that the increases in groundwater demand and consumption exacerbate the negative impact of climate change on groundwater sustainability and hydrologic regime alteration. These alterations have severe consequences for a downstream wetland and its ecosystem. The approach may be applicable in other wadi regions with different climate and water use systems.
Nahid Atashi, Dariush Rahimi, Victoria A. Sinclair, Martha A. Zaidan, Anton Rusanen, Henri Vuollekoski, Markku Kulmala, Timo Vesala, and Tareq Hussein
Hydrol. Earth Syst. Sci., 25, 4719–4740, https://doi.org/10.5194/hess-25-4719-2021, https://doi.org/10.5194/hess-25-4719-2021, 2021
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Dew formation potential during a long-term period (1979–2018) was assessed in Iran to identify dew formation zones and to investigate the impacts of long-term variation in meteorological parameters on dew formation. Six dew formation zones were identified based on cluster analysis of the time series of the simulated dew yield. The distribution of dew formation zones in Iran was closely aligned with topography and sources of moisture. The dew formation trend was significantly negative.
Kuk-Hyun Ahn
Hydrol. Earth Syst. Sci., 25, 4319–4333, https://doi.org/10.5194/hess-25-4319-2021, https://doi.org/10.5194/hess-25-4319-2021, 2021
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This study proposes a multiple-dependence model for estimating streamflow at partially gaged sites. The evaluations are conducted on a case study of the eastern USA and show that the proposed model is suited for infilling missing values. The performance is further evaluated with six other infilling models. Results demonstrate that the proposed model produces more reliable streamflow estimates than the other approaches. The model can be applicable to other hydro-climatological variables.
Xuanxuan Wang, Yaning Chen, Zhi Li, Gonghuan Fang, Fei Wang, and Haichao Hao
Hydrol. Earth Syst. Sci., 25, 3281–3299, https://doi.org/10.5194/hess-25-3281-2021, https://doi.org/10.5194/hess-25-3281-2021, 2021
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The growing water crisis in Central Asia and the complex water politics of the region's transboundary rivers are a hot topic for research, while the dynamic changes of water politics in Central Asia have yet to be studied in depth. Based on the Gini coefficient, water political events and social network analysis, we analyzed the matching degree between water and socio-economic elements and the dynamics of hydropolitics in transboundary river basins of Central Asia.
Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour
Hydrol. Earth Syst. Sci., 25, 2789–2804, https://doi.org/10.5194/hess-25-2789-2021, https://doi.org/10.5194/hess-25-2789-2021, 2021
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Within a watershed, nutrient export can vary greatly over time and space. In this study, we develop a model to leverage over 30 years of streamflow, precipitation, and nutrient sampling data to characterize nitrogen export from various livestock and land use types across a range of precipitation conditions. Modeling results reveal that urban lands developed before 1980 have remarkably high levels of nitrogen export, while agricultural export is most responsive to precipitation.
Chia-Wen Wu, Frederick N.-F. Chou, and Fong-Zuo Lee
Hydrol. Earth Syst. Sci., 25, 2063–2087, https://doi.org/10.5194/hess-25-2063-2021, https://doi.org/10.5194/hess-25-2063-2021, 2021
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This paper promotes the feasibility of emptying instream storage through joint operation of multiple reservoirs. The trade-off between water supply and emptying reservoir storage and alleviating impacts on downstream environment are thoroughly discussed. Operation of reservoirs is optimized to calibrate the optimal parameters defining the activation and termination of emptying reservoir. The optimized strategy limits the water shortage and maximizes the expected benefits of emptying reservoir.
Yvonne Jans, Werner von Bloh, Sibyll Schaphoff, and Christoph Müller
Hydrol. Earth Syst. Sci., 25, 2027–2044, https://doi.org/10.5194/hess-25-2027-2021, https://doi.org/10.5194/hess-25-2027-2021, 2021
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Growth of and irrigation water demand on cotton may be challenged by future climate change. To analyze the global cotton production and irrigation water consumption under spatially varying present and future climatic conditions, we use the global terrestrial biosphere model LPJmL. Our simulation results suggest that the beneficial effects of elevated [CO2] on cotton yields overcompensate yield losses from direct climate change impacts, i.e., without the beneficial effect of [CO2] fertilization.
Artemis Roodari, Markus Hrachowitz, Farzad Hassanpour, and Mostafa Yaghoobzadeh
Hydrol. Earth Syst. Sci., 25, 1943–1967, https://doi.org/10.5194/hess-25-1943-2021, https://doi.org/10.5194/hess-25-1943-2021, 2021
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In a combined data analysis and modeling study in the transboundary Helmand River basin, we analyzed spatial patterns of drought and changes therein based on the drought indices as well as on absolute water deficits. Overall the results illustrate that flow deficits and the associated droughts clearly reflect the dynamic interplay between temporally varying regional differences in hydro-meteorological variables together with subtle and temporally varying effects linked to human intervention.
Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, and Justin Sheffield
Hydrol. Earth Syst. Sci., 25, 1827–1847, https://doi.org/10.5194/hess-25-1827-2021, https://doi.org/10.5194/hess-25-1827-2021, 2021
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Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
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The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Jessica A. Bou Nassar, Julien J. Malard, Jan F. Adamowski, Marco Ramírez Ramírez, Wietske Medema, and Héctor Tuy
Hydrol. Earth Syst. Sci., 25, 1283–1306, https://doi.org/10.5194/hess-25-1283-2021, https://doi.org/10.5194/hess-25-1283-2021, 2021
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Our research suggests a method that facilitates the inclusion of marginalized stakeholders in model-building activities to address problems in water resources. Our case study showed that knowledge produced by typically excluded stakeholders had significant and unique contributions to the outcome of the process. Moreover, our method facilitated the identification of relationships between societal, economic, and hydrological factors, and it fostered collaborations across different communities.
Marc Girons Lopez, Louise Crochemore, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci., 25, 1189–1209, https://doi.org/10.5194/hess-25-1189-2021, https://doi.org/10.5194/hess-25-1189-2021, 2021
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The Swedish hydrological warning service is extending its use of seasonal forecasts, which requires an analysis of the available methods. We evaluate the simple ESP method and find out how and why forecasts vary in time and space. We find that forecasts are useful up to 3 months into the future, especially during winter and in northern Sweden. They tend to be good in slow-reacting catchments and bad in flashy and highly regulated ones. We finally link them with areas of similar behaviour.
Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, Joël Gailhard, and Thomas Ouillon
Hydrol. Earth Syst. Sci., 25, 1033–1052, https://doi.org/10.5194/hess-25-1033-2021, https://doi.org/10.5194/hess-25-1033-2021, 2021
Haiyang Shi, Geping Luo, Hongwei Zheng, Chunbo Chen, Olaf Hellwich, Jie Bai, Tie Liu, Shuang Liu, Jie Xue, Peng Cai, Huili He, Friday Uchenna Ochege, Tim Van de Voorde, and Philippe de Maeyer
Hydrol. Earth Syst. Sci., 25, 901–925, https://doi.org/10.5194/hess-25-901-2021, https://doi.org/10.5194/hess-25-901-2021, 2021
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Some river basins are considered to be very similar because they have a similar background such as a transboundary, facing threats of human activities. But we still lack understanding of differences under their general similarities. Therefore, we proposed a framework based on a Bayesian network to group watersheds based on similarity levels and compare the causal and systematic differences within the group. We applied it to the Amu and Syr Darya River basin and discussed its universality.
Michel Le Page, Younes Fakir, Lionel Jarlan, Aaron Boone, Brahim Berjamy, Saïd Khabba, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 25, 637–651, https://doi.org/10.5194/hess-25-637-2021, https://doi.org/10.5194/hess-25-637-2021, 2021
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In the context of major changes, the southern Mediterranean area faces serious challenges with low and continuously decreasing water resources mainly attributed to agricultural use. A method for projecting irrigation water demand under both anthropogenic and climatic changes is proposed. Time series of satellite imagery are used to determine a set of semiempirical equations that can be easily adapted to different future scenarios.
Mohammad Taghi Sattari, Halit Apaydin, Shahab S. Band, Amir Mosavi, and Ramendra Prasad
Hydrol. Earth Syst. Sci., 25, 603–618, https://doi.org/10.5194/hess-25-603-2021, https://doi.org/10.5194/hess-25-603-2021, 2021
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The aim of study is to estimate the reference evapotranspiration (ET0) amount with artificial intelligence using minimum meteorological parameters in the Corum region, which is an agricultural center of Turkey. Kernel-based GPR and SVR and BFGS-ANN and LSTM models were used to estimate ET0 amounts in 10 different combinations. The results show that all four methods used predicted ET0 amounts at acceptable accuracy and error levels. The BFGS-ANN model showed higher success than the others.
Andres Peñuela, Christopher Hutton, and Francesca Pianosi
Hydrol. Earth Syst. Sci., 24, 6059–6073, https://doi.org/10.5194/hess-24-6059-2020, https://doi.org/10.5194/hess-24-6059-2020, 2020
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In this paper we evaluate the potential use of seasonal weather forecasts to improve reservoir operation in a UK water supply system. We found that the use of seasonal forecasts can improve the efficiency of reservoir operation but only if the forecast uncertainty is explicitly considered. We also found the degree of efficiency improvement is strongly affected by the decision maker priorities and the hydrological conditions.
Cited articles
Afzal, M., Haroon, M. A., Rana, A. S., and Imran, A.: Influence of North
Atlantic Oscillations and Southern Oscillations on winter precipitation of
northern Pakistan, Pakistan J. Meteorol., 9, 1–8, 2013.
Ahmed, K. and Sanchez, M.: A study of the factors and processes involved in the
sedimentation of Tarbela reservoir, Pakistan, Environ. Earth Sci., 62, 927–933,
https://doi.org/10.1007/s12665-010-0578-3, 2011.
Alford, D., Archer, D., Bookhagen, B., Grabs, W., Halvorson, S., Hewitt, K.,
Immerzeel, W., Kamp, U., and Krumwiede, B.: Monitoring of glaciers, climate
and runoff in the Hindu Kush-Himalaya mountains, South Asia Water Initiative
Report No. 67668-SAS, World Bank, Washington, D.C., 2014.
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and
Lettenmaier, D. P.: Value of long-term streamflow forecasts to reservoir
operations for water supply in snow-dominated river catchments, Water Resour.
Res., 52, 4209–4225, https://doi.org/10.1002/2015WR017864, 2016.
Archer, D. R. and Fowler, H. J.: Spatial and temporal variations in precipitation
in the Upper Indus Basin, global teleconnections and hydrological implications,
Hydrol. Earth Syst. Sci., 8, 47–61, https://doi.org/10.5194/hess-8-47-2004, 2004.
Ashok, K. and Saji, N. H.: On the impacts of ENSO and Indian Ocean dipole events
on sub-regional Indian summer monsoon rainfall, Nat. Hazards, 42, 273–285,
https://doi.org/10.1007/s11069-006-9091-0, 2007.
Ashok, K., Guan, Z., Saji, N. H., and Yamagata, T.: Individual and combined
influences of ENSO and the Indian Ocean Dipole on the Indian Summer Monsoon,
J. Climate, 17, 3141–3155, https://doi.org/10.1175/1520-0442(2004)017<3141:IACIOE>2.0.CO;2, 2004.
Asian Development Bank: Asian water development outlook 2016: Strengthening
water security in Asia and the Pacific, Asian Development Bank, Mandaluyong
City, Philippines, 2016.
Bennett, J. C., Wang, Q. J., Li, M., Robertson, D. E., and Schepen, A.: Reliable
long-range ensemble streamflow forecasts: Combining calibrated climate forecasts
with a conceptual runoff model and a staged error model, Water Resour. Res.,
52, 8238–8259, https://doi.org/10.1002/2016WR019193, 2016.
Bierkens, M. F. P. and van Beek, L. P. H.: Seasonal Predictability of European
Discharge: NAO and Hydrological Response Time, J. Hydrometeorol., 10, 953–968,
https://doi.org/10.1175/2009JHM1034.1, 2009.
Bogacki, W. and Ismail, M. F.: Seasonal forecast of Kharif flows from Upper
Jhelum catchment, Proc. IAHS, 374, 137–142, https://doi.org/10.5194/piahs-374-137-2016, 2016.
Butt, M. J. and Bilal, M.: Application of snowmelt runoff model for water
resource management, Hydrol. Process., 25, 3735–3747, https://doi.org/10.1002/hyp.8099, 2011.
Cash, B. A., Manganello, J. V., and Kinter, J. L.: Evaluation of NMME temperature
and precipitation bias and forecast skill for South Asia, Clim. Dynam.,
https://doi.org/10.1007/s00382-017-3841-4, in press, 2017.
Charles, S. P.: Hydroclimate of the Indus – synthesis of the literature relevant
to Indus basin hydroclimate processes, trends, seasonal forecasting and climate
change, CSIRO Sustainable Development Investment Portfolio project, CSIRO Land
and Water, Australia, 48 pp., 2016.
Chiew, F. H. S., Zhou, S. L., and McMahon, T. A.: Use of seasonal streamflow
forecasts in water resources management, J. Hydrol., 270, 135–144,
https://doi.org/10.1016/S0022-1694(02)00292-5, 2003.
Crochemore, L., Ramos, M. H., Pappenberger, F., and Perrin, C.: Seasonal
streamflow forecasting by conditioning climatology with precipitation indices,
Hydrol. Earth Syst. Sci., 21, 1573–1591, https://doi.org/10.5194/hess-21-1573-2017, 2017.
del Río, S., Anjum Iqbal, M., Cano-Ortiz, A., Herrero, L., Hassan, A., and
Penas, A.: Recent mean temperature trends in Pakistan and links with
teleconnection patterns, Int. J. Climatol., 33, 277–290, https://doi.org/10.1002/joc.3423, 2013.
Doblas-Reyes, F. J., García-Serrano, J., Lienert, F., Biescas, A. P., and
Rodrigues, L. R. L.: Seasonal climate predictability and forecasting: status
and prospects, Wiley Interdisciplin. Rev.: Clim. Change, 4, 245–268,
https://doi.org/10.1002/wcc.217, 2013.
Döll, P., Fiedler, K., and Zhang, J.: Global-scale analysis of river flow
alterations due to water withdrawals and reservoirs, Hydrol. Earth Syst. Sci.,
13, 2413–2432, https://doi.org/10.5194/hess-13-2413-2009, 2009.
Filippi, L., Palazzi, E., von Hardenberg, J., and Provenzale, A.: Multidecadal
Variations in the Relationship between the NAO and Winter Precipitation in the
Hindu Kush–Karakoram, J. Climate, 27, 7890–7902, https://doi.org/10.1175/JCLI-D-14-00286.1, 2014.
Gneiting, T., Balabdaoui, F., and Raftery, A. E.: Probabilistic forecasts,
calibration and sharpness, J. Roy. Stat. Soc. B, 69, 243–268, https://doi.org/10.1111/j.1467-9868.2007.00587.x, 2007.
Hall, D. K., Riggs, G. A., Foster, J. L., and Kumar, S. V.: Development and
evaluation of a cloud-gap-filled MODIS daily snow-cover product, Remote Sens.
Environ., 114, 496–503, https://doi.org/10.1016/j.rse.2009.10.007, 2010.
Hasson, S., Lucarini, V., Khan, M. R., Petitta, M., Bolch, T., and Gioli, G.:
Early 21st century snow cover state over the western river basins of the Indus
River system, Hydrol. Earth Syst. Sci., 18, 4077–4100, https://doi.org/10.5194/hess-18-4077-2014, 2014.
Hurrell, J. W.: Decadal Trends in the North Atlantic Oscillation: Regional
Temperatures and Precipitation, Science, 269, 676–679, 1995.
Immerzeel, W. W., Droogers, P., de Jong, S. M., and Bierkens, M. F. P.:
Large-scale monitoring of snow cover and runoff simulation in Himalayan river
basins using remote sensing, Remote Sens. Environ., 113, 40–49, https://doi.org/10.1016/j.rse.2008.08.010, 2009.
Ismail, M. F. and Bogacki, W.: Scenario approach for the seasonal forecast of
Kharif flows from the Upper Indus Basin, Hydrol. Earth Syst. Sci., 22, 1391–1409,
https://doi.org/10.5194/hess-22-1391-2018, 2018.
Kar, S. and Rana, S.: Interannual variability of winter precipitation over
northwest India and adjoining region: impact of global forcings, Theor. Appl.
Climatol., 116, 609–623, https://doi.org/10.1007/s00704-013-0968-z, 2014.
Kim, H.-M., Webster, P., Curry, J., and Toma, V.: Asian summer monsoon prediction
in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts, Clim. Dynam.,
39, 2975–2991, https://doi.org/10.1007/s00382-012-1470-5, 2012.
Kirby, M., Ahmad, M.-u.-D., Mainuddin, M., Khaliq, T., and Cheema, M. J. M.:
Agricultural production, water use and food availability in Pakistan: Historical
trends, and projections to 2050, Agr. Water Manage., 179, 34–46, https://doi.org/10.1016/j.agwat.2016.06.001, 2017.
Kirtman, B. P., Min, D., Infanti, J. M., Kinter, J. L., Paolino, D. A., Zhang,
Q., van den Dool, H., Saha, S., Mendez, M. P., Becker, E., Peng, P., Tripp, P.,
Huang, J., DeWitt, D. G., Tippett, M. K., Barnston, A. G., Li, S., Rosati, A.,
Schubert, S. D., Rienecker, M., Suarez, M., Li, Z. E., Marshak, J., Lim, Y.-K.,
Tribbia, J., Pegion, K., Merryfield, W. J., Denis, B., and Wood, E. F.: The
North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; P
hase-2 toward Developing Intraseasonal Prediction, B. Am. Meteorol. Soc., 95,
585–601, https://doi.org/10.1175/BAMS-D-12-00050.1, 2013.
Koster, R. D., Mahanama, S. P. P., Livneh, B., Lettenmaier, D. P., and Reichle,
R. H.: Skill in streamflow forecasts derived from large-scale estimates of soil
moisture and snow, Nat. Geosci., 3, 613–616, 2010.
Laio, F. and Tamea, S.: Verification tools for probabilistic forecasts of
continuous hydrological variables, Hydrol. Earth Syst. Sci., 11, 1267–1277,
https://doi.org/10.5194/hess-11-1267-2007, 2007.
Li, H., Luo, L., Wood, E. F., and Schaake, J.: The role of initial conditions
and forcing uncertainties in seasonal hydrologic forecasting, J. Geophys.
Res.-Atmos., 114, D04114, https://doi.org/10.1029/2008JD010969, 2009.
Li, M., Wang, Q. J., Bennett, J. C., and Robertson, D. E.: Error reduction and
representation in stages (ERRIS) in hydrological modelling for ensemble
streamflow forecasting, Hydrol. Earth Syst. Sci., 20, 3561–3579, https://doi.org/10.5194/hess-20-3561-2016, 2016.
Mahmood, R., Babel, M. S., and Jia, S.: Assessment of temporal and spatial
changes of future climate in the Jhelum river basin, Pakistan and India,
Weather Clim. Extr., 10, 40–55, https://doi.org/10.1016/j.wace.2015.07.002, 2015.
Martinec, J., Rango, A., and Roberts, R.: Snowmelt Runoff Model (SRM) User's
Manual, New Mexico State University, Las Cruces, New Mexico, 178 pp, http://aces.nmsu.edu/pubs/research/water/SRMSpecRep100.pdf
(last access: 27 June 2018), 2008.
Maurer, E. P. and Lettenmaier, D. P.: Predictability of seasonal runoff in the
Mississippi River basin, J. Geophys. Res.-Atmos., 108, 8607, https://doi.org/10.1029/2002JD002555, 2003.
Molteni, F., Stockdale, T. M., Balmaseda, A., Balsamo, G., Buizza, R., Ferranti,
L., Magnusson, L., Mogensen, K., Palmer, T., and Vitart, F.: The new ECMWF
seasonal forecast system (System 4), ECMWF Technical Memorandum 656, ECMWF – European
Centre for Medium Range Weather Forecasts, Shinfield Park, Reading, Berkshire, England, 2011.
Mukhopadhyay, B. and Khan, A.: A reevaluation of the snowmelt and glacial melt
in river flows within Upper Indus Basin and its significance in a changing
climate, J. Hydrol., 527, 119–132, https://doi.org/10.1016/j.jhydrol.2015.04.045, 2015.
NESPAK, AHT, and DELTARES: Hydrological Flow Forecast Model for Mangla Catchment,
Upgrading of Tools, Water Resources Database, Management Systems and Models
Under Sub Component “B1” of WCAP, Final Report, Lahore, Pakistan, 2012.
Pagano, T. C., Hartmann, H. C., and Sorooshian, S.: Factors affecting seasonal
forecast use in Arizona water management: a case study of the 1997–98 El Niño,
Clim. Res., 21, 259–269, 2002.
Plummer, N., Tuteja, N., Wang, Q. J., Wang, E., Robertson, D., Zhou, S., Schepen,
A., Alves, O., Timbal, B., and Puri, K.: A seasonal water availability prediction
service: opportunities and challenges, in: 18th World IMACS/MODSIM Congress,
13–17 July 2009, Cairns, Australia, 80–94, 2009.
Pokhrel, P., Wang, Q. J., and Robertson, D. E.: The value of model averaging
and dynamical climate model predictions for improving statistical seasonal
streamflow forecasts over Australia, Water Resour. Res., 49, 6671–6687,
https://doi.org/10.1002/wrcr.20449, 2013.
Ramos, M. H., van Andel, S. J., and Pappenberger, F.: Do probabilistic forecasts
lead to better decisions?, Hydrol. Earth Syst. Sci., 17, 2219–2232, https://doi.org/10.5194/hess-17-2219-2013, 2013.
Rango, A. and Martinec, J.: Snow accumulation derived from modified depletion
curves of snow coverage, Hydrological Aspects of Alpine and High Mountain Areas,
in: Proceedings of the Exeter Symposium, July 1982, Exeter, 83–90, 1982.
Rayner, S., Lach, D., and Ingram, H.: Weather Forecasts are for Wimps: Why
Water Resource Managers Do Not Use Climate Forecasts, Climatic Change, 69,
197–227, https://doi.org/10.1007/s10584-005-3148-z, 2005.
Robertson, D. E. and Wang, Q. J.: Seasonal Forecasts of Unregulated Inflows
into the Murray River, Australia, Water Resour. Manage., 27, 2747–2769,
https://doi.org/10.1007/s11269-013-0313-4, 2013.
Robertson, D. E. and Wang, Q. J.: A Bayesian approach to predictor selection
for seasonal streamflow forecasting, J. Hydrometeorol., 13, 155–171,
https://doi.org/10.1175/JHM-D-10-05009.1, 2012.
Robertson, D. E., Pokhrel, P., and Wang, Q. J.: Improving statistical forecasts
of seasonal streamflows using hydrological model output, Hydrol. Earth Syst.
Sci., 17, 579–593, https://doi.org/10.5194/hess-17-579-2013, 2013.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.
J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K.,
Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data Assimilation
System, B. Am. Meteorol. Soc., 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381, 2004.
Romshoo, S. A., Dar, R. A., Rashid, I., Marazi, A., Ali, N., and Zaz, S. N.:
Implications of Shrinking Cryosphere Under Changing Climate on the Streamflows
in the Lidder Catchment in the Upper Indus Basin, India, Arct. Antarct. Alp.
Res., 47, 627–644, https://doi.org/10.1657/AAAR0014-088, 2015.
Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D.,
Hou, Y.-T., Chuang, H.-Y., Iredell, M., Ek, M., Meng, J., Yang, R., Mendez, M.
P., van den Dool, H., Zhang, Q., Wang, W., Chen, M., and Becker, E.: The NCEP
Climate Forecast System Version 2, J. Climate, 27, 2185–2208, https://doi.org/10.1175/JCLI-D-12-00823.1, 2014.
Schepen, A., Wang, Q. J., and Robertson, D.: Evidence for Using Lagged Climate
Indices to Forecast Australian Seasonal Rainfall, J. Climate, 25, 1230–1246,
https://doi.org/10.1175/JCLI-D-11-00156.1, 2012.
Schepen, A., Zhao, T., Wang, Q. J., Zhou, S., and Feikema, P.: Optimising
seasonal streamflow forecast lead time for operational decision making in
Australia, Hydrol. Earth Syst. Sci., 20, 4117–4128, https://doi.org/10.5194/hess-20-4117-2016, 2016.
Schlosser, C. A., Strzepek, K., Gao, X., Fant, C., Blanc, É., Paltsev, S.,
Jacoby, H., Reilly, J., and Gueneau, A.: The future of global water stress: An
integrated assessment, Earth's Future, 2, 341–361, https://doi.org/10.1002/2014EF000238, 2014.
Shi, X., Wood, A. W., and Lettenmaier, D. P.: How essential is hydrologic model
calibration to seasonal streamflow forecasting?, J. Hydrometeorol., 9, 1350–1363,
https://doi.org/10.1175/2008JHM1001.1, 2008.
Shukla, S. and Lettenmaier, D. P.: Seasonal hydrologic prediction in the United
States: understanding the role of initial hydrologic conditions and seasonal
climate forecast skill, Hydrol. Earth Syst. Sci., 15, 3529–3538, https://doi.org/10.5194/hess-15-3529-2011, 2011.
Shukla, S., Sheffield, J., Wood, E. F., and Lettenmaier, D. P.: On the sources
of global land surface hydrologic predictability, Hydrol. Earth Syst. Sci., 17,
2781–2796, https://doi.org/10.5194/hess-17-2781-2013, 2013.
Syed, F. S., Giorgi, F., Pal, J. S., and King, M. P.: Effect of remote forcings
on the winter precipitation of central southwest Asia part 1: observations,
Theor. Appl. Climatol., 86, 147–160, https://doi.org/10.1007/s00704-005-0217-1, 2006.
Syed, F. S., Giorgi, F., Pal, J. S., and Keay, K.: Regional climate model
simulation of winter climate over Central–Southwest Asia, with emphasis on
NAO and ENSO effects, Int. J. Climatol., 30, 220–235, https://doi.org/10.1002/joc.1887, 2010.
Tahir, A. A., Chevallier, P., Arnaud, Y., Neppel, L., and Ahmad, B.:
Modeling snowmelt-runoff under climate scenarios in the Hunza River basin,
Karakoram Range, Northern Pakistan, Journal of Hydrology, 409, 104-117,
dx.doi.org/10.1016/j.jhydrol.2011.08.035, 2011.
Thyer, M., Renard, B., Kavetski, D., Kuczera, G., Franks, S. W., and Srikanthan,
S.: Critical evaluation of parameter consistency and predictive uncertainty in
hydrological modeling: A case study using Bayesian total error analysis, Water
Resour. Res., 45, W00B14, https://doi.org/10.1029/2008WR006825, 2009.
Trenberth, K. E.: Signal Versus Noise in the Southern Oscillation, Mon. Weather
Rev., 112, 326–332, https://doi.org/10.1175/1520-0493(1984)112<0326:SVNITS>2.0.CO;2, 1984.
van Dijk, A. I. J. M., Peña-Arancibia, J. L., Wood, E. F., Sheffield, J.,
and Beck, H. E.: Global analysis of seasonal streamflow predictability using
an ensemble prediction system and observations from 6192 small catchments
worldwide, Water Resour. Res., 49, 2729–2746, https://doi.org/10.1002/wrcr.20251, 2013.
Wada, Y., van Beek, L. P. H., and Bierkens, M. F. P.: Modelling global water
stress of the recent past: on the relative importance of trends in water demand
and climate variability, Hydrol. Earth Syst. Sci., 15, 3785–3808, https://doi.org/10.5194/hess-15-3785-2011, 2011.
Wang, Q. J. and Robertson, D. E.: Multisite probabilistic forecasting of seasonal
flows for streams with zero value occurrences, Water Resour. Res., 47, W02546,
https://doi.org/10.1029/2010WR009333, 2011.
Wang, Q. J., Robertson, D. E., and Chiew, F. H. S.: A Bayesian joint
probability modeling approach for seasonal forecasting of streamflows at
multiple sites, Water Resour. Res., 45, W05407, https://doi.org/10.1029/2008WR007355, 2009.
Wang, Q. J., Schepen, A., and Robertson, D. E.: Merging Seasonal Rainfall
Forecasts from Multiple Statistical Models through Bayesian Model Averaging,
J. Climate, 25, 5524–5537, https://doi.org/10.1175/JCLI-D-11-00386.1, 2012a.
Wang, Q. J., Shrestha, D. L., Robertson, D. E., and Pokhrel, P.: A log-sinh
transformation for data normalization and variance stabilization, Water Resour.
Res., 48, W05514, https://doi.org/10.1029/2011WR010973, 2012b.
Whateley, S., Palmer, R. N., and Brown, C.: Seasonal Hydroclimatic Forecasts
as Innovations and the Challenges of Adoption by Water Managers, J. Water Resour.
Pl. Manage., 141, 04014071, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000466, 2015.
Wolter, K., and Timlin, M. S.: Measuring the strength of ENSO events: How does
1997/98 rank?, Weather, 53, 315-324, https://doi.org/10.1002/j.1477-8696.1998.tb06408.x, 1998.
Wolter, K. and Timlin, M. S.: El Niño/Southern Oscillation behaviour
since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext), Int.
J. Climatol., 31, 1074–1087, https://doi.org/10.1002/joc.2336, 2011.
Wood, A. W. and Lettenmaier, D. P.: An ensemble approach for attribution of
hydrologic prediction uncertainty, Geophys. Res. Lett., 35, L14401, https://doi.org/10.1029/2008GL034648, 2008.
Wood, A. W. and Schaake, J. C.: Correcting Errors in Streamflow Forecast Ensemble
Mean and Spread, J. Hydrometeorol., 9, 132–148, https://doi.org/10.1175/2007JHM862.1, 2008.
Wood, A. W., Kumar, A., and Lettenmaier, D. P.: A retrospective assessment of
National Centers for Environmental Prediction climate model-based ensemble
hydrologic forecasting in the western United States, J. Geophys. Res.-Atmos.,
110, D04105, https://doi.org/10.1029/2004JD004508, 2005.
Wood, A. W., Hopson, T., Newman, A., Brekke, L., Arnold, J., and Clark, M.:
Quantifying Streamflow Forecast Skill Elasticity to Initial Condition and
Climate Prediction Skill, J. Hydrometeorol., 17, 651–668, https://doi.org/10.1175/JHM-D-14-0213.1, 2015.
Yadav, R. K., Rupa Kumar, K., and Rajeevan, M.: Increasing influence of ENSO
and decreasing influence of AO/NAO in the recent decades over northwest India
winter precipitation, J. Geophys. Res.-Atmos., 114, D12112, https://doi.org/10.1029/2008JD011318, 2009a.
Yadav, R. K., Yoo, J. H., Kucharski, F., and Abid, M. A.: Why is ENSO influencing
northwest India winter precipitation in recent decades?, J. Climate, 23,
1979–1993, https://doi.org/10.1175/2009JCLI3202.1, 2009b.
Yeo, I.-K. and Johnson, R. A.: A New Family of Power Transformations to Improve
Normality or Symmetry, Biometrika, 87, 954–959, 2000.
Yossef, N. C., Winsemius, H., Weerts, A., van Beek, R., and Bierkens, M. F. P.:
Skill of a global seasonal streamflow forecasting system, relative roles of
initial conditions and meteorological forcing, Water Resour. Res., 49, 4687–4699,
https://doi.org/10.1002/wrcr.20350, 2013.
Yuan, X., Wood, E. F., and Ma, Z.: A review on climate-model-based seasonal
hydrologic forecasting: physical understanding and system development, Wiley
Interdisciplin. Rev.: Water, 2, 523–536, https://doi.org/10.1002/wat2.1088, 2015.
Zheng, H. X., Wang, Q. J., Aynul, K., Shao, Q. X., Shin, D., and Tuteja, N.:
Evaluation of Downscaled POAMA M24 for Monthly and 3-Monthly Streamflow Forecasts,
in: 20th International Congress on Modelling and Simulation (Modsim2013),
1–6 December 2013, Adelaide, Australia, 2799–2805, 2013.
Short summary
Predictions of irrigation-season water availability are important for water-limited Pakistan. We assess a Bayesian joint probability approach, using flow and climate indices as predictors, to produce streamflow forecasts for inflow to Pakistan's two largest dams. The approach produces skilful and reliable forecasts. As it is simple and quick to apply, it can be used to provide probabilistic seasonal streamflow forecasts that can inform Pakistan's water management.
Predictions of irrigation-season water availability are important for water-limited Pakistan. We...
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