Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Sep 2017
Research article |
| 11 Sep 2017
Necessary storage as a signature of discharge variability: towards global maps
Kuniyoshi Takeuchi
CORRESPONDING AUTHOR
International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI), Tsukuba, 305-8516, Japan
currently at: Iwakubo-cho 392-2, Kofu, Yamanashi 400-0013, Japan
Muhammad Masood
Bangladesh Water Development Board (BWDB), Design Circle-1, Dhaka, Bangladesh
Related authors
Hongbo Zhang, Tianqi Ao, Maksym Gusyev, Hiroshi Ishidaira, Jun Magome, and Kuniyoshi Takeuchi
Proc. IAHS, 379, 323–333, https://doi.org/10.5194/piahs-379-323-2018, https://doi.org/10.5194/piahs-379-323-2018, 2018
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During my study period from master to doctor, I have been studying in the field of water resources and hydrology and water quality. Especially in my doctor-study period, I would like to develop a non-point source pollution model based on the BTOPMC model and I did it successfully although the model is so simple that its performance is not good. This experience makes me start my period of combining the hydrological model with water quality and I think I will continue the work in this area.
Muhammad Masood and Abdul Wahid Mohamed Rasmy
Proc. IAHS, 386, 27–32, https://doi.org/10.5194/piahs-386-27-2024, https://doi.org/10.5194/piahs-386-27-2024, 2024
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Early flash floods result from the abundant precipitation frequently lead to significant losses of agriculture in the north-eastern region of Bangladesh. Allocating necessary storage to provide spaces for excess water can save the crop. This study calculates the necessary storage with a new method: Flood duration curve (FDC); estimates water storage capacity by using satellite-based citizen science haor volume estimation technique and finally, investigates an alternate solution of the problem.
Hongbo Zhang, Tianqi Ao, Maksym Gusyev, Hiroshi Ishidaira, Jun Magome, and Kuniyoshi Takeuchi
Proc. IAHS, 379, 323–333, https://doi.org/10.5194/piahs-379-323-2018, https://doi.org/10.5194/piahs-379-323-2018, 2018
Short summary
Short summary
During my study period from master to doctor, I have been studying in the field of water resources and hydrology and water quality. Especially in my doctor-study period, I would like to develop a non-point source pollution model based on the BTOPMC model and I did it successfully although the model is so simple that its performance is not good. This experience makes me start my period of combining the hydrological model with water quality and I think I will continue the work in this area.
Related subject area
Subject: Global hydrology | Techniques and Approaches: Theory development
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Caitlyn A. Hall, Sheila M. Saia, Andrea L. Popp, Nilay Dogulu, Stanislaus J. Schymanski, Niels Drost, Tim van Emmerik, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 647–664, https://doi.org/10.5194/hess-26-647-2022, https://doi.org/10.5194/hess-26-647-2022, 2022
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Impactful open, accessible, reusable, and reproducible hydrologic research practices are being embraced by individuals and the community, but taking the plunge can seem overwhelming. We present the Open Hydrology Principles and Practical Guide to help hydrologists move toward open science, research, and education. We discuss the benefits and how hydrologists can overcome common challenges. We encourage all hydrologists to join the open science community (https://open-hydrology.github.io).
Demetris Koutsoyiannis and Nikos Mamassis
Hydrol. Earth Syst. Sci., 25, 2419–2444, https://doi.org/10.5194/hess-25-2419-2021, https://doi.org/10.5194/hess-25-2419-2021, 2021
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This paper is the result of new research of ancient and early modern sources about the developments of the concept of the hydrological cycle and of hydrology in general. It shows that the flooding of the Nile was the first geophysical problem formulated in scientific terms in the cradle of natural philosophy and science in the 6th century BC. Aristotle was able to find the correct solution to the problem, which he tested through what it appears to be the first scientific expedition in history.
Richard D. Crago, Jozsef Szilagyi, and Russell Qualls
Hydrol. Earth Syst. Sci., 25, 63–68, https://doi.org/10.5194/hess-25-63-2021, https://doi.org/10.5194/hess-25-63-2021, 2021
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The sigmoid-shaped complementary relationship (CR) for regional evaporation proposed by Han and Tian (2018, 2020) is reconsidered in terms of (1) its ability to give reasonable evaporation results from sites worldwide, (2) evidence for the three-state evaporation process it posits, (3) the validity of the proof provided by Han and Tian (2018), and (4) the relevance of model studies that seem to support it. Arguments for the sigmoid shape deserve to be taken seriously but remain unconvincing.
Caspar T. J. Roebroek, Lieke A. Melsen, Anne J. Hoek van Dijke, Ying Fan, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 4625–4639, https://doi.org/10.5194/hess-24-4625-2020, https://doi.org/10.5194/hess-24-4625-2020, 2020
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Vegetation is a principal component in the Earth system models that are used for weather, climate and other environmental predictions. Water is one of the main drivers of vegetation; however, the global distribution of how water influences vegetation is not well understood. This study looks at spatial patterns of photosynthesis and water sources (rain and groundwater) to obtain a first understanding of water access and limitations for the growth of global forests (proxy for natural vegetation).
Dongqin Yin and Michael L. Roderick
Hydrol. Earth Syst. Sci., 24, 381–396, https://doi.org/10.5194/hess-24-381-2020, https://doi.org/10.5194/hess-24-381-2020, 2020
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We focus on the initial analysis of inter-annual variability in the global terrestrial water cycle, which is key to understanding hydro-climate extremes. We find that (1) the partitioning of inter-annual variability is totally different with the mean state partitioning; (2) the magnitude of covariances can be large and negative, indicating the variability in the sinks can exceed variability in the source; and (3) the partitioning is relevant to the water storage capacity and snow/ice presence.
Louise J. Slater, Guillaume Thirel, Shaun Harrigan, Olivier Delaigue, Alexander Hurley, Abdou Khouakhi, Ilaria Prosdocimi, Claudia Vitolo, and Katie Smith
Hydrol. Earth Syst. Sci., 23, 2939–2963, https://doi.org/10.5194/hess-23-2939-2019, https://doi.org/10.5194/hess-23-2939-2019, 2019
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This paper explores the benefits and advantages of R's usage in hydrology. We provide an overview of a typical hydrological workflow based on reproducible principles and packages for retrieval of hydro-meteorological data, spatial analysis, hydrological modelling, statistics, and the design of static and dynamic visualizations and documents. We discuss some of the challenges that arise when using R in hydrology as well as a roadmap for R’s future within the discipline.
Yoann Robin, Mathieu Vrac, Philippe Naveau, and Pascal Yiou
Hydrol. Earth Syst. Sci., 23, 773–786, https://doi.org/10.5194/hess-23-773-2019, https://doi.org/10.5194/hess-23-773-2019, 2019
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Joe M. Osborne and F. Hugo Lambert
Hydrol. Earth Syst. Sci., 22, 6043–6057, https://doi.org/10.5194/hess-22-6043-2018, https://doi.org/10.5194/hess-22-6043-2018, 2018
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We want to estimate how much water will be available in a river basin (runoff) at the end of the 21st century. Climate models alone are considered unsuitable for this task due to biases in representing the present-day climate. We show that the output from these models can be corrected using a simple mathematical framework. This approach narrows the range of future runoff projections for the Yellow river in China by 34 %. It serves as a quick tool for updating projections from climate models.
Erin Coughlan de Perez, Elisabeth Stephens, Konstantinos Bischiniotis, Maarten van Aalst, Bart van den Hurk, Simon Mason, Hannah Nissan, and Florian Pappenberger
Hydrol. Earth Syst. Sci., 21, 4517–4524, https://doi.org/10.5194/hess-21-4517-2017, https://doi.org/10.5194/hess-21-4517-2017, 2017
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Disaster managers would like to use seasonal forecasts to anticipate flooding months in advance. However, current seasonal forecasts give information on rainfall instead of flooding. Here, we find that the number of extreme events, rather than total rainfall, is most related to flooding in different regions of Africa. We recommend several forecast adjustments and research opportunities that would improve flood information at the seasonal timescale in different regions.
Randal D. Koster, Alan K. Betts, Paul A. Dirmeyer, Marc Bierkens, Katrina E. Bennett, Stephen J. Déry, Jason P. Evans, Rong Fu, Felipe Hernandez, L. Ruby Leung, Xu Liang, Muhammad Masood, Hubert Savenije, Guiling Wang, and Xing Yuan
Hydrol. Earth Syst. Sci., 21, 3777–3798, https://doi.org/10.5194/hess-21-3777-2017, https://doi.org/10.5194/hess-21-3777-2017, 2017
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Large-scale hydrological variability can affect society in profound ways; floods and droughts, for example, often cause major damage and hardship. A recent gathering of hydrologists at a symposium to honor the career of Professor Eric Wood motivates the present survey of recent research on this variability. The surveyed literature and the illustrative examples provided in the paper show that research into hydrological variability continues to be strong, vibrant, and multifaceted.
Maik Heistermann
Hydrol. Earth Syst. Sci., 21, 3455–3461, https://doi.org/10.5194/hess-21-3455-2017, https://doi.org/10.5194/hess-21-3455-2017, 2017
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In 2009, the "planetary boundaries" were introduced. They consist of nine global control variables and corresponding "thresholds which, if crossed, could generate unacceptable environmental change". The idea has been very successful, but also controversial. This paper picks up the debate with regard to the boundary on "global freshwater use": it argues that such a boundary is based on mere speculation, and that any exercise of assigning actual numbers is arbitrary, premature, and misleading.
Erik Tijdeman, Sophie Bachmair, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 20, 4043–4059, https://doi.org/10.5194/hess-20-4043-2016, https://doi.org/10.5194/hess-20-4043-2016, 2016
Anne F. Van Loon, Kerstin Stahl, Giuliano Di Baldassarre, Julian Clark, Sally Rangecroft, Niko Wanders, Tom Gleeson, Albert I. J. M. Van Dijk, Lena M. Tallaksen, Jamie Hannaford, Remko Uijlenhoet, Adriaan J. Teuling, David M. Hannah, Justin Sheffield, Mark Svoboda, Boud Verbeiren, Thorsten Wagener, and Henny A. J. Van Lanen
Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, https://doi.org/10.5194/hess-20-3631-2016, 2016
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In the Anthropocene, drought cannot be viewed as a natural hazard independent of people. Drought can be alleviated or made worse by human activities and drought impacts are dependent on a myriad of factors. In this paper, we identify research gaps and suggest a framework that will allow us to adequately analyse and manage drought in the Anthropocene. We need to focus on attribution of drought to different drivers, linking drought to its impacts, and feedbacks between drought and society.
Erin Coughlan de Perez, Bart van den Hurk, Maarten K. van Aalst, Irene Amuron, Deus Bamanya, Tristan Hauser, Brenden Jongma, Ana Lopez, Simon Mason, Janot Mendler de Suarez, Florian Pappenberger, Alexandra Rueth, Elisabeth Stephens, Pablo Suarez, Jurjen Wagemaker, and Ervin Zsoter
Hydrol. Earth Syst. Sci., 20, 3549–3560, https://doi.org/10.5194/hess-20-3549-2016, https://doi.org/10.5194/hess-20-3549-2016, 2016
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Many flood disaster impacts could be avoided by preventative action; however, early action is not guaranteed. This article demonstrates the design of a new system of forecast-based financing, which automatically triggers action when a flood forecast arrives, before a potential disaster. We establish "action triggers" for northern Uganda based on a global flood forecasting system, verifying these forecasts and assessing the uncertainties inherent in setting a trigger in a data-scarce location.
Mathew A. Stiller-Reeve, Céline Heuzé, William T. Ball, Rachel H. White, Gabriele Messori, Karin van der Wiel, Iselin Medhaug, Annemarie H. Eckes, Amee O'Callaghan, Mike J. Newland, Sian R. Williams, Matthew Kasoar, Hella Elisa Wittmeier, and Valerie Kumer
Hydrol. Earth Syst. Sci., 20, 2965–2973, https://doi.org/10.5194/hess-20-2965-2016, https://doi.org/10.5194/hess-20-2965-2016, 2016
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Scientific writing must improve and the key to long-term improvement of scientific writing lies with the early-career scientist (ECS). We introduce the ClimateSnack project, which aims to motivate ECSs to start writing groups around the world to improve their skills together. Writing groups offer many benefits but can be a challenge to keep going. Several ClimateSnack writing groups formed, and this paper examines why some of the groups flourished and others dissolved.
Peter Greve, Lukas Gudmundsson, Boris Orlowsky, and Sonia I. Seneviratne
Hydrol. Earth Syst. Sci., 20, 2195–2205, https://doi.org/10.5194/hess-20-2195-2016, https://doi.org/10.5194/hess-20-2195-2016, 2016
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The widely used Budyko framework is by definition limited to steady-state conditions. In this study we analytically derive a new, two-parameter formulation of the Budyko framework that represents conditions under which evapotranspiration exceeds precipitation. This is technically achieved by rotating the water supply limit within the Budyko space. The new formulation is shown to be capable to represent first-order seasonal dynamics within the hydroclimatological system.
R. Fernandez and T. Sayama
Hydrol. Earth Syst. Sci., 19, 1919–1942, https://doi.org/10.5194/hess-19-1919-2015, https://doi.org/10.5194/hess-19-1919-2015, 2015
P. Molnar, S. Fatichi, L. Gaál, J. Szolgay, and P. Burlando
Hydrol. Earth Syst. Sci., 19, 1753–1766, https://doi.org/10.5194/hess-19-1753-2015, https://doi.org/10.5194/hess-19-1753-2015, 2015
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We present an empirical study of the rates of increase in precipitation intensity with air temperature using high-resolution 10 min precipitation records in Switzerland. We estimated the scaling rates for lightning (convective) and non-lightning event subsets and show that scaling rates are between 7 and 14%/C for convective rain and that mixing of storm types exaggerates the relations to air temperature. Doubled CC rates reported by other studies are an exception in our data set.
A. V. Pastor, F. Ludwig, H. Biemans, H. Hoff, and P. Kabat
Hydrol. Earth Syst. Sci., 18, 5041–5059, https://doi.org/10.5194/hess-18-5041-2014, https://doi.org/10.5194/hess-18-5041-2014, 2014
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Freshwater ecosystems encompass the most threatened species on earth. Environmental flow requirements need to be addressed globally to provide sufficient water for humans and nature. We present a comparison of five environmental flow methods validated with locally calculated EFRs. We showed that methods based on monthly average flow such as the variable monthly flow method are more reliable than methods based on annual thresholds. A range of EFRs was calculated for large river basins.
P. K. Weiskel, D. M. Wolock, P. J. Zarriello, R. M. Vogel, S. B. Levin, and R. M. Lent
Hydrol. Earth Syst. Sci., 18, 3855–3872, https://doi.org/10.5194/hess-18-3855-2014, https://doi.org/10.5194/hess-18-3855-2014, 2014
S. J. Sutanto, B. van den Hurk, P. A. Dirmeyer, S. I. Seneviratne, T. Röckmann, K. E. Trenberth, E. M. Blyth, J. Wenninger, and G. Hoffmann
Hydrol. Earth Syst. Sci., 18, 2815–2827, https://doi.org/10.5194/hess-18-2815-2014, https://doi.org/10.5194/hess-18-2815-2014, 2014
A. Kleidon, M. Renner, and P. Porada
Hydrol. Earth Syst. Sci., 18, 2201–2218, https://doi.org/10.5194/hess-18-2201-2014, https://doi.org/10.5194/hess-18-2201-2014, 2014
M. L. Roderick, F. Sun, W. H. Lim, and G. D. Farquhar
Hydrol. Earth Syst. Sci., 18, 1575–1589, https://doi.org/10.5194/hess-18-1575-2014, https://doi.org/10.5194/hess-18-1575-2014, 2014
S. Manfreda, L. Brocca, T. Moramarco, F. Melone, and J. Sheffield
Hydrol. Earth Syst. Sci., 18, 1199–1212, https://doi.org/10.5194/hess-18-1199-2014, https://doi.org/10.5194/hess-18-1199-2014, 2014
C. O'Bannon, J. Carr, D. A. Seekell, and P. D'Odorico
Hydrol. Earth Syst. Sci., 18, 503–510, https://doi.org/10.5194/hess-18-503-2014, https://doi.org/10.5194/hess-18-503-2014, 2014
L. Gong
Hydrol. Earth Syst. Sci., 18, 343–352, https://doi.org/10.5194/hess-18-343-2014, https://doi.org/10.5194/hess-18-343-2014, 2014
E. Joetzjer, H. Douville, C. Delire, P. Ciais, B. Decharme, and S. Tyteca
Hydrol. Earth Syst. Sci., 17, 4885–4895, https://doi.org/10.5194/hess-17-4885-2013, https://doi.org/10.5194/hess-17-4885-2013, 2013
A. M. Ukkola and I. C. Prentice
Hydrol. Earth Syst. Sci., 17, 4177–4187, https://doi.org/10.5194/hess-17-4177-2013, https://doi.org/10.5194/hess-17-4177-2013, 2013
A. Kleidon and M. Renner
Hydrol. Earth Syst. Sci., 17, 2873–2892, https://doi.org/10.5194/hess-17-2873-2013, https://doi.org/10.5194/hess-17-2873-2013, 2013
H. A. J. Van Lanen, N. Wanders, L. M. Tallaksen, and A. F. Van Loon
Hydrol. Earth Syst. Sci., 17, 1715–1732, https://doi.org/10.5194/hess-17-1715-2013, https://doi.org/10.5194/hess-17-1715-2013, 2013
M. Meybeck, M. Kummu, and H. H. Dürr
Hydrol. Earth Syst. Sci., 17, 1093–1111, https://doi.org/10.5194/hess-17-1093-2013, https://doi.org/10.5194/hess-17-1093-2013, 2013
M. Renner, R. Seppelt, and C. Bernhofer
Hydrol. Earth Syst. Sci., 16, 1419–1433, https://doi.org/10.5194/hess-16-1419-2012, https://doi.org/10.5194/hess-16-1419-2012, 2012
A. J. Teuling
Hydrol. Earth Syst. Sci., 15, 3071–3075, https://doi.org/10.5194/hess-15-3071-2011, https://doi.org/10.5194/hess-15-3071-2011, 2011
B. Bisselink and A. J. Dolman
Hydrol. Earth Syst. Sci., 13, 1685–1697, https://doi.org/10.5194/hess-13-1685-2009, https://doi.org/10.5194/hess-13-1685-2009, 2009
Cited articles
Ao, T. Q., Ishidaira, H., and Takeuchi, K.: Study of distributed runoff simulation model based on block type TOPMODEL and Muskingum-Cunge method, Ann. J. Hydraul. Eng., JSCE, 43, 7–12, 1999.
Ao, T., Yoshitani, J., Takeuchi, K., Fukami, H., Matsuura, T., and Ishidaira, H.: Effects of sub-basin scale on runoff simulation in distributed model: BTOPMC, IAHS Publ., 282, 227–233, 2003.
Ao, T., Ishidaira, H., Takeuchi, K., Kiem, A., Yoshitani, J., Fukami, K., and Magome, J.: Relating BTOPMC model parameters to physical features of MOPEX basins, J. Hydrol., 320, 84–102, 2006.
AQUASTAT: Ganges-Brahmaputra-Meghna river basin, Irrigation in Southern and Eastern Asia in figures – AQUASTAT Survey – 2011, http://www.fao.org/nr/water/aquastat/basins/gbm/index.stm (last access: 1 September 2017), 2011.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of hydrology, Hydrological Science-Bulletin, 24, 43–69, 1979.
Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., and Savenije, H. (Eds.): Runoff Prediction in Ungauged Basins, in: Runoff prediction in ungauged basins: Synthesis across processes, places and scales, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781139235761, 2013.
Creager, W. P., Justin, J. D., and Hinds, J.: Engineering for Dams, vol. 1, John Wiley, NY, USA, 1945.
Cunge, J. A.: On the subject of a flood propagation computation method (Muskingum method), J. Hydraul. Res., 7., 205–230, 1969.
Feller, W.: The asymptotic distribution of the range of sums of independent random variables, Ann. Math. Stat., 22, 427–432, 1951.
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N., and Savenije, H. H. G.: Climate controls how ecosystems size the root zone storage capacity at catchment scale, Geophys. Res. Lett., AGU, 7916–7923, https://doi.org/10.1002/2014GL061668, 2014.
Gusyev, M., Gädeke, A., Cullmann, J., Magome, J., Sugiura, A., Sawano, H., and Takeuchi, K.: Connecting global- and local-scale flood risk assessment: a case study of the Rhine River basin flood hazard, J. Flood Risk Manage., https://doi.org/10.1111/jfr3.12243, in press, 2016.
Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, K.: An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing, Hydrol. Earth Syst. Sci., 12, 1007–1025, https://doi.org/10.5194/hess-12-1007-2008, 2008.
Hapuarachchi, H. A. P., Kuniyoshi Takeuchi, K., Zhou, M., Kiem, A. S., Georgievski, M., Magome, J., and Ishidaira, H.: Investigation of the Mekong River basin hydrology for 1980-2000 using the YHyM, Hydrolog. Process., 22, 1246–1256, 2008.
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., Kim , H., and Kanae, S.: Global flood risk under climate change, Nature Climate Change, 3, 816–821, https://doi.org/10.1038/nclimate1911, 2013.
Hurst, H. E.: Long-term storage capacity of reservoirs, Transactions of the American Society of Civil Engineering, 116, 770–799, 1951.
IWM: Updating and validation of North West Region Model (NWRM), Institute of Water Modelling, Bangladesh, 2006.
Klemes, V.: Storage mass-curve analysis in a systems-analytic perspective, Water Resources Research, 15, 359–370, 1979.
Kikkawa, H. and Takeuchi, K.: Characteristics of Drought Duration Curve and its Application, Proc. JSCE, 234, 61-71, 1975 (in Japanese).
Lehner, B., Verdin, K., and Jarvis, A.: HydroSHEDS technical documentation v1.0, World Wildlife Fund US, Washington, D.C., 1–27, 2006.
Lehner, B., Liermann, C. R., Revenga, C., Vörösmarty, C., Fekete, B, Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J., Rödel, R., Sindorf, N., and Wisser, D.: High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management, Front. Ecol. Environ., 9, 494–502, 2011.
Maass, A., Hufschmidt, M. M., Dorfman, R., Thomas, H. A., Marglin, S. A., and Fair, G. M.: Design of water-resource systems, Harvard Univ. Press, Cambridge, Mass., USA, 1962.
Magome, J., Gusyev, M. A., Hasegawa, A., and Takeuchi, K.: River discharge simulation of a distributed hydrological model on global scale for the hazard quantification, Proc. 21st International Congress on Modelling and Simulation (MODSIM2015), Broadbeach, Queensland, Australia, 2015, 1593–1599, ISBN: 978-0-9872143-5-5, 2015.
Mandelbrot, B. B. and Wallis, J. R.: Computer experiments with fractional Gaussian noises: Part 2, rescaled ranges and spectra, Water Resour. Res., 5, 242–259, 1969.
Masood, M. and Takeuchi, K.: Climate Change Impact on the Manageability of Floods and Droughts of the Ganges-Brahmaputra-Meghna Basins Using Flood Duration Curves and Drought Duration Curves, J. Disaster Research, 5, 991–1000, 2015a.
Masood, M. and Takeuchi, K.: Persistence Characteristics of Floods and Droughts of the Ganges-Brahmaputra-Meghna Basins Using Flood Duration Curve and Drought Duration Curve, J. Water Resource and Hydraulic Engineering, 4, 413–421, 2015b.
Masood, M., Yeh, P. J.-F., Hanasaki, N., and Takeuchi, K.: Model study of the impacts of future climate change on the hydrology of Ganges–Brahmaputra–Meghna basin, Hydrol. Earth Syst. Sci., 19, 747–770, https://doi.org/10.5194/hess-19-747-2015, 2015c.
Masutani, K. and Magome, J.: An Application of Modified Muskingum-Cunge Routing Method with Water Conservation Condition to a Distributed Runoff Model, J. Japan Soc. Hydrol and Water Res., 22, 294–300, 2009.
Mirza, M. M. Q.: Global warming and changes in the probability of occurrence of floods in Bangladesh and implications, Global Environ. Chang., 12, 127–138, 2002.
Moran, P. A. P.: The theory of storage, John Wiley & Sons, Inc., New York, 1959.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I – a discussion of principles, J. Hydrol., 10, 282–290, 1970.
Pfly: Ganges-Brahmaputra-Meghna basins available at: http://en.wikipedia.org/wiki/File:Ganges-Brahmaputra-Meghna_basins.jpg# (last access: February 2017), 2011.
Rippl, W.: The capacity of storage-reservoirs for water-supply, Minutes Proc. Inst. Civil Eng., 71, 270–278, 1883.
Sevat, E. and Dezetter, A.: Selection of calibration objective functions in the context of rainfall-runoff modeling in a Sudanese savannah area, Hydrolog. Sci. J., 36, 307–330, 1991.
Takeuchi, K.: Chance-constrained Model for Real-time Reservoir Operation Using Drought Duration Curve, Water Resour. Res., 22, 551–558, 1986.
Takeuchi, K.: Hydrological Persistence Characteristics of Floods and Droughts – Interregional comparisons, J. Hydrol., 102, 49–67, 1988.
Takeuchi, K. and Kikkawa, H.: Drought Duration Curve Method as Compared with Mass Curve Method, P. JSCE, 303, 53–63, 1980 (in Japanese).
Takeuchi, K., Ao, T., and Ishidaira, H.: Introduction of block-wise use of TOPMODEL and Muskingum-Cunge method for the hydroenvironmental simulation of a large ungauged basin, Hydrolog. Sci. J., 44, 633–646, 1999.
Takeuchi, K., Hapuarachchi, H. A. P., Zhou, M., Ishidaira, H., and Magome, J.: A BTOP model to extend TOPMODEL for distributed hydrological simulation of large basins, Hydrol. Process., 22, 3236–3251, 2008.
Takeuchi, K., Hapuarachchi, H. A. P., Kiem, A. S., Ishidaira, H., Ao, T. Q., Magome, J., Zhou, M. C., Georgievski, M., Wang, G., and Yoshimura, C.: Distributed runoff predictions in the Mekong River basin, in: Run-off Prediction in Ungauged Basins, Synthesis across Processes, Places and Scales, edited by: Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., and Savenije, H., Cambridge University Press, 349–352, 2013.
Tateishi, R., Hoan, N. T., Kobayashi, T., Alsaaideh, B., Tana, G., and Phong, D. X.: Production of Global Land Cover Data – GLCNMO2008, J. Geogr. Geol., 6, 99–122, https://doi.org/10.5539/jgg.v6n3p99, 2014.
Thomas, H. A. and Fiering, M. B.: Mathematical synthesis of streamflow sequences for the analysis of river basins by simulation, in: Design of water-resource systems, chap. 12, edited by: Maass, A., Hufschmidt, M. M., Dorfman, R., Thomas Jr., H. A., Marglin, S. A., and Fair, G. M., Harvard Univ. Press, Cambridge, Mass., USA, 1962.
Valencia, D. and Schaake, J. C.: Disaggregation processes in stochastic hydrology, Water Resour. Res., 9, 211–219, 1973.
Weedon, G. P., Gomes, S., Viterbo, P., Österle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.: The watch forcing data 1958–2001: a meteorological forcing dataset for land surface and hydrological models, WATCH Technical Report No. 22, 1–41, 2010.
Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, J., Blyth, E., Österle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.: Creation of the WATCH Forcing Data and its use to assess global and regional reference crop evaporation over land during the twentieth century, J. Hydrometeorol., 12, 823–848, 2011.
Wood, E. F., Sivapalan, M., Beven, K., and Band, L.: Effects of spatial variability and scale with implications to hydrologic modelling, J. Hydrol., 102, 29–47, 1988.
Short summary
There are many global maps of hydrology and water resources, but none on necessary storage to smooth out discharge variability. This paper provides a methodology to create such a map, taking the Ganges–Brahmaputra–Meghna basin as an example. Necessary storage is calculated by a new method, intensity–duration–frequency curves of flood and drought (FDC–DDC). Necessary storage serves as a signature of hydrological variability and its geographical distribution provides new insights for hydrology.
There are many global maps of hydrology and water resources, but none on necessary storage to...
