Articles | Volume 24, issue 10
https://doi.org/10.5194/hess-24-4831-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4831-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing global water mass transfers from continents to oceans over the period 1948–2016
Denise Cáceres
CORRESPONDING AUTHOR
Institute of Physical Geography, Goethe University Frankfurt,
Frankfurt am Main, Germany
Ben Marzeion
Institute of Geography, University of Bremen, Bremen, Germany
MARUM – Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Jan Hendrik Malles
Institute of Geography, University of Bremen, Bremen, Germany
MARUM – Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Benjamin Daniel Gutknecht
Institut für Planetare Geodäsie, Technische Universität
Dresden, Dresden, Germany
Hannes Müller Schmied
Institute of Physical Geography, Goethe University Frankfurt,
Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
Petra Döll
Institute of Physical Geography, Goethe University Frankfurt,
Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
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Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Lukas Gudmundsson, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
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Geosci. Model Dev., 17, 1–51, https://doi.org/10.5194/gmd-17-1-2024, https://doi.org/10.5194/gmd-17-1-2024, 2024
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Our paper provides an overview of all observational climate-related and socioeconomic forcing data used as input for the impact model evaluation and impact attribution experiments within the third round of the Inter-Sectoral Impact Model Intercomparison Project. The experiments are designed to test our understanding of observed changes in natural and human systems and to quantify to what degree these changes have already been induced by climate change.
Thedini Asali Peiris and Petra Döll
Hydrol. Earth Syst. Sci., 27, 3663–3686, https://doi.org/10.5194/hess-27-3663-2023, https://doi.org/10.5194/hess-27-3663-2023, 2023
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Kedar Otta, Hannes Müller Schmied, Simon N. Gosling, and Naota Hanasaki
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-215, https://doi.org/10.5194/hess-2023-215, 2023
Revised manuscript not accepted
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Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Nidheesh Gangadharan, Hugues Goosse, David Parkes, Heiko Goelzer, Fabien Maussion, and Ben Marzeion
Earth Syst. Dynam., 13, 1417–1435, https://doi.org/10.5194/esd-13-1417-2022, https://doi.org/10.5194/esd-13-1417-2022, 2022
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We describe the contributions of ocean thermal expansion and land-ice melting (ice sheets and glaciers) to global-mean sea-level (GMSL) changes in the Common Era. The mass contributions are the major sources of GMSL changes in the pre-industrial Common Era and glaciers are the largest contributor. The paper also describes the current state of climate modelling, uncertainties and knowledge gaps along with the potential implications of the past variabilities in the contemporary sea-level rise.
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022, https://doi.org/10.5194/hess-26-3315-2022, 2022
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Direct and indirect human actions have altered streamflow across the world since pre-industrial times. Here, we apply a method of environmental flow envelopes (EFEs) that develops the existing global environmental flow assessments by methodological advances and better consideration of uncertainty. By assessing the violations of the EFE, we comprehensively quantify the frequency, severity, and trends of flow alteration during the past decades, illustrating anthropogenic effects on streamflow.
Martin Horwath, Benjamin D. Gutknecht, Anny Cazenave, Hindumathi Kulaiappan Palanisamy, Florence Marti, Ben Marzeion, Frank Paul, Raymond Le Bris, Anna E. Hogg, Inès Otosaka, Andrew Shepherd, Petra Döll, Denise Cáceres, Hannes Müller Schmied, Johnny A. Johannessen, Jan Even Øie Nilsen, Roshin P. Raj, René Forsberg, Louise Sandberg Sørensen, Valentina R. Barletta, Sebastian B. Simonsen, Per Knudsen, Ole Baltazar Andersen, Heidi Ranndal, Stine K. Rose, Christopher J. Merchant, Claire R. Macintosh, Karina von Schuckmann, Kristin Novotny, Andreas Groh, Marco Restano, and Jérôme Benveniste
Earth Syst. Sci. Data, 14, 411–447, https://doi.org/10.5194/essd-14-411-2022, https://doi.org/10.5194/essd-14-411-2022, 2022
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Global mean sea-level change observed from 1993 to 2016 (mean rate of 3.05 mm yr−1) matches the combined effect of changes in water density (thermal expansion) and ocean mass. Ocean-mass change has been assessed through the contributions from glaciers, ice sheets, and land water storage or directly from satellite data since 2003. Our budget assessments of linear trends and monthly anomalies utilise new datasets and uncertainty characterisations developed within ESA's Climate Change Initiative.
Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
Geosci. Model Dev., 14, 7545–7571, https://doi.org/10.5194/gmd-14-7545-2021, https://doi.org/10.5194/gmd-14-7545-2021, 2021
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Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
Ben Marzeion
Earth Syst. Dynam., 12, 1057–1060, https://doi.org/10.5194/esd-12-1057-2021, https://doi.org/10.5194/esd-12-1057-2021, 2021
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The oceans are typically darker than land surfaces. Expanding oceans through sea-level rise may thus lead to a darker planet Earth, reflecting less sunlight. The additionally absorbed sunlight may heat planet Earth, leading to further sea-level rise. Here, we provide a rough estimate of the strength of this feedback: it turns out to be very weak, but clearly positive, thereby destabilizing the Earth system.
Jan-Hendrik Malles and Ben Marzeion
The Cryosphere, 15, 3135–3157, https://doi.org/10.5194/tc-15-3135-2021, https://doi.org/10.5194/tc-15-3135-2021, 2021
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To better estimate the uncertainty in glacier mass change modeling during the 20th century we ran an established model with an ensemble of meteorological data sets. We find that the total ensemble uncertainty, especially in the early 20th century, when glaciological and meteorological observations at glacier locations were sparse, increases considerably compared to individual ensemble runs. This stems from regions with a lot of ice mass but few observations (e.g., Greenland periphery).
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
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We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Eklavyya Popat and Petra Döll
Nat. Hazards Earth Syst. Sci., 21, 1337–1354, https://doi.org/10.5194/nhess-21-1337-2021, https://doi.org/10.5194/nhess-21-1337-2021, 2021
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Two drought hazard indices are presented that combine drought deficit and anomaly aspects: one for soil moisture drought (SMDAI) where we simplified the DSI and the other for streamflow drought (QDAI), which is to our knowledge the first ever deficit anomaly drought index including surface water demand. Both indices are tested at the global scale with WaterGAP 2.2d outputs, providing more differentiated spatial and temporal patterns distinguishing the actual degree of respective drought hazard.
Gerard H. Roe, John Erich Christian, and Ben Marzeion
The Cryosphere, 15, 1889–1905, https://doi.org/10.5194/tc-15-1889-2021, https://doi.org/10.5194/tc-15-1889-2021, 2021
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The worldwide retreat of mountain glaciers and consequent loss of ice mass is one of the most obvious signs of a changing climate and has significant implications for the hydrology and natural hazards in mountain landscapes. Consistent with our understanding of the human role in temperature change, we demonstrate that the central estimate of the size of the human-caused mass loss is essentially 100 % of the observed loss. This assessment resolves some important inconsistencies in the literature.
Hannes Müller Schmied, Denise Cáceres, Stephanie Eisner, Martina Flörke, Claudia Herbert, Christoph Niemann, Thedini Asali Peiris, Eklavyya Popat, Felix Theodor Portmann, Robert Reinecke, Maike Schumacher, Somayeh Shadkam, Camelia-Eliza Telteu, Tim Trautmann, and Petra Döll
Geosci. Model Dev., 14, 1037–1079, https://doi.org/10.5194/gmd-14-1037-2021, https://doi.org/10.5194/gmd-14-1037-2021, 2021
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In a globalized world with large flows of virtual water between river basins and international responsibilities for the sustainable development of the Earth system and its inhabitants, quantitative estimates of water flows and storages and of water demand by humans are required. Global hydrological models such as WaterGAP are developed to provide this information. Here we present a thorough description, evaluation and application examples of the most recent model version, WaterGAP v2.2d.
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Lauren Seaby Andersen, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, https://doi.org/10.5194/hess-25-787-2021, 2021
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Billions of people rely on groundwater as an accessible source of drinking water and for irrigation, especially in times of drought. Groundwater recharge is the primary process of regenerating groundwater resources. We find that groundwater recharge will increase in northern Europe by about 19 % and decrease by 10 % in the Amazon with 3 °C global warming. In the Mediterranean, a 2 °C warming has already lead to a reduction in recharge by 38 %. However, these model predictions are uncertain.
Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Stefan Lange, Hannes Müller Schmied, Hans Hersbach, and Carlo Buontempo
Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020, https://doi.org/10.5194/essd-12-2097-2020, 2020
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WFDE5 is a novel meteorological forcing dataset for running land surface and global hydrological models. It has been generated using the WATCH Forcing Data methodology applied to surface meteorological variables from the ERA5 reanalysis. It is publicly available, along with its source code, through the C3S Climate Data Store at ECMWF. Results of the evaluations described in the paper highlight the benefits of using WFDE5 compared to both ERA5 and its predecessor WFDEI.
Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, James Hansen, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena García-García, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killick, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E. Wijffels
Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020, https://doi.org/10.5194/essd-12-2013-2020, 2020
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Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to obtain the Earth heat inventory over the period 1960–2018.
Cited articles
Bahr, D. B., Meier, M. F., and Peckham, S. D.: The physical basis of glacier
volume-area scaling, J. Geophys. Res., 102, 20355–20362, 1997.
Bamber, J. L., Westaway, R. M., Marzeion, B., and Wouters, B.: The land ice
contribution to sea level during the satellite era, Environ. Res. Lett., 13,
063008, https://doi.org/10.1088/1748-9326/aac2f0, 2018.
Bergmann-Wolf, I., Zhang, L., and Dobslaw, H.: Global eustatic sea-level
variations for the approximation of geocenter motion from grace, J. Geod. Sci., 4, 37–48, https://doi.org/10.2478/jogs-2014-0006, 2014.
Blazquez, A., Meyssignac, B., Lemoine, J. M., Berthier, E., Ribes, A., and
Cazenave, A.: Exploring the uncertainty in GRACE estimates of the mass
redistributions at the Earth surface: implications for the global water and
sea level budgets, Geophys. J. Int., 215, 1, 415–430,
https://doi.org/10.1093/gji/ggy293, 2018.
Boening, C., Willis, J. K., Landerer, F. W., Nerem, R. S., and Fasullo, J.:
The 2011 La Niña: So strong, the oceans fell, Geophys. Res. Lett., 39, 19, L19602, https://doi.org/10.1029/2012GL053055, 2012.
Caron, L., Ivins, E. R., Larour, E., Adhikari, S., Nilsson, J., and Blewitt,
G.: GIA model statistics for GRACE hydrology, cryosphere, and ocean science,
Geophys. Res. Lett., 45, 2203–2212, https://doi.org/10.1002/2017GL076644, 2018.
Cazenave, A. and Llovel, W.: Contemporary sea level rise, Annu. Rev. Mar. Sci., 2, 145–173, https://doi.org/10.1146/annurev-marine-120308-081105, 2010.
Cazenave, A., Henry, O., Munier, S., Delcroix, T., Gordon, A. L.,
Meyssignac, B., Llovel, W., Palanisamy, H., and Becker, M.: Estimating ENSO
influence on the global mean sea level, 1993–2010, Mar. Geo., 35,
82–97, https://doi.org/10.1080/01490419.2012.718209, 2012.
Chambers, D. P., Cazenave, A., Champollion, N., Dieng, H., Llovel, W.,
Forsberg, R., von Schuckmann, K., and Wada, Y.: Evaluation of the global
mean sea level budget between 1993 and 2014, Surv. Geophys., 38, 309–327,
https://doi.org/10.1007/s10712-016-9381-3, 2017.
Chao, B. F., Wu, Y. H., and Li, Y. S.: Impact of artificial reservoir water
impoundment on global sea level, Science, 320, 5873, 212–214,
https://doi.org/10.1126/science.1154580, 2008.
Cheng, M., Tapley, B. D., and Ries, J. C.: Deceleration in the Earth's
oblateness, J. Geophys. Res.-Solid Ea., 118, 740–747,
https://doi.org/10.1002/jgrb.50058, 2013.
Church, J. A., Clark, P. U., Cazenave, A., Gregory, J. M., Jevrejeva, S.,
Levermann, A., Merrifield, M. A., Milne, G. A., Nerem, R. S., Nunn, P. D.,
Payne, A. J., Pfeffer, W. T., Stammer, D., and Unnikrishnan, A. S.: Sea
level change, in: Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1137–1216, available at: https://www.ipcc.ch/report/ar5/wg1/ (last access: 21 October 2019) 2013.
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J.,
Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P.,
Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman,
P. Y., Jones, P. D., Kruk, M. C., Kruger, A. C., Marshall, G. J., Maugeri,
M., Mok, H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M., Wang, X. L.,
Woodruff, S. D., and Worley, S. J.: The twentieth century reanalysis
project, Q. J. Roy. Meteor. Soc., 137, 658, 1–28, https://doi.org/10.1002/qj.776, 2011.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis:
configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 656, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dieng, H. B., Champollion, N., Cazenave, A., Wada, Y., Schrama, E., and
Meyssignac, B.: Total land water storage change over 2003–2013 estimated
from a global mass budget approach, Environ. Res. Lett., 10, 12, 124010,
https://doi.org/10.1088/1748-9326/10/12/124010, 2015.
Dieng, H. B., Cazenave, A., Meyssignac, B., and Ablain, M.: New estimate of
the current rate of sea level rise from a sea level budget approach,
Geophys. Res. Lett., 44, 8, 3744–3751, https://doi.org/10.1002/2017GL073308, 2017.
Döll, P. and Lehner, B.: Validation of a new global 30-min drainage
direction map, J. Hydrol., 258, 1–4, 214–231, https://doi.org/10.1016/S0022-1694(01)00565-0, 2002.
Döll, P., Kaspar, F., and Lehner, B.: A global hydrological model for
deriving water availability indicators: model tuning and validation, J. Hydrol., 270, 1–2, 105–134, https://doi.org/10.1016/S0022-1694(02)00283-4, 2003.
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.
Döll, P., Hoffmann-Dobrev, H., Portmann, F. T., Siebert, S., Eicker, A.,
Rodell, M., Strassberg, G., and Scanlon, B. R.: Impact of water withdrawals
from groundwater and surface water on continental water storage variations,
J. Geodyn., 59-60, 143–156, https://doi.org/10.1016/j.jog.2011.05.001,
2012.
Döll, P., Müller Schmied, H., Schuh, C., Portmann, F. T., and
Eicker, A.: Global-scale assessment of groundwater depletion and related
groundwater abstractions: Combining hydrological modeling with information
from well observations and GRACE satellites, Water Resour. Res., 50, 7,
5698–5720, https://doi.org/10.1002/2014WR015595, 2014.
Döll, P., Douville, H., Güntner, A., Müller Schmied, H., and
Wada, Y.: Modelling freshwater resources at the global scale: challenges and
prospects, Surv. Geophys., 37, 195–221, https://doi.org/10.1007/s10712-015-9343-1, 2016.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30, 14, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Gutknecht, B. D., Groh, A., Cáceres, D., and Horwath, M.: Assessing Global Ocean and Continental Mass Change from 17 years of GRACE/-FO: the role of coastal buffer zones, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18038, https://doi.org/10.5194/egusphere-egu2020-18038, 2020.
Hanasaki, N., Kanae, S., and Oki, T.: A reservoir operation scheme for
global river routing models, J. Hydrol., 327, 1–2, 22–41,
https://doi.org/10.1016/j.jhydrol.2005.11.011, 2006.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
Dataset, Int. J. Climatol., 34, 3, 623–642, https://doi.org/10.1002/joc.3711, 2014.
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., and Piontek, F.: A trend-preserving bias correction – the ISI-MIP approach, Earth Syst. Dynam., 4, 219–236, https://doi.org/10.5194/esd-4-219-2013, 2013.
Hirabayashi, Y., Döll, P., and Kanae, S.: Global-scale modeling of
glacier mass balances for water resources assessments: Glacier mass changes
between 1948 and 2006, J. Hydrol., 390, 3–4, 245–256,
https://doi.org/10.1016/j.jhydrol.2010.07.001, 2010.
Hirabayashi, Y., Zang, Y., Watanabe, S., Koirala, S., and Kanae, S.:
Projection of glacier mass changes under a high-emission climate scenario
using the global glacier model HYOGA2, Hydrol. Res. Lett., 7, 1,
6–11, https://doi.org/10.3178/hrl.7.6, 2013.
Hock, R., Bliss, A., Marzeion, B., Giesen, R. H., Hirabayashi, Y., Huss, M.,
Radić, V., and Slangen, A. B. A.: GlacierMIP – A model intercomparison
of global-scale glacier mass-balance models and projections, J. Glaciol.,
65, 251, 453–467, https://doi.org/10.1017/jog.2019.22, 2019.
Humphrey, V., Gudmundsson, L., and Seneviratne, S. I.: Assessing global
water storage variability from GRACE: trends, seasonal cycle, subseasonal
anomalies and extremes, Surv. Geophys., 37, 357–395,
https://doi.org/10.1007/s10712-016-9367-1, 2016.
Huss, M. and Hock, R.: A new model for global glacier change and sea-level
rise, Front. Earth Sci., 3, 382, 00054, https://doi.org/10.3389/feart.2015.00054, 2015.
Kauffeldt, A., Halldin, S., Rodhe, A., Xu, C.-Y., and Westerberg, I. K.: Disinformative data in large-scale hydrological modelling, Hydrol. Earth Syst. Sci., 17, 2845–2857, https://doi.org/10.5194/hess-17-2845-2013, 2013.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi,
K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.:
The JRA-55 reanalysis: general specifications and basic characteristics,
J. Meteorol. Soc. Jpn, 93, 1, 5–48,
https://doi.org/10.2151/jmsj.2015-001, 2015.
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. C., 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, 9, 494–502, https://doi.org/10.1890/100125, 2011.
Llovel, W., Becker, M., Cazenave, A., Jevrejeva, S., Alkama, R., Decharme,
B., Douville, H., Ablain, M., and Beckley, B.: Terrestrial waters and sea
level variations on interannual time scale, Global Planet. Change, 75, 1–2, 76–82, https://doi.org/10.1016/j.gloplacha.2010.10.008, 2011.
Marzeion, B., Jarosch, A. H., and Hofer, M.: Past and future sea-level change from the surface mass balance of glaciers, The Cryosphere, 6, 1295–1322, https://doi.org/10.5194/tc-6-1295-2012, 2012.
Marzeion, B., Leclercq, P. W., Cogley, J. G., and Jarosch, A. H.: Brief Communication: Global reconstructions of glacier mass change during the 20th century are consistent, The Cryosphere, 9, 2399–2404, https://doi.org/10.5194/tc-9-2399-2015, 2015.
Mayer-Gürr, T., Behzadpur, S., Ellmer, M., Kvas, A., Klinger, B.,
Strasser, S., and Zehentner, N.: ITSG-Grace2018 – Monthly, daily and static
gravity field solutions from GRACE, https://doi.org/10.5880/ICGEM.2018.003, 2018.
Milly, P. C. D., Cazenave, A., Famiglietti, J. S., Gornitz, V., Laval,
K., Lettenmaier, D. P., Sahagian, D. L., Wahr, J. M., and Wilson, C. R.:
Terrestrial water-storage contributions to sea-level rise and variability,
in: Understanding sea-level rise and variability, edited by: Church, J. A., Woodworth, P. L., Aarup, T., and Wilson, W. S., John Wiley & Sons, Chichester, 226–255, https://doi.org/10.1002/9781444323276.ch8, 2010.
Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511–3538, https://doi.org/10.5194/hess-18-3511-2014, 2014.
Müller Schmied, H., Adam, L., Eisner, S., Fink, G., Flörke, M., Kim, H., Oki, T., Portmann, F. T., Reinecke, R., Riedel, C., Song, Q., Zhang, J., and Döll, P.: Variations of global and continental water balance components as impacted by climate forcing uncertainty and human water use, Hydrol. Earth Syst. Sci., 20, 2877–2898, https://doi.org/10.5194/hess-20-2877-2016, 2016.
Munier, S., Palanisamy, H., Maisongrande, P., Cazenave, A., and Wood, E. F.: Global runoff anomalies over 1993–2009 estimated from coupled Land–Ocean–Atmosphere water budgets and its relation with climate variability, Hydrol. Earth Syst. Sci., 16, 3647–3658, https://doi.org/10.5194/hess-16-3647-2012, 2012.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10, 3, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
New, M., Lister, D., Hulme, M., and Makin, I.: A high-resolution data set of
surface climate over global land areas, Clim. Res., 21, 1, 1–25,
https://doi.org/10.3354/cr021001, 2002.
NOAA Physical Sciences Laboratory: Multivariate ENSO Index Version 2 (MEI.v2), available at: https://www.esrl.noaa.gov/psd/enso/mei/data/meiv2.data, last access: 10 July 2019.
Oppenheimer, M., Glavovic, B. C., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level
rise and implications for low lying islands, coasts and communities, in: IPCC Special Report on the Ocean and Cryosphere in a Changing
Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., 169 pp., 2019.
Pfeffer, W. T., Arendt, A. A., Bliss, A., Bolch, T., Cogley, J. G., Gardner,
A. S., Hagen, J.-O., Hock, R., Kaser, G., Kienholz, C., Miles, E. S.,
Moholdt, G., Mölg, N., Paul, F., Radić, V., Rastner, P., Raup, B.
H., Rich, J., and Sharp, M. J.: The Randolph Glacier Inventory: a globally
complete inventory of glaciers, J. Glaciol., 60, 221, 537–552,
https://doi.org/10.3189/2014JoG13J176, 2014.
Poli, P., Hersbach, H., Dee, D. P., Berrisford, P., Simmons, A. J., Vitart,
F., Laloyaux, P., Tan, D. G. H., Peubey, C., Thépaut, J.-N.,
Trémolet, Y., Hólm, E. V., Bonavita, M., Isaksen, L., and Fisher,
M.: ERA-20C: An atmospheric reanalysis of the twentieth century, J. Climate,
29, 11, 4083–4097, https://doi.org/10.1175/JCLI-D-15-0556.1, 2016.
Reager, J. T., Gardner, A. S., Famiglietti, J. S., Wiese, D. N., Eicker, A.,
and Lo, M.-H.: A decade of sea level rise slowed by climate-driven
hydrology, Science, 351, 6274, 699–703,
https://doi.org/10.1126/science.aad8386, 2016.
Rietbroek, R., Brunnabend, S.-E., Kusche, J., Schröter, J., and Dahle,
C.: Revisiting the contemporary sea-level budget on global and regional
scales, P. Natl. Acad. Sci. U.S.A., 113, 6, 1504–1509, https://doi.org/10.1073/pnas.1519132113, 2016.
Rost, S., Gerten, D., Bondeau, A., Lucht, W., Rohwer, J., and Schaphoff, S.:
Agricultural green and blue water consumption and its influence on the
global water system, Water Resour. Res., 44, 9, https://doi.org/10.1029/2007WR006331, 2008.
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, 6, 2185–2208, https://doi.org/10.1175/JCLI-D-12-00823.1, 2014.
Scanlon, B. R., Zhang, Z., Save, H., Sun, A. Y., Müller Schmied, H., van
Beek, L. P. H., Wiese, D. N., Wada, Y., Di Long, Reedy, R. C., Longuevergne,
L., Döll, P., and Bierkens, M. F. P.: Global models underestimate large
decadal declining and rising water storage trends relative to GRACE
satellite data, P. Natl. Acad. Sci. U.S.A., 115, 6, E1080–E1089, https://doi.org/10.1073/pnas.1704665115, 2018.
Scanlon, B. R., Zhang, Z., Rateb, A., Sun, A., Wiese, D., Save, H.,
Beaudoing, H., Lo, M. H., Müller Schmied, H., Döll, P., Beek, R.,
Swenson, S., Lawrence, D., Croteau, M., and Reedy, R. C.: Tracking seasonal
fluctuations in land water storage using global models and GRACE satellites,
Geophys. Res. Lett., 46, 10, 5254–5264, https://doi.org/10.1029/2018GL081836, 2019.
Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Ziese, M., and
Rudolf, B.: GPCC's new land surface precipitation climatology based on
quality-controlled in situ data and its role in quantifying the global water
cycle, Theor. Appl. Climatol., 115, 15–40, https://doi.org/10.1007/s00704-013-0860-x,
2014.
Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Rudolf, B.,
and Ziese, M.: GPCC full data reanalysis version 7.0 at 0.5∘:
monthly land-surface precipitation from rain-gauges built on GTS-based and
historic data, Global Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/, last access: 15 March 2017) at Deutscher Wetterdienst, Offenbach/Main, Germany, https://doi.org/10.5676/dwd_gpcc/fd_m_v7_050, 2015.
Schrama, E. J. O., Wouters, B., and Rietbroek, R.: A mascon approach to
assess ice sheet and glacier mass balances and their uncertainties from
GRACE data, J. Geophys. Res.-Sol. Ea., 119, 7, 6048–6066,
https://doi.org/10.1002/2013JB010923, 2014.
Siebert, S., Burke, J., Faures, J. M., Frenken, K., Hoogeveen, J., Döll, P., and Portmann, F. T.: Groundwater use for irrigation – a global inventory, Hydrol. Earth Syst. Sci., 14, 1863–1880, https://doi.org/10.5194/hess-14-1863-2010, 2010.
Slangen, A. B. A., Church, J. A., Agosta, C., Fettweis, X., Marzeion, B.,
and Richter, K.: Anthropogenic forcing dominates global mean sea-level rise
since 1970, Nat. Clim. Change, 6, 701–705, https://doi.org/10.1038/nclimate2991, 2016.
Slangen, A. B. A., Adloff, F., Jevrejeva, S., Leclercq, P. W., Marzeion, B.,
Wada, Y., and Winkelmann, R.: A review of recent updates of sea-level
projections at global and regional scales, Surv. Geophys., 38, 385–406,
https://doi.org/10.1007/s10712-016-9374-2, 2017.
Swenson, S., Chambers, D., and Wahr, J.: Estimating geocenter variations
from a combination of GRACE and ocean model output, J. Geophys. Res.-Sol.
Ea., 113, B08410, https://doi.org/10.1029/2007JB005338, 2008.
van Dijk, A. I. J. M., Renzullo, L. J., Wada, Y., and Tregoning, P.: A global water cycle reanalysis (2003–2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble, Hydrol. Earth Syst. Sci., 18, 2955–2973, https://doi.org/10.5194/hess-18-2955-2014, 2014.
Wada, Y., Lo, M.-H., Yeh, P. J.-F., Reager, J. T., Famiglietti, J. S., Wu,
R.-J., and Tseng, Y.-H.: Fate of water pumped from underground and
contributions to sea-level rise, Nat. Clim. Change, 6, 777–780,
https://doi.org/10.1038/nclimate3001, 2016.
Wada, Y., Reager, J. T., Chao, B. F., Wang, J., Lo, M.-H., Song, C., Li, Y.,
and Gardner, A. S.: Recent changes in land water storage and its
contribution to sea level variations, Surv. Geophys., 38, 131–152,
https://doi.org/10.1007/s10712-016-9399-6, 2017.
Wang, J., Song, C., Reager, J. T., Yao, F., Famiglietti, J. S., Sheng, Y.,
MacDonald, G. M., Brun, F., Schmied, H. M., Marston, R. A., and Wada, Y.:
Recent global decline in endorheic basin water storages, Nat. Geosci.,
11, 926–932, https://doi.org/10.1038/s41561-018-0265-7, 2018.
WCRP Global Sea Level Budget Group: Global sea-level budget 1993–present, Earth Syst. Sci. Data, 10, 1551–1590, https://doi.org/10.5194/essd-10-1551-2018, 2018.
Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. 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.
Hydrometeor., 12, 5, 823–848, https://doi.org/10.1175/2011JHM1369.1, 2011.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data
methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50, 9, 7505–7514, https://doi.org/10.1002/2014wr015638, 2014.
Wolter, K. and Timlin, M. S.: Monitoring ENSO in COADS with a seasonally
adjusted principal component index, Proceedings of the 17th Climate
Diagnostics Workshop, NOAA/NMC/CAC, NSSL, Oklahoma Climate Survey, CIMMS and the School of Meteorology, University of Oklahoma, Norman, OK, 52–57, https://www.psl.noaa.gov/enso/mei.old/WT1.pdf (last access: 10 July 2019), 1993.
Wolter, K. and Timlin, M. S.: Measuring the strength of ENSO events: How
does 1997/98 rank?, Weather, 53, 9, 315–324,
https://doi.org/10.1002/j.1477-8696.1998.tb06408.x, 1998.
World Glacier Monitoring Service: Fluctuations of Glaciers Database, Zurich, Switzerland, https://doi.org/10.5904/wgms-fog-2016-08, 2016.
World Glacier Monitoring Service: Fluctuations of Glaciers Database, Zurich, Switzerland, https://doi.org/10.5904/wgms-fog-2017-10, 2017.
World Glacier Monitoring Service: World glacier monitoring service under the auspices of: ISC (WDS), IUGG (IACS), UN environment, UNESCO, WMO, available at: https://wgms.ch/products_ref_glaciers/, last access: 18 April 2018.
Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J.,
Barandun, M., Machguth, H., Nussbaumer, S. U., Gärtner-Roer, I.,
Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J. G.: Global
glacier mass changes and their contributions to sea-level rise from 1961 to
2016, Nature, 568, 382–386, https://doi.org/10.1038/s41586-019-1071-0, 2019.
Short summary
We analysed how and to which extent changes in water storage on continents had an effect on global ocean mass over the period 1948–2016. Continents lost water to oceans at an accelerated rate, inducing sea level rise. Shrinking glaciers explain 81 % of the long-term continental water mass loss, while declining groundwater levels, mainly due to sustained groundwater pumping for irrigation, is the second major driver. This long-term decline was partly offset by the impoundment of water in dams.
We analysed how and to which extent changes in water storage on continents had an effect on...