Articles | Volume 18, issue 7
https://doi.org/10.5194/hess-18-2773-2014
© Author(s) 2014. 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-18-2773-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Jul 2014
Research article |
| 31 Jul 2014
How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions
U. Mallast
Helmholtz Centre for Environmental Research, Department Groundwater Remediation, 06120 Halle, Germany
R. Gloaguen
Helmholtz Institute Freiberg of Resource Technology, Remote Sensing Group, 09599 Freiberg, Germany
J. Friesen
Helmholtz Centre for Environmental Research, Department Computational Hydrosystems, 04318 Leipzig, Germany
T. Rödiger
Helmholtz Centre for Environmental Research, Department Catchment Hydrology, 06120 Halle, Germany
Helmholtz Centre for Environmental Research, Department Catchment Hydrology, 06120 Halle, Germany
Helmholtz Centre for Environmental Research, Department Catchment Hydrology, 06120 Halle, Germany
C. Siebert
Helmholtz Centre for Environmental Research, Department Catchment Hydrology, 06120 Halle, Germany
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Till Oehler, Elisabeth Eiche, Doni Putra, Dini Adyasari, Hanna Hennig, Ulf Mallast, and Nils Moosdorf
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-621, https://doi.org/10.5194/hess-2017-621, 2017
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M. C. Fuchs, R. Gloaguen, S. Merchel, E. Pohl, V. A. Sulaymonova, C. Andermann, and G. Rugel
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This implies that expected Earth surface processes along precipitation and altitude gradients differ substantially.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
A. A. Othman, R. Gloaguen, L. Andreani, and M. Rahnama
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-3-1789-2015, https://doi.org/10.5194/nhessd-3-1789-2015, 2015
Preprint withdrawn
J. Hall, B. Arheimer, M. Borga, R. Brázdil, P. Claps, A. Kiss, T. R. Kjeldsen, J. Kriaučiūnienė, Z. W. Kundzewicz, M. Lang, M. C. Llasat, N. Macdonald, N. McIntyre, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, C. Neuhold, J. Parajka, R. A. P. Perdigão, L. Plavcová, M. Rogger, J. L. Salinas, E. Sauquet, C. Schär, J. Szolgay, A. Viglione, and G. Blöschl
Hydrol. Earth Syst. Sci., 18, 2735–2772, https://doi.org/10.5194/hess-18-2735-2014, https://doi.org/10.5194/hess-18-2735-2014, 2014
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Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
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Subject: Groundwater hydrology | Techniques and Approaches: Remote Sensing and GIS
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This study assesses the detailed water budget of the Saq–Ram Aquifer System using satellite gravity data. Spatial heterogeneities regarding the groundwater recharge were identified: (i) irrigation excess is great enough to artificially recharge the aquifer; and (ii) volcanic lava deposits, which cover 8% of the domain, contribute to more than 50% of the total natural recharge. This indicates a major control of geological context on arid aquifer recharge, which has been poorly discussed hitherto.
Claire Pascal, Sylvain Ferrant, Adrien Selles, Jean-Christophe Maréchal, Abhilash Paswan, and Olivier Merlin
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This paper presents a new validation method for the downscaling of GRACE (Gravity Recovery and Climate Experiment) data. It measures the improvement of the downscaled data against the low-resolution data in both temporal and, for the first time, spatial domains. This validation method offers a standardized and comprehensive framework to interpret spatially and temporally the quality of the downscaled products, supporting future efforts in GRACE downscaling methods.
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Many communities in the Sahel rely solely on groundwater. We develop a machine learning technique to map areas of groundwater potential. Algorithms are trained to detect areas where there is a confluence of factors that facilitate groundwater occurrence. Our contribution focuses on using variable scaling to minimize expert bias and on testing our results beyond standard metrics. This approach is illustrated through its application to two administrative regions of Mali.
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Simone Gelsinari, Valentijn R. N. Pauwels, Edoardo Daly, Jos van Dam, Remko Uijlenhoet, Nicholas Fewster-Young, and Rebecca Doble
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Hydrol. Earth Syst. Sci., 23, 4835–4849, https://doi.org/10.5194/hess-23-4835-2019, https://doi.org/10.5194/hess-23-4835-2019, 2019
Soumendra N. Bhanja, Xiaokun Zhang, and Junye Wang
Hydrol. Earth Syst. Sci., 22, 6241–6255, https://doi.org/10.5194/hess-22-6241-2018, https://doi.org/10.5194/hess-22-6241-2018, 2018
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The paper presents groundwater storage conditions in all the major river basins across Alberta, Canada. We used remote-sensing data and investigate their performance using available ground-based data of groundwater level monitoring, storage coefficients, aquifer thickness, and surface water measurements. The water available for groundwater recharge has been studied in detail. Separate approaches have been followed for confined and unconfined aquifers for estimating groundwater storage.
Mohammad Shamsudduha, Richard G. Taylor, Darren Jones, Laurent Longuevergne, Michael Owor, and Callist Tindimugaya
Hydrol. Earth Syst. Sci., 21, 4533–4549, https://doi.org/10.5194/hess-21-4533-2017, https://doi.org/10.5194/hess-21-4533-2017, 2017
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This study tests the phase and amplitude of GRACE TWS signals in the Upper Nile Basin from five commonly used gridded products (NASA's GRCTellus: CSR, JPL, GFZ; JPL-Mascons; GRGS) using in situ data and soil moisture from the Global Land Data Assimilation System. Resolution of changes in groundwater storage (ΔGWS) from GRACE is greatly constrained by the uncertain simulated soil moisture storage and the low amplitude in ΔGWS observed in deeply weathered crystalline rocks in the Upper Nile Basin.
Y. Altchenko and K. G. Villholth
Hydrol. Earth Syst. Sci., 19, 1055–1067, https://doi.org/10.5194/hess-19-1055-2015, https://doi.org/10.5194/hess-19-1055-2015, 2015
P. Gbolo and P. Gerla
Hydrol. Earth Syst. Sci., 17, 4897–4906, https://doi.org/10.5194/hess-17-4897-2013, https://doi.org/10.5194/hess-17-4897-2013, 2013
A. Pryet, N. d'Ozouville, S. Violette, B. Deffontaines, and E. Auken
Hydrol. Earth Syst. Sci., 16, 4571–4579, https://doi.org/10.5194/hess-16-4571-2012, https://doi.org/10.5194/hess-16-4571-2012, 2012
F. Alkhaier, G. N. Flerchinger, and Z. Su
Hydrol. Earth Syst. Sci., 16, 1817–1831, https://doi.org/10.5194/hess-16-1817-2012, https://doi.org/10.5194/hess-16-1817-2012, 2012
F. Alkhaier, Z. Su, and G. N. Flerchinger
Hydrol. Earth Syst. Sci., 16, 1833–1844, https://doi.org/10.5194/hess-16-1833-2012, https://doi.org/10.5194/hess-16-1833-2012, 2012
U. Mallast, R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert
Hydrol. Earth Syst. Sci., 15, 2665–2678, https://doi.org/10.5194/hess-15-2665-2011, https://doi.org/10.5194/hess-15-2665-2011, 2011
S. Siebert, J. Burke, J. M. Faures, K. Frenken, J. Hoogeveen, P. Döll, and F. T. Portmann
Hydrol. Earth Syst. Sci., 14, 1863–1880, https://doi.org/10.5194/hess-14-1863-2010, https://doi.org/10.5194/hess-14-1863-2010, 2010
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