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Refinado por: assunto: Geosciences, Multidisciplinary remover
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1
Modelling groundwater over-extraction in the southern Jordan Valley with scarce data
Modelling groundwater over-extraction in the southern Jordan Valley with scarce data
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Modelling groundwater over-extraction in the southern Jordan Valley with scarce data

Alfaro, Paulina ; Liesch, Tanja ; Goldscheider, Nico

Hydrogeology journal, 2017-08, Vol.25 (5), p.1319-1340 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
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When best is the enemy of good – critical evaluation of performance criteria in hydrological models

Cinkus, Guillaume ; Mazzilli, Naomi ; Jourde, Hervé ; Wunsch, Andreas ; Liesch, Tanja ; Ravbar, NataÅ¡a ; Chen, Zhao ; Goldscheider, Nico

Hydrology and earth system sciences, 2023-07, Vol.27 (13), p.2397-2411 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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3
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
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Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions

Cinkus, Guillaume ; Wunsch, Andreas ; Mazzilli, Naomi ; Liesch, Tanja ; Chen, Zhao ; Ravbar, NataÅ¡a ; Doummar, Joanna ; Fernández-Ortega, Jaime ; Barberá, Juan Antonio ; Andreo, Bartolomé ; Goldscheider, Nico ; Jourde, Hervé

Hydrology and earth system sciences, 2023-05, Vol.27 (10), p.1961-1985 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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4
On the challenges of global entity-aware deep learning models for groundwater level prediction
On the challenges of global entity-aware deep learning models for groundwater level prediction
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On the challenges of global entity-aware deep learning models for groundwater level prediction

Heudorfer, Benedikt ; Liesch, Tanja ; Broda, Stefan

Hydrology and earth system sciences, 2024-02, Vol.28 (3), p.525-543 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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5
Karst modelling challenge 1: Results of hydrological modelling
Karst modelling challenge 1: Results of hydrological modelling
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Karst modelling challenge 1: Results of hydrological modelling

Jeannin, Pierre-Yves ; Artigue, Guillaume ; Butscher, Christoph ; Chang, Yong ; Charlier, Jean-Baptiste ; Duran, Lea ; Gill, Laurence ; Hartmann, Andreas ; Johannet, Anne ; Jourde, Hervé ; Kavousi, Alireza ; Liesch, Tanja ; Liu, Yan ; Lüthi, Martin ; Malard, Arnauld ; Mazzilli, Naomi ; Pardo-Igúzquiza, Eulogio ; Thiéry, Dominique ; Reimann, Thomas ; Schuler, Philip ; Wöhling, Thomas ; Wunsch, Andreas

Journal of hydrology (Amsterdam), 2021-09, Vol.600, p.126508, Article 126508 [Periódico revisado por pares]

Elsevier B.V

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6
Comparison of GRACE data and groundwater levels for the assessment of groundwater depletion in Jordan
Comparison of GRACE data and groundwater levels for the assessment of groundwater depletion in Jordan
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Comparison of GRACE data and groundwater levels for the assessment of groundwater depletion in Jordan

Liesch, Tanja ; Ohmer, Marc

Hydrogeology journal, 2016-09, Vol.24 (6), p.1547-1563 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Aquifer responses to long-term climatic periodicities
Aquifer responses to long-term climatic periodicities
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Aquifer responses to long-term climatic periodicities

Liesch, Tanja ; Wunsch, Andreas

Journal of hydrology (Amsterdam), 2019-05, Vol.572, p.226-242 [Periódico revisado por pares]

Elsevier B.V

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8
Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation
Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation
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Correlating Global Precipitation Measurement satellite data with karst spring hydrographs for rapid catchment delineation

Longenecker, Jake ; Bechtel, Timothy ; Chen, Zhao ; Goldscheider, Nico ; Liesch, Tanja ; Walter, Robert

Geophysical research letters, 2017-05, Vol.44 (10), p.4926-4932 [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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9
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
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Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods

Ohmer, Marc ; Liesch, Tanja ; Wunsch, Andreas

Hydrology and earth system sciences, 2022-08, Vol.26 (15), p.4033-4053 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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10
Open-loop geothermal heating by combined extraction–injection one-well systems: A feasibility study
Open-loop geothermal heating by combined extraction–injection one-well systems: A feasibility study
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Open-loop geothermal heating by combined extraction–injection one-well systems: A feasibility study

Rode, Alexander ; Liesch, Tanja ; Goldscheider, Nico

Geothermics, 2015-07, Vol.56, p.110-118 [Periódico revisado por pares]

Elsevier Ltd

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