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Refinado por: Nome da Publicação: Hydrology And Earth System Sciences remover
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1
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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2
Form and function in hillslope hydrology: characterization of subsurface flow based on response observations
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Form and function in hillslope hydrology: characterization of subsurface flow based on response observations

Angermann, Lisa ; Jackisch, Conrad ; Allroggen, Niklas ; Sprenger, Matthias ; Zehe, Erwin ; Tronicke, Jens ; Weiler, Markus ; Blume, Theresa

Hydrology and earth system sciences, 2017-07, Vol.21 (7), p.3727-3748 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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3
Explaining the convector effect in canopy turbulence by means of large-eddy simulation
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Explaining the convector effect in canopy turbulence by means of large-eddy simulation

Banerjee, Tirtha ; De Roo, Frederik ; Mauder, Matthias

Hydrology and earth system sciences, 2017-06, Vol.21 (6), p.2987-3000 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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4
Partial energy balance closure of eddy covariance evaporation measurements using concurrent lysimeter observations over grassland
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Partial energy balance closure of eddy covariance evaporation measurements using concurrent lysimeter observations over grassland

Widmoser, Peter ; Michel, Dominik

Hydrology and earth system sciences, 2021-03, Vol.25 (3), p.1151-1163 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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5
Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data
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Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data

Mao, G ; Vogl, S ; Laux, P ; Wagner, S ; Kunstmann, H

Hydrology and earth system sciences, 2015-04, Vol.19 (4), p.1787-1806 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
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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7
Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations
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Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations

Alshawaf, F ; Fersch, B ; Hinz, S ; Kunstmann, H ; Mayer, M ; Meyer, F. J

Hydrology and earth system sciences, 2015-12, Vol.19 (12), p.4747-4764 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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8
Anthropogenic influence on the Rhine water temperatures
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Anthropogenic influence on the Rhine water temperatures

Zavarsky, Alex ; Duester, Lars

Hydrology and earth system sciences, 2020-10, Vol.24 (10), p.5027-5041 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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9
Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin
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Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin

Murawski, Aline ; Bürger, Gerd ; Vorogushyn, Sergiy ; Merz, Bruno

Hydrology and earth system sciences, 2016-10, Vol.20 (10), p.4283-4306 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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10
Estimating spatially distributed soil texture using time series of thermal remote sensing – a case study in central Europe
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Estimating spatially distributed soil texture using time series of thermal remote sensing – a case study in central Europe

Müller, Benjamin ; Bernhardt, Matthias ; Jackisch, Conrad ; Schulz, Karsten

Hydrology and earth system sciences, 2016-09, Vol.20 (9), p.3765-3775 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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