Ghent University Academic Bibliography

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Identification of compound drought and heatwave events on a daily scale and across four seasons

Baoying Shan (UGent) , Niko Verhoest (UGent) and Bernard De Baets (UGent)

(2024) HYDROLOGY AND EARTH SYSTEM SCIENCES. 28(9). p.2065-2080
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On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes

Oscar Baez Villanueva (UGent) , Mauricio Zambrano-Bigiarini, Diego Miralles (UGent) , Hylke E. Beck, Jonatan F. Siegmund, Camila Alvarez-Garreton, Koen Verbist, René Garreaud, Juan Pablo Boisier and Mauricio Galleguillos

(2024) HYDROLOGY AND EARTH SYSTEM SCIENCES. 28(6). p.1415-1439
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Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations

Haiyang Shi, Geping Luo, Olaf Hellwich, Xiufeng He, Alishir Kurban, Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2023) HYDROLOGY AND EARTH SYSTEM SCIENCES. 27(24). p.4551-4562
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Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Thomas Hermans (UGent) , Pascal Goderniaux, Damien Jougnot, Jan H. Fleckenstein, Philip Brunner, Frédéric Nguyen, Niklas Linde, Johan Alexander Huisman, Olivier Bour, Jorge Lopez Alvis, et al.

(2023) HYDROLOGY AND EARTH SYSTEM SCIENCES. 27(1). p.255-287
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Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods : a case study on data from Uccle, Belgium

Jorn Van de Velde, Matthias Demuzere (UGent) , Bernard De Baets (UGent) and Niko Verhoest (UGent)

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(9). p.2319-2344
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High-resolution satellite products improve hydrological modeling in northern Italy

Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains (UGent) , et al.

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(14). p.3921-3939
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Revisiting large-scale interception patterns constrained by a synthesis of global experimental data

Feng Zhong (UGent) , Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens and Diego Miralles (UGent)

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(21). p.5647-5667
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Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning : a meta-analysis

Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie (UGent) , Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang (UGent) , et al.

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(18). p.4603-4618
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Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens (UGent) , Angelica Tarpanelli, Luca Brocca, Luca Zappa and Gabriëlle J. M. De Lannoy

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(18). p.4685-4706
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A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins

Haiyang Shi, Geping Luo, Hongwei Zheng, Chunbo Chen, Olaf Hellwich, Jie Bai, Tie Liu, Shuang Liu, Jie Xue, Peng Cai, et al.

(2021) HYDROLOGY AND EARTH SYSTEM SCIENCES. 25(2). p.901-925

Academic Bibliography

Identification of compound drought and heatwave events on a daily scale and across four seasons

On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes

Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations

Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods : a case study on data from Uccle, Belgium

High-resolution satellite products improve hydrological modeling in northern Italy

Revisiting large-scale interception patterns constrained by a synthesis of global experimental data

Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning : a meta-analysis

Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins

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