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Claire Brenner
Claire Brenner
PhD cand. at Institute of Hydrology and Water Management, University of Natural Resources and Life Sciences
Bestätigte E-Mail-Adresse bei boku.ac.at
Titel
Zitiert von
Zitiert von
Jahr
Rainfall–runoff modelling using long short-term memory (LSTM) networks
F Kratzert, D Klotz, C Brenner, K Schulz, M Herrnegger
Hydrology and Earth System Sciences 22 (11), 6005-6022, 2018
10252018
Estimating spatially distributed turbulent heat fluxes from high-resolution thermal imagery acquired with a UAV system
C Brenner, CE Thiem, HD Wizemann, M Bernhardt, K Schulz
International Journal of Remote Sensing 38 (8-10), 3003-3026, 2017
642017
Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems
C Brenner, M Zeeman, M Bernhardt, K Schulz
International Journal of Remote Sensing 39 (15-16), 5141-5174, 2018
492018
Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg
M Renner, C Brenner, K Mallick, HD Wizemann, L Conte, I Trebs, J Wei, ...
Hydrology and Earth System Sciences 23 (1), 515-535, 2019
282019
Towards periodic and time-referenced flood risk assessment using airborne remote sensing
C Brenner, C Meisch, B Apperl, K Schulz
Journal of Hydrology and Hydromechanics 64 (4), 438-447, 2016
92016
Monitoring of surface run-off and soil erosion processes
A Klik, S Strohmeier, C Schuerz, C Brenner, I Zehetbauer, ...
Mitigating Land Degradation and Improving Livelihoods, 127-152, 2015
82015
Soil conservation measures in the Ethiopian Highlands: The effectiveness of stone bunds on soil erosion processes
C Brenner, S Strohmeier, F Ziadat, A Klik
EGU General Assembly Conference Abstracts, EGU2013-5392, 2013
72013
Integration von Orthofotos in die Abschätzung des Hochwasserschadenspotenzials
C Brenner, B Apperl, K Schulz
Österreichische Wasser-und Abfallwirtschaft 11 (67), 412-421, 2015
22015
Understanding model biases in the diurnal cycle of evapotranspiration: a case study in Luxembourg
M Renner
Deutsche Nationalbibliothek, 0
2
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
G Abramowitz, A Ukkola, S Hobeichi, J Cranko Page, M Lipson, ...
EGUsphere 2024, 1-47, 2024
12024
Monitoring and simulation of soil erosion in the Ethiopian Highlands on a plot scale
C Brenner
Universitaet für Bodenkultur Wien, Center for Development Research (BOKU/CDR), 2013
12013
Schätzung der Verdunstung mithilfe von Machine-und Deep Learning-Methoden
C Brenner, J Frame, G Nearing, K Schulz
Österreichische Wasser-und Abfallwirtschaft 73 (7), 295-307, 2021
2021
Predicting energy and carbon fluxes using LSTM networks
C Brenner, J Frame, G Nearing, K Schulz
EGU General Assembly Conference Abstracts, EGU21-14781, 2021
2021
Predicting evapotranspiration using machine and deep learning methods
C Brenner, J Frame, G Nearing, K Schulz
2021
Understanding the diurnal variation in evaporation using pattern-based evaluation of evaporation schemes: a case study in Luxembourg
M Renner, C Brenner, K Mallick, HD Wizemann, I Trebs, J Wei, ...
EGU General Assembly Conference Abstracts, 13606, 2018
2018
Multi-Scale Observation and Modelling of Energy and Matter Exchange in the Atmospheric Boundary-Layer (ScaleX Campaigns)
K Wolz, B Adler, C Brenner, F De Roo, S Emeis, N Kalthoff, M Mauder, ...
2016 AGU Fall Meeting, 2016
2016
Multi-Scale Observation and Modelling of Energy and Matter Exchange in the Atmospheric Boundary-Layer (ScaleX Campaigns)
MJ Zeeman, K Wolz, B Adler, C Brenner, F De Roo, S Emeis, N Kalthoff, ...
AGU Fall Meeting Abstracts 2016, H32B-06, 2016
2016
Estimation of spatially distributed turbulent heat fluxes using thermal information captured from an UAS
C Brenner, CE Thiem, M Bernhardt, K Schulz
EGU General Assembly Conference Abstracts, EPSC2016-5987, 2016
2016
Integrating orthophotos into the assessment of flood damage potential
C Brenner, B Apperl, K Schulz
Österreichische Wasser-und Abfallwirtschaft 67, 412-421, 2015
2015
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