|Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources|
W Kurtz, A Lapin, OS Schilling, Q Tang, EJ Schiller, T Braun, D Hunkeler, ...
Environmental modelling & software 93, 418-435, 2017
|The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes|
Q Tang, W Kurtz, OS Schilling, P Brunner, H Vereecken, HJH Franssen
Journal of Hydrology 554, 383-396, 2017
|Characterisation of river–aquifer exchange fluxes: The role of spatial patterns of riverbed hydraulic conductivities|
Q Tang, W Kurtz, P Brunner, H Vereecken, HJH Franssen
Journal of Hydrology 531, 111-123, 2015
|Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter|
Q Tang, OS Schilling, W Kurtz, P Brunner, H Vereecken, ...
Water Resources Research 54 (11), 9342-9363, 2018
|Bayesian networks precipitation model based on hidden Markov analysis and its application|
HR Wang, LT Ye, XY Xu, QL Feng, Y Jiang, Q Liu, Q Tang
Science China Technological Sciences 53 (2), 539-547, 2010
|Improving the ocean and atmosphere in a coupled ocean‐atmosphere model by assimilating satellite sea surface temperature and subsurface profile data|
Q Tang, L Mu, D Sidorenko, H Goessling, T Semmler, L Nerger
Quarterly Journal of the Royal Meteorological Society, 0
|Is it important to characterize complex patterns of riverbed hydraulic conductivities for assessing river-aquifer exchange fluxes? An evaluation with an integrated fully …|
Q Tang, W Kurtz, O Schilling, P Brunner, H Vereecken, ...
EGUGA, EPSC2016-8550, 2016