Meteolakes: An operational online three-dimensional forecasting platform for lake hydrodynamics T Baracchini, A Wüest, D Bouffard Water Research 172, 115529, 2020 | 47 | 2020 |
Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4. 03 and OpenDA v2. 4 T Baracchini, PY Chu, J Šukys, G Lieberherr, S Wunderle, A Wüest, ... Geoscientific Model Development 13 (3), 1267-1284, 2020 | 42 | 2020 |
Resolving biogeochemical processes in lakes using remote sensing V Nouchi, T Kutser, A Wüest, B Müller, D Odermatt, T Baracchini, ... Aquatic Sciences 81, 1-13, 2019 | 31 | 2019 |
Integrating inland and coastal water quality data for actionable knowledge GYH El Serafy, BA Schaeffer, MB Neely, A Spinosa, D Odermatt, ... Remote Sensing 13 (15), 2899, 2021 | 30 | 2021 |
Seasonality in cholera dynamics: A rainfall-driven model explains the wide range of patterns in endemic areas T Baracchini, AA King, MJ Bouma, X Rodó, E Bertuzzo, M Pascual Advances in water resources 108, 357-366, 2017 | 30 | 2017 |
An automated calibration framework and open source tools for 3D lake hydrodynamic models T Baracchini, S Hummel, M Verlaan, A Cimatoribus, A Wüest, D Bouffard Environmental Modelling & Software 134, 104787, 2020 | 25 | 2020 |
Data assimilation of in-situ and satellite remote sensing data to 3d hydrodynamic lake models T Baracchini, PY Chu, J Šukys, G Lieberherr, S Wunderle, A Wüest, ... Geosci. Model Dev. Discuss 10, 2019 | 7 | 2019 |
Low-cost wireless sensor networks for dryland irrigation agriculture in Burkina Faso C Ranquet Bouleau, T Baracchini, G Barrenetxea, A Repetti, JC Bolay Technologies for Development: What is Essential?, 19-31, 2015 | 5 | 2015 |
Le Lac de Zurich en Ligne-Prévisions hydrodynamiques 3D en temps-réel sur meteolakes. ch. Aqua & Gas-Fachzeitschrift für Gas, Wasser und Abwasser T Baracchini, K Bärenzung, D Bouffard, AJ Wüest Aqua & Gas 12, 24-29, 2019 | 4 | 2019 |
From observations to 3D forecasts: Data assimilation for high resolution lakes monitoring T Baracchini EPFL, 2019 | 4 | 2019 |
Seasonality in cholera dynamics: a rainfall-driven model explains the wide range of patterns of an infectious disease in endemic areas T Baracchini | 3 | 2014 |
Integrating Information Sources for Inland Waters-A New Global Framework for Lakes Modelling and Monitoring T Baracchini Delft Software Days 2016, 2016 | 2 | 2016 |
Lateral variability of mixing in Lake Geneva O Sepúlveda Steiner, A Forrest, J McInerney, T Baracchini, S Lavanchy, ... EGU General Assembly Conference Abstracts, 15064, 2019 | | 2019 |
High-resolution scanning of the optical water column properties of a large lake: interplay between biological and physical processes. C Minaudo, HN Ulloa, HE Chmiel, D Bouffard, T Baracchini, D Odermatt, ... Geophysical Research Abstracts 21, 2019 | | 2019 |
Lateral variability of mixing in Lake Geneva. OS Steiner, A Forrest, J McInerney, T Baracchini, S Lavanchy, D Bouffard, ... Geophysical Research Abstracts 21, 2019 | | 2019 |
Coupling In-situ and Remote Sensing Data with Three Dimensional Hydrodynamic Models T Baracchini, D Odermatt, M Verlaan, S Wunderle, G Lieberherr, ... IAGLR 2017, 2017 | | 2017 |
Coupling Inland Water Remote Sensing, In situ Data and Models D Odermatt, D Bouffard, T Baracchini, A Wüest Colour and Light in the Ocean from Earth Observation (CLEO) Workshop 2016, 2016 | | 2016 |
Fostering low-cost soil moisture monitoring techniques to improve irrigation efficiency in Burkina Faso C Bouleau, T Baracchini, P Razurel, L Gorla, JC Bolay, P Perona EGU General Assembly Conference Abstracts, 12360, 2015 | | 2015 |