Articles | Volume 9, issue 15
https://doi.org/10.5194/acp-9-5575-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-9-5575-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of conventional Lagrangian stochastic footprint models against LES driven footprint estimates
T. Markkanen
current address: Finnish Meteorological Institute, Climate and Global Change Research, P.O. Box 503, 00101 Helsinki, Finland
Department of Micrometeorology, University of Bayreuth, 95440 Bayreuth, Germany
G. Steinfeld
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Hannover, Germany
N. Kljun
Department of Geography, Swansea University, Singleton Park, Swansea, Wales UK
S. Raasch
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Hannover, Germany
T. Foken
Department of Micrometeorology, University of Bayreuth, 95440 Bayreuth, Germany
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Cited
14 citations as recorded by crossref.
- Eddy-covariance flux measurements with a weight-shift microlight aircraft S. Metzger et al. https://doi.org/10.5194/amt-5-1699-2012
- A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP) N. Kljun et al. https://doi.org/10.5194/gmd-8-3695-2015
- Flux Footprints in the Convective Boundary Layer: Large-Eddy Simulation and Lagrangian Stochastic Modelling X. Cai et al. https://doi.org/10.1007/s10546-010-9519-7
- Implementation of a Lagrangian Stochastic Particle Trajectory Model (LaStTraM) to Simulate Concentration and Flux Footprints Using the Microclimate Model ENVI-Met H. Simon et al. https://doi.org/10.3390/atmos12080977
- Footprint-weighted tile approach for a spruce forest and a nearby patchy clearing using the ACASA model K. Gatzsche et al. https://doi.org/10.5194/bg-15-2945-2018
- Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study S. Kumari et al. https://doi.org/10.1029/2020JG005694
- Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study M. Sühring et al. https://doi.org/10.1007/s10546-018-0387-x
- Analysis of flux footprints in fragmented, heterogeneous croplands S. Kumari et al. https://doi.org/10.1007/s00703-023-01004-w
- Methane emissions from a waste treatment site: Numerical analysis of aircraft-based data Y. Cai et al. https://doi.org/10.1016/j.agrformet.2020.108102
- RAMS sensitivity to grid spacing and grid aspect ratio in Large-Eddy Simulations of the dry neutral Atmospheric Boundary Layer G. Ercolani et al. https://doi.org/10.1016/j.compfluid.2017.01.010
- Experimental evaluation of flux footprint models K. Heidbach et al. https://doi.org/10.1016/j.agrformet.2017.06.008
- The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives B. Maronga et al. https://doi.org/10.5194/gmd-8-2515-2015
- Footprint Evaluation for Flux and Concentration Measurements for an Urban-Like Canopy with Coupled Lagrangian Stochastic and Large-Eddy Simulation Models A. Hellsten et al. https://doi.org/10.1007/s10546-015-0062-4
- Source Region of Turbulent Fluxes from a Surface (Footprint): Concept and Estimation Methods A. Sogachev & I. Repina https://doi.org/10.1134/S0001433825701002
14 citations as recorded by crossref.
- Eddy-covariance flux measurements with a weight-shift microlight aircraft S. Metzger et al. https://doi.org/10.5194/amt-5-1699-2012
- A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP) N. Kljun et al. https://doi.org/10.5194/gmd-8-3695-2015
- Flux Footprints in the Convective Boundary Layer: Large-Eddy Simulation and Lagrangian Stochastic Modelling X. Cai et al. https://doi.org/10.1007/s10546-010-9519-7
- Implementation of a Lagrangian Stochastic Particle Trajectory Model (LaStTraM) to Simulate Concentration and Flux Footprints Using the Microclimate Model ENVI-Met H. Simon et al. https://doi.org/10.3390/atmos12080977
- Footprint-weighted tile approach for a spruce forest and a nearby patchy clearing using the ACASA model K. Gatzsche et al. https://doi.org/10.5194/bg-15-2945-2018
- Sensitivity of Analytical Flux Footprint Models in Diverse Source‐Receptor Configurations: A Field Experimental Study S. Kumari et al. https://doi.org/10.1029/2020JG005694
- Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study M. Sühring et al. https://doi.org/10.1007/s10546-018-0387-x
- Analysis of flux footprints in fragmented, heterogeneous croplands S. Kumari et al. https://doi.org/10.1007/s00703-023-01004-w
- Methane emissions from a waste treatment site: Numerical analysis of aircraft-based data Y. Cai et al. https://doi.org/10.1016/j.agrformet.2020.108102
- RAMS sensitivity to grid spacing and grid aspect ratio in Large-Eddy Simulations of the dry neutral Atmospheric Boundary Layer G. Ercolani et al. https://doi.org/10.1016/j.compfluid.2017.01.010
- Experimental evaluation of flux footprint models K. Heidbach et al. https://doi.org/10.1016/j.agrformet.2017.06.008
- The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives B. Maronga et al. https://doi.org/10.5194/gmd-8-2515-2015
- Footprint Evaluation for Flux and Concentration Measurements for an Urban-Like Canopy with Coupled Lagrangian Stochastic and Large-Eddy Simulation Models A. Hellsten et al. https://doi.org/10.1007/s10546-015-0062-4
- Source Region of Turbulent Fluxes from a Surface (Footprint): Concept and Estimation Methods A. Sogachev & I. Repina https://doi.org/10.1134/S0001433825701002
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