Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-5203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-5203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
21 Dec 2018
Methods for assessment of models |
| 21 Dec 2018
| 21 Dec 2018
A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region
Technical University of Munich, TUM School of Life Sciences
Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85356 Freising,
Germany
Jens Heinke
Potsdam Institute for Climate Impact Research, Potsdam,
Germany
Florian Hofhansl
IIASA International Institute for Applied Systems
Analysis, Schlossplatz 1, 2361 Laxenburg, Austria
Hans Verbeeck
CAVElab
Computational & Applied Vegetation Ecology, Department of Applied Ecology
and Environmental Biology, Faculty of Bioscience Engineering, Gent, Belgium
Timothy R. Baker
School of Geography, University of Leeds, Leeds, UK
Bradley Christoffersen
Department of Biology, The University of Texas Rio Grande Valley,
Edinburg, USA
Philippe Ciais
Laboratoire des Sciences du Climat et de
l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay,
Gif-sur-Yvette, France
Hannes De Deurwaerder
CAVElab
Computational & Applied Vegetation Ecology, Department of Applied Ecology
and Environmental Biology, Faculty of Bioscience Engineering, Gent, Belgium
Katrin Fleischer
Technical University of Munich, TUM School of Life Sciences
Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85356 Freising,
Germany
David Galbraith
School of Geography, University of Leeds, Leeds, UK
Matthieu Guimberteau
Laboratoire des Sciences du Climat et de
l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay,
Gif-sur-Yvette, France
Andreas Huth
Helmholtz Centre for Environmental Research
(UFZ), Leipzig, Germany
Michelle Johnson
School of Geography, University of Leeds, Leeds, UK
Bart Krujit
ALTERRA, Wageningen-UR, Wageningen, the
Netherlands
Fanny Langerwisch
Potsdam Institute for Climate Impact Research, Potsdam,
Germany
Patrick Meir
School of Geosciences, University of Edinburgh,
Edinburgh, UK
Research School of Biology, Australian National
University, Canberra, Australia
Phillip Papastefanou
Technical University of Munich, TUM School of Life Sciences
Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85356 Freising,
Germany
Gilvan Sampaio
INPE, Sao Jose dos Campos, SP,
Brazil
Kirsten Thonicke
Potsdam Institute for Climate Impact Research, Potsdam,
Germany
Celso von Randow
INPE, Sao Jose dos Campos, SP,
Brazil
Christian Zang
Technical University of Munich, TUM School of Life Sciences
Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85356 Freising,
Germany
Edna Rödig
Helmholtz Centre for Environmental Research
(UFZ), Leipzig, Germany
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Cited
7 citations as recorded by crossref.
- A question of scale: modeling biomass, gain and mortality distributions of a tropical forest N. Knapp et al. 10.5194/bg-19-4929-2022
- Globally Increasing Atmospheric Aridity Over the 21st Century Z. Fang et al. 10.1029/2022EF003019
- From small-scale forest structure to Amazon-wide carbon estimates E. Rödig et al. 10.1038/s41467-019-13063-y
- Assessing regional drought impacts on vegetation and evapotranspiration: a case study in Guanacaste, Costa Rica S. Cooley et al. 10.1002/eap.1834
- Combining Sample Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data M. Chen et al. 10.3390/rs14061477
- Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
- An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation . Fujimoto et al. 10.3390/f10080680
6 citations as recorded by crossref.
- A question of scale: modeling biomass, gain and mortality distributions of a tropical forest N. Knapp et al. 10.5194/bg-19-4929-2022
- Globally Increasing Atmospheric Aridity Over the 21st Century Z. Fang et al. 10.1029/2022EF003019
- From small-scale forest structure to Amazon-wide carbon estimates E. Rödig et al. 10.1038/s41467-019-13063-y
- Assessing regional drought impacts on vegetation and evapotranspiration: a case study in Guanacaste, Costa Rica S. Cooley et al. 10.1002/eap.1834
- Combining Sample Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data M. Chen et al. 10.3390/rs14061477
- Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
Latest update: 17 Nov 2024
Short summary
We propose a generic approach for a pixel-to-point comparison applicable for evaluation of models and remote-sensing products. We provide statistical measures accounting for the uncertainty in ecosystem variables. We demonstrate our approach by comparing simulated values of aboveground biomass, woody productivity and residence time of woody biomass from four dynamic global vegetation models (DGVMs) with measured inventory data from permanent plots in the Amazon rainforest.
We propose a generic approach for a pixel-to-point comparison applicable for evaluation of...
