Articles | Volume 11, issue 7
https://doi.org/10.5194/bg-11-1873-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-1873-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2014
Research article |
| 08 Apr 2014
Do we (need to) care about canopy radiation schemes in DGVMs? Caveats and potential impacts
A. Loew
Max Planck Institute for Meteorology, Hamburg, Germany
P. M. van Bodegom
VU University Amsterdam, Department of Ecological Science, Subdepartment of Systems Ecology, Amsterdam, the Netherlands
J.-L. Widlowski
European Commission, Joint Research Centre, Institute for Environment and Sustainability Joint Research Centre, Via E. Fermi 2749, 21027 Ispra (VA), Italy
Laboratoire des Sciences du Climat et l'Environnement (LSCE), CEA-CNRS-UVSQ, Gif-sur-Yvette, France
T. Quaife
Department of Meteorology, University of Reading, Earley Gate, Reading, UK
B. Pinty
European Commission, Joint Research Centre, Institute for Environment and Sustainability Joint Research Centre, Via E. Fermi 2749, 21027 Ispra (VA), Italy
T. Raddatz
Max Planck Institute for Meteorology, Hamburg, Germany
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43 citations as recorded by crossref.
- Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles A. Loew et al. 10.1175/JCLI-D-14-00503.1
- Evaluation of leaf-level optical properties employed in land surface models T. Majasalmi & R. Bright 10.5194/gmd-12-3923-2019
- Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) R. Fisher et al. 10.5194/gmd-8-3593-2015
- Canopy clumping index (CI): A review of methods, characteristics, and applications H. Fang 10.1016/j.agrformet.2021.108374
- Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance A. Shiklomanov et al. 10.5194/gmd-14-2603-2021
- Forest summer albedo is sensitive to species and thinning: how should we account for this in Earth system models? J. Otto et al. 10.5194/bg-11-2411-2014
- Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4 A. Martin et al. 10.5194/gmd-17-5705-2024
- Glacial Amazonia at the canopy-scale: Using a biophysical model to understand forest robustness H. Sato & S. Cowling 10.1016/j.quascirev.2017.06.027
- Climate change and disturbance interact to alter landscape reflectivity (albedo) in boreal forests across a large latitudinal gradient in Siberia E. Gustafson et al. 10.1016/j.scitotenv.2024.177043
- Drivers of shortwave radiation fluxes in Arctic tundra across scales I. Juszak et al. 10.1016/j.rse.2017.02.017
- Albedo climatology for European land surfaces retrieved from AVHRR data (1990–2014) and its spatial and temporal analysis from green‐up to vegetation senescence M. Sütterlin et al. 10.1002/2016JD024933
- Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
- A Scaling-Based Method for the Rapid Retrieval of FPAR From Fine-Resolution Satellite Data in the Remote-Sensing Trend-Surface Framework Y. Wang et al. 10.1109/TGRS.2020.2978884
- Influence of sun zenith angle on canopy clumping and the resulting impacts on photosynthesis R. Braghiere et al. 10.1016/j.agrformet.2020.108065
- Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. 10.1016/j.rse.2021.112497
- The role of remote sensing in process-scaling studies of managed forest ecosystems J. Masek et al. 10.1016/j.foreco.2015.05.032
- Generating Long Time Series of High Spatiotemporal Resolution FPAR Images in the Remote Sensing Trend Surface Framework Y. Wang et al. 10.1109/TGRS.2021.3067913
- Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. 10.1111/gcb.16503
- Assessment of JSBACHv4.30 as a land component of ICON-ESM-V1 in comparison to its predecessor JSBACHv3.2 of MPI-ESM1.2 R. Schneck et al. 10.5194/gmd-15-8581-2022
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
- Mimicking biochar-albedo feedback in complex Mediterranean agricultural landscapes E. Bozzi et al. 10.1088/1748-9326/10/8/084014
- Multiparameter Estimation From Landsat Observations With Topographic Consideration H. Shi et al. 10.1109/TGRS.2021.3057377
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America M. Longo et al. 10.5194/gmd-12-4347-2019
- A New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products M. Disney et al. 10.3390/rs8040275
- Underestimation of Global Photosynthesis in Earth System Models Due to Representation of Vegetation Structure R. Braghiere et al. 10.1029/2018GB006135
- Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 T. Mauritsen et al. 10.1029/2018MS001400
- Generalized Fine-Resolution FPAR Estimation Using Google Earth Engine: Random Forest or Multiple Linear Regression Y. Wang et al. 10.1109/JSTARS.2022.3230456
- Efficient Emulation of Radiative Transfer Codes Using Gaussian Processes and Application to Land Surface Parameter Inferences J. Gómez-Dans et al. 10.3390/rs8020119
- Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS) M. Chernetskiy et al. 10.3390/rs9070656
- How does leaf functional diversity affect the light environment in forest canopies? An in-silico biodiversity experiment E. Plekhanova et al. 10.1016/j.ecolmodel.2020.109394
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- The PROLIB leaf radiative transfer model: Simulation of the dorsiventrality of leaves from visible to mid-wave infrared H. Shi et al. 10.1016/j.rse.2024.114140
- Reexamination and further development of two‐stream canopy radiative transfer models for global land modeling H. Yuan et al. 10.1002/2016MS000773
- An Optical–Thermal Surface–Atmosphere Radiative Transfer Model Coupling Framework With Topographic Effects H. Shi et al. 10.1109/TGRS.2020.3044061
- The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections R. Braghiere et al. 10.1029/2023AV000910
- Solar-induced chlorophyll fluorescence from the Geostationary Carbon Cycle Observatory (GeoCarb): An extensive simulation study P. Somkuti et al. 10.1016/j.rse.2021.112565
- An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al. 10.1029/2018RG000608
- Strong Local Evaporative Cooling Over Land Due to Atmospheric Aerosols T. Chakraborty et al. 10.1029/2021MS002491
- Toward SI Traceability of a Monte Carlo Radiative Transfer Model in the Visible Range P. Jaanson et al. 10.1109/TGRS.2017.2761988
- Fast matrix treatment of 3-D radiative transfer in vegetation canopies: SPARTACUS-Vegetation 1.1 R. Hogan et al. 10.5194/gmd-11-339-2018
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
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- Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration? D. Baldocchi et al. 10.1016/j.agrformet.2015.03.010
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