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Carbon cycle data assimilation with a generic phenology model

https://doi.org/10.1029/2009jg001119
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A soil-adjusted vegetation index (SAVI)
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Stomatal control of transpiration
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Improvements of the MODIS terrestrial gross and net primary production global data set
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LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION
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A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS
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Uncertainty estimates for the FAPAR operational products derived from MERIS — Impact of top-of-atmosphere radiance uncertainties and validation with field data
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On the need to observe vegetation canopies in the near-infrared to estimate visible light absorption
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Stomatal Control of Transpiration: Scaling Up from Leaf to Region
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Needle longevity, shoot growth and branching frequency in relation to site fertility and within-canopy light conditions in Pinus sylvestris
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The state of vegetation in Europe following the 2003 drought
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A model of regional primary production for use with coarse resolution satellite data
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Designing optimal spectral indexes for remote sensing applications
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Theoretical limits to the estimation of the leaf area index on the basis of visible and near-infrared remote sensing data
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Primary Production of the Biosphere: Integrating Terrestrial and Oceanic Components
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A prognostic phenology scheme for global terrestrial carbon cycle models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance
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Referee comment
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Comment on bg-2022-109
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Reply on RC1
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Comment on bg-2022-109
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A new concept for simulation of vegetated land surface dynamics – Part 1: The event driven phenology model
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Consistent assimilation of MERIS FAPAR and atmospheric CO 2 into a terrestrial vegetation model and interactive mission benefit analysis
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Supplementary material to "Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana"
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Reply on RC1
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Reply on CEC1
inferred← citeshttps://doi.org/10.5194/egusphere-2023-1955-cc1openalex-snapshot
Reply on CEC1
inferred← citeshttps://doi.org/10.5194/egusphere-2023-1955-cec1openalex-snapshot
Comment on egusphere-2023-1955
inferred← citeshttps://doi.org/10.5194/egusphere-2023-1955-rc1openalex-snapshot
Comment on egusphere-2023-1955
inferred← citeshttps://doi.org/10.5194/egusphere-2023-1955-rc2openalex-snapshot
Comment on egusphere-2023-1955
inferred← citeshttps://doi.org/10.5194/egusphere-2024-1534-rc1openalex-snapshot
Comment on egusphere-2024-1534
inferred← citeshttps://doi.org/10.5194/essd-14-5333-2022openalex-snapshot
Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021
inferred← citeshttps://doi.org/10.5194/essd-2022-131-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/essd-2022-131-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/essd-2022-131-rc1openalex-snapshot
Comment on essd-2022-131
inferred← citeshttps://doi.org/10.5194/essd-2022-131-rc2openalex-snapshot
Comment on essd-2022-131
inferred← citeshttps://doi.org/10.5194/gmd-10-1679-2017openalex-snapshot
The impacts of data constraints on the predictive performance of a general process-based crop model (PeakN-crop v1.0)
inferred← citeshttps://doi.org/10.5194/gmd-11-1517-2018openalex-snapshot
Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content
inferred← citeshttps://doi.org/10.5194/gmd-12-4075-2019openalex-snapshot
Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH
inferred← citeshttps://doi.org/10.5194/gmd-14-2603-2021openalex-snapshot
Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance
inferred← citeshttps://doi.org/10.5194/gmd-17-6337-2024openalex-snapshot
Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0)
inferred← citeshttps://doi.org/10.5194/gmd-18-2137-2025openalex-snapshot
A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0
inferred← citeshttps://doi.org/10.5194/gmd-2016-13-ac4openalex-snapshot
Responses to reviewer 4
inferred← citeshttps://doi.org/10.5194/gmd-6-1623-2013openalex-snapshot
Quantifying the carbon uptake by vegetation for Europe on a 1 km 2 resolution using a remote sensing driven vegetation model
inferred← citeshttps://doi.org/10.5194/gmd-6-45-2013openalex-snapshot
Quantifying the model structural error in carbon cycle data assimilation systems
inferred← citeshttps://doi.org/10.5194/gmd-7-2581-2014openalex-snapshot
Model–data fusion across ecosystems: from multisite optimizations to global simulations
inferred← citeshttps://doi.org/10.5194/gmd-9-2999-2016openalex-snapshot
Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0
inferred← citeshttps://doi.org/10.5194/gmdd-8-4781-2015openalex-snapshot
Modelling spatial and temporal vegetation variability with the Climate Constrained Vegetation Index: evidence of CO2 fertilisation and of water stress in continental interiors
inferred← citeshttps://doi.org/10.5194/mr-2020-22-ac1openalex-snapshot
Point-by-point reply
inferred← citeshttps://doi.org/10.53846/goediss-4311openalex-snapshot
Modellierung der vegetativen Produktivität zur Bewertung der Landdegradation im ariden und semi-ariden südlichen Afrika
inferred← citeshttps://doi.org/10.5814/j.issn.1674-764x.2013.04.004openalex-snapshot
Species- and Community-Scale Simulation of the Phenology of a Temperate Forest in Changbai Mountain Based on Digital Camera Images
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.