Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales

Terrestrial biosphere models are indispensable tools for analyzing the Biosphere-atmosphere exchange of carbon and water. Evaluation of these models using site level observations scrutinizes our current understanding of biospheric responses to meteorological variables. Here we propose a novel model-data comparison strategy considering that CO2 and H2O exchanges fluctuate on a wide range of timescales. Decomposing simulated and observed time series into subsignals allows to quantify model performance as a function of frequency, and to localize model-data disagreement in time. This approach is illustrated using site level predictions from two models of different complexity, Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and Lund-Potsdam-Jena (LPJ), at four eddy covariance towers in different climates. Frequency-dependent errors reveal substantial model-data disagreement in seasonal?annual and high-frequency net CO2 fluxes. By localizing these errors in time we can trace these back, for example, to overestimations of seasonal-annual periodicities of ecosystem respiration during spring greenup and autumn in both models. In the same frequencies, systematic misrepresentations of CO2 uptake severely affect the performance of LPJ, which is a consequence of the parsimonious representation of phenology. ORCHIDEE shows pronounced model-data disagreements in the high-frequency fluctuations of evapotranspiration across the four sites. We highlight the advantages that our novel methodology offers for a rigorous model evaluation compared to classical model evaluation approaches. We propose that ongoing model development will benefit from considering model-data (dis)agreements in the time-frequency domain.

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Main Authors: Mahecha, Miguel D., Reichstein, Markus, Jung, Martin, Seneviratne, Sonia I., Zaehle, Sönke, Beer, Christian, Braakhekke, M.C., Carvalhais, Nuno, Lange, Holger, Le Maire, Guerric, Moors, Eddy J.
Format: article biblioteca
Language:eng
Subjects:U10 - Informatique, mathématiques et statistiques, P40 - Météorologie et climatologie, 000 - Autres thèmes, P01 - Conservation de la nature et ressources foncières, écologie, eau, modélisation environnementale, cycle du carbone, dioxyde de carbone, cycle hydrologique, évapotranspiration, écosystème, modèle de simulation, atmosphère, météorologie, climatologie, http://aims.fao.org/aos/agrovoc/c_2467, http://aims.fao.org/aos/agrovoc/c_8309, http://aims.fao.org/aos/agrovoc/c_9000056, http://aims.fao.org/aos/agrovoc/c_17299, http://aims.fao.org/aos/agrovoc/c_1302, http://aims.fao.org/aos/agrovoc/c_11670, http://aims.fao.org/aos/agrovoc/c_2741, http://aims.fao.org/aos/agrovoc/c_2482, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_8994, http://aims.fao.org/aos/agrovoc/c_4783, http://aims.fao.org/aos/agrovoc/c_1671,
Online Access:http://agritrop.cirad.fr/557773/
http://agritrop.cirad.fr/557773/1/document_557773.pdf
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spelling dig-cirad-fr-5577732024-01-28T18:48:33Z http://agritrop.cirad.fr/557773/ http://agritrop.cirad.fr/557773/ Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales. Mahecha Miguel D., Reichstein Markus, Jung Martin, Seneviratne Sonia I., Zaehle Sönke, Beer Christian, Braakhekke M.C., Carvalhais Nuno, Lange Holger, Le Maire Guerric, Moors Eddy J.. 2010. Journal of Geophysical Research. Biogeosciences, 115 (G2), 21 p.https://doi.org/10.1029/2009JG001016 <https://doi.org/10.1029/2009JG001016> Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales Mahecha, Miguel D. Reichstein, Markus Jung, Martin Seneviratne, Sonia I. Zaehle, Sönke Beer, Christian Braakhekke, M.C. Carvalhais, Nuno Lange, Holger Le Maire, Guerric Moors, Eddy J. eng 2010 Journal of Geophysical Research. Biogeosciences U10 - Informatique, mathématiques et statistiques P40 - Météorologie et climatologie 000 - Autres thèmes P01 - Conservation de la nature et ressources foncières écologie eau modélisation environnementale cycle du carbone dioxyde de carbone cycle hydrologique évapotranspiration écosystème modèle de simulation atmosphère météorologie climatologie http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_8309 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_17299 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_11670 http://aims.fao.org/aos/agrovoc/c_2741 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_8994 http://aims.fao.org/aos/agrovoc/c_4783 http://aims.fao.org/aos/agrovoc/c_1671 Terrestrial biosphere models are indispensable tools for analyzing the Biosphere-atmosphere exchange of carbon and water. Evaluation of these models using site level observations scrutinizes our current understanding of biospheric responses to meteorological variables. Here we propose a novel model-data comparison strategy considering that CO2 and H2O exchanges fluctuate on a wide range of timescales. Decomposing simulated and observed time series into subsignals allows to quantify model performance as a function of frequency, and to localize model-data disagreement in time. This approach is illustrated using site level predictions from two models of different complexity, Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and Lund-Potsdam-Jena (LPJ), at four eddy covariance towers in different climates. Frequency-dependent errors reveal substantial model-data disagreement in seasonal?annual and high-frequency net CO2 fluxes. By localizing these errors in time we can trace these back, for example, to overestimations of seasonal-annual periodicities of ecosystem respiration during spring greenup and autumn in both models. In the same frequencies, systematic misrepresentations of CO2 uptake severely affect the performance of LPJ, which is a consequence of the parsimonious representation of phenology. ORCHIDEE shows pronounced model-data disagreements in the high-frequency fluctuations of evapotranspiration across the four sites. We highlight the advantages that our novel methodology offers for a rigorous model evaluation compared to classical model evaluation approaches. We propose that ongoing model development will benefit from considering model-data (dis)agreements in the time-frequency domain. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/557773/1/document_557773.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1029/2009JG001016 10.1029/2009JG001016 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=209675 info:eu-repo/semantics/altIdentifier/doi/10.1029/2009JG001016 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1029/2009JG001016
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
écologie
eau
modélisation environnementale
cycle du carbone
dioxyde de carbone
cycle hydrologique
évapotranspiration
écosystème
modèle de simulation
atmosphère
météorologie
climatologie
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_8309
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_1302
http://aims.fao.org/aos/agrovoc/c_11670
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_8994
http://aims.fao.org/aos/agrovoc/c_4783
http://aims.fao.org/aos/agrovoc/c_1671
U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
écologie
eau
modélisation environnementale
cycle du carbone
dioxyde de carbone
cycle hydrologique
évapotranspiration
écosystème
modèle de simulation
atmosphère
météorologie
climatologie
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_8309
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_1302
http://aims.fao.org/aos/agrovoc/c_11670
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_8994
http://aims.fao.org/aos/agrovoc/c_4783
http://aims.fao.org/aos/agrovoc/c_1671
spellingShingle U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
écologie
eau
modélisation environnementale
cycle du carbone
dioxyde de carbone
cycle hydrologique
évapotranspiration
écosystème
modèle de simulation
atmosphère
météorologie
climatologie
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_8309
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_1302
http://aims.fao.org/aos/agrovoc/c_11670
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_8994
http://aims.fao.org/aos/agrovoc/c_4783
http://aims.fao.org/aos/agrovoc/c_1671
U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
écologie
eau
modélisation environnementale
cycle du carbone
dioxyde de carbone
cycle hydrologique
évapotranspiration
écosystème
modèle de simulation
atmosphère
météorologie
climatologie
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_8309
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_1302
http://aims.fao.org/aos/agrovoc/c_11670
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_8994
http://aims.fao.org/aos/agrovoc/c_4783
http://aims.fao.org/aos/agrovoc/c_1671
Mahecha, Miguel D.
Reichstein, Markus
Jung, Martin
Seneviratne, Sonia I.
Zaehle, Sönke
Beer, Christian
Braakhekke, M.C.
Carvalhais, Nuno
Lange, Holger
Le Maire, Guerric
Moors, Eddy J.
Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
description Terrestrial biosphere models are indispensable tools for analyzing the Biosphere-atmosphere exchange of carbon and water. Evaluation of these models using site level observations scrutinizes our current understanding of biospheric responses to meteorological variables. Here we propose a novel model-data comparison strategy considering that CO2 and H2O exchanges fluctuate on a wide range of timescales. Decomposing simulated and observed time series into subsignals allows to quantify model performance as a function of frequency, and to localize model-data disagreement in time. This approach is illustrated using site level predictions from two models of different complexity, Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and Lund-Potsdam-Jena (LPJ), at four eddy covariance towers in different climates. Frequency-dependent errors reveal substantial model-data disagreement in seasonal?annual and high-frequency net CO2 fluxes. By localizing these errors in time we can trace these back, for example, to overestimations of seasonal-annual periodicities of ecosystem respiration during spring greenup and autumn in both models. In the same frequencies, systematic misrepresentations of CO2 uptake severely affect the performance of LPJ, which is a consequence of the parsimonious representation of phenology. ORCHIDEE shows pronounced model-data disagreements in the high-frequency fluctuations of evapotranspiration across the four sites. We highlight the advantages that our novel methodology offers for a rigorous model evaluation compared to classical model evaluation approaches. We propose that ongoing model development will benefit from considering model-data (dis)agreements in the time-frequency domain.
format article
topic_facet U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
écologie
eau
modélisation environnementale
cycle du carbone
dioxyde de carbone
cycle hydrologique
évapotranspiration
écosystème
modèle de simulation
atmosphère
météorologie
climatologie
http://aims.fao.org/aos/agrovoc/c_2467
http://aims.fao.org/aos/agrovoc/c_8309
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_1302
http://aims.fao.org/aos/agrovoc/c_11670
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_8994
http://aims.fao.org/aos/agrovoc/c_4783
http://aims.fao.org/aos/agrovoc/c_1671
author Mahecha, Miguel D.
Reichstein, Markus
Jung, Martin
Seneviratne, Sonia I.
Zaehle, Sönke
Beer, Christian
Braakhekke, M.C.
Carvalhais, Nuno
Lange, Holger
Le Maire, Guerric
Moors, Eddy J.
author_facet Mahecha, Miguel D.
Reichstein, Markus
Jung, Martin
Seneviratne, Sonia I.
Zaehle, Sönke
Beer, Christian
Braakhekke, M.C.
Carvalhais, Nuno
Lange, Holger
Le Maire, Guerric
Moors, Eddy J.
author_sort Mahecha, Miguel D.
title Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
title_short Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
title_full Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
title_fullStr Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
title_full_unstemmed Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
title_sort comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple timescales
url http://agritrop.cirad.fr/557773/
http://agritrop.cirad.fr/557773/1/document_557773.pdf
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