Treffer: Using atmospheric CO2 data to assess a simplified carbon-climate simulation for the 20th century

Title:
Using atmospheric CO2 data to assess a simplified carbon-climate simulation for the 20th century
Authors:
LAW, Rachel M, KOWALCZYK, Eva A, WANG, Ying-Ping
Source:
7th International CO2 Conference, Boulder, Colorado, 25-30 September 2005Tellus. Series B, Chemical and physical meteorology. 58(5):427-437
Publisher Information:
Oxford: Blackwell, 2006.
Publication Year:
2006
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Climatology, meteorology, Climatologie, météorologie, Sciences exactes et technologie, Exact sciences and technology, Terre, ocean, espace, Earth, ocean, space, Geophysique externe, External geophysics, Météorologie, Meteorology, Composition et réactions chimiques. Interactions et processus ioniques, Chemical composition and interactions. Ionic interactions and processes, Climatologie. Bioclimatologie. Changement climatique, Climatology. Bioclimatology. Climate change, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Ecologie animale, vegetale et microbienne, Animal, plant and microbial ecology, Ecologie animale et végétale, Animal and plant ecology, Synécologie, Synecology, Ecosystèmes terrestres, Terrestrial ecosystems, Milieu terrestre, Terrestrial environment, Medio terrestre, Carbone dioxyde, Carbon dioxide, Carbono dióxido, Changement planétaire, global change, Cambio planetario, Climatologie dynamique, Dynamical climatology, Climatología dinámica, Cycle carbone, carbon cycle, Densité flux, Flux density, Densidad flujo, Effet sur climat, Effect on climate, Efecto sobre clima, Gaz effet serre, greenhouse gas, Interaction air biosphère, Air biosphere interaction, Interacción aire biosfera, Modification climat, climate modification, Performance algorithme, algorithm performance, Pollution air, Air pollution, Contaminación aire, Relation source puits, Source sink relationship, Relación fuente sumidero, Réchauffement, warming, Rétroaction, feedback, Simulation numérique, digital simulation, Simulación numérica, Siècle 20eme, Century 20th, Siglo 20, Troposphère, troposphere, Variation temporelle, time variations, Variación temporal
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
CSIRO Marine and Atmospheric Research, PMB 1, Aspendale, Vic 3195, Australia
ISSN:
0280-6509
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18251347
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Animal, vegetal and microbial ecology

External geophysics
Accession Number:
edscal.18251347
Database:
PASCAL Archive

Weitere Informationen

The CSIRO biosphere model has been coupled to an atmosphere model and a simulation has been performed for the 20th century. Both biosphere and atmosphere are forced with global CO2 concentration and the atmosphere is also forced with prescribed sea surface temperatures. The simulation follows the C4MIP Phase 1 protocol. We assess the model simulation using atmospheric CO2 data. Mauna Loa growth rate is well simulated from 1980 but overestimated before that time. The interannual variations in growth rate are reasonably reproduced. Seasonal cycles are underestimated in northern mid-latitudes and are out of phase in the southern hemisphere. The north-south gradient of annual mean CO2 is substantially overestimated due to a northern hemisphere net biosphere source and a southern tropical sink. Diurnal cycles at three northern hemisphere locations are larger than observed in many months, most likely due to larger respiration than observed.