Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Comparing Lagrangian and Eulerian models for CO2 transport - a step towards Bayesian inverse modeling using WRF/STILT-VPRM

Pillai, D., Gerbig, C., Kretschmer, R., Beck, V., Karstens, U., Neininger, B., et al. (2012). Comparing Lagrangian and Eulerian models for CO2 transport - a step towards Bayesian inverse modeling using WRF/STILT-VPRM. Atmospheric Chemistry and Physics, 12, 8979-8991. doi:10.5194/acp-12-8979-2012.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
BGC1698.pdf (Verlagsversion), 2MB
Name:
BGC1698.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-
:
BGC1698D.pdf (Verlagsversion), 3MB
Name:
BGC1698D.pdf
Beschreibung:
Discussion paper
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
http://dx.doi.org/10.5194/acp-12-8979-2012 (Verlagsversion)
Beschreibung:
OA
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Pillai, D.1, Autor           
Gerbig, Christoph1, Autor           
Kretschmer, Roberto1, Autor           
Beck, Veronika1, Autor           
Karstens, Ute2, Autor           
Neininger, B, Autor
Heimann, Martin3, Autor           
Affiliations:
1Airborne Trace Gas Measurements and Mesoscale Modelling, Dr. habil. C. Gerbig, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497784              
2Regional Scale Modelling of Atmospheric Trace Gases, Dr. U. Karstens, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497788              
3Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497755              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: We present simulations of atmospheric CO2 concentrations provided by two modeling systems, run at high spatial resolution: the Eulerian-based Weather Research Forecasting (WRF) model and the Lagrangian-based Stochastic Time-Inverted Lagrangian Transport (STILT) model, both of which are coupled to a diagnostic biospheric model, the Vegetation Photosynthesis and Respiration Model (VPRM). The consistency of the simulations is assessed with special attention paid to the details of horizontal as well as vertical transport and mixing of CO2 concentrations in the atmosphere. The dependence of model mismatch (Eulerian vs. Lagrangian) on models' spatial resolution is further investigated. A case study using airborne measurements during which two models showed large deviations from each other is analyzed in detail as an extreme case. Using aircraft observations and pulse release simulations, we identified differences in the representation of details in the interaction between turbulent mixing and advection through wind shear as the main cause of discrepancies between WRF and STILT transport at a spatial resolution such as 2 and 6 km. Based on observations and inter-model comparisons of atmospheric CO2 concentrations, we show that a refinement of the parameterization of turbulent velocity variance and Lagrangian time-scale in STILT is needed to achieve a better match between the Eulerian and the Lagrangian transport at such a high spatial resolution (e.g. 2 and 6 km). Nevertheless, the inter-model differences in simulated CO2 time series for a tall tower observatory at Ochsenkopf in Germany are about a factor of two smaller than the model-data mismatch and about a factor of three smaller than the mismatch between the current global model simulations and the data.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2012-09-192012-10-022012
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: Anderer: BGC1698
DOI: 10.5194/acp-12-8979-2012
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Atmospheric Chemistry and Physics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Katlenburg-Lindau, Germany : European Geosciences Union
Seiten: - Band / Heft: 12 Artikelnummer: - Start- / Endseite: 8979 - 8991 Identifikator: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016