Sensitivity of ensemble Lagrangian reconstructions to assimilated wind time step resolution - Archive ouverte HAL Access content directly
Journal Articles Atmospheric Chemistry and Physics Year : 2010

Sensitivity of ensemble Lagrangian reconstructions to assimilated wind time step resolution

(1) , (2) , (1) , (2)
1
2

Abstract

We study the impact of temporal and spatial resolution and changes in modelled meteorological winds in the context of diffusive ensemble Lagrangian reconstructions. In situ tracer measurements are modelled based on coarse resolution global 3-D tracer distributions from a chemistry-transport model and on different time series of meteorological wind fields including a special set of 1-hourly analysed winds which is compared with 3 and 6-hourly operational analysed winds and with 3-hourly ERA-interim reanalysis. Increasing the time resolution of the advecting winds from three to one hour using the operational winds provides an improvement on diffusive reconstructions in the period studied but smaller than that obtained from six to three hours. The positive impact of using 1-hourly winds is similar to that obtained using ERA-Interim 3-hourly winds instead of the 3-hourly ECMWF operational analysis for the same period. This study sets out a technique to quantify differences in time series of meteorological wind fields here applied to assess the optimal space and time resolutions for ensemble Lagrangian reconstructions in the lower stratosphere.
Fichier principal
Vignette du fichier
acp-10-3155-2010.pdf (1.95 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

insu-02987254 , version 1 (03-11-2020)

Licence

Attribution - NoDerivatives - CC BY 4.0

Identifiers

Cite

I. Pisso, V. Marécal, Bernard Legras, Gwenaël Berthet. Sensitivity of ensemble Lagrangian reconstructions to assimilated wind time step resolution. Atmospheric Chemistry and Physics, 2010, 10 (7), pp.3155-3162. ⟨10.5194/acp-10-3155-2010⟩. ⟨insu-02987254⟩
30 View
33 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More