Characterizing sampling biases in the trace gas climatologies of the SPARC Data Initiative.

Toohey, Matthew , Hegglin, M. I., Tegtmeier, Susann, Anderson, J., Añel, J. A., Bourassa, A., Brohede, S., Degenstein, D., Froidevaux, L., Fuller, R., Funke, B., Gille, J., Jones, A., Kasai, Y., Krüger, Kirstin, Kyrölä, E., Neu, J. L., Rozanov, A., Smith, L., Urban, J., von Clarmann, T., Walker, K. A. and Wang, R. (2013) Characterizing sampling biases in the trace gas climatologies of the SPARC Data Initiative. Open Access Journal of Geophysical Research: Atmospheres, 118 (20). pp. 11847-11862. DOI 10.1002/jgrd.50874.

[thumbnail of jgrd50874.pdf]
jgrd50874.pdf - Published Version

Download (3MB) | Preview

Supplementary data:


Monthly zonal mean climatologies of atmospheric measurements from satellite instruments can have biases due to the non-uniform sampling of the atmosphere by the instruments. We characterize potential sampling biases in stratospheric trace gas climatologies of the Stratospheric Processes and their Role in Climate (SPARC) Data Initiative using chemical fields from a chemistry climate model simulation and sampling patterns from 16 satellite-borne instruments. The exercise is performed for the long-lived stratospheric trace gases O3 and H2O. Monthly sample biases for O3 exceed 10% for many instruments in the high latitude stratosphere and in the upper troposphere/lower stratosphere, while annual mean sampling biases reach values of up to 20% in the same regions for some instruments. Sampling biases for H2O are generally smaller than for O3, although still notable in the upper troposphere/lower stratosphere and Southern Hemisphere high latitudes. The most important mechanism leading to monthly sampling bias is the non-uniform temporal sampling of many instruments, i.e., the fact that for many instruments, monthly means are produced from measurements which span less than the full month in question. Similarly, annual mean sampling biases are well explained by non-uniformity in the month-to-month sampling by different instruments. Non-uniform sampling in latitude and longitude are shown to also lead to non-negligible sampling biases, which are most relevant for climatologies which are otherwise free of sampling biases due to non-uniform temporal sampling.

Document Type: Article
Funder compliance: info:eu-repo/grantAgreement/EC/FP7/226224
Keywords: climatologies; sampling; stratosphere; satellite measurements
Research affiliation: OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-ME Maritime Meteorology
Refereed: Yes
Open Access Journal?: No
Publisher: AGU (American Geophysical Union), Wiley
Projects: ALARM, TRANSBROM, SHIVA, SHARP, Future Ocean, MiKlip
Date Deposited: 18 Oct 2013 07:23
Last Modified: 06 Feb 2018 13:09

Actions (login required)

View Item View Item