HR: 14:15h
AN: A23E-02    [Abstracts]
TI: Air-sea Fluxes Derived From Satellite Data: Achievements and Perspectives
AU: * Schulz, J
EM: joerg.schulz@dwd.de
AF: Deutscher Wetterdienst, Kaiserleistrasse 29-35, Offenbach, 63067, Germany
AU: Andersson, A
EM: axel.andersson@zmaw.de
AF: Meteorologisches Institut, Universität Hamburg, Bundesstrasse 55, Hamburg, 20146, Germany
AU: Bakan, S
EM: stephan.bakan@zmaw.de
AF: Max-Planck-Institut für Meteorologie, Bundesstrasse 55, Hamburg, 20146, Germany
AU: Fennig, K
EM: karsten.fennig@metoffice.gov.uk
AF: Met Office, FitzRoy Road, Exeter Devon, EX1 3PB, United Kingdom
AU: Klepp, C P
EM: christian.klepp@zmaw.de
AF: Meteorologisches Institut, Universität Hamburg, Bundesstrasse 55, Hamburg, 20146, Germany
AU: Klocke, D
EM: daniel.klocke@zmaw.de
AF: Meteorologisches Institut, Universität Hamburg, Bundesstrasse 55, Hamburg, 20146, Germany
AB: Time series of satellite data, suitable for retrieval of water cycle components over the ocean, approach lengths that make them attractive to be used for the analysis of inter-annual variability and trends. Additionally, they can serve as an evaluation tool for model based atmospheric reanalyses and climate models. Based on the example of the satellite-derived Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data set (HOAPS-3) the presentation will contain some comparisons to ERA40 and control runs of the ECHAM5 climate model to elucidate the current status of similarities and differences between models and observations. The HOAPS-3 data set utilized the NOAA pathfinder sea surface temperature data set and several retrieval schemes for basic variables as near-surface humidity and wind speed applicable to the series of SSM/I instruments. The data set covers a time span from 1987-2005. Satellite based data sets are constructed from a series of instruments flying on successive platforms, e.g. SSM/I on the DMSP series and AVHRR on the NOAA series. To use those data for establishing time series suitable for trend detection a very careful correction of individual instrument and satellite platform errors has to be performed. Examples for those errors are orbit decay of the satellite that changes zenith angles over time and diurnal drift of the satellite platform aliasing in the diurnal cycle. Despite the high quality of some of those corrections a inter- sensor homogenization to a reference platform is unavoidable. The presentation will give a short review on used techniques and their advantages and disadvantages. Finally, the presentation will discuss the idea to use infrared sounding data from the IASI instrument on the MetOp satellite to improve current near-surface humidity and temperature retrievals and ways to include error information to the data sets.
DE: 3309 Climatology (1616, 1620, 3305, 4215, 8408)
DE: 3360 Remote sensing
DE: 4504 Air/sea interactions (0312, 3339)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly