Computer Science – Sound
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agufmsf53a0728f&link_type=abstract
American Geophysical Union, Fall Meeting 2004, abstract #SF53A-0728
Computer Science
Sound
3360 Remote Sensing, 3309 Climatology (1620), 1610 Atmosphere (0315, 0325), 1640 Remote Sensing, 0350 Pressure, Density, And Temperature
Scientific paper
The radio occultation (RO) technique is based on a satellite-to-satellite limb sounding concept using microwave signals to probe the Earth's atmosphere. The propagation of Global Navigation Satellite System (GNSS) signals is influenced by the atmospheric refractivity field resulting in slowing and bending of the signal. The atmospheric phase delay as the principle observable is measured with millimetric accuracy. It is the basis for high-quality retrievals of atmospheric key variables, particularly of temperature profiles. Highest temperature accuracies of <~1~K are obtained in the upper troposphere and lower stratosphere. The long-term stability, self-calibrated nature, all-weather capability, high vertical resolution, global coverage, and high accuracy of RO data suggests them as a promising tool for global short- and long-term monitoring of atmospheric temperature change. The German/US research satellite CHAMP (CHAllenging Minisatellite Payload for geoscientific research) continuously records RO profiles since March 2002. The mission is expected to last at least until 2007, thus CHAMP RO data provide the first opportunity to create real RO based climatologies on a longer term. CHAMPCLIM is a joint project of the Institute for Geophysics, Astrophysics, and Meteorology (IGAM) in Graz and the GeoForschungsZentrum (GFZ) in Potsdam. It aims at exploiting the CHAMP RO data in the best possible manner for climate research. For this purpose, all CHAMP RO profiles provided by GFZ on excess phase level are currently processed at IGAM to obtain atmospheric profiles of refractivity, geopotential height, and dry temperature. The IGAM retrieval scheme is tailored to minimizing biases and yields a new atmospheric data set especially tuned for monitoring climate variability and change. The retrieved atmospheric profiles (150-160 profiles/day) are used to create climatologies on a monthly, seasonal, and annual basis. After focus on optimizing the RO data processing for climate applications and validation of the retrieval results using various reference data sources (now continued as "background" activity), the main emphasis is currently on the setup of a pre-operational system, processing of the complete 2002-2004 data, and on the creation of global climatologies including error estimates. After an overview on the status of the CHAMPCLIM project, we will focus on dry temperature climatologies from seasons within spring (MAM) 2002 to winter (DJF) 2003/2004, obtained by averaging-and-binning. Our results show that useful dry temperature climatologies resolving horizontal scales >~1000~km can be obtained even with data from a single RO receiver. RO based climatologies have the potential to improve modern operational climatologies, especially in regions where the data coverage and/or the vertical resolution and accuracy of RO data is superior to traditional data sources.
Borsche M.
Foelsche Ulrich
Gobiet A.
Kirchengast Gottfried
Schmidt Tabea
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