NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
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Introduction<br />
GNSS Based Sounding of the Atmosphere/Ionosphere<br />
During the last decade GNSS based techniques for ground<br />
and space based atmospheric/ionospheric sounding were<br />
established as the forth pillar of the classic geodetic trinity<br />
Earth rotation, geo-kinematics and gravity&geoid<br />
(RUMMEL, 2003). The atmospheric refraction, error source<br />
for the majority of geodetic applications, is used as<br />
measurement signal. Atmospheric properties, as, e.g.,<br />
globally distributed vertical profiles of refractivity, temperature,<br />
water vapor and electron density can be derived from<br />
space based techniques. Ground based measurements,<br />
provided by global and regional networks, allow for the<br />
derivation of vertically or along the line-of-sight (slant)<br />
integrated water vapor or electron density (Total Electron<br />
Content, TEC) content on a global and also regional scale<br />
(see, e.g., WICKERT and GENDT, 2006; JAKOWSKI, 2005a,b).<br />
Space based techniques<br />
Within the reporting period fell the begin of the era of a<br />
multi-satellite LEO (Low Earth Orbiter) constellation for<br />
precise atmospheric sounding on a global scale using the<br />
innovative GPS Radio Occultation (GPS RO) technique.<br />
In addition to the German CHAMP (CHAllenging Minisatellite<br />
Payload) satellite (e.g., REIGBER et al., 2005;<br />
WICKERT et al., 2006a, 2004a), which provides almost<br />
continuously data since 2001, data from several additional<br />
missions became available in 2006. GPS RO aboard the<br />
U.S.-German GRACE-A satellite (Gravity Recovery And<br />
Climate Experiment) was continuously activated on May<br />
22, 2006 (BEYERLE et al., 2005; WICKERT et al., 2006b,<br />
2005). The six satellites of the U.S.-Taiwan COSMIC/<br />
Formosat-3 (Constellation Observing System for Meteorology,<br />
Ionosphere and Climate) were successfully launched<br />
on April 15, 2007 and will provide about 2,500 globally<br />
distributed profiles per day (e.g., WICKERT et al., 2007).<br />
The European operational weather satellite METOP was<br />
launched on Oct. 19, 2006 and the GRAS (GNSS Receiver<br />
for Atmospheric Sounding) was switched to occultation<br />
mode for the first time on Oct. 27. 40 measurements were<br />
recorded during one revolution, each lasting ~100 min.<br />
This LEO configuration (as of April 2007) will be extended<br />
soon by the German TerraSAR-X, which is foreseen to be<br />
launched in May 2007 with a Russian Dnepr-1 from<br />
Baikonur. Several activities in other countries led to the<br />
realization of additional occultation missions, as, e.g.,<br />
OCEANSAT (India), KOMPSAT-5 (South Korea) and<br />
TANDEM-X (Germany). The application of GPS RO<br />
J. WICKERT 1 , N. JAKOWSKI 2<br />
1 Jens Wickert: GeoForschungsZentrum Potsdam ,(GFZ), Telegrafenberg, D - 14473 Potsdam, Department 1 – Geodesy and Remote<br />
Sensing, Germany; Tel. +49 - 331 - 288-1758, e-mail wickert@gfz-potsdam.de, www.gfz-potsdam.de/atmo<br />
2 Norbert Jakowski: Deutsches Zentrum für Luft- und Raumfahrt, Institut für Kommunikation und Navigation, Aussenstelle Neustrelitz,<br />
Kalkhorstweg 53, D - 17235 Neustrelitz, Germany, Tel. +49 - 3981 - 480-151, e-mail norbert.jakowski@dlr.de<br />
125<br />
aboard several satellites multiplies the potential of the<br />
innovative atmospheric sounding technique for several<br />
applications in atmospheric research, weather forecast and<br />
climate change related studies.<br />
A highlight of these applications is the use of GPS RO data<br />
to improve global weather forecasts (e.g., HEALY et al.,<br />
2007). Hereby a breakthrough was reached. Data from the<br />
German CHAMP and U.S.-German GRACE-A satellites<br />
(GFZ analyses) were assimilated as the first GPS radio<br />
occultation measurements operationally in 2006 to improve<br />
global weather forecasts at the U.K. Met<strong>Office</strong>, the European<br />
Centre for Medium-Range Weather Forecasts<br />
(ECMWF) and the Japan Meteorological Agency (JMA).<br />
Currently the data are assimilated in parallel with<br />
COSMIC/Formosat-3 data.<br />
The CHAMP data set (started in 2001 and covers as of 2007<br />
already 6 years), including analysis results is made available<br />
by GFZ for the international scientific community. The data<br />
were and are the basis for the preparation of several occultation<br />
missions, the improvement of analysis algorithms (e.g.<br />
BEYERLE et al., 2006), and are used for several atmospheric<br />
investigations. Examples for such investigations are, e.g.,<br />
climatological studies (FOELSCHE et al., 2005) or characterization<br />
of global tropopause (SCHMIDT et al., 2006, 2005,<br />
2004) and gravity wave (DE LATORRE et al., 2006) properties.<br />
The CHAMP data set is also used to derive the global<br />
distribution of water vapor (e.g., HEISE et al., 2005a) or to<br />
reveal weaknesses of meteorological analyses or radiosonde<br />
measurements (e.g., GOBIET et al., 2005; WICKERT, 2004).<br />
GPS RO has also been further developed for monitoring<br />
the ionosphere (e.g. JAKOWSKI, 2005a,b). To estimate<br />
resolution and accuracy of the electron density profiles from<br />
CHAMP under different geophysical conditions, validation<br />
work for ionospheric retrievals was continued and<br />
supported by the European COST 271 action (e.g.<br />
JAKOWSKI et al., 2005b; STOLLE et al., 2004). Comparative<br />
studies with ionospheric 3D models such as IRI (JAKOWSKI<br />
and TSYBULYA, 2004) and NeQuick (JAKOWSKI et al.,<br />
2005c) were made, demonstrating that the RO measurements<br />
can effectively be used for validation and/or development<br />
of these models. The data may also effectively be<br />
applied for tomographic 3D reconstructions of the ionospheric<br />
plasma density distribution as shown by STOLLE<br />
et al. (2005). Key parameters of the ionospheric profiles<br />
such as the scale height can easily be derived from RO data<br />
for modeling or reconstruction (STANKOV and JAKOWSKI,<br />
2005, 2006a,b). First approaches were developed for