Cloud Statistics from Calipso Lidar Data for the Performance Assessment of a Methane Space Lidar
In this thesis a performance assessment for the future German-French climate monitoring initiative, Methane Remote Sensing Lidar Mission (MERLIN), proposed by DLR and CNES in 2010 was undertaken. A general space lidar performance issue is the obstruction by optically dense clouds. For this purpose cloud free statistics, the global cloud top flatness and global cloud top distributions were derived from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) level 2, 333 m and 5 km lidar cloud-layer products between 01 January 2007 and 01 January 2008.
read moreBam, Iran – Earthquake detection with the ASAR instrument of ENVISAT
The 2003 Bam, Iran earthquake was a major earthquake with a moment magnitude of 6.6, that caused a huge number of casualties as well as major destructions in Bam and the surrounding Kerman province. Due to continous observation from space it is possible to determine the geophysical processes involved not only by classical seismographs but also by Radar interferometry.
read moreAntarctic ice-mass balance
Presentation and introduction to the topic of antarctic ice-mass balances and the improvement of its estimate for the past 5 years.
read moreNASA’s Curiosity Touchdown
Finally after 9 month of flighttime, NASA’s mobile laboraty made it to Mars. Carrying the most advanced payload of scientific gear ever used on Mars‘ surface, the Mars rover is ready to investigate whether conditions have been favorable for microbial life and for preserving clues in the rocks about possible past life. The Curiosity Mission is the follow on mission of NASA’s past Mars Mission with twin Mars Exploration Rovers, Spirit and Opportunity launched in 2003.
read moreSea Level Analysis using ENVISAT
In this project the goal is to retrieve reliable information about the sea level change from 2004 to 2008 using ENVISAT data. Furthermore the main concepts for a software development and implementation shall be simulated. For this purpose a program has to be developed that is capable of converting the ENVISAT raw data into a matlab readable format, applying all necessary corrections given by the data itself and interpolate the data to retrieve an assumption for the past sea level change from 2004 to 2008.
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