|From||"Tsamalis, Christoforos" <email@example.com>|
|Date||Thu, 27 Nov 2014 11:55:56 +0000|
Could you please advertise the following summer placement project for a student/recent graduate at the Met Office?
Analysis of ocean data to validate satellite observations.
Our team investigate the spatio-temporal variability of Sea Surface Temperature to better validate satellite observations. Sea surface temperature (SST) is a geophysical parameter important for both weather forecasting (initialisation of Numerical Weather Prediction models) and climate monitoring. Satellite instruments provide SST measurements by using a retrieval method to convert the observed signals to SST. The quality of SST satellite retrievals is mainly validated against in-situ SST observations from buoys through some predefined collocation criteria both in space and time. However, satellites provide space averaged SST with typical resolution between 1 and 25 km, while buoy observations are point measurements. Given the demand for high resolution SST observations, which can be provided only by satellites on a global scale, there is an on going effort to produce SST retrievals with finer resolution approaching the pixel level of each satellite instrument. Thus, the accurate validation of these SST retrievals becomes essential.
The aims of this project are twofold: Firstly, to determine the limits of the collocation criteria both in space and time for which the comparison between satellite observed and buoys SST is valid. Secondly, to estimate the accuracy and the precision of drifting buoys themselves.
The duration is 12 weeks starting on the 29th June 2015, with annual gross salary £14,000-14,994.
More information about the application can be found in the webpage:
under the link Summer Placement 2015 - Science & Observations
The subject’s number is MO-CM00098 (second page of the pdf file).
Note, the deadline for applications is the 5th January.
Dr Christoforos Tsamalis
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