We introduce a novel algorithm for the efficient detection and tracking of features in spatiotemporal atmospheric data, as well as for the precise localization of the occurring genesis, lysis, merging and splitting events. The algorithm works on data given on a four-dimensional structured grid. Feature selection and clustering are based on adjustable local and global criteria, feature tracking ...

The paper reports the assessment of CFC-11 abundances in the stratosphere obtained using MIPAS observations in the first two years of operation. The retrieval of CFC-11 abundances from the measured radiances is obtained using an approximated and fast forward model. Even if yet limited to the two year for which consolidated MIPAS data are available, the analysis provides detailed information on ...

This paper provides an overview of the analysis of remotely sensed data that has been performed within the scope of a project aiming at obtaining a 40-year hindcast of wind, sea level and wave climatology for the European waters. The satellite data, including wind, wave and sea-level data, are collected for the same areas and are calibrated with available and validated measurements. It will be ...

daily precipitation data from aphrodite's resources with a spatial resolution of 0.25*0.25 degree for 57 years have been used to detect the trend of precipitation in afghanistan. first of all, monthly, seasonally, and yearly maps and regional mean time series calculated. according to the annual map, mean annual precipitation of the country is about 256 mm. there are two precipitation maxim...

The Global Aerosol Climatology Project data product based on analyses of channel 1 and 2 AVHRR radiances shows significant regional changes in the retrieved optical thickness of tropospheric aerosols which had occurred between the volcano-free periods 1988-91 and 2002-05. These trends appear to be generally plausible, are consistent with extensive sets of long-term ground-based observations thr...

Discriminating raining from non-raining clouds at mid-latitudes using multispectral satellite data T. Nauss and A. A. Kokhanovsky Laboratory of Climatology and Remote Sensing, University of Marburg, Germany Institute of Remote Sensing, University of Bremen, Germany Received: 9 November 2005 – Accepted: 20 December 2005 – Published: 20 February 2006 Correspondence to: T. Nauss ([email protected]) © ...

Prototype coarse-grained stochastic parametrizations for the interaction with unresolved features of tropical convection are developed here. These coarse-grained stochastic parametrizations involve systematically derived birth/death processes with low computational overhead that allow for direct interaction of the coarse-grained dynamical variables with the smaller-scale unresolved fluctuations...