Four satellite cloud phase determination methods from SEVIRI were evaluated by comparing one year of retrievals (May 2004-April 2005) with ground-based observed cloud phase from cloud radar and lidar at Cabauw, the Netherlands. The aim of this research was to assess which cloud phase determination method was suited best to derive cloud phase climatology. Differences between these methods were quantified by studying seasonally averaged liquid water phase ratio; the skill of the methods was assessed using weighted correlation coefficients between daily liquid water phase ratio from SEVIRI and ground-based observations. For the temperature thresholding methods, using the commonly used threshold of 260 K, the difference in liquid water phase ra...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
The role of clouds remains the largest uncertainty in climate projections. They influence solar and ...
Cloud phase datasets obtained from the Spinning Enhanced Visible and Infra Red Imager (SEVIRI) based...
METEOSAT-8 is the first European satellite with the potential to provide accurate spatial distributi...
This thesis presents the retrieval, evaluation, and application of cloud physical property datasets ...
Accurate and long term information on the physical properties of clouds is required to increase our ...
To investigate the characteristics of Spinning Enhanced Visible and Infrared Imager (SEVIRI)-derived...
Abstract. The evaluation of the diurnal cycle of cloud properties as predicted by climate models rec...
The role of clouds remains the largest uncertainty in climate projections. They influence solar and ...
To investigate the characteristics of Spinning Enhanced Visible and Infrared Imager (SEVIRI)-derived...
International audienceA new technique to identify mixed-phase clouds but also clouds with supercoole...
International audienceA new technique to identify mixed-phase clouds but also clouds with supercoole...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
Validation of cloud properties retrieved from passive spaceborne imagers is essential for cloud and...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
The role of clouds remains the largest uncertainty in climate projections. They influence solar and ...
Cloud phase datasets obtained from the Spinning Enhanced Visible and Infra Red Imager (SEVIRI) based...
METEOSAT-8 is the first European satellite with the potential to provide accurate spatial distributi...
This thesis presents the retrieval, evaluation, and application of cloud physical property datasets ...
Accurate and long term information on the physical properties of clouds is required to increase our ...
To investigate the characteristics of Spinning Enhanced Visible and Infrared Imager (SEVIRI)-derived...
Abstract. The evaluation of the diurnal cycle of cloud properties as predicted by climate models rec...
The role of clouds remains the largest uncertainty in climate projections. They influence solar and ...
To investigate the characteristics of Spinning Enhanced Visible and Infrared Imager (SEVIRI)-derived...
International audienceA new technique to identify mixed-phase clouds but also clouds with supercoole...
International audienceA new technique to identify mixed-phase clouds but also clouds with supercoole...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
Validation of cloud properties retrieved from passive spaceborne imagers is essential for cloud and...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
To understand and model the radiative transport in a cloudy atmosphere information on the cloud heig...
The role of clouds remains the largest uncertainty in climate projections. They influence solar and ...