Identify cloud types and their characteristics
Anna Eronn gives an overview on the NWC-SAF PPS products and their applications, Thomas Heinemann presents the Eumetcast system.
The PPS package for Polar orbiting satellites produces Cloud Products for NOAA, METOP and the NPP-Suomi satellites. Products available are Cloud mask (CM), Cloud Type (CT), Cloud Top Temperature and Height (CTTH) and Cloud Physical Properties (CPP) during day CPP validated outputs are cloud phase and cloud liquid water path, as well as the auxiliary output fields cloud optical thickness, effective droplet radius and ice water path.
While the software package was originally aimed at producing NWC products for local satellite receiving stations, a subset of cloud products (CT and CTTH) are now also available in near real time via EUMETCAST within the NWC-EARS service.
In a second talk, Thomas Heinemann will present the EARS-NWC service. Data from the SAFNWC PPS package are computed at EUMETSAT headquarter and distributed via Eumetcast service to end-users.
Aynur Sensoy Soman discusses a blending approach to use SE-E-SEVIRI(H10) data together with Sentinel-2 and MODIS into a real-time, operational cryosphere modelling chain.
Increasing satellite technology offers new products for hydrological applications. The validation process is crucial for these products before they are used in operational applications. The validation of satellite data sets can be done through the direct comparison with ground truth data or a reference satellite data. Another, indirect approach consists in using these datasets in models with different complexities and assess the realism of modelled outputs (so called “Hydro Validation”). EUMETSAT H SAF project provides daily snow products on snow recognition, fractionalsnow cover, snow status and snow water equivalent over complex topographies changing from flat land to mountainous areas.
In this this first part, we will discuss a blending approach to use SE-E-SEVIRI(H10) data together with Sentinel 2 and MODIS into a real-time, operational cryosphere modelling chain (S3M-Italy). We will compare open-loop simulations with simulations obtained assimilating H10 data to discuss the added value of this product for real time forecasting.
Although may considered as the answer to all problems, satellite also come with some limitations. In this lecture one such limitation "Parallax Shift" is explained.
Although may considered as the answer to all problems, satellite also come with some limitations. In this lecture one such limitation, Parallax Shift is explained, and how you have to take this into account. Fortunately there are some solutions available to overcome this problem, which are also explained by Martin Setvak (CHMI).
The Physical Retrieval algorithm of NWC SAF retrieves the atmospheric temperature and moisture profiles as well as surface skin temperature.
The SEVIRI Physical Retrieval (SPhR) algorithm retrieves the atmospheric temperature and moisture profiles as well as surface skin temperature for one clear sky SEVIRI pixel, or a Field-Of-Regard (FOR) with contains M x M pixels. The central aim of the SPhR is to provide information on the water vapor contained in a vertical column of unit cross-section area in several layers in the troposphere and to provide some instability indices. These parameters are calculated from the retrieved profiles of temperature and humidity.
Presentation on the use of the MPEF Divergence Product for diagnosing the divergence associated with upper-level wind field disturbances that produces forcing for ascent and favours the development of deep moist convection.
Presentation by Christo Georgiev during the Event Week on Convection in June 2011. The presentation concentrates on the use of the MPEF Divergence Product for diagnosing the divergence associated with upper-level wind field disturbances that produces forcing for ascent and favours the development of deep moist convection.
Webcast on the detection and monitoring of convective storms by using MSG imagea and products.
Aydin Erturk (TSMS) present on the "Detection and Monitoring Convective Storms by Using MSG Image and Products". The MSG SEVIRI is crucial data source for the nowcasting applications. Storm top features with IR imagery were well defined and published. MSGView software being operationally used for detection and monitoring convective storms at Turkish State Meteorological Service. Two case studies (a cold U/V and a cold ring shape) were demonstrated and discussed in this presentation.
Webcast on the use of IR8.7 for the detection of deep moisture convection.
Presentation given by Thomas Krennert (ZAMG) on the use of the IR8.7 channel for the detection of deep moisture convection (DMC) on marked WV boundaries.
The EUMETCAL High Impact Weather group addressed a series of convective events over Europe during the summer 2010.
The EUMETCAL High Impact Weather group addressed a series of convective events over Europe between 5 and 9 August 2010. This events affected many countries from southern areas - Mediterranean/Balkans - to northern areas - Baltic/Scandinavia. In the 30 minute presentation the group analyzed the events, combining the analysis of convection, namely by satellite, with the impacts perspective.
Presentation with results on the occurences of overshooting tops in convective clouds in relation to severe weather.
Presentation given during the Convection Week 2011 by Petra Mikus, a young researcher from the Croatian Meteorological and Hydrological Service DHMZ. The presentation presents results on the occurrences of overshooting tops in convective clouds in relation to severe weather in Austria, Slovenia and Croatia.
Convective clouds can be characterized by three cloud top properties that can be detected by satellites and represented by respective tree RGB components which are discussed in the presentation.
Convective clouds can be characterized by three cloud top properties that can be detected by satellites and represented by respective tree RGB components;
1. Visible brightness, reflecting more solar radiation for thicker clouds with more water and ice (associated with RED color on RGB composites),
2. Cloud particle size and phase (water or ice), having larger drops with greater depth (associated with GREEN color on RGB composites).
3. Temperature, lover for higher tops (associated with BLUE color in RGB composites).
Microphysical processes within the clouds are specially discussed in this lecture, because they present great importance to the net reflectance of the clouds. Various combinations can be made of all the satellite channels to produce desired RGB combination (e.g. Airmass RGB and Dust RGB product) in order to track properties of interest like formation of fog, drizzle, rain clouds, intensive convective storms, etc. This presentation is given by Daniel Rosenfeld from Hebrew University of Jerusalem, Institute of Earth Sciences.
Because we don't know if the cloud observed from satellite is reaching ground or not, it is unrealistic to clam that we can identify fog only using satellite data.
Because we don't know if the cloud observed from satellite is reaching ground or not, it is unrealistic to clam that we can identify fog only using satellite data. Therefore presenter of this lecture is not presenting fog mapping derived only from satellite. Instead he is revealing cloud products extracted from MSG SEVIRI satellite imagery using NWCSAF software, concentrating on the fog or low level clouds category. Lecture is starting with some basic information about SAF nowcasting. After that main features of SAFNWC/MSG cloud algorithms, CM a (cloud mask), CT (cloud type) and CTTH (cloud top temperature and height) are given, step by step with validation results. Also there are examples with fog or low-level clouds situations, including example of automatic use for fog risk mapping.
Presentation on how to discriminate levels of dust and what are the global impacts of dust outbreaks.
Dust is a global issue with it\'s good and also less good sides. There are hundreds or even thousands of places on Earth where the dust can be lifted, nevertheless you need to have a dust source to create a dust outbreak. And these are indeed two needed ingredients for lifting dust in the air that must come together; strong surface winds (requires about 15 knots) and dust source (or hotspots). MSG satellite helps a lot to do much better hot spot climatology, and for that, product called Dust Microphisics RGB is widely used. It is derived from three MSG spectral channels. Red color corresponds to difference of channels IR12.0 and IR10.8, green color to the difference of channels IR10.8 and IR8.7 and blue color to the sole IR10.8 channel. In addition to this product Natural Color RGB is also used, but mostly for detection of dust outbreak over the ocean. In this lecture Jochen Kerkmann, from EUMETSAT, will try to describe dust source regions and dust climatology, how to detect better dust on satellite images, how to discriminate levels of dust and what are the global impacts of dust outbreaks. Also he will mention topics like synoptic patterns and diurnal cycles of dust outbrakes, cloud-dust interaction, forecasting of dust movement and will give a list of typical mesoscale phenomena that can cause dust outbreaks.