Satellite skills and knowledge for operational meteorologist
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Presentation giving an overview on the use of satellite data, particularly that from Meteorological satellites, for monitoring vegetation cover and properties.
The current presentation gives an overview on the use of satellite data, particularly that from Meteorological satellites, for monitoring vegetation cover and properties. Some basic physical principles are first presented and then some RGB images are shown, allowing to identify different features in the surface of the earth. Further information on vegetation is given by a wide range of empirical indices, from which one of the most used is the NDVI. There are however some disadvantages on using such vegetation indices. Other parameters more related to vegetation properties and health than these conventional empirical indices are available from the LSA SAF. These are the Fractional Vegetation Cover (FVC), the Leaf Area Index (LAI) and the Fraction of Absorbed Photosyntetically Active Radiation (fAPAR). The algorithm rationale for deriving such parameters is explained and some validation results are presented. Finally, the use of these products in several applications is shown.
Discussion is held on various techniques of mapping burnt areas from remotely sensed data, describing the main sources of errors and strategies to overcome them.
Discussion is held on various techniques of mapping burnt areas from remotely sensed data, describing the main sources of errors and strategies to overcome them. Focus of first part of this session is so-called Fire Detection and Monitoring (FD&M) product, which provides continuous monitoring of fire activity over Africa and Europe. This product relies on Fire Detection Algorithm called FiDAlgo (based on so-called contextual algorithms), is an operational procedure that allows active fire detection in near-real-time and is based on information from Meteosat-9, i.e. SEVIRI instrument.
The second part will present applications to the analysis of burnt scars and vegetation recovery, with case studies for the Iberian Peninsula. Operational product for tracking burnt areas LSA-SAF still doesn't have, but presentation gives perspective of rising such. Very simple model for post-fire vegetation recovery is presented and are shown correlations between post fire vegetation recovery dynamics and severity of fire damage.
This presentation gives various applications of LSA SAF radiation products that we can find in four production areas for MSG satellite.
This presentation gives various applications of LSA SAF radiation products that we can find in four production areas for MSG satellite; Europe, Northern Africa, Southern Africa and Southern America. Firstly, variability (both seasonal and spatial) that we can find in albedo fields are discussed together with signatures, or features you can look for in LST fields. Relations between LST and vegetations, which comes from the fact that vegetation is controlling temperature by means of evapotranspiration are also shown here. Another application of radiation product is diagnose of various models via land surface temperature. At the end of presentation there are some words about long-wave and shot wave surface radiation budget, which are strongly influenced by clouds at seasonal scale.
Presentation on the physical principles and algorithms underlying the retrieval of Land Surface Temperature (LST) and emissivity from satellite observations.
The first block of this session presents the physical principles and algorithms underlying the retrieval of Land Surface Temperature (LST) and emissivity from satellite observations. Both geostationary, GEO (MSG) and low-orbit, LEO (Metop) satellite advantages and disadvantages are discussed. Emphasis of the presentation is on the methodologies used by LSA SAF for deriving these LST and emissivity products. The presentation also gives focus on the assessment of the uncertainty associated to the retrievals and respective validation is given.
Second part of this presentation is dedicated to algorithms used in the estimation of one of the components of the surface radiation budget - Down-welling Surface Long-wave Fluxes, i.e. DSLF. This product is derived from MSG SEVIRI instrument within LSA SAF. Problematics of firs 100m atmosphere long-wave radiation is also well discussed. Presented are examples and validation results that put into evidence the strengths and caveats of this product. Current Status and further developments (CDOP2) will follow.
Powerpoint: Land Surface Temperature
Powerpoint: Surface Radiation Budget
Presentation divided into three parts; general description of LSA SAF; applications of LSA SAF products ; and the way foward, i.e. perspectives of LSA SAF.
This session is a wrap up of all applications of the LSA SAF products, feedback from users (annual revision by technical and scientific review panels), lessons learned and roadmap for the next phase (2012-2017).
The presentation is divided into three parts; general description of LSA SAF; applications of LSA SAF products ; and the way forward, i.e. perspectives of LSA SAF.
Presentation during the event week on Snow in January 2010.
Hannes Rieder from ZAMG, Austria who will provide a presentation on the interesting forecasting challenges associated with avalanches in Styria.
Presentation during the event week on Snow in January 2010.
Steinar Eastwood will present the operational Sea Ice products from the Ocean and Sea Ice Satellite Application Facility, both scientific and technical. Ongoing activities to improve the current products and develop new will be discussed and some examples of how the products are used will be shown.
Presentation during the event week on Snow in January 2010.
Jouni Pulliainen from FMI will present research results and snow products for climate research purposes.
Another speaker from FMI, Panu Lahtinen, will give a short overview of the four snow products being developed in the Eumetsat Satellite application facility on water management and hydrology (H-SAF). The ongoing developments on these products are discussed, and the future goals are shown. Also, some validation results will be shown.
Presentation during the event week on Snow in January 2010.
Niilo Siljamo (FMI, Finland) will introduce the snow cover product (SC) based on MSG/SEVIRI. He will describe the main parts of the algorithm with attention to various cases of snow cover.
In the second part, Nuno Moreira (IM, Portugal) will talk about snow products derived from MSG during the unusual snow events that have occurred in Portugal between November 2008 and February 2009.
Presentation during the event week on Snow in January 2010.
Izolda Marcinoniene will present a case study. According to Lithuanian criteria for meteorological phenomena it was a local-scale catastrophic event that affected the city of Nida, located on Baltic coast. Based upon the physical parameters of the atmosphere and the satellite information obtained, the situation was typical for Comma cloud. The main features and reasons for development of this catastrophic heavy snow event will be presented using detailed information such as vertical cross-sections, tephigrams and various satellite images.
The second talk will be presented by Natasa Strelec Mahovic from the Croatian Meteorological Service (DHMZ). DHMZ will give a presentation on the forecast and analysis of heavy snowfall in Croatia in February 2009, when snow was recorded even on the remote islands in Southern Croatia!
Presentation during the event week on Warning in October 2010.
Presentation by Nuno Moreira (IM) and Andreas Wirth (ZAMG) on the exceptional summer of 2010 when a large scale crest was covering the two countries. As a result of the exceptional high temperatures and extreme low dew-point temperature the conditions were very dry. This resulted in a wide amount of forest fires. Within the high pressure and the lack of a governing flow the smoke caused many problems to Moscow.
Presentation during the event week on Warning in October 2010.
Presentation by the LSA SAF by Carla Barroso on the Fire Radiative Power product which was developed and is used by IM (Portugal) assessing the risk of forest fires.