Satellite skills and knowledge for operational meteorologist
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Conceptual models are everywhere around us, even in our heads. Human brain as it is, can store lot of impressions but processing these informations can be a big problem.
Conceptual models are everywhere around us, even in our heads. Human brain as it is, can store lot of impressions but processing these informations can be a big problem. That is why we need conceptual models in everyday communication to know what do others even talking about. All the model data, satellite data, observations, radar data, etc. require good processing of one forecaster so he can cope with all this informations - that is where conceptual model fits in. Very chaotic processes in the atmosphere are today reduced to a smaller number of conceptual models, for the aim of better understanding of whole atmosphere. In this one hour presentation Ab Maas , is introducing manual of conceptual models called Manual of synoptic satellite meteorology (Satmanu). This project started in 1995 and until now there were more than 50 conceptual models described in it, still now maintenance and updating of new models is present. Some of the features and examples of conceptual models are brought in this lecture.
Lecture starts with explanation of Vegetation monitoring and some applications of Vegetation products, such as NDVI index, FVC index, LAI and FAPAR indices.
The new generations of sensors on board meteorological satellites (SEVIRI -MSG, ASCAT -EPS, etc. ) enabled a whole new range of products related to the properties of the surface. Applications of such products are great. Some of them are; Vegetation monitoring, Wild Fires detection, Floods and Heat waves monitoring, detection of Urban heat islands, Crop water requirements, etc.
Lecture starts with explanation of Vegetation monitoring and some applications of Vegetation products, such as NDVI index, FVC index, LAI and FAPAR indices. After that Evapotranspiration parameter and Reference evapotranspiration overview is given. And at the end Land surface temperature is observed and various applications of this product are discussed.
Scatterometer is a main instrument that is gathering information on ocean winds. It is a radar instrument mounted on a satellite.
Another presenter from the OSI SAF, Anton Verhoef (KNMI), did a lecture on Wind products which are closely related to the concept of scatterometry. Scatterometer is a main instrument that is gathering information on ocean winds. It is a radar instrument mounted on a satellite. In this lecture the explanation of principle of scatterometry is given along with explanation of deriving wind fields from scatterometer data. Also there is brief overview of currently available wind products and of tools and methods which are available for visualisation and monitoring of the information. At the end of presentation some words will be given about Quality information and Data formats.
To track and measure sea ice motion and concentration, Passive microwave imagers are used (SSM/I or AMSR-E). These instruments are measuring emitted radiances from below.
Thomas Lavergne from Norwegian Meteorological Institute is presenting the work that has been done within OSI SAF on Sea Ice Applications. General physical role of the sea ice in Earth\'s system we can look through the radiation. In winter time sea is relatively warmer than atmosphere and when sea ice is present it acts like cover to the sea radiation. On the breaking points of ice thus there is suddenly transfer of moisture and heat from the sea to atmosphere, both sensible heat and radiation. This process is responsible for cloud formation and the weather conditions overall. So for (e.g. ship) safety, weather prediction, climate monitoring or ecosystem studies the information on sea ice coverage is crucial. To track and measure sea ice motion and concentration, Passive microwave imagers are used (SSM/I or AMSR-E). These instruments are measuring emitted radiances from below. Thus they don\'t need solar light and can operate both day and night.
Presentation on OSI SAF radiative fluxes Products and Services.
This short presentation on OSI SAF radiative fluxes Products and Services is given by Pierre Le Borgne from Meteo-France. Two main products that are described here are Surface Solar Irradiance (SSI) product and Downward Longwave Irradiance (DLI) product. For SSI product, physical parametrization is applied and for DLI product bulk parametrization. What is derived from satellite is the visible channel for SSI and cloud precipitation DLI. Hourly SSI and DLI products and the flux validation results are also shown in this lecture.
A weather front is a boundary separating two masses of air of different temperatures and humidity, thus different densities.
A weather front is a boundary separating two masses of air of different temperatures and humidity, thus different densities. They are often connected to a significant phenomenon such as showers and thunderstorms, and more generally to instability of the atmosphere. This lecture is based on two frontal structure types - Cold and a Warm font. In Satmanu there are five types or conceptual models related to Cold front; Arctic Cold Front, Cold Front (divided into Ana and Kata types), Cold Front in Cold Advection, Cold Front in Warm Advection and a Split front. Among Warm Front features there are; Detached Warm Front, Warm Front Band and a Warm Front Shield. In Satrep manual there are five chapters on each of above mentioned features; Cloud Structure in Satellite Images, Meteorological Physical Background, Key Parameters, Typical Appearance in Vertical Cross Sections and Weather Events. Ab Maas, will try to introduce these chapters to you, dealing with above mentioned types of Cold and Warm fronts.
Presentation on how do occlusion cloud bands look like in different satellite images and which processes take place in the troposphere that lead to what we see.
This lecture is somehow extension of previous lecture in the satellite course, and is given by Dr. Veronika Zwatz-Meise. She is speaking about Occlusions. There are five features connected to them and these are; Back-Bent Occlusion, Cold Air Development, Instant Occlusion, Cold Conveyor Belt Type and a Warm Conveyor Belt Type of Occlusion. Presentation is constructed in a way that first there is an explanation of how do occlusion cloud bands look like in different satellite images. Question of processes that take place in the troposphere that lead to what we see in satellite images is also discussed. After that meteorological numerical parameters that describe the occlusion processes in a best way are observed (both on isobaric and isentropic surfaces). And at the end answer to a question "Which special developments at/with occlusion cloud bands take place during their life cycle?" are answered.
Presentation on the substructures in fronts and initial stages of cyclogenesis.
This one hour presentation on Frontal Structures, brought by Andreas Wirth from ZAMG, is following content of chapter called "Substructures in fronts and initial stages of cyclogenesis", from Satmanu manual. But not all features under this chapter will be discussed. Lecture starts with Front Decay and Front Intensification by Jet Crossing. These are two very similar conceptual models but they show the opposite effect. This is followed by Upper Wave and Wave. Presenter will show these two conceptual models together to see the differences or the common features between them. Finally, presentation finishes with Secondary Low Centres in Occlusion Cloud Bands, which is feature easy to detect and not very complicated conceptual model.
Sea surface temperature (SST), defined as one of the essential climate variables, has a key role in climate research and weather prediction by representing the boundary condition for both the ocean and the atmosphere.
Sea surface temperature (SST), defined as one of the essential climate variables, has a key role in climate research and weather prediction by representing the boundary condition for both the ocean and the atmosphere.
This presentation shows how the SST is retrieved from satellite observations and its main retrieval errors, the instruments and satellites used in its retrieval and the main SST applications. At the end, a brief overview of the future satellite SST-related missions is given.
Scatterometer winds are used by all major NWP centres and by the oceanographic community. At KNMI high resolution ASCAT scatterometer data is assimilated in the NWP High-Resolution Limited Area Model (HiRLAM).
Over the last years the processing of ERS scatterometer winds has been refined. Subsequently, High Resolution Limited Area Model, HIRLAM, and ECMWF model data assimilation experiments have been carried out to assess the impact of one scatterometer, ERS-1 and of two scatterometers, ERS-1 and ERS-2, on the analyses and forecasts. We found that scatterometer winds have a clear and beneficial impact in the data assimilation cycle and on the forecasts. Furthermore, ECMWF has shown that ERS scatterometer data improve the prediction of tropical cyclones in 4Dvar, where unprecedented skillful medium-range forecasts result of potential large social-economic value. Nevertheless, scatterometer winds contain much sub-synoptic scale information where the smallest scales resolved are difficult to assimilate into a Numerical Weather Prediction, NWP, model. This is mainly due to the otherwise general sparsity of the observing system over the ocean. In line with this it is found that scatterometer data coverage is very important for obtaining a large impact. In that respect future scatterometer systems such as SeaWinds on QuikSCAT and ADEOSII, and ASCAT on EPS are promising.
Satellite based scatterometers provide high resolution all-weather wind vector fields over the seas. Wind speed and wind direction are provided at high accuracy under all weather conditions.
Scatterometers uniquely define the mesoscale wind vector field at the sea surface by measuring the radar backscatter signal from wind-generated cm-sized, so-called gravity-capillary sea waves. Because of the wavelength (5 cm), the signal of ASCAT is not affected by rain, and is therefore an "all-weather" system.
The all-weather capability of the ASCAT scatterometer provides unique wind field products of the most intense and often cloud-covered wind phenomena, such as polar front disturbances and tropical cyclones. As such, it has been demonstrated that scatterometer winds are extremely useful in the prediction of extra-tropical and tropical cyclone). Moreover, high-resolution near-surface winds as provided by scatterometers are very relevant because these winds drive the ocean water circulation, which in turn plays a major role in the climate system and in marine life and its exploitation (e.g., fishery).
Presentation about satellite images of phytoplankton chlorophyll in the North Atlantic.
Presentation about satellite images of phytoplankton chlorophyll in the North Atlantic. André Valente introduces how phytoplankton chlorophyll is measured from space, describing the spatial and temporal patterns observed in the satellite images and identify the physical processes responsible for the observed variability.
The most important light-absorbing substance in the oceans is chlorophyll, which phytoplankton use to produce carbon by photosynthesis. Due to this green pigment - chlorophyll - phytoplankton preferentially absorb the red and blue portions of the light spectrum (for photosynthesis) and reflect green light. So, the ocean over regions with high concentrations of phytoplankton will appear as certain shades, from blue-green to green, depending upon the type and density of the phytoplankton population there. The basic principle behind the remote sensing of ocean color from space is this: the more phytoplankton in the water, the greener it is....the less phytoplankton, the bluer it is.