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Improvement of ADMs
Angular Dependence Models                                                                                                                                                            
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This is a highly ambitious study on improvement of angular dependence models that requires a very broad range of expertise to make effective use of current knowledge. The consortium includes expertise on broad-band radiometers instrumentation issues, climate and radiative transfer modelling, satellite data analysis, Earth radiation budget studies, atmosphere/clouds/surface parameters retrieval, etc.

 The project is split in four tasks. First three tasks comprise the core of the work to be carried out, and the forth task corresponds to the review of the work and issue of conclusions and recommendations.

 To accomplish the objectives proposed in the first three tasks, the work is planned by a close interaction between experimental and theoretical results. The first task (Selection of a Representative Dataset) is devoted to the construction of a database from satellite data. Best current sources have been selected, which include broad-band sensors with along-track capabilities, like CERES, sensors with multi-view capabilities, like POLDER, AATSR or MISR, as well as high spatial resolution sensors (as compared to broad-band sensors), like SEVIRI, AVHRR and MODIS. The second task (Scene Definition) defines the scenes upon which the angular models will be built, by taking into account information provided by the statistical analysis of real data, and realistic 3D radiative transfer simulations. The simulations will have several roles along the study, among which the most important ones correspond to the study of the impact of 3D effects in the inversion and the base for the development of a multi-view inversion methodology. With that methodology, developed as part of task 3 (ADMs, BRDFs and surface albedo), and based on the database generated in task 1 and on information from 3D simulations, angular models optimised for along-track sensors will be constructed and a study on their performance will be reported.

 As well as constructing angular models and identifying gaps in knowledge, recommendations regarding specifications for future broad-band radiometers will also be given in task 4 (Conclusions and Recommendations).

  • REMOTE SENSING INSTRUMENTS
  • CONSORTIUM




Definición de proceso de datos de la misión espacial SMOS en la estación de Villafranca del Castillo
SMOS (Soil Moisture and Ocean Salinity)                                                                                                                                       
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SCALES
(SEVIRI&GERB Cal/Val Area for Large-scale field ExperimentS)
                                                                                
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The principal objective of SCALES is to exploit the unique opportunity presented by the launch of the first European METEOSAT Second Generation geostationary satellite (MSG-1), to generate and validate new radiation budget and cloud products provided by the GERB instrument. SCALES’ specific objectives refer to i) the definition and characterisation of a low-resolution reference pixel compatible to GERB pixel size, ii) the validation of top of the atmosphere GERB radiances, as well as fluxes derived by means of bidirectional models, iii) the development of algorithms for the estimation of surface net radiation from the top of the atmosphere measurement, and iv) the development of accurate methodologies to measure radiation flux divergence and for the analysis of its influence on the thermal regime and the dynamics of the atmosphere, also by using GERB data.

 The Research Group of SCALES is composed of the Climatology from Satellites Group (University of Valencia), the Remote Sensing Group of the Polytechnic University School of Manresa, researchers from the Regional Meteorological Center of Valencia of the Spanish Institute for Meteorology, and also two of the centers that have contributed to the design, building and calibration of GERB, namely the Department of Atmospheric Physics (Imperial College of Science Technology and Medicine) and the Royal Meteorological Institute of Belgium.

 SCALES is highly innovative because it focuses on a new type of space instrument, develops a new validation methodology specific for low resolution sensors that is based on the use of a robust reference meteorological station (Anchor Station) around which, on top of that, three-dimensional high resolution meteorological information obtained from the Numerical Meteorological Model MM5 is included.




Reference Meteorological Station for Remote Sensing data and products and Climate Change studies
Anchor Station
                                                                                                                                                                                       
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The main objective of the Valencia Anchor Station is to define and characterise a large, reasonably homogeneous and flat area, mainly dedicated to vineyards, as reference for Calibration/Validation activities in low-resolution large-scale pixel size satellite sensors. It is desirable that the Valencia Anchor Station area,  could define that region, in order to be able to account with a minimum number of large size pixels of the order of 50 x 50 km2. To get this characterisation, an area of about 50 km wide around the actual Valencia Anchor Station site will be selected, where to design and carry out a number of distributed measurements of soil moisture content, soil temperature, surface temperature, reflectance, albedo, and net radiation and together with some other meteorological parameters.

 Valuable requirements for a test site are the information on the area, basic documentation, availability of retrospective measurements and maintenance and attention to the site. These conditions are especially accomplished for the Valencia Anchor Station.

 With no doubt, the large size of the reference pixel, makes it necessary to study in detail the change of scale processes to be able to compare measurements with different scales, namely point measurements, aircraft observations, remote sensing images with different spatial resolution, etc., and establish criteria for aggregation and disaggregation to get different area averages and validate large scale pixels.
Similarly, time interpolation, that is, handling the time dependent diurnal cycles or getting monthly averages of surface temperature, solar zenith angle albedo dependence, and cloud property diurnal cycles.