SCatterometer InstRument Competence Centre
SCIRoCCo runs an educational program aimed at fostering the next-generation Scatterometer community. Grants, stages, and training initiatives related to scatterometer data exploitation and evolution have been set up with special consideration to proposals and activities based on Scatterometry and showing innovation and cross-domain applicability (eg Land, Oceanography...).
Scatterometer - Presentation and Video Lessons
Author: Tim Bijsterbosch (KNMI, 2016)
Validity of ERA-Interim for tropical hurricanes over the course of time is examined. ERA-Interim is a reanalysis which uses one of the leading weather prediction models to reforecast the state of the atmosphere several times per day. This means that the only thing that changes the way ERA-Interim calculates these reforecasts are the input measurements used as initial state, which improves in quantity and quality with time. To examine if the validity of ERA-Interim for tropical hurricanes also improves with time the 10 m height wind product modeled by ERA-Interim will be compared to 10 m height wind product derived from satellite observations over a period of time. The satellite observations which are used are from the ERS-2 (1996 – 2001) and ASCAT ( 2007 – 2014) scatterometers.
Author: Khaoula Hmamouche (RMA, 2015)
Abstract: The primary objective of the scatterometer is to determine the wind fields over oceans using empirical Geophysical Model Functions (GMF). These models are only valid over open sea, they are not valid over land and sea-ice. Land is easily discarded using land masks. Over sea-ice it is more difficult to discriminate open water and the ice due to the dynamic extent of the sea-ice which result from the freezing and melting through the seasons. So as to remove spurious wind vectors we have to discriminate the sea and the ice at a real time.
Author: Federica Aveta (SERCO/Sapienza/KNMI, 2016)
Abstract: Rain effect can distort the signal and cause errors in the wind retrieval. In fact, rain modifies the measured radar cross section in several ways and the most important rain effects are the splash effects and the atmospheric effects. Rain modifies the ocean surface by impinging on it with an increase of the surface roughness due to the generation of the ring waves and with an induced wave damping due to the generation of an upper turbulence layer. Meanwhile rain modifies the scatterometer signal when it passes through the atmosphere by attenuating it and by increasing the signal due to volume scattering.
Author: Dorothea Ko (TU Wien, 2016)
Abstract: Soil moisture is a crucial driver for many physical, chemical and biological processes and feedback loops taking place at the land surface and within the atmosphere. Thus soil moisture becomes an important parameter to understand and forecast earth climate changes and was added to the list of Essential Climate Variables (ECV) in 2010. A feasible global implementation of soil moisture retrieval is the physically motivated empirical change detection method developed at TU-Wien (Wagner, Lemoine, et al., 1999; Wagner, Noll, et al., 1999).
Title: Comparison of satellite soil moisture products, models and on-site observation by triple / quadruple collocation including ERS-ESCAT data over H-SAF region (Europe) and "globally" (for ESCAT regional scenario)
Author: Fabio Fascetti (TU Wien/SERCO/Sapienza, 2016)
Abstract: The first part of this research activity was carried out at the Technical University of Wien (TU Wien, Research Group Remote Sensing, Department for Geodesy and Geoinformation) for a period of three months, starting by March 2016, and it was continued at Sapienza University of Rome, until August 2016. The managing institution was Serco S.p.A. and Sapienza University. The aim of this work was to assess the quality of soil moisture products provided by active and passive satellite sensors, as ERS-2 ESCAT and SMOS data, in order to consolidate current methodologies for scatterometer data processing and calibration. For such purpose, several techniques, as Triple (TC) and Quadruple (QC) collocation, were used.
Author: Romina Messner (TU Wien, 2016)
Abstract: This activity focuses on the evaluation and comparison of three different soil moisture products over the USDA Watershed in the period from January 2010 to July 2011. Soil moisture products investigated in this study are derived from: the Soil Moisture Ocean and Salinity (SMOS) mission, the scatterometer (ESCAT) on board of the European Remote Sensing Scatterometer (ERS-2) and in-situ stations. For the scatterometer are used data products at nominal resolution (~50km) and at high resolution (~25km) developed by TU Wien, and for the radiometer are used the data developed with processor version v620. The in-situ stations data have been downloaded from the International Soil Moisture Network (ISMN, https://ismn.geo.tuwien.ac.at/) and Natural Resources Conservation Service (NRCS, http://www.nrcs.usda.gov/wps/portal/nrcs/site/national/home/), without considering the soil moisture products at Hawaii islands.
Author: Ivano Rossicone (TU Wien/SERCO/Sapienza, 2016)
Abstract: This activity focuses on the evaluation and comparison of three different soil moisture products over the USDA Watershed in the period from January 2010 to July 2011. Soil moisture products investigated in this study are derived from: the Soil Moisture Ocean and Salinity (SMOS) mission, the scatterometer (ESCAT) on board of the European Remote Sensing Scatterometer (ERS-2) and in-situ stations. For the scatterometer are used data products at nominal resolution (~50km) and at high resolution (~25km) developed by TU Wien, and for the radiometer are used the data developed with processor version v620.