Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval
Millimetre-wave radiometers will be on board of the future operational Eumetsat Polar System Second Generation (EPS-SG) satellites with the primary objective to support weather and climate models. These radiometers, and in particular the Ice Cloud Imager (ICI), will provide channels from 183 up to 6...
Main Authors: | , , , |
---|---|
Other Authors: | , , , |
Format: | Conference Object |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/11573/1353731 |
id |
ftunivromairis:oai:iris.uniroma1.it:11573/1353731 |
---|---|
record_format |
openpolar |
spelling |
ftunivromairis:oai:iris.uniroma1.it:11573/1353731 2024-02-04T09:55:45+01:00 Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval Mario Papa Vinia Mattioli Janja Avbelj Frank Silvio Marzano Papa, Mario Mattioli, Vinia Avbelj, Janja Marzano, FRANK SILVIO 2019 http://hdl.handle.net/11573/1353731 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000550769302034 PIERS (PhotonIcs & Electromagnetics Research Symposium( journal:ELECTROMAGNETIC WAVES http://hdl.handle.net/11573/1353731 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85082015232 info:eu-repo/semantics/closedAccess remote sensing radiometer microwave geolocation info:eu-repo/semantics/conferenceObject 2019 ftunivromairis 2024-01-10T18:16:22Z Millimetre-wave radiometers will be on board of the future operational Eumetsat Polar System Second Generation (EPS-SG) satellites with the primary objective to support weather and climate models. These radiometers, and in particular the Ice Cloud Imager (ICI), will provide channels from 183 up to 664 GHz at a spatial sampling of 16 km, greatly enhancing ice cloud retrieval capability at global scale to validate and improve microphysics parameterization. At millimetre wave the emissivity of surface water bodies increases with frequency with values comparable to land targets so that the ICI brightness temperature contrast between water and land itself diminishes. This ICI feature implies that it is not possible to easily discriminate the surface coastlines, usually exploited for imagery geolocation purposes. This work proposes a methodology to evaluate the expected ICI geolocation error using the 183.3 GHz channel. Data from existing conically-scanning radiometers, such SSMIS (Special Sensor Microwave Imager Sounder), are used to emulate ICI observations. The idea is to extract Earth natural targets with an identifiable contour at 183.3 GHz to be compared with a reference one through a cross-correlation technique in the spatial and spectral domains. Such targets are quite rare and detectable only in dry regions/seasons. One of these regions is here found to be the Antarctic coastlines, which can seasonally change their contour due to temperature variations or ice collapses (creating iceberg). For these Antarctic targets, we propose the use of synthetic aperture radar (SAR) images as reference lines, sufficiently accurate for this purpose thanks to their high spatial resolution. To test this methodology the selected areas are the Ross and Ronne ice shelfs from May to September, the driest period in Antarctica. Ice shelfs are thick suspended platforms of ice with a sufficient brightness temperature contrast to extract the contour of the ice coastline. Using SSMIS data, results will be presented showing the ... Conference Object Antarc* Antarctic Antarctica Iceberg* Sapienza Università di Roma: CINECA IRIS Antarctic The Antarctic |
institution |
Open Polar |
collection |
Sapienza Università di Roma: CINECA IRIS |
op_collection_id |
ftunivromairis |
language |
English |
topic |
remote sensing radiometer microwave geolocation |
spellingShingle |
remote sensing radiometer microwave geolocation Mario Papa Vinia Mattioli Janja Avbelj Frank Silvio Marzano Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
topic_facet |
remote sensing radiometer microwave geolocation |
description |
Millimetre-wave radiometers will be on board of the future operational Eumetsat Polar System Second Generation (EPS-SG) satellites with the primary objective to support weather and climate models. These radiometers, and in particular the Ice Cloud Imager (ICI), will provide channels from 183 up to 664 GHz at a spatial sampling of 16 km, greatly enhancing ice cloud retrieval capability at global scale to validate and improve microphysics parameterization. At millimetre wave the emissivity of surface water bodies increases with frequency with values comparable to land targets so that the ICI brightness temperature contrast between water and land itself diminishes. This ICI feature implies that it is not possible to easily discriminate the surface coastlines, usually exploited for imagery geolocation purposes. This work proposes a methodology to evaluate the expected ICI geolocation error using the 183.3 GHz channel. Data from existing conically-scanning radiometers, such SSMIS (Special Sensor Microwave Imager Sounder), are used to emulate ICI observations. The idea is to extract Earth natural targets with an identifiable contour at 183.3 GHz to be compared with a reference one through a cross-correlation technique in the spatial and spectral domains. Such targets are quite rare and detectable only in dry regions/seasons. One of these regions is here found to be the Antarctic coastlines, which can seasonally change their contour due to temperature variations or ice collapses (creating iceberg). For these Antarctic targets, we propose the use of synthetic aperture radar (SAR) images as reference lines, sufficiently accurate for this purpose thanks to their high spatial resolution. To test this methodology the selected areas are the Ross and Ronne ice shelfs from May to September, the driest period in Antarctica. Ice shelfs are thick suspended platforms of ice with a sufficient brightness temperature contrast to extract the contour of the ice coastline. Using SSMIS data, results will be presented showing the ... |
author2 |
Papa, Mario Mattioli, Vinia Avbelj, Janja Marzano, FRANK SILVIO |
format |
Conference Object |
author |
Mario Papa Vinia Mattioli Janja Avbelj Frank Silvio Marzano |
author_facet |
Mario Papa Vinia Mattioli Janja Avbelj Frank Silvio Marzano |
author_sort |
Mario Papa |
title |
Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
title_short |
Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
title_full |
Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
title_fullStr |
Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
title_full_unstemmed |
Geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
title_sort |
geocalibrating millimeter-wave spaceborne radiometers for global-scale cloud retrieval |
publishDate |
2019 |
url |
http://hdl.handle.net/11573/1353731 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Iceberg* |
genre_facet |
Antarc* Antarctic Antarctica Iceberg* |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000550769302034 PIERS (PhotonIcs & Electromagnetics Research Symposium( journal:ELECTROMAGNETIC WAVES http://hdl.handle.net/11573/1353731 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85082015232 |
op_rights |
info:eu-repo/semantics/closedAccess |
_version_ |
1789959871614943232 |