Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021
Data sets from 2 instruments installed at Concordia station (Antarctica): a LIDAR and a microwave radiometer The database contains original data collected between 2014 and 2021 at the Concordia Station (Dome-C, Antarctica, 75°S, 123°E) using three automatic instruments: 1) A flatbed scanner (ICECAME...
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Online Access: | https://hal.science/hal-04297133 https://doi.org/10.5281/zenodo.8427614 |
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ftinsu:oai:HAL:hal-04297133v1 2023-12-24T10:10:16+01:00 Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 del Guasta, Massimo Ricaud, Philippe Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2023 https://hal.science/hal-04297133 https://doi.org/10.5281/zenodo.8427614 en eng HAL CCSD Zenodo info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.8427614 hal-04297133 https://hal.science/hal-04297133 doi:10.5281/zenodo.8427614 https://hal.science/hal-04297133 2023, ⟨10.5281/zenodo.8427614⟩ snow polar clouds Antarctica LIDAR precipitation Convolutional Neural Network machine learning microwave radiometry image processing [SDE]Environmental Sciences info:eu-repo/semantics/other Other publications 2023 ftinsu https://doi.org/10.5281/zenodo.8427614 2023-11-29T17:23:25Z Data sets from 2 instruments installed at Concordia station (Antarctica): a LIDAR and a microwave radiometer The database contains original data collected between 2014 and 2021 at the Concordia Station (Dome-C, Antarctica, 75°S, 123°E) using three automatic instruments: 1) A flatbed scanner (ICECAMERA) provides information on the shape and size of precipitation on an hourly basis. 2) An automatic depolarization LIDAR provides the height, structure and phase of the cloud that originated the precipitation on a 5-minute basis. The height range for the LIDAR is between 20 and 7000 meters. 3) A microwave radiometer (HAMSTRAD) provides the local temperature at the altitude where precipitation is formed. The combination of three instruments made it possible to "label" each precipitation grain with its size, shape parameters, temperature, altitude of formation, and surface meteorological data. Each yearly DATA_YYYY.rar data set is organized into daily directories, where all valid LIDAR false color plots, HAMSTRAD data, and ICECAMERA images are collected, along with processed numerical data for all the ice grains collected. HYSPLIT back trajectories with Dome-C as the final point are also included. The dataset content is explained in the data legend.doc file MATLAB models.rar includes multiple MATLAB Canonical and SVM models that automatically classify the type of cloud-originating precipitation (at Dome C) based on the relative abundance of different ice grain shapes. Details and instructions for their use can be found in the Legend for MATLAB classifiers.docx document. Other/Unknown Material Antarc* Antarctic Antarctica Institut national des sciences de l'Univers: HAL-INSU Antarctic Concordia Station ENVELOPE(123.333,123.333,-75.100,-75.100) |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
snow polar clouds Antarctica LIDAR precipitation Convolutional Neural Network machine learning microwave radiometry image processing [SDE]Environmental Sciences |
spellingShingle |
snow polar clouds Antarctica LIDAR precipitation Convolutional Neural Network machine learning microwave radiometry image processing [SDE]Environmental Sciences del Guasta, Massimo Ricaud, Philippe Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
topic_facet |
snow polar clouds Antarctica LIDAR precipitation Convolutional Neural Network machine learning microwave radiometry image processing [SDE]Environmental Sciences |
description |
Data sets from 2 instruments installed at Concordia station (Antarctica): a LIDAR and a microwave radiometer The database contains original data collected between 2014 and 2021 at the Concordia Station (Dome-C, Antarctica, 75°S, 123°E) using three automatic instruments: 1) A flatbed scanner (ICECAMERA) provides information on the shape and size of precipitation on an hourly basis. 2) An automatic depolarization LIDAR provides the height, structure and phase of the cloud that originated the precipitation on a 5-minute basis. The height range for the LIDAR is between 20 and 7000 meters. 3) A microwave radiometer (HAMSTRAD) provides the local temperature at the altitude where precipitation is formed. The combination of three instruments made it possible to "label" each precipitation grain with its size, shape parameters, temperature, altitude of formation, and surface meteorological data. Each yearly DATA_YYYY.rar data set is organized into daily directories, where all valid LIDAR false color plots, HAMSTRAD data, and ICECAMERA images are collected, along with processed numerical data for all the ice grains collected. HYSPLIT back trajectories with Dome-C as the final point are also included. The dataset content is explained in the data legend.doc file MATLAB models.rar includes multiple MATLAB Canonical and SVM models that automatically classify the type of cloud-originating precipitation (at Dome C) based on the relative abundance of different ice grain shapes. Details and instructions for their use can be found in the Legend for MATLAB classifiers.docx document. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Other/Unknown Material |
author |
del Guasta, Massimo Ricaud, Philippe |
author_facet |
del Guasta, Massimo Ricaud, Philippe |
author_sort |
del Guasta, Massimo |
title |
Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
title_short |
Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
title_full |
Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
title_fullStr |
Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
title_full_unstemmed |
Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021 |
title_sort |
dataset of in-situ and remote sensing measurements of precipitation in the inner antarctic (dome-c 75°s 123°e) for the years 2014-2021 |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04297133 https://doi.org/10.5281/zenodo.8427614 |
long_lat |
ENVELOPE(123.333,123.333,-75.100,-75.100) |
geographic |
Antarctic Concordia Station |
geographic_facet |
Antarctic Concordia Station |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
https://hal.science/hal-04297133 2023, ⟨10.5281/zenodo.8427614⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.8427614 hal-04297133 https://hal.science/hal-04297133 doi:10.5281/zenodo.8427614 |
op_doi |
https://doi.org/10.5281/zenodo.8427614 |
_version_ |
1786214400228589568 |