Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE).
Dataset abstract Scattered sunlight measurements can be strongly affected by clouds, mainly due to multiple scattering effects that give rise to large uncertainties in the light path retrieval. In order to estimate cloud cover, we recorded images of the sky every 5 minutes to evaluate a cloud index,...
Main Authors: | , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Zenodo
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.3827444 https://zenodo.org/record/3827444 |
id |
ftdatacite:10.5281/zenodo.3827444 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.3827444 2023-05-15T13:40:31+02:00 Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). Benavent, Nuria Garcia-Nieto, David Cuevas, Carlos Alberto Saiz-Lopez, Alfonso 2020 https://dx.doi.org/10.5281/zenodo.3827444 https://zenodo.org/record/3827444 en eng Zenodo https://zenodo.org/communities/spi-ace https://dx.doi.org/10.5281/zenodo.3827443 https://dx.doi.org/10.5281/zenodo.3483166 https://dx.doi.org/10.5281/zenodo.1443511 https://dx.doi.org/10.5281/zenodo.3827445 https://zenodo.org/communities/spi-ace Open Access Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/openAccess CC-BY halogens atmosphere cloud cover web camera Southern Ocean Atlantic Ocean Antarctic Circumnavigation Expedition ACE dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.3827444 https://doi.org/10.5281/zenodo.3827443 https://doi.org/10.5281/zenodo.3483166 https://doi.org/10.5281/zenodo.1443511 https://doi.org/10.5281/zenodo.3827445 2021-11-05T12:55:41Z Dataset abstract Scattered sunlight measurements can be strongly affected by clouds, mainly due to multiple scattering effects that give rise to large uncertainties in the light path retrieval. In order to estimate cloud cover, we recorded images of the sky every 5 minutes to evaluate a cloud index, from 0 (clear sky) to 10 (completely overcast). This dataset presents the sky images in PNG (Portable Network Graphics) format recorded on board the R/V Akademik Tryoshnikov during the austral summer of 2016/17 as part of the circumnavigation expedition (ACE). Data coverage is from December 2016 until April 2017. These images form a supporting dataset to optical spectroscopy data (Benavent et al., 2020; DOI 10.5281/zenodo.3827443). The ship’s position can be matched with these images using the corrected cruise track (Thomas and Pina Estany, 2019; DOI: 10.5281/zenodo.3483166) or the GPS data provided with the spectroscopy data set (Benavent et al., 2020; DOI 10.5281/zenodo.3827443). Dataset contents YYYY-MM-DD_hh.mm.ss.png, data file, portable network graphics README.txt, metadata, text where YYYY-MM-DD_hh.mm.ss is the date and time at which the file was saved in UTC. Dataset license This dataset of raw optical sky images from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ : The Antarctic Circumnavigation Expedition (ACE) was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. Support for the MAX-DOAS installation and data collection was provided by the SORPASSO project (also part of ACE) led by Prof. Rafel Simó. : {"references": ["Cl\u00e9mer, K., Van Roozendael, M., Fayt, C., Hendrick, F., Hermans, C., Pinardi, G., Spurr, R., Wang, P., De Mazi\u00e8re,M., 2010.Multiple wavelength retrieval of tropospheric aerosol optical properties from MAX-DOAS measurements in Beijing. Atmos. Meas. Tech. 3 (4), 863.", "Plane, J.M.C., Saiz-Lopez, A., 2006. UV-Visible Differential Optical Absorption Spectroscopy (DOAS). In: Heard, D.E. (Ed.), Analytical Techniques for Atmospheric Measurement. Blackwell Publishing, Oxford.", "Platt, U., Stutz, J. (2008). Differential Optical Absorption Spectroscopy: Principles and Applications. Springer Berlin Heidelberg, Berlin, Heidelberg, Berlin, Heidelberg.", "Rodgers, C.D. 2000, \"Inverse Methods for Atmospheric Sounding: Theory and Practice\", Singapore: World Scientific Publishing, Singapore.", "Saiz-Lopez, A., & von Glasow, R. (2012). Reactive halogen chemistry in the troposphere. Chemical Society Reviews. https://doi.org/10.1039/c2cs35208g"]} Dataset Antarc* Antarctic Southern Ocean Swiss Polar Institute DataCite Metadata Store (German National Library of Science and Technology) Antarctic Southern Ocean The Antarctic Austral Lopez ENVELOPE(-63.567,-63.567,-64.850,-64.850) Pina ENVELOPE(6.797,6.797,62.685,62.685) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
halogens atmosphere cloud cover web camera Southern Ocean Atlantic Ocean Antarctic Circumnavigation Expedition ACE |
spellingShingle |
halogens atmosphere cloud cover web camera Southern Ocean Atlantic Ocean Antarctic Circumnavigation Expedition ACE Benavent, Nuria Garcia-Nieto, David Cuevas, Carlos Alberto Saiz-Lopez, Alfonso Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
topic_facet |
halogens atmosphere cloud cover web camera Southern Ocean Atlantic Ocean Antarctic Circumnavigation Expedition ACE |
description |
Dataset abstract Scattered sunlight measurements can be strongly affected by clouds, mainly due to multiple scattering effects that give rise to large uncertainties in the light path retrieval. In order to estimate cloud cover, we recorded images of the sky every 5 minutes to evaluate a cloud index, from 0 (clear sky) to 10 (completely overcast). This dataset presents the sky images in PNG (Portable Network Graphics) format recorded on board the R/V Akademik Tryoshnikov during the austral summer of 2016/17 as part of the circumnavigation expedition (ACE). Data coverage is from December 2016 until April 2017. These images form a supporting dataset to optical spectroscopy data (Benavent et al., 2020; DOI 10.5281/zenodo.3827443). The ship’s position can be matched with these images using the corrected cruise track (Thomas and Pina Estany, 2019; DOI: 10.5281/zenodo.3483166) or the GPS data provided with the spectroscopy data set (Benavent et al., 2020; DOI 10.5281/zenodo.3827443). Dataset contents YYYY-MM-DD_hh.mm.ss.png, data file, portable network graphics README.txt, metadata, text where YYYY-MM-DD_hh.mm.ss is the date and time at which the file was saved in UTC. Dataset license This dataset of raw optical sky images from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ : The Antarctic Circumnavigation Expedition (ACE) was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. Support for the MAX-DOAS installation and data collection was provided by the SORPASSO project (also part of ACE) led by Prof. Rafel Simó. : {"references": ["Cl\u00e9mer, K., Van Roozendael, M., Fayt, C., Hendrick, F., Hermans, C., Pinardi, G., Spurr, R., Wang, P., De Mazi\u00e8re,M., 2010.Multiple wavelength retrieval of tropospheric aerosol optical properties from MAX-DOAS measurements in Beijing. Atmos. Meas. Tech. 3 (4), 863.", "Plane, J.M.C., Saiz-Lopez, A., 2006. UV-Visible Differential Optical Absorption Spectroscopy (DOAS). In: Heard, D.E. (Ed.), Analytical Techniques for Atmospheric Measurement. Blackwell Publishing, Oxford.", "Platt, U., Stutz, J. (2008). Differential Optical Absorption Spectroscopy: Principles and Applications. Springer Berlin Heidelberg, Berlin, Heidelberg, Berlin, Heidelberg.", "Rodgers, C.D. 2000, \"Inverse Methods for Atmospheric Sounding: Theory and Practice\", Singapore: World Scientific Publishing, Singapore.", "Saiz-Lopez, A., & von Glasow, R. (2012). Reactive halogen chemistry in the troposphere. Chemical Society Reviews. https://doi.org/10.1039/c2cs35208g"]} |
format |
Dataset |
author |
Benavent, Nuria Garcia-Nieto, David Cuevas, Carlos Alberto Saiz-Lopez, Alfonso |
author_facet |
Benavent, Nuria Garcia-Nieto, David Cuevas, Carlos Alberto Saiz-Lopez, Alfonso |
author_sort |
Benavent, Nuria |
title |
Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
title_short |
Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
title_full |
Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
title_fullStr |
Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
title_full_unstemmed |
Sky images recorded during the austral summer of 2016/17 as part of the Antarctic Circumnavigation Expedition (ACE). |
title_sort |
sky images recorded during the austral summer of 2016/17 as part of the antarctic circumnavigation expedition (ace). |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.3827444 https://zenodo.org/record/3827444 |
long_lat |
ENVELOPE(-63.567,-63.567,-64.850,-64.850) ENVELOPE(6.797,6.797,62.685,62.685) |
geographic |
Antarctic Southern Ocean The Antarctic Austral Lopez Pina |
geographic_facet |
Antarctic Southern Ocean The Antarctic Austral Lopez Pina |
genre |
Antarc* Antarctic Southern Ocean Swiss Polar Institute |
genre_facet |
Antarc* Antarctic Southern Ocean Swiss Polar Institute |
op_relation |
https://zenodo.org/communities/spi-ace https://dx.doi.org/10.5281/zenodo.3827443 https://dx.doi.org/10.5281/zenodo.3483166 https://dx.doi.org/10.5281/zenodo.1443511 https://dx.doi.org/10.5281/zenodo.3827445 https://zenodo.org/communities/spi-ace |
op_rights |
Open Access Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.3827444 https://doi.org/10.5281/zenodo.3827443 https://doi.org/10.5281/zenodo.3483166 https://doi.org/10.5281/zenodo.1443511 https://doi.org/10.5281/zenodo.3827445 |
_version_ |
1766136435242434560 |