Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020
Atmospheric observations of sources and sinks of carbon dioxide (CO2) and methane (CH4) in the pan-Arctic domain are highly sporadic, limiting our understanding of carbon turnover in this climatically sensitive environment and a fate of enormous carbon reservoirs buried in permafrost. Particular gap...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:212300 2023-07-02T03:31:23+02:00 Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 Panov, A (via Mendeley Data) 2021-06-04T08:50:44.019Z http://nbn-resolving.org/urn:nbn:nl:ui:13-vk-9d75 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:212300 unknown 1 2vvgs2rw9c http://nbn-resolving.org/urn:nbn:nl:ui:13-vk-9d75 doi:10.17632/2vvgs2rw9c.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:212300 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Alexey Panov Interdisciplinary sciences 2021 ftdans https://doi.org/10.17632/2vvgs2rw9c.1 2023-06-13T13:24:22Z Atmospheric observations of sources and sinks of carbon dioxide (CO2) and methane (CH4) in the pan-Arctic domain are highly sporadic, limiting our understanding of carbon turnover in this climatically sensitive environment and a fate of enormous carbon reservoirs buried in permafrost. Particular gaps apply to the arctic latitudes of Siberia, covered by the vast tundra ecosystems underlain by permafrost, where only several atmospheric sites are available. The data set contains the time series of the quality controlled (QC) hourly afternoon (1-4 pm of local time (GMT+7)) averages of atmospheric CO2 and CH4 dry mole fractions measured with a CRDS analyzer Picarro G2301-f at 35 m a.s.l. in the western Taimyr Peninsula (Siberia). Meteorological variables (air temperature, relative humidity, precipitation amount, wind) for the same period of observations permit screening of trace gas data series. The data set covers September 2018 to February 2020 with a nearly 4-month break (November 13, 2018 - February 22, 2019) due to technical failure when both trace gas and meteorological records are missing. Other/Unknown Material Arctic permafrost Taimyr Tundra Siberia Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Arctic |
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Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Interdisciplinary sciences |
spellingShingle |
Interdisciplinary sciences Panov, A (via Mendeley Data) Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
topic_facet |
Interdisciplinary sciences |
description |
Atmospheric observations of sources and sinks of carbon dioxide (CO2) and methane (CH4) in the pan-Arctic domain are highly sporadic, limiting our understanding of carbon turnover in this climatically sensitive environment and a fate of enormous carbon reservoirs buried in permafrost. Particular gaps apply to the arctic latitudes of Siberia, covered by the vast tundra ecosystems underlain by permafrost, where only several atmospheric sites are available. The data set contains the time series of the quality controlled (QC) hourly afternoon (1-4 pm of local time (GMT+7)) averages of atmospheric CO2 and CH4 dry mole fractions measured with a CRDS analyzer Picarro G2301-f at 35 m a.s.l. in the western Taimyr Peninsula (Siberia). Meteorological variables (air temperature, relative humidity, precipitation amount, wind) for the same period of observations permit screening of trace gas data series. The data set covers September 2018 to February 2020 with a nearly 4-month break (November 13, 2018 - February 22, 2019) due to technical failure when both trace gas and meteorological records are missing. |
author |
Panov, A (via Mendeley Data) |
author_facet |
Panov, A (via Mendeley Data) |
author_sort |
Panov, A (via Mendeley Data) |
title |
Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
title_short |
Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
title_full |
Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
title_fullStr |
Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
title_full_unstemmed |
Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 02.2020 |
title_sort |
data set on the accurate continuous observations of atmospheric co2, ch4 dry mole fractions in the western taimyr peninsula (siberia) for the period 09.2018 - 02.2020 |
publishDate |
2021 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-vk-9d75 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:212300 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Taimyr Tundra Siberia |
genre_facet |
Arctic permafrost Taimyr Tundra Siberia |
op_relation |
1 2vvgs2rw9c http://nbn-resolving.org/urn:nbn:nl:ui:13-vk-9d75 doi:10.17632/2vvgs2rw9c.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:212300 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Alexey Panov |
op_doi |
https://doi.org/10.17632/2vvgs2rw9c.1 |
_version_ |
1770270774481911808 |