SIMBA snow/ice mass balance buoy data and weather station data
The data sets here are for a manuscript entitled as "Inter-annual variation of lake ice composition in the Arctic region: Results from observed high-resolution thermistor string" The high spatial resolution (2cm) vertical air-snow-ice-water temperature time series have been measured in an...
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ftzenodo:oai:zenodo.org:4559368 2023-05-15T14:54:18+02:00 SIMBA snow/ice mass balance buoy data and weather station data Cheng Bin Cheng yubing Vihma Timo Kontu Anna Zheng Fei Lemmetyinen Juha Puliainen Jouni 2021-02-24 https://zenodo.org/record/4559368 https://doi.org/10.5281/zenodo.4559368 unknown info:eu-repo/grantAgreement/EC/H2020/727890/ doi:10.5281/zenodo.4559367 https://zenodo.org/record/4559368 https://doi.org/10.5281/zenodo.4559368 oai:zenodo.org:4559368 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Earth System Science Data (ESSD) Arctic lake snow depth ice thickness temperature SIMBA info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.5281/zenodo.455936810.5281/zenodo.4559367 2023-03-11T03:28:56Z The data sets here are for a manuscript entitled as "Inter-annual variation of lake ice composition in the Arctic region: Results from observed high-resolution thermistor string" The high spatial resolution (2cm) vertical air-snow-ice-water temperature time series have been measured in an Arctic lake during winter seasons 2009-2020. Snow depth, ice thickness as well as the lake ice composition are retrieved from temperature time series. High quality meteorological parameters are available from Sodankylä weather station in the vicinity (12 km) from the lake. The readers may considered to create a few sub-directories to save the packed files: SIMBA_rawdata\ You can save SIMBA_rawdata.zip here and if you unzip, you will find a number of SIMBA original data files, see readme for details. SIMBA_rawdata1\ You can save SIMBA_rawdata1.zip here and if you unzip, you will find a number of SIMBA combined data files, see readme for details. SIMBA_RESULT\You can save SIMBA_RESULT.zip here and if you unzip, you will find a number of SIMBA processed data files, see readme for details. Weather_station_data\You can save Weather_station_data.zip here and if you unzip, you will find a number of weather station data files, see readme for details. SIMBA_D&R_all_Years.docx: This file describes SIMBA deployment for each winter season. There are a few excel file here. Those are lake snow and ice manual observation for 09/10, 10/11, 11/12 and 12/13 Dataset Arctic Sodankylä Zenodo Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
Arctic lake snow depth ice thickness temperature SIMBA |
spellingShingle |
Arctic lake snow depth ice thickness temperature SIMBA Cheng Bin Cheng yubing Vihma Timo Kontu Anna Zheng Fei Lemmetyinen Juha Puliainen Jouni SIMBA snow/ice mass balance buoy data and weather station data |
topic_facet |
Arctic lake snow depth ice thickness temperature SIMBA |
description |
The data sets here are for a manuscript entitled as "Inter-annual variation of lake ice composition in the Arctic region: Results from observed high-resolution thermistor string" The high spatial resolution (2cm) vertical air-snow-ice-water temperature time series have been measured in an Arctic lake during winter seasons 2009-2020. Snow depth, ice thickness as well as the lake ice composition are retrieved from temperature time series. High quality meteorological parameters are available from Sodankylä weather station in the vicinity (12 km) from the lake. The readers may considered to create a few sub-directories to save the packed files: SIMBA_rawdata\ You can save SIMBA_rawdata.zip here and if you unzip, you will find a number of SIMBA original data files, see readme for details. SIMBA_rawdata1\ You can save SIMBA_rawdata1.zip here and if you unzip, you will find a number of SIMBA combined data files, see readme for details. SIMBA_RESULT\You can save SIMBA_RESULT.zip here and if you unzip, you will find a number of SIMBA processed data files, see readme for details. Weather_station_data\You can save Weather_station_data.zip here and if you unzip, you will find a number of weather station data files, see readme for details. SIMBA_D&R_all_Years.docx: This file describes SIMBA deployment for each winter season. There are a few excel file here. Those are lake snow and ice manual observation for 09/10, 10/11, 11/12 and 12/13 |
format |
Dataset |
author |
Cheng Bin Cheng yubing Vihma Timo Kontu Anna Zheng Fei Lemmetyinen Juha Puliainen Jouni |
author_facet |
Cheng Bin Cheng yubing Vihma Timo Kontu Anna Zheng Fei Lemmetyinen Juha Puliainen Jouni |
author_sort |
Cheng Bin |
title |
SIMBA snow/ice mass balance buoy data and weather station data |
title_short |
SIMBA snow/ice mass balance buoy data and weather station data |
title_full |
SIMBA snow/ice mass balance buoy data and weather station data |
title_fullStr |
SIMBA snow/ice mass balance buoy data and weather station data |
title_full_unstemmed |
SIMBA snow/ice mass balance buoy data and weather station data |
title_sort |
simba snow/ice mass balance buoy data and weather station data |
publishDate |
2021 |
url |
https://zenodo.org/record/4559368 https://doi.org/10.5281/zenodo.4559368 |
long_lat |
ENVELOPE(-130.826,-130.826,57.231,57.231) ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Arctic Arctic Lake Sodankylä |
geographic_facet |
Arctic Arctic Lake Sodankylä |
genre |
Arctic Sodankylä |
genre_facet |
Arctic Sodankylä |
op_source |
Earth System Science Data (ESSD) |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/727890/ doi:10.5281/zenodo.4559367 https://zenodo.org/record/4559368 https://doi.org/10.5281/zenodo.4559368 oai:zenodo.org:4559368 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.455936810.5281/zenodo.4559367 |
_version_ |
1766326018993291264 |