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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ftdatacite:10.5281/zenodo.4559368 2023-05-15T14:54:20+02:00 SIMBA snow/ice mass balance buoy data and weather station data Bin, Cheng Yubing, Cheng Vihma Timo Kontu Anna Fei, Zheng Lemmetyinen Juha Puliainen Jouni 2021 https://dx.doi.org/10.5281/zenodo.4559368 https://zenodo.org/record/4559368 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4559367 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Arctic lake, snow depth, ice thickness, temperature, SIMBA dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.4559368 https://doi.org/10.5281/zenodo.4559367 2021-11-05T12:55:41Z 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 DataCite Metadata Store (German National Library of Science and Technology) Arctic Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Arctic lake, snow depth, ice thickness, temperature, SIMBA |
spellingShingle |
Arctic lake, snow depth, ice thickness, temperature, SIMBA Bin, Cheng Yubing, Cheng Vihma Timo Kontu Anna Fei, Zheng 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 |
Bin, Cheng Yubing, Cheng Vihma Timo Kontu Anna Fei, Zheng Lemmetyinen Juha Puliainen Jouni |
author_facet |
Bin, Cheng Yubing, Cheng Vihma Timo Kontu Anna Fei, Zheng Lemmetyinen Juha Puliainen Jouni |
author_sort |
Bin, Cheng |
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 |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.4559368 https://zenodo.org/record/4559368 |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) ENVELOPE(-130.826,-130.826,57.231,57.231) |
geographic |
Arctic Sodankylä Arctic Lake |
geographic_facet |
Arctic Sodankylä Arctic Lake |
genre |
Arctic Sodankylä |
genre_facet |
Arctic Sodankylä |
op_relation |
https://dx.doi.org/10.5281/zenodo.4559367 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4559368 https://doi.org/10.5281/zenodo.4559367 |
_version_ |
1766326041908871168 |