Scholar Data
Sign in

Automated Organization Profile

Finnish Meteorological Institute, Finland

Current S-Index

4.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

5

Total datasets in this organization

Average FAIR Score

76.2%

Average FAIR Score per dataset

Total Citations

8

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil)

This is the data (model output from JULES and observational data) used in the paper "A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil)" for the initially submitted version that will appear as a discussion paper in Geoscientific Model Development Discussions (2021). R code is provided that will recreate all of the plots in the paper using the data provided. These data include outputs from the JULES model including developments to represent peat accumulation, and observational data of peat properties (most are taken from other sources: references provided therein).

Authors

  • Chadburn, Sarah E ;
  • Burke, Eleanor J ;
  • Gallego-Sala, Angela V ;
  • Smith, Noah D ;
  • Bret-Harte, M Syndonia ;
  • Charman, Dan J ;
  • Drewer, Julia ;
  • Edgar, Colin W ;
  • Euskirchen, Eugenie S ;
  • Fortuniak, Krzysztof ;
  • Gao, Yao ;
  • Nakhavali, Mahdi ;
  • Pawlak, Włodzimierz ;
  • Schuur, Edward A G ;
  • Westermann, Sebastian
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.5281/zenodo.55494722021

A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands

This is the data (model output from JULES and observational data) used in the paper "A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands" for the resubmitted version after review of the discussion paper in Geoscientific Model Development Discussions (2021) https://doi.org/10.5194/gmd-2021-263. R code is provided that will recreate all of the plots in the paper using the data provided. These data include outputs from the JULES model including developments to represent peat accumulation, and observational data of peat properties (most are taken from other sources: references provided therein).

Authors

  • Chadburn, Sarah E ;
  • Burke, Eleanor J ;
  • Gallego-Sala, Angela V ;
  • Smith, Noah D ;
  • Bret-Harte, M Syndonia ;
  • Charman, Dan J ;
  • Drewer, Julia ;
  • Edgar, Colin W ;
  • Euskirchen, Eugenie S ;
  • Fortuniak, Krzysztof ;
  • Gao, Yao ;
  • Nakhavali, Mahdi ;
  • Pawlak, Włodzimierz ;
  • Schuur, Edward A G ;
  • Westermann, Sebastian ;
  • Hugelius, Gustaf
1 Citation0 Mentions73% FAIR0.7 Dataset Index
10.5281/zenodo.55494712021

A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands

This is the data (model output from JULES and observational data) used in the paper "A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands" for the resubmitted version after review of the discussion paper in Geoscientific Model Development Discussions (2021) https://doi.org/10.5194/gmd-2021-263. R code is provided that will recreate all of the plots in the paper using the data provided. These data include outputs from the JULES model including developments to represent peat accumulation, and observational data of peat properties (most are taken from other sources: references provided therein).

Authors

  • Chadburn, Sarah E ;
  • Burke, Eleanor J ;
  • Gallego-Sala, Angela V ;
  • Smith, Noah D ;
  • Bret-Harte, M Syndonia ;
  • Charman, Dan J ;
  • Drewer, Julia ;
  • Edgar, Colin W ;
  • Euskirchen, Eugenie S ;
  • Fortuniak, Krzysztof ;
  • Gao, Yao ;
  • Nakhavali, Mahdi ;
  • Pawlak, Włodzimierz ;
  • Schuur, Edward A G ;
  • Westermann, Sebastian ;
  • Hugelius, Gustaf
2 Citations0 Mentions79% FAIR1.1 Dataset Index
10.5281/zenodo.58181802021

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 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

Authors

  • Bin, Cheng ;
  • Yubing, Cheng ;
  • Vihma Timo ;
  • Kontu Anna ;
  • Fei, Zheng ;
  • Lemmetyinen Juha ;
  • Puliainen Jouni
5 Citations0 Mentions77% FAIR2.1 Dataset Index
10.5281/zenodo.45593682021

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 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

Authors

  • Bin, Cheng ;
  • Yubing, Cheng ;
  • Vihma Timo ;
  • Kontu Anna ;
  • Fei, Zheng ;
  • Lemmetyinen Juha ;
  • Puliainen Jouni
0 Citations0 Mentions79% FAIR0.4 Dataset Index
10.5281/zenodo.45593672021