Articles | Volume 5, issue 1
https://doi.org/10.5194/gi-5-163-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-5-163-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 May 2016
Research article |
| 30 May 2016
Sodankylä manual snow survey program
Finnish Meteorological Institute, Arctic Research, Sodankylä, Finland
Anna Kontu
Finnish Meteorological Institute, Arctic Research, Sodankylä, Finland
Henna-Reetta Hannula
Finnish Meteorological Institute, Arctic Research, Sodankylä, Finland
Heidi Sjöblom
Finnish Environment Institute, Helsinki, Finland
Jouni Pulliainen
Finnish Meteorological Institute, Arctic Research, Sodankylä, Finland
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Cited
39 citations as recorded by crossref.
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- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
- Continuous bidirectional reflectance (BRF) measurement of snow using monochromatic camera T. Manninen et al. 10.1016/j.coldregions.2022.103514
- Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape H. Proulx et al. 10.5194/tc-17-3435-2023
- Towards long-term records of rain-on-snow events across the Arctic from satellite data A. Bartsch et al. 10.5194/tc-17-889-2023
- Inter-comparison of field snow measurements using different instruments in Türkiye M. Ertaş & A. Şorman 10.1007/s11629-023-8018-5
- Improving the Snow Volume Scattering Algorithm in a Microwave Forward Model by Using Ground-Based Remote Sensing Snow Observations L. Dai et al. 10.1109/TGRS.2021.3064309
- Performance of snow density measurement systems in snow stratigraphies J. Hao et al. 10.2166/nh.2021.133
- On The Estimation of Temporal Changes of Snow Water Equivalent by Spaceborne Sar Interferometry: A New Application for the Sentinel-1 Mission V. Conde et al. 10.2478/johh-2018-0003
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- An agenda for the future of Arctic snow research: the view from Svalbard C. Zdanowicz et al. 10.33265/polar.v42.8827
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- The Influence of Thermal Properties and Canopy- Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine Q. Li et al. 10.1109/TGRS.2019.2899345
- Measuring the Impact of a New Snow Model Using Surface Energy Budget Process Relationships J. Day et al. 10.1029/2020MS002144
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- Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study M. Kaasik et al. 10.3390/geosciences13070205
- Nordic Snow Radar Experiment J. Lemmetyinen et al. 10.5194/gi-5-403-2016
- Sampling, Filtering, and Analysis Protocols to Detect Black Carbon, Organic Carbon, and Total Carbon in Seasonal Surface Snow in an Urban Background and Arctic Finland (>60° N) O. Meinander et al. 10.3390/atmos11090923
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- Solving Challenges of Assimilating Microwave Remote Sensing Signatures With a Physical Model to Estimate Snow Water Equivalent I. Merkouriadi et al. 10.1029/2021WR030119
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- Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers J. López‐Moreno et al. 10.1002/hyp.13785
- Exploring the potential of forest snow modeling at the tree and snowpack layer scale G. Mazzotti et al. 10.5194/tc-18-4607-2024
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. 10.1016/j.scitotenv.2019.134213
- Derivation and Evaluation of a New Extinction Coefficient for Use With the n-HUT Snow Emission Model W. Maslanka et al. 10.1109/TGRS.2019.2913208
- Measuring winter precipitation and snow on the ground in northern polar regions J. Janowicz et al. 10.2166/nh.2017.059
39 citations as recorded by crossref.
- The RHOSSA campaign: multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack N. Calonne et al. 10.5194/tc-14-1829-2020
- A 7-year dataset for driving and evaluating snow models at an Arctic site (Sodankylä, Finland) R. Essery et al. 10.5194/gi-5-219-2016
- Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland M. Holmberg et al. 10.1016/j.rse.2024.114143
- Coupling SNOWPACK-modeled grain size parameters with the HUT snow emission model A. Kontu et al. 10.1016/j.rse.2016.12.021
- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
- Continuous bidirectional reflectance (BRF) measurement of snow using monochromatic camera T. Manninen et al. 10.1016/j.coldregions.2022.103514
- Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape H. Proulx et al. 10.5194/tc-17-3435-2023
- Towards long-term records of rain-on-snow events across the Arctic from satellite data A. Bartsch et al. 10.5194/tc-17-889-2023
- Inter-comparison of field snow measurements using different instruments in Türkiye M. Ertaş & A. Şorman 10.1007/s11629-023-8018-5
- Improving the Snow Volume Scattering Algorithm in a Microwave Forward Model by Using Ground-Based Remote Sensing Snow Observations L. Dai et al. 10.1109/TGRS.2021.3064309
- Performance of snow density measurement systems in snow stratigraphies J. Hao et al. 10.2166/nh.2021.133
- On The Estimation of Temporal Changes of Snow Water Equivalent by Spaceborne Sar Interferometry: A New Application for the Sentinel-1 Mission V. Conde et al. 10.2478/johh-2018-0003
- Snow Samples Combined With Long-Range Transport Modeling to Reveal the Origin and Temporal Variability of Black Carbon in Seasonal Snow in Sodankylä (67°N) O. Meinander et al. 10.3389/feart.2020.00153
- An agenda for the future of Arctic snow research: the view from Svalbard C. Zdanowicz et al. 10.33265/polar.v42.8827
- Comparison of bulk snow density measurements using different methods H. Su et al. 10.1016/j.accre.2024.07.005
- The Influence of Thermal Properties and Canopy- Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine Q. Li et al. 10.1109/TGRS.2019.2899345
- Measuring the Impact of a New Snow Model Using Surface Energy Budget Process Relationships J. Day et al. 10.1029/2020MS002144
- Applicability evaluation and improvement of different snow evaporation calculation methods in the Great Xing’an mountains Y. Lin et al. 10.1007/s12145-021-00597-3
- Drone-based ground-penetrating radar (GPR) application to snow hydrology E. Valence et al. 10.5194/tc-16-3843-2022
- Accuracy of Manual Snow Sampling, Depending on the Sampler’s Cross-Section—A Comparative Study M. Kaasik et al. 10.3390/geosciences13070205
- Nordic Snow Radar Experiment J. Lemmetyinen et al. 10.5194/gi-5-403-2016
- Sampling, Filtering, and Analysis Protocols to Detect Black Carbon, Organic Carbon, and Total Carbon in Seasonal Surface Snow in an Urban Background and Arctic Finland (>60° N) O. Meinander et al. 10.3390/atmos11090923
- Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover J. Lemmetyinen et al. 10.5194/essd-14-3915-2022
- Impact of a Multi‐Layer Snow Scheme on Near‐Surface Weather Forecasts G. Arduini et al. 10.1029/2019MS001725
- Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements J. Lemmetyinen et al. 10.3390/rs10020170
- Uncertainty analysis of IceCube instrument to enhance accuracy of specific surface area measurements L. Leppänen 10.1016/j.coldregions.2023.104105
- Solving Challenges of Assimilating Microwave Remote Sensing Signatures With a Physical Model to Estimate Snow Water Equivalent I. Merkouriadi et al. 10.1029/2021WR030119
- A new snow depth retrieval method by improved hybrid DEM differencing and coherence amplitude algorithm for PolInSAR H. Qiao et al. 10.1016/j.jhydrol.2023.130507
- Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Area J. Jorge Ruiz et al. 10.1109/TGRS.2024.3439855
- Microstructure representation of snow in coupled snowpack and microwave emission models M. Sandells et al. 10.5194/tc-11-229-2017
- Snow depth time series retrieval by time-lapse photography: Finnish and Italian case studies M. Bongio et al. 10.5194/tc-15-369-2021
- Real-Time Alpine Measurement System Using Wireless Sensor Networks S. Malek et al. 10.3390/s17112583
- Laboratory, field, mast-borne and airborne spectral reflectance measurements of boreal landscape during spring H. Hannula et al. 10.5194/essd-12-719-2020
- Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack L. Leppänen & A. Kontu 10.3390/geosciences8110404
- Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers J. López‐Moreno et al. 10.1002/hyp.13785
- Exploring the potential of forest snow modeling at the tree and snowpack layer scale G. Mazzotti et al. 10.5194/tc-18-4607-2024
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. 10.1016/j.scitotenv.2019.134213
- Derivation and Evaluation of a New Extinction Coefficient for Use With the n-HUT Snow Emission Model W. Maslanka et al. 10.1109/TGRS.2019.2913208
- Measuring winter precipitation and snow on the ground in northern polar regions J. Janowicz et al. 10.2166/nh.2017.059
Latest update: 17 Nov 2024
Short summary
The manual snow survey program of Finnish Meteorological Institute consists of numerous observations of natural seasonal snowpack in Sodankylä, in northern Finland. Systematic snow measurements began in 1911 with snow depth and snow water equivalent. In 2006 the manual snow survey program expanded to cover snow macro- and microstructure from snow pits. Extensive time series of manual snow measurements are important for the monitoring of temporal and spatial changes in seasonal snowpack.
The manual snow survey program of Finnish Meteorological Institute consists of numerous...
