Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-3135-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-3135-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
MeteoIO 2.4.2: a preprocessing library for meteorological data
WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland
T. Egger
Egger Consulting, Postgasse 2, 1010 Vienna, Austria
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67 citations as recorded by crossref.
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- Influence of Slope‐Scale Snowmelt on Catchment Response Simulated With the Alpine3D Model T. Brauchli et al. 10.1002/2017WR021278
- Inferring watershed‐scale mean snowfall magnitude and distribution using multidecadal snow reanalysis patterns and snow pillow observations J. Pflug et al. 10.1002/hyp.14581
- Decreasing surface albedo signifies a growing importance of clouds for Greenland Ice Sheet meltwater production J. Ryan et al. 10.1038/s41467-022-31434-w
- Coupled Snow Cover and Avalanche Dynamics Simulations to Evaluate Wet Snow Avalanche Activity N. Wever et al. 10.1029/2017JF004515
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- A Framework for Modeling Rock Glaciers and Permafrost at the Basin‐Scale in High Alpine Catchments L. Pruessner et al. 10.1029/2020MS002361
- openAMUNDSEN v1.0: an open-source snow-hydrological model for mountain regions U. Strasser et al. 10.5194/gmd-17-6775-2024
- Insights Into Preferential Flow Snowpack Runoff Using Random Forest F. Avanzi et al. 10.1029/2019WR024828
- A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. 10.5194/tc-17-5317-2023
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- Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland C. Pérez-Guillén et al. 10.5194/nhess-22-2031-2022
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- Greenland's firn responds more to warming than to cooling M. Thompson-Munson et al. 10.5194/tc-18-3333-2024
- Snow instability patterns at the scale of a small basin B. Reuter et al. 10.1002/2015JF003700
- The role of meteorological forcing and snow model complexity in winter glacier mass balance estimation, Columbia River basin, Canada M. Mortezapour et al. 10.1002/hyp.13929
- Simulation of snow management in Alpine ski resorts using three different snow models F. Hanzer et al. 10.1016/j.coldregions.2020.102995
- Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data F. Avanzi et al. 10.1016/j.coldregions.2020.103066
- Crowdsourced Data Highlight Precipitation Phase Partitioning Variability in Rain‐Snow Transition Zone K. Jennings et al. 10.1029/2022EA002714
- Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan E. Bair et al. 10.5194/tc-14-331-2020
- Modeling spatially distributed snow instability at a regional scale using Alpine3D B. Richter et al. 10.1017/jog.2021.61
- Geotextile protection of glacier: Observed and simulated impacts on energy and mass balance F. Wang et al. 10.1016/j.accre.2023.11.001
- Downscaling Snow Deposition Using Historic Snow Depth Patterns: Diagnosing Limitations From Snowfall Biases, Winter Snow Losses, and Interannual Snow Pattern Repeatability J. Pflug et al. 10.1029/2021WR029999
- Assessing the key concerns in snow storage: a case study for China X. Wang et al. 10.5194/tc-18-3017-2024
- Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations S. Mayer et al. 10.5194/nhess-23-3445-2023
- A two-layer canopy model with thermal inertia for an improved snowpack energy balance below needleleaf forest (model SNOWPACK, version 3.2.1, revision 741) I. Gouttevin et al. 10.5194/gmd-8-2379-2015
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- A Meteorology and Snow Data Set From Adjacent Forested and Meadow Sites at Crested Butte, CO, USA H. Bonner et al. 10.1029/2022WR033006
- Distributed snow and rock temperature modelling in steep rock walls using Alpine3D A. Haberkorn et al. 10.5194/tc-11-585-2017
- Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments N. Griessinger et al. 10.1016/j.advwatres.2019.103410
- Spatially distributed simulations of the effect of snow on mass balance and flooding of Antarctic sea ice N. Wever et al. 10.1017/jog.2021.54
- A new approach to meteorological observations on remote polar glaciers using open-source internet of things technologies S. Filhol et al. 10.3389/fenvs.2023.1085708
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- Scale‐dependent effects of solar radiation patterns on the snow‐dominated hydrologic response F. Comola et al. 10.1002/2015GL064075
- Hydrological response of two high altitude Swiss catchments to energy balance and temperature index melt schemes A. Shakoor et al. 10.1016/j.polar.2018.06.007
- Snowfall Fraction, Cold Content, and Energy Balance Changes Drive Differential Response to Simulated Warming in an Alpine and Subalpine Snowpack K. Jennings & N. Molotch 10.3389/feart.2020.00186
- Climate change effects on groundwater recharge and temperatures in Swiss alluvial aquifers J. Epting et al. 10.1016/j.hydroa.2020.100071
- The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth E. Smyth et al. 10.1029/2021WR030563
- Local and regional variability in snow conditions in northern Finland: A reindeer herding perspective S. Rasmus et al. 10.1007/s13280-015-0762-5
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- StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction A. Gallice et al. 10.5194/gmd-9-4491-2016
- Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment N. Wever et al. 10.5194/hess-21-4053-2017
- Snowpack density modeling is the primary source of uncertainty when mapping basin‐wide SWE with lidar M. Raleigh & E. Small 10.1002/2016GL071999
- Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California K. Musselman et al. 10.5194/tc-11-2847-2017
- An evaluation of a physics-based firn model and a semi-empirical firn model across the Greenland Ice Sheet (1980–2020) M. Thompson-Munson et al. 10.5194/tc-17-2185-2023
- Future water temperature of rivers in Switzerland under climate change investigated with physics-based models A. Michel et al. 10.5194/hess-26-1063-2022
- Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments S. Terzago et al. 10.5194/hess-24-4061-2020
- A methodology framework for bipartite network modeling C. Liew et al. 10.1007/s41109-023-00533-y
- How much can we save? Impact of different emission scenarios on future snow cover in the Alps C. Marty et al. 10.5194/tc-11-517-2017
- Snow model comparison to simulate snow depth evolution and sublimation at point scale in the semi-arid Andes of Chile A. Voordendag et al. 10.5194/tc-15-4241-2021
- Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution C. Vögeli et al. 10.3389/feart.2016.00108
- Assessing wet snow avalanche activity using detailed physics based snowpack simulations N. Wever et al. 10.1002/2016GL068428
4 citations as recorded by crossref.
- Coping with difficult weather and snow conditions: Reindeer herders’ views on climate change impacts and coping strategies M. Turunen et al. 10.1016/j.crm.2016.01.002
- Snow model sensitivity analysis to understand spatial and temporal snow dynamics in a high‐elevation catchment M. Engel et al. 10.1002/hyp.11314
- GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects S. Endrizzi et al. 10.5194/gmd-7-2831-2014
- Sensitivity of Alpine3D modeled snow cover to modifications in DEM resolution, station coverage and meteorological input quantities S. Schlögl et al. 10.1016/j.envsoft.2016.02.017
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Latest update: 19 Nov 2024
Short summary
The open-source MeteoIO library has been designed to perform the data preprocessing required by numerical models using large meteorological data sets, with a strong emphasis on simplicity and modularity. It retrieves, filters and resamples the data if necessary as well as provides spatial interpolations and parameterizations. It presents a uniform interface to meteorological data in the models, hides the complexity of the preprocessing and guarantees a robust behaviour in case of data errors.
The open-source MeteoIO library has been designed to perform the data preprocessing required by...