Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2315-2016
© 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/gmd-9-2315-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
06 Jul 2016
Model description paper |
| 06 Jul 2016
An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1)
Kristian Förster
CORRESPONDING AUTHOR
alpS – Centre for Climate Change Adaptation, Grabenweg 68, 6020 Innsbruck, Austria
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Florian Hanzer
alpS – Centre for Climate Change Adaptation, Grabenweg 68, 6020 Innsbruck, Austria
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Benjamin Winter
alpS – Centre for Climate Change Adaptation, Grabenweg 68, 6020 Innsbruck, Austria
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Thomas Marke
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Ulrich Strasser
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
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- A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology D. Yang et al. 10.1007/s00376-024-4214-7
- A continuous modelling approach for design flood estimation on sub-daily time scale B. Winter et al. 10.1080/02626667.2019.1593419
- Quantifying climate change impacts on low flows of small high mountain watersheds: A nonstationary approach M. Hasan et al. 10.1016/j.ejrh.2023.101463
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27 citations as recorded by crossref.
- Coupling Poisson rectangular pulse and multiplicative microcanonical random cascade models to generate sub-daily precipitation timeseries I. Pohle et al. 10.1016/j.jhydrol.2018.04.063
- The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland S. Liu & G. Ng 10.1016/j.jhydrol.2020.125088
- A semi-parametric hourly space–time weather generator R. Pidoto & U. Haberlandt 10.5194/hess-27-3957-2023
- Errors in temporal disaggregation of temperature can lead to non-negligible biases in agroecosystem risk assessment S. Savalkar et al. 10.1016/j.agrformet.2024.109952
- What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al. 10.3390/atmos11090981
- Impact of climate change on snow avalanche activity in the Swiss Alps S. Mayer et al. 10.5194/tc-18-5495-2024
- Assessing the impact of climate change on energy retrofit of alpine historic buildings: consequences for the hygrothermal performance L. Hao et al. 10.1088/1755-1315/410/1/012050
- Disaggregation of climatic variables using a novel stochastic approach and its application in building performance simulation studies V. Manikanta et al. 10.1080/19401493.2024.2427101
- A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping G. Ortner et al. 10.1016/j.coldregions.2024.104355
- Multivariate non-parametric Euclidean distance model for hourly disaggregation of daily climate data C. Görner et al. 10.1007/s00704-020-03426-7
- A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology D. Yang et al. 10.1007/s00376-024-4214-7
- A continuous modelling approach for design flood estimation on sub-daily time scale B. Winter et al. 10.1080/02626667.2019.1593419
- Quantifying climate change impacts on low flows of small high mountain watersheds: A nonstationary approach M. Hasan et al. 10.1016/j.ejrh.2023.101463
- Research on Data Mining Algorithm of Meteorological Observation Based on Data Quality Control Algorithm R. Qing-Dao-Er-Ji & N. Li 10.1007/s11277-018-5258-8
- The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis F. Zabel & B. Poschlod 10.5194/gmd-16-5383-2023
- Local-scale regionalisation of climate change effects on rainfall pattern: application to Alicante City (Spain) L. Cutillas-Lozano et al. 10.1007/s00704-023-04565-3
- Technical Note: Temporal disaggregation of spatial rainfall fields with generative adversarial networks S. Scher & S. Peßenteiner 10.5194/hess-25-3207-2021
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al. 10.5194/gmd-17-5249-2024
- Variations in sub-daily precipitation at centennial scale K. Förster & L. Thiele 10.1038/s41612-020-0117-1
- openAMUNDSEN v1.0: an open-source snow-hydrological model for mountain regions U. Strasser et al. 10.5194/gmd-17-6775-2024
- SECURES-Met: A European meteorological data set suitable for electricity modelling applications H. Formayer et al. 10.1038/s41597-023-02494-4
- TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1 J. Fiddes et al. 10.5194/gmd-15-1753-2022
- Daily vs. hourly simulation for estimating future flood peaks in mesoscale catchments M. Beylich et al. 10.2166/nh.2021.152
- Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence? H. Müller-Thomy et al. 10.5194/hess-22-5259-2018
- Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach F. Hanzer et al. 10.5194/hess-22-1593-2018
- Developing user-informed fire weather projections for Canada L. Van Vliet et al. 10.1016/j.cliser.2024.100505
- Water Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristics J. Su et al. 10.3390/w13131738
Saved (preprint)
Latest update: 15 Jan 2025
Short summary
For many applications in geoscientific modelling hourly meteorological time series are required, which generally cover shorter periods of time compared to daily time series. We present an open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST) capable of disaggregating temperature, precipitation, humidity, wind speed, and shortwave radiation (i.e. making 24 out of 1 value). Results indicate a good reconstruction of diurnal features at five sites in different climates.
For many applications in geoscientific modelling hourly meteorological time series are required,...
