Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Oct 2019
Data description paper |
| 14 Oct 2019
seNorge_2018, daily precipitation, and temperature datasets over Norway
Norwegian Meteorological Institute, Oslo, Norway
Ole Einar Tveito
Norwegian Meteorological Institute, Oslo, Norway
Andreas Dobler
Norwegian Meteorological Institute, Oslo, Norway
Ketil Tunheim
Norwegian Meteorological Institute, Oslo, Norway
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19 citations as recorded by crossref.
- Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate Q. Yuan et al. 10.5194/hess-25-5259-2021
- Climate change mitigation potential of biochar from forestry residues under boreal condition A. Hagenbo et al. 10.1016/j.scitotenv.2021.151044
- Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. 10.5194/esd-13-251-2022
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- Evaluation of daily precipitation analyses in E‐OBS (v19.0e) and ERA5 by comparison to regional high‐resolution datasets in European regions M. Bandhauer et al. 10.1002/joc.7269
- Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution S. Vandeskog et al. 10.1002/env.2719
- High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves K. Handeland et al. 10.1016/j.ijppaw.2021.05.008
- Uncertainty introduced by flood frequency analysis in projections for changes in flood magnitudes under a future climate in Norway D. Lawrence 10.1016/j.ejrh.2020.100675
- Designing and evaluating regional climate simulations for high latitude land use land cover change studies P. Mooney et al. 10.1080/16000870.2020.1853437
- Physical processes driving intensification of future precipitation in the mid- to high latitudes B. Poujol et al. 10.1088/1748-9326/abdd5b
- Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation C. Lussana et al. 10.5194/npg-28-61-2021
- Benefits and added value of convection-permitting climate modeling over Fenno-Scandinavia P. Lind et al. 10.1007/s00382-020-05359-3
- HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales D. Belušić et al. 10.5194/gmd-13-1311-2020
- Constraining the HBV model for robust water balance assessments in a cold climate H. Erlandsen et al. 10.2166/nh.2021.132
- Sampling beetle communities: Trap design interacts with weather and species traits to bias capture rates R. Burner et al. 10.1002/ece3.7029
- Characteristics of precipitation extremes over the Nordic region: added value of convection-permitting modeling E. Médus et al. 10.5194/nhess-22-693-2022
- Gap-filling continuously-measured soil respiration data: A highlight of time-series-based methods J. Zhao et al. 10.1016/j.agrformet.2020.107912
- How Well Are We Measuring Snow Post-SPICE? J. Kochendorfer et al. 10.1175/BAMS-D-20-0228.1
- Atmospheric Precipitation and Anomalous Upper Mantle in Relation to Intraplate Seismicity in Norway Y. Maystrenko et al. 10.1029/2020TC006070
Latest update: 02 Jun 2023
Short summary
seNorge_2018 is a collection of observational gridded datasets for daily total precipitation and daily mean, minimum, and maximum temperature for the Norwegian mainland covering the time period from 1957 to the present day. The fields have 1 km of grid spacing. The data are used for applications in climatology, hydrology, and meteorology. seNorge_2018 provides a "gridded truth", especially in data-dense regions. The uncertainty increases with decreasing data density.
seNorge_2018 is a collection of observational gridded datasets for daily total precipitation and...
