Articles | Volume 8, issue 4
https://doi.org/10.5194/esd-8-951-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-8-951-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Oct 2017
Research article |
| 26 Oct 2017
Climate indices for the Baltic states from principal component analysis
Liga Bethere
CORRESPONDING AUTHOR
Laboratory for Mathematical Modelling of Environmental and
Technological Processes, University of Latvia, Riga LV-1002,
Latvia
Juris Sennikovs
Laboratory for Mathematical Modelling of Environmental and
Technological Processes, University of Latvia, Riga LV-1002,
Latvia
Uldis Bethers
Laboratory for Mathematical Modelling of Environmental and
Technological Processes, University of Latvia, Riga LV-1002,
Latvia
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Cited
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35 citations as recorded by crossref.
- Dimensionality Reduction of the CORDEX-CA GCM-RCM Multimodel-ensemble on Precipitation using Principal Component Analysis (PCA) and Hierarchical Clustering (HC) M. Mendez et al. https://doi.org/10.1051/e3sconf/202456601004
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- Four Decades of Climate Change (1981–2020) in the South-Eastern Baltic Region: trends and spatial patterns of air temperature and precipitation extremes D. Gaeva et al. https://doi.org/10.1007/s00704-026-06207-w
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- Spatiotemporal variations of albedo using MODIS and PCA analysis in Iran A. Karbalaee et al. https://doi.org/10.1007/s00704-021-03596-y
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- Review of Energy and Climate Plans of Baltic States: The Contribution of Renewables for Energy Production in Households D. Streimikiene et al. https://doi.org/10.3390/en15207728
- INFORMATION AND COMMUNICATON TECHNOLOGIES (ICT) AND SOCIAL DEVELOPMENT: A SOCIAL DEVELOPMENT INDEX RECOMMENDATION FOR TURKEY F. ÖZGÜN https://doi.org/10.30794/pausbed.1291964
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- PCA analysis of wind direction climate in the baltic states M. Pogumirskis et al. https://doi.org/10.1080/16000870.2021.1962490
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. https://doi.org/10.1016/j.ejrh.2023.101416
- Delineation of most favorable winds for southwest monsoon rainfall along Kerala coast A. V. B. et al. https://doi.org/10.1007/s00704-023-04596-w
- Spatiotemporal variability of extreme temperature indices and their implications over the heterogeneous river basin, India S. Jibhakate et al. https://doi.org/10.1007/s10661-023-11196-8
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- Training a hidden Markov model with PMDI and temperature to create climate informed scenarios B. Tezcan & M. Garcia https://doi.org/10.3389/frwa.2025.1472695
- The Geographical Coexist of the Migratory Birds, Ticks, and Nairobi Sheep Disease Virus May Potentially Contribute to the Passive Spreading of Nairobi Sheep Disease K. Kim et al. https://doi.org/10.1155/2023/5598142
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Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We define three new climate indices based on monthly mean temperature and total precipitation values that describe the main features of the climate in the Baltic states. Higher values in each index correspond to (1) less distinct seasonality and (2) warmer and (3) wetter climate. It was calculated that in the future all three indices will increase. Such indices summarize and illustrate the spatial features of the Baltic climate, and they can be used in further analysis of climate change impact.
We define three new climate indices based on monthly mean temperature and total precipitation...
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