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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26 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. 10.1051/e3sconf/202456601004
- Prognosticators for precipitation variability adopting principal component regression analysis E. Aamir & A. Ghumman 10.1007/s12517-024-12111-2
- Spatiotemporal variations of albedo using MODIS and PCA analysis in Iran A. Karbalaee et al. 10.1007/s00704-021-03596-y
- Effect of hydroclimatological teleconnections on the watershed‐scale drought predictability in the southeastern United States V. Sehgal & V. Sridhar 10.1002/joc.5439
- Spatial varying and co-occurring future climate changes over a heterogeneous river basin: a multivariate approach L. Gehlot et al. 10.2166/wcc.2023.206
- Review of Energy and Climate Plans of Baltic States: The Contribution of Renewables for Energy Production in Households D. Streimikiene et al. 10.3390/en15207728
- INFORMATION AND COMMUNICATON TECHNOLOGIES (ICT) AND SOCIAL DEVELOPMENT: A SOCIAL DEVELOPMENT INDEX RECOMMENDATION FOR TURKEY F. ÖZGÜN 10.30794/pausbed.1291964
- Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran N. Salmani-Dehaghi & N. Samani 10.1007/s00704-019-02872-2
- Essential fragmentation metrics for agricultural policies: Linking landscape pattern, ecosystem service and land use management in urbanizing China L. Wei et al. 10.1016/j.agsy.2020.102833
- Applicability of air enthalpy for heat stress assessment of outdoor environments in different climates of Iran G. Ghalhari et al. 10.1007/s00704-021-03699-6
- Recent seasonally contrasting and persistent warming trends in Latvia A. Kalvāns et al. 10.1007/s00704-023-04540-y
- Climate zones in Iran M. Najafi & O. Alizadeh 10.1002/met.2147
- Exploring trends and variability of climate change indices in the agro‐ecological zones of Pakistan and their driving mechanisms S. Hina et al. 10.1002/joc.8540
- PCA analysis of wind direction climate in the baltic states M. Pogumirskis et al. 10.1080/16000870.2021.1962490
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
- Delineation of most favorable winds for southwest monsoon rainfall along Kerala coast A. V. B. et al. 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. 10.1007/s10661-023-11196-8
- Development of bias-correction PERSIANN-CDR models for the simulation and completion of precipitation time series N. Salmani-Dehaghi & N. Samani 10.1016/j.atmosenv.2020.117981
- How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh M. Rahman et al. 10.1016/j.scitotenv.2020.143161
- 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. 10.1155/2023/5598142
- Habitat Diversity, Environmental Conditions, and Distribution of Endangered Fungus Sarcosoma globosum (Ascomycota) in Lithuania E. Vabuolė et al. 10.3390/jof10040263
- Regional changes in extreme temperature records over Pakistan and their relation to Pacific variability F. Saleem et al. 10.1016/j.atmosres.2020.105407
- Maintaining environmental context and geoprivacy protection in agriculture P. Nowbakht et al. 10.1016/j.inpa.2024.09.001
- Predictive Modelling of Statistical Downscaling Based on Hybrid Machine Learning Model for Daily Rainfall in East-Coast Peninsular Malaysia N. Sulaiman et al. 10.3390/sym14050927
- Development of climate zones for passive cooling techniques in the hot and humid climate of Indonesia I. Putra et al. 10.1016/j.buildenv.2022.109698
- Air temperature perturbation in La Malinche volcano area, Tlaxcala, Mexican Highland H. Muñoz Nava et al. 10.22201/igeof.2954436xe.2024.63.3.1750
Latest update: 23 Dec 2024
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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