Climate data for Odesa, Ukraine in 2021–2050 based on <scp>EURO‐CORDEX</scp> simulations

Borovska, H. O.; Khokhlov, V. N.

doi:10.1002/gdj3.197

Cited by 4 publications

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The change in climate indicators exceeds the global trend (Petrović et al, 2023), and in combination with the unfavourable domestic environmental situation, this will inevitably increase the impact of global warming on the territory of Ukraine and neighbouring countries (Borovska and Khokhlov, 2023). They lead to the intensification of adverse natural and man-made processes (Timoshuk et al, 2012;Khorolskyi et al, 2019), creating threats and risks to nature, the economy, socioeconomic development, human life and health.…”

Section: Introductionmentioning

confidence: 99%

A comparative assessment of the capabilities and success of the wood construction industry in Slovakia and Ukraine based on life cycle assessment certification standards

Delehan,

Vilčeková,

Melehanych

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

This study assessed the possibility of using wood as a building material for the construction of houses. A comprehensive method was used, which consisted of analysing environmental management regulations, applying the life cycle assessment method to minimise the carbon footprint; using software to calculate the carbon footprint of a wooden house at different stages of the life cycle. The object of study is the carbon footprint of a house built of wood. The Life Cycle Assessment method was used as a methodology for assessing the life cycle. Using the One Click Life Cycle Assessment and Life Cycle Cost software, the carbon footprint of a log house was calculated for the product life cycle stage mentioned above (A1-A3). When calculating the carbon footprint of wood-based building materials, carbon emissions were taken into account not only from the finished products, but also from all other products obtained as a result of logging. When calculating the carbon footprint, greenhouse gas emissions from all activities are estimated. We have obtained data on the life cycle cost of a wooden house in terms of electricity use. Accordingly, we obtained a value of global warming potential (A1-A3) of 0.51 kg CO2 e/kWh. We also obtained data on the life cycle cost of a wooden house in terms of diesel consumption. According to the results of the LCA, the value of the global warming potential due to meeting the water supply/sewage needs is (A1-A3) 0.69 kg CO2 e/m3. The value of the global warming potential due to meeting the heat supply needs of production needs is (A1- A3) 0.13 kg CO2 e/kWh. Based on the information obtained, we can conclude that it is advisable to use a wooden log house as a building material, as the carbon footprint is smaller than that of a brick building. The final section presents the results of calculating the life cycle cost of a wooden house by discount factor and inflation, the results of the life cycle cost of a wooden house by percentage of energy costs, and the results of assessing the life cycle cost of a wooden house (displaying parameters according to the European energy certification scale). Based on the carbon footprint assessment (using the Life Cycle Assessment methodology), economic comparison (Life Cycle Cost and total construction costs), and expert assessment (based on technical and ergonomic parameters) of the two construction technologies, the feasibility and possibility of using wood as a building material was established. The study proves the feasibility of applying the LCA method in the construction industry.

show abstract

Section: Introductionmentioning

confidence: 99%

A comparative assessment of the capabilities and success of the wood construction industry in Slovakia and Ukraine based on life cycle assessment certification standards

Delehan,

Vilčeková,

Melehanych

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation

Khokhlov,

Tuchkovenko,

Loboda

2023

Theor Appl Climatol

Self Cite

View full text Add to dashboard Cite

The bias in the global and regional climate models signi cantly complicates their use in impact studies. A signi cant difference between the observed and model precipitation in the warm months is registered in Odesa for 1970-2005. This difference is probably determined by complex orography and inappropriate parameterization methods for convective processes climate models. In the last fteen years, the average temperature has increased by about 1°C in winter and by 2°C in summer compared with 1970-2005.Considering decreasing precipitation during summer months, it seems that the climate of Odesa is moving towards the Mediterranean climate -warm to hot, dry summers and mild, moderately wet winters. The approach based on selecting representative simulations with minimum average bias and adjusting the choice to the present-day climate is described and applied for Odesa using data from the RCP8.5 scenario simulations of the EURO-CORDEX project and ERA5-Land reanalysis. The approach can be applied separately for monthly near-surface temperature and total precipitation, as well as jointly for these variables, and provides the satisfactory ability to select models for use then in impact studies. The output variables of simulations selected are close to observed ones in recent years and are well to coincide with the ensemble-mean values in the near future, 2021-2050. On the other hand, the scatter of output variables in the selected simulations adequately describes the uncertainty of the future climate.

show abstract

Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation

Khokhlov

Tuchkovenko

Loboda

2023

Preprint

Self Cite

View full text Add to dashboard Cite

The bias in the global and regional climate models significantly complicates their use in impact studies. A significant difference between the observed and model precipitation in the warm months is registered in Odesa for 1970–2005. This difference is probably determined by complex orography and inappropriate parameterization methods for convective processes climate models. In the last fifteen years, the average temperature has increased by about 1°C in winter and by 2°C in summer compared with 1970–2005. Considering decreasing precipitation during summer months, it seems that the climate of Odesa is moving towards the Mediterranean climate – warm to hot, dry summers and mild, moderately wet winters. The approach based on selecting representative simulations with minimum average bias and adjusting the choice to the present-day climate is described and applied for Odesa using data from the RCP8.5 scenario simulations of the EURO-CORDEX project and ERA5-Land reanalysis. The approach can be applied separately for monthly near-surface temperature and total precipitation, as well as jointly for these variables, and provides the satisfactory ability to select models for use then in impact studies. The output variables of simulations selected are close to observed ones in recent years and are well to coincide with the ensemble-mean values in the near future, 2021–2050. On the other hand, the scatter of output variables in the selected simulations adequately describes the uncertainty of the future climate.

show abstract

Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations

Cited by 4 publications

References 45 publications

A comparative assessment of the capabilities and success of the wood construction industry in Slovakia and Ukraine based on life cycle assessment certification standards

A comparative assessment of the capabilities and success of the wood construction industry in Slovakia and Ukraine based on life cycle assessment certification standards

Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation

Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation

Contact Info

Product

Resources

About