Temperature characteristics over the Carpathian Basin‐projected changes of climate indices at regional and local scale based on bias‐adjusted <scp>CORDEX</scp> simulations

Simon, Csilla; Kis, Anna; Torma, Csaba

doi:10.1002/joc.8045

Cited by 5 publications

(1 citation statement)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hungarian cities situated in the Carpathian basin face significant changes regarding climatic patterns: according to regional climate models [55][56][57], intensifying heatwaves are projected to occur in parallel with the seasonal dynamics of precipitation patterns and intensity. Moreover, Hungarian cities can be described with relatively high sensitivity and low adaptive capacity through their aging population, ineffective health facilities, and urban sprawl processes [36,[58][59][60].…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal analysis of urban climate dynamics in major Hungarian cities

Buzási,

Beszedics-Jäger,

Hortay

2024

Environ. Res. Commun.

View full text Add to dashboard Cite

Increasing heatwaves are making cities and their populations more vulnerable, parallel to urban sprawl and the aging population in Hungary. The increasing number of hot days is predicted to worsen urban climate anomalies at the local scale, which, in parallel with changing land use patterns, may contribute to a significant increase in vulnerability to heatwaves. Local stakeholders and decision-makers need to understand the critical role of spatiotemporal land use – land cover (LULC) patterns and urban climate aspects to address relevant challenges for urban development. The current literature does not contain a synthesis analysis of major Hungarian cities that includes urban climate and sustainability findings hand by hand; therefore, this study aims to analyze LULC patterns, urban hotspots and surface urban heat island effects. In addition, the Normalized Difference Vegetation Index (NDVI) was determined as an important indicator for assessing the health and density of green spaces in major Hungarian cities from 2006 to 2018 using remote sensing data. Our results show that each city experienced significant urban sprawl, while above-average NDVI areas decreased over time. The average increase in the share of built-up areas was 1.3% from 2006 to 2018, while the calculated average decline in agricultural areas was 2%, so the expansion of residential areas and artificial areas is not the only driving force of this shrinking trend in agricultural areas. Furthermore, we found that urban hotspots are generally concentrated in industrial areas and represent new spaces of heat islands on the outskirts of cities. Székesfehérvár has the most intense industrial heat islands, with the largest proportion of urban hotspots (approximately 3.5% of the total area) concentrated in industrial zones. Our study contributes to uncovering inter-urban processes of land use patterns and urban climate issues in major Hungarian cities, moreover revealing sustainability-related issues from a lock-in perspective.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial-temporal analysis of urban climate dynamics in major Hungarian cities

Buzási,

Beszedics-Jäger,

Hortay

2024

Environ. Res. Commun.

View full text Add to dashboard Cite

show abstract

Convection Permitting Regional Climate Modelling Over the Carpathian Region

Torma,

Giorgi

2024

Earth Syst Environ

View full text Add to dashboard Cite

A preliminary analysis of the performance of the latest version of the RegCM regional modelling system, RegCM5, run at a convection permitting resolution (2 km) over the Carpathian Basin is presented for the following years: 1980, 2006, 2008 and 2010. The performance of the model is assessed using various statistics of surface air temperature and precipitation against the CARPATCLIM high-resolution observational dataset and the ERA5 reanalysis, which also provides the driving field for the simulations. While the model performs generally well, it exhibits a warm bias over the Hungarian lowlands during the warm season and a wet (dry) bias over the mountain chains (flat regions) within the basin. The model also shows a strong orographic forcing of precipitation. In general, RegCM5 has a systematic positive precipitation bias over mountainous regions, which can also be attributed to the relatively low station density of the observation network. The high-resolution model adds value especially for simulating medium to high-intensity precipitation events. Our preliminary experiments provide encouraging indications towards the applicability of RegCM5 to the Carpathian region. Future work will include testing the model with different physics configurations and longer simulations and applying the model to climate change studies over the Carpathian Basin.

show abstract

Evaluating the effectiveness of urban sustainability and climate objectives: a comparative approach

Beszedics-Jäger,

Buzási

2024

Discov Sustain

View full text Add to dashboard Cite

Temperature characteristics over the Carpathian Basin‐projected changes of climate indices at regional and local scale based on bias‐adjusted CORDEX simulations

Cited by 5 publications

References 46 publications

Spatial-temporal analysis of urban climate dynamics in major Hungarian cities

Spatial-temporal analysis of urban climate dynamics in major Hungarian cities

Convection Permitting Regional Climate Modelling Over the Carpathian Region

Evaluating the effectiveness of urban sustainability and climate objectives: a comparative approach

Contact Info

Product

Resources

About