Judit Bartholy

ORCID: 0000-0002-3911-7981
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Hungarian Social, Economic and Educational Studies
  • Geophysics and Gravity Measurements
  • Atmospheric and Environmental Gas Dynamics
  • Geological Formations and Processes Exploration
  • Marine and environmental studies
  • Urban Heat Island Mitigation
  • Cryospheric studies and observations
  • Plant Ecology and Soil Science
  • Arctic and Antarctic ice dynamics
  • Climate change and permafrost
  • Hydrology and Drought Analysis
  • Wind Energy Research and Development
  • Science and Climate Studies
  • Hydrology and Watershed Management Studies
  • Remote Sensing and Land Use
  • Climate Change and Health Impacts
  • Tropical and Extratropical Cyclones Research
  • Botany and Plant Ecology Studies
  • Plant Water Relations and Carbon Dynamics
  • Wind and Air Flow Studies
  • Land Use and Ecosystem Services
  • Solar Radiation and Photovoltaics
  • Air Quality and Health Impacts

Eötvös Loránd University
2015-2024

HUN-REN Institute of Earth Physics and Space Science
2022-2023

Pázmány Péter Catholic University
2007-2023

Hungarian Meteorological Service
2023

HUN-REN Centre for Energy Research
2019

National Institute of Meteorology
1999-2013

Uganda National Meteorological Authority
2007-2013

Abstract The Mediterranean is expected to be one of the most prominent and vulnerable climate change “hotspots” twenty-first century, physical mechanisms underlying this finding are still not clear. Furthermore, complex interactions feedbacks involving ocean–atmosphere–land–biogeochemical processes play a role in modulating environment region on range spatial temporal scales. Therefore, it critical provide robust information for use vulnerability–impact–adaptation assessment studies...

10.1175/bams-d-14-00176.1 article EN other-oa Bulletin of the American Meteorological Society 2015-10-15

VALUE is an open European collaboration to intercompare downscaling approaches for climate change research, focusing on different validation aspects (marginal, temporal, extremes, spatial, process‐based, etc.). Here we describe the participating methods and first results from experiment, using “perfect” reanalysis (and reanalysis‐driven regional model (RCM)) predictors assess intrinsic performance of precipitation temperatures over a set 86 stations representative main climatic regions in...

10.1002/joc.5462 article EN International Journal of Climatology 2018-03-23

Credible information about the properties and changes of extreme events on regional local scales is prime importance in context future climate change. Within EU‐COST Action VALUE a comprehensive validation framework for downscaling methods has been developed. Here we present results extremes temperature precipitation from perfect predictor experiment that uses reanalysis‐based predictors to isolate skill. The raw reanalysis output reveals there mostly large bias with respect index values at...

10.1002/joc.5469 article EN International Journal of Climatology 2018-03-06

Temporal variability is an important feature of climate, comprising systematic variations such as the annual cycle, well residual temporal short‐term variations, spells and from interannual to long‐term trends. The EU‐COST Action VALUE developed a comprehensive framework evaluate downscaling methods. Here we present evaluation perfect predictor experiment for variability. Overall, behaviour different approaches turned out be expected their structure implementation. chosen regional climate...

10.1002/joc.5222 article EN International Journal of Climatology 2017-08-18

Expected climate change estimations for the Carpathian basin and especially, Hungary, are summarized 2071-2100 period on basis of results from project PRUDENCE.Different regional models (RCMs) used 50 km as horizontal spatial resolution, evaluated A2 B2 global emission scenarios.Results suggest that in case temperature, a warming trend is evident basin.The largest expected summer.The annual total precipitation not significant.However, significantly large opposite trends different...

10.15666/aeer/0501_001017 article EN Applied Ecology and Environmental Research 2007-07-01

Abstract This paper presents a validation study for high-resolution version of the Regional Climate Model 3 (RegCM3) over Carpathian basin and its surroundings. The horizontal grid spacing model is 10 km—the highest reached by RegCM3. ability to capture temporal spatial variability temperature precipitation region interest evaluated using metrics spanning wide range (daily climatology) (inner domain average local) scales against different observational datasets. simulated period 1961–90....

10.1175/2010jhm1234.1 article EN other-oa Journal of Hydrometeorology 2010-09-07

ABSTRACT The estimated future changes of precipitation and precipitation‐related climate indices for the Carpathian Region are analysed in this paper. Eleven regional model ( RCM ) simulations from ENSEMBLES project taking into account intermediate A1B emission scenario used, hence, analysis also includes uncertainty assessments. Validation results showed that target area overestimate throughout year, except summer, when underestimation occurs. In order to eliminate these systematic errors...

10.1002/joc.5104 article EN International Journal of Climatology 2017-05-03

In the last decade, Regional Climate Models (RCMs) nested in Global (GCMs) have become essential tools to make climate projections with fine spatial resolution. this paper, control runs of RCMs RegCM and PRECIS are discussed compared for Central/Eastern European region. Both three-dimensional, sigma-coordinate, primitive equation models, experiments (1961-1990), they use initial lateral boundary conditions from Centre Medium-range Weather Forecast (ECMWF) reanalysis data sets (ERA-40). For...

10.1504/ijgw.2009.027092 article EN International Journal of Global Warming 2009-01-01

Studies on climate change impacts are essential for identifying vulnerabilities and developing adaptation options. However, such studies depend crucially the availability of reliable data. In this study, we introduce climatological database called FORESEE (Open Database Climate Change Related Impact Studi es in C e ntral E urope), which was developed to support research Central Eastern Europe: region where knowledge possible effects is inadequate. A questionnaire‐based survey used specify...

10.1002/gdj3.22 article EN cc-by-nc-nd Geoscience Data Journal 2015-02-05

10.1016/j.rser.2006.10.009 article EN Renewable and Sustainable Energy Reviews 2006-12-09

Abstract. Four regional climate models (RCMs) were adapted in Hungary for the dynamical downscaling of global projections over Carpathian Basin: (i) ALADIN-Climate model developed by Météo France on basis ALADIN short-range modelling system; (ii) PRECIS available from UK Met Office Hadley Centre; (iii) RegCM originally at US National Center Atmospheric Research, is maintained International Centre Theoretical Physics Trieste; and (iv) REMO Max Planck Institute Meteorology Hamburg. The RCMs...

10.5194/asr-6-69-2011 article EN cc-by Advances in science and research 2011-04-01

In order to support political and economical decision makers by providing climate information for the future, it is essential analyze regional model results. These models are capable describe conditions of individual countries using 25 km horizontal resolution, whereas global too coarse such details. This paper discusses effects warming experiments from PRECIS developed at Hadley Centre UK Met Office. Since was adapted Department Meteorology, Eötvös Loránd University in recent years,...

10.15201/hungeobull.63.1.5 article EN cc-by-nc-nd Hungarian Geographical Bulletin 2014-04-03
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