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Anna Kis
Anna Kis
Department of Meteorology, Eötvös Loránd University, Budapest, Hungary
Verified email at nimbus.elte.hu
Title
Cited by
Cited by
Year
Estimation of future precipitation conditions for Hungary with special focus on dry periods
R Pongrácz, J Bartholy, A Kis
Időjárás 118 (4), 305-321, 2014
782014
Multi‐model analysis of regional dry and wet conditions for the Carpathian Region
A Kis, R Pongrácz, J Bartholy
International journal of climatology 37 (13), 4543-4560, 2017
652017
Assessment of projected climate change in the Carpathian Region using the Holdridge life zone system
Z Szelepcsényi, H Breuer, A Kis, R Pongrácz, P Sümegi
Theoretical and applied climatology 131, 593-610, 2018
452018
Projected changes of extreme precipitation using multi-model approach
J Bartholy, R Pongrácz, A Kis
QJ Hung. Meteorol. Serv 119, 129-142, 2015
332015
Evaluation of EURO-CORDEX and Med-CORDEX precipitation simulations for the Carpathian Region: Bias corrected data and projected changes
C Torma, A Kis, R Pongrácz
Időjárás/Quarterly Journal of the Hungarian Meteorological Service 124 (1 …, 2020
162020
Multi-scenario and multi-model ensemble of regional climate change projections for the plain areas of the Pannonian Basin
A Kis, R Pongrácz, J Bartholy, M Gocic, M Milanovic
Időjárás/Quarterly Journal of the Hungarian Meteorological Service 124 (2 …, 2020
152020
Bias‐adjustment of high‐resolution temperature CORDEX data over the Carpathian Region: expected changes including the number of summer and frost days
C Torma, A Kis
International Journal of Climatology 2022, 2022
142022
Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs
N Fodor, L Pásztor, B Szabó, A Laborczi, K Pokovai, D Hidy, R Hollós, ...
International Journal of Digital Earth 14 (11), 1582-1601, 2021
122021
Application of RCM results to hydrological analysis.
A Kis, R Pongrácz, J Bartholy, JA Szabó
Idöjárás 121 (4), 2017
102017
591 REGIONAL CLIMATE MODEL EXPERIMENT USING REGCM SUBGRIDDING OPTIONS IN THE FRAMEWORK OF MED-CORDEX
J Bartholy, R Pongrácz, I Pieczka, FD Kelemen, A Kis, K André
102015
Projection of runoff characteristics as a response to regional climate change in a Central/Eastern European catchment
A Kis, R Pongrácz, J Bartholy, JA Szabo
Hydrological Sciences Journal 65 (13), 2256-2273, 2020
92020
Temperature characteristics over the Carpathian Basin‐projected changes of climate indices at regional and local scale based on bias‐adjusted CORDEX simulations
C Simon, A Kis, CZ Torma
International Journal of Climatology 43 (8), 3552-3569, 2023
62023
Human impact promotes sustainable corn production in Hungary
TA Marton, A Kis, A Zubor-Nemes, A Kern, N Fodor
Sustainability 12 (17), 6784, 2020
62020
REGIONAL CLIMATE MODELING STUDY FOR THE CARPATHIAN REGION USING REGCM4 EXPERIMENTS.
I Pieczka, J Bartholy, R Pongrácz, K André, A Kis, FD Kelemen
Air & Water Components of the Environment/Aerul si Apa Componente ale Mediului, 2015
62015
Simulated regional climate change in the Carpathian Basin using ENSEMBLES model simulations
J Bartholy, R Pongracz, E Miklos, A Kis
American Meteorological Society 91st Annual Meeting [www document]. URL http …, 2011
62011
Analyzing the influences of the selection of the RCP scenario and the reference period on the evaluation results of EURO‐CORDEX simulations for Hungary
A Kis, R Pongrácz
International Journal of Climatology 43 (13), 5984-6002, 2023
42023
Spatial and temporal analysis of drought-related climate indices for Hungary for 1971–2100
A Kis, P Szabó, R Pongrácz
Hungarian Geographical Bulletin 72 (3), 223-238, 2023
32023
The role of temperature and the NAO index in the changing snow-related variables in European regions in the period 1900‒2010
A Kis, R Pongrácz
Hungarian Geographical Bulletin 70 (4), 325-337, 2021
32021
Sensitivity of spring phenology simulations to the selection of model structure and driving meteorological data
RÁ Dávid, Z Barcza, A Kern, E Kristóf, R Hollós, A Kis, M Lukac, N Fodor
Atmosphere 12 (8), 963, 2021
32021
Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4. 0 and the FORESEE-HUN v1. 0
A Kern, L Dobor, R Hollós, H Marjanović, CZ Torma, A Kis, N Fodor, ...
Climate services 33, 100443, 2024
22024
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