TY - CONF AU - Szépszó, Gabriella AU - Allaga-Zsebeházi, Gabriella AU - Bordi, Sára AU - Megyeri-Korotaj, Otília Anna AU - Schuchné, Bán Beatrix AU - Zempléni, Zsuzsanna ED - Lakatos, Mónika ED - Mészáros, Róbert TI - Az éghajlatváltozás hatásainak komplex vizsgálatát támogató információs rendszer fejlesztése T2 - Multidiszciplináris válaszok az éghajlatváltozás kihívásaira AZ ELŐADÁSOK ÖSSZEFOGLALÓI PY - 2023 SP - 9 UR - https://m2.mtmt.hu/api/publication/34751415 ID - 34751415 LA - Hungarian DB - MTMT ER - TY - CONF AU - Komjáti, Kornél AU - Csirmaz, Kálmán AU - Breuer, Hajnalka AU - Kurcsics, Máté AU - Horváth, Ákos TI - Supercell interactions with surface baroclinic zones in the Carpathian Basin T2 - 11th European Conference on Severe Storms Conference Abstracts PY - 2023 DO - 10.5194/ecss2023-39 UR - https://m2.mtmt.hu/api/publication/34011258 ID - 34011258 LA - English DB - MTMT ER - TY - JOUR AU - Szentes, Olivér AU - Lakatos, M. AU - Pongrácz, Rita TI - New homogenized precipitation database for Hungary from 1901 JF - INTERNATIONAL JOURNAL OF CLIMATOLOGY J2 - INT J CLIMATOL VL - 43 PY - 2023 IS - 10 SP - 4457 EP - 5571 PG - 1115 SN - 0899-8418 DO - 10.1002/joc.8097 UR - https://m2.mtmt.hu/api/publication/33834130 ID - 33834130 N1 - Export Date: 19 May 2023; Cited By: 0; Correspondence Address: O. Szentes; Climate Department, Hungarian Meteorological Service, Budapeste, Kitaibel Pál u.1, 1024, Hungary; email: szentes.o@met.hu; CODEN: IJCLE LA - English DB - MTMT ER - TY - JOUR AU - Megyeri-Korotaj, Otília Anna AU - Bán, Beatrix AU - Suga, Réka AU - Allaga-Zsebeházi, Gabriella AU - Szépszó, Gabriella TI - Assessment of Climate Indices over the Carpathian Basin Based on ALADIN5.2 and REMO2015 Regional Climate Model Simulations JF - ATMOSPHERE J2 - ATMOSPHERE-BASEL VL - 14 PY - 2023 IS - 3 SP - 448 SN - 2073-4433 DO - 10.3390/atmos14030448 UR - https://m2.mtmt.hu/api/publication/33661638 ID - 33661638 AB - The Hungarian Meteorological Service has been conducting climate model simulations in order to assess the effects of climate change in the Carpathian Basin and provide data for impact research and stakeholders. Two regional climate models are used: ALADIN-Climate 5.2 (hereafter ALADIN5.2) and REMO2015. They were tested for the past when the lateral boundary conditions were taken from two sources. ERA-Interim reanalysis was used in the evaluation experiment, while the CNRM-CM5 and the MPI-ESM-LR global climate models (GCM) provided the forcings in the control experiments. The model outputs were compared with the CarpatClim-HU observational dataset for the 1981−2000 period. Future projections were carried out with the RCP4.5 and RCP8.5 scenarios, and the results were analyzed for 2021–2050 and 2071–2100. The evaluation of the results focused mainly on climate indices calculated from temperature and precipitation. The validation results showed that REMO2015 assessed the mean temperature well, but the indices based on the minimum and maximum temperature had a significant bias which has to be taken into account when interpreting future changes. The model overestimated the minimum temperature in summer, which might affect the number of tropical nights. Moreover, the maximum temperature was underestimated; thus, the derived indices, such as the occurrence of summer days and hot days, were profoundly underestimated. In comparison, ALADIN5.2 had smaller biases for the high temperature indices; moreover, the number of hot days and extremely cold days was overestimated. Taking future projections into account, we can clearly see that the results of REMO2015 show a much more moderate increase in temperature than ALADIN5.2. The reasons are yet unknown and require further investigation. In spring and summer, the number of wet days was slightly overestimated, while the number of heavy precipitation days was marginally underestimated. The projections showed the highest uncertainty in the changes in mean summer precipitation and other precipitation indices. Although the REMO2015 model assessed a decrease in precipitation, ALADIN5.2 projected an increase in precipitation with a similar magnitude. LA - English DB - MTMT ER - TY - GEN AU - Kolláth, Kornél TI - Meteorológiai előrejelzések bizonytalansága CY - 2022. november 22. 18.45 PY - 2022 UR - https://m2.mtmt.hu/api/publication/33366207 ID - 33366207 LA - Hungarian DB - MTMT ER - TY - GEN AU - Allaga-Zsebeházi, Gabriella AU - Bán, Beatrix AU - Kovácsné, Izsák Beatrix AU - Szépszó, Gabriella TI - Az éghajlatváltozás magyarországi hatásainak feltérképezése regionális klímamodell-szimulációk elvégzésével és reprezentatív adatbázis fejlesztésével PY - 2022 PG - 20 UR - https://m2.mtmt.hu/api/publication/33215640 ID - 33215640 LA - Hungarian DB - MTMT ER - TY - GEN AU - Allaga-Zsebeházi, Gabriella AU - Bán, Beatrix AU - Szépszó, Gabriella TI - Kisokos a klímamodell-eredmények gyakorlati felhasználására PY - 2022 PG - 28 UR - https://m2.mtmt.hu/api/publication/33215636 ID - 33215636 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Király, Éva Ilona AU - Börcsök, Zoltán AU - Kocsis, Zoltán AU - Németh, Gábor AU - Polgár, András AU - Borovics, Attila TI - Carbon Sequestration in Harvested Wood Products in Hungary an Estimation Based on the IPCC 2019 Refinement JF - FORESTS J2 - FORESTS VL - 13 PY - 2022 IS - 11 PG - 15 SN - 1999-4907 DO - 10.3390/f13111809 UR - https://m2.mtmt.hu/api/publication/33204929 ID - 33204929 AB - As wood products in use store carbon and can contribute to reducing the concentration of atmospheric CO2, the improved and enhanced use of wood products can be a successful measure in climate change mitigation. This study estimates the amount of carbon stored in the Hungarian harvested wood product (HWP) pool and the CO2 emissions and removals of the pool. According to our results, the total carbon stock of the Hungarian HWP pool is continuously increasing. We estimated the total carbon stock of the HWP pool to be 17,306 kt C in the year 2020. Our results show that the HWP pool in Hungary is a carbon sink in most parts of the time series, with some years where it turns to a source of emissions. We carried out a simple projection up to 2070, assuming a constant inflow for the projected years that is equal to the average inflow of the last five historic years. This resulted in a decreasing trend in CO2 removals, with removals already very close to zero in 2070. We concluded that in order to achieve significant future carbon sinks in the HWP pool technological improvements are needed, such as increasing the lifetime of the wood products and expanding the carbon storage capacity of wood products by reusing and recycling wood in a cascade system. LA - English DB - MTMT ER - TY - JOUR AU - Komjáti, Kornél AU - Varga, Ákos János AU - Méri, Ladislav AU - Breuer, Hajnalka AU - Csirmaz, Kálmán AU - Kun, Sándor TI - Investigation of a supercell merger leading to the Czech Republic EF4 1 tornado (24 June 2021) using radar data and numerical model output JF - IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE J2 - IDŐJÁRÁS VL - 126 PY - 2022 IS - 4 SP - 458 EP - 480 PG - 23 SN - 0324-6329 DO - 10.28974/idojaras.2022.4.2 UR - https://m2.mtmt.hu/api/publication/33106177 ID - 33106177 LA - English DB - MTMT ER - TY - JOUR AU - Bölöni, Gergely AU - Kim, Young-Ha AU - Borchert, Sebastian AU - Achatz, Ulrich TI - Toward Transient Subgrid-Scale Gravity Wave Representation in Atmospheric Models. Part I: Propagation Model Including Nondissipative Wave–Mean-Flow Interactions JF - JOURNAL OF THE ATMOSPHERIC SCIENCES J2 - J ATMOS SCI VL - 78 PY - 2021 IS - 4 SP - 1317 EP - 1338 PG - 22 SN - 0022-4928 DO - 10.1175/JAS-D-20-0065.1 UR - https://m2.mtmt.hu/api/publication/34267022 ID - 34267022 N1 - Funding Agency and Grant Number: German Research Foundation (DFG) through the research unit Multiscale Dynamics of Gravity Waves (MS-GWaves); German Research Foundation (DFG) [AC 71/8-2, AC 71/9-2, AC 71/10-2, AC 71/11-2, AC 71/12-2, BO 5071/2-2, BO 5071/1-2, ZA 268/10-2]; Deutsches Klimarechenzentrum (DKRZ) - Scientific Steering Committee (WLA) [bb1097] Funding text: The authors thank the German Research Foundation (DFG) for partial support through the research unit Multiscale Dynamics of Gravity Waves (MS-GWaves) and through Grants AC 71/8-2, AC 71/9-2, AC 71/10-2, AC 71/11-2, AC 71/12-2, BO 5071/2-2, BO 5071/1-2, and ZA 268/10-2. Calculations for this research were conducted on the supercomputer facilities of the Center for Scientific Computing of the Goethe University Frankfurt. This work also used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under Project bb1097. AB - Current gravity wave (GW) parameterization (GWP) schemes are using the steady-state assumption, in which an instantaneous balance between GWs and mean flow is postulated, thereby neglecting transient, nondissipative interactions between the GW field and the resolved flow. These schemes rely exclusively on wave dissipation, by GW breaking or near critical layers, as a mechanism leading to forcing of the mean flow. In a transient GWP, without the steady-state assumption, nondissipative wave–mean-flow interactions are enabled as an additional mechanism. Idealized studies have shown that this is potentially important, and therefore the transient GWP Multiscale Gravity Wave Model (MS-GWaM) has been implemented into a state-of-the-art weather and climate model. In this implementation, MS-GWaM leads to a zonal-mean circulation that agrees well with observations and increases GW momentum-flux intermittency as compared with steady-state GWPs, bringing it into better agreement with superpressure balloon observations. Transient effects taken into account by MS-GWaM are shown to make a difference even on monthly time scales: in comparison with steady-state GWPs momentum fluxes in the lower stratosphere are increased and the amount of missing drag at Southern Hemispheric high latitudes is decreased to a modest but nonnegligible extent. An analysis of the contribution of different wavelengths to the GW signal in MS-GWaM suggests that small-scale GWs play an important role down to horizontal and vertical wavelengths of 50 km (or even smaller) and 200 m, respectively. LA - English DB - MTMT ER -