TY - JOUR AU - Frankignoul, C AU - Raillard, L AU - Ferster, B AU - Kwon, YO TI - Arctic September sea ice concentration biases in CMIP6 models and their relationships with other model variables JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 37 PY - 2024 IS - 16 SP - 4257 EP - 4274 PG - 18 SN - 0894-8755 DO - 10.1175/JCLI-D-23-0452.1 UR - https://m2.mtmt.hu/api/publication/34969309 ID - 34969309 AB - The models that participated in the Coupled Model Intercomparison Project (CMIP) exhibit large biases in Arctic sea ice climatology that seem related to biases in seasonal atmospheric and oceanic circulations. Using historical runs of 34 CMIP6 models from 1979 to 2014, we investigate the links between the climatological sea ice concentration (SIC) biases in September and atmospheric and oceanic model climatologies. The main inter-model spread of September SIC is well described by two leading EOFs, which together explain ∼65% of its variance. The first EOF represents an underestimation or overestimation of SIC in the whole Arctic, while the second EOF describes opposite SIC biases in the Atlantic and Pacific sectors. Regression analysis indicates that the two SIC modes are closely related to departures from the multi-model mean of Arctic surface heat fluxes during summer, primarily shortwave and longwave radiation, with incoming Atlantic Water playing a role in the Atlantic sector. Local and global links with summer cloud cover, low-level humidity, upper or lower troposphere temperature/circulation, and oceanic variables are also found. As illustrated for three climate models, the local relationships with the SIC biases are mostly similar in the Arctic across the models but show varying degrees of Atlantic inflow influence. On global scale, a strong influence of the summer atmospheric circulation on September SIC is suggested for one of the three models, while the atmospheric influence is primarily via thermodynamics in the other two. Clear links to the North Atlantic Ocean circulation are seen in one of the models. LA - English DB - MTMT ER - TY - JOUR AU - Qi, M AU - Ding, R AU - Zhang, M AU - Luo, N AU - Lin, R AU - Zhang, Y AU - Wang, Y TI - Unraveling the impact of external forcing and internal variability on dust storm frequency reduction in Northwest China JF - CLIMATE DYNAMICS J2 - CLIM DYNAM VL - 62 PY - 2024 IS - 3 SP - 1849 EP - 1860 PG - 12 SN - 0930-7575 DO - 10.1007/s00382-023-06999-x UR - https://m2.mtmt.hu/api/publication/34299847 ID - 34299847 N1 - State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China Quanzhou Meteorological Bureau, Quanzhou, 362000, China Zhuhai Meteorological Bureau, Zhuhai, 519000, China Yiliang Meteorological Bureau, Yiliang, 652199, China Export Date: 27 February 2024 Correspondence Address: Ding, R.; State Key Laboratory of Earth Surface Processes and Resource Ecology, China; email: drq@bnu.edu.cn LA - English DB - MTMT ER - TY - JOUR AU - Wu, YH. AU - Huang, CZ. AU - Huang, WW. AU - Chen, XJ. TI - Projected Changes in Temperature and Precipitation over Canada in the 21st Century JF - JOURNAL OF ENVIRONMENTAL INFORMATICS J2 - J ENVIRON INFORM VL - In press PY - 2024 SN - 1726-2135 DO - 10.3808/jei.202400522 UR - https://m2.mtmt.hu/api/publication/35172950 ID - 35172950 AB - Climate change is one of the most urgent and challenging issues in Canada. In this study, high-resolution climate projections over Canada have been developed through the WRF model. The spatial and temporal variations of Canada’s temperature and precipitation in the 21st century have been comprehensively analyzed. It is found that the annual mean temperature over Canada is projected to increase by [1.53, 1.98], [2.51, 3.86], and [2.94, 6.19]°C in the 2030s, the 2050s, and the 2080s under RCP4.5 and RCP8.5 respectively, with the largest increase in winter. The annual total precipitation is projected to increase by [16.33, 68.96], [64.80, 121.62], and [123.62, 184.33] mm in three future periods under RCP4.5 and RCP8.5 respectively. It is also found that sea surface temperatures (SST) anomalies and 500 hPa geopotential height (GPH) have strong impacts on Canada’s annual and seasonal precipitations. The results can provide valuable information for mitigation and adaptation of climatic changes in a Canadian context. LA - English DB - MTMT ER - TY - JOUR AU - Wyburn-Powell, C AU - Jahn, A TI - Large-Scale Climate Modes Drive Low-Frequency Regional Arctic Sea Ice Variability JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 37 PY - 2024 IS - 16 SP - 4313 EP - 4333 PG - 21 SN - 0894-8755 DO - 10.1175/JCLI-D-23-0326.1 UR - https://m2.mtmt.hu/api/publication/35275639 ID - 35275639 AB - Summer Arctic sea ice is declining rapidly but with superimposed variability on multiple time scales that introduces large uncertainties in projections of future sea ice loss. To better understand what drives at least part of this variability, we show how a simple linear model can link dominant modes of climate variability to low-frequency regional Arctic sea ice concentration (SIC) anomalies. Focusing on September, we find skillful projections from global climate models (GCMs) from phase 6 of the Coupled Model Intercomparison Project (CMIP6) at lead times of 4–20 years, with up to 60% of observed low-frequency variability explained at a 5-yr lead time. The dominant driver of low-frequency SIC variability is the interdecadal Pacific oscillation (IPO) which is positively correlated with SIC anomalies in all regions up to a lead time of 15 years but with large uncertainty between GCMs and internal variability realization. The Niño-3.4 index and Atlantic multidecadal oscillation have better agreement between GCMs of being positively and negatively related, respectively, with low-frequency SIC anomalies for at least 10-yr lead times. The large variations between GCMs and between members within large ensembles indicate the diverse simulation of teleconnections between the tropics and Arctic sea ice and the dependence on the initial climate state. Further, the influence of the Niño-3.4 index was found to be sensitive to the background climate. Our results suggest that, based on the 2022 phases of dominant climate variability modes, enhanced loss of sea ice area across the Arctic is likely during the next decade. LA - English DB - MTMT ER - TY - THES AU - Wyburn-Powell, CR TI - Reducing Uncertainty of Simulated Internal Variability of Arctic Sea Ice PB - University of Colorado Boulder PY - 2024 SN - 9798382718378 UR - https://m2.mtmt.hu/api/publication/35050335 ID - 35050335 LA - English DB - MTMT ER - TY - JOUR AU - Fan, Z TI - Comparative Analysis and Assessment of Artic Sea Ice: Predictions from CMIP6 Models Amid Global Climate Change JF - ACADEMIC JOURNAL OF SCIENCE AND TECHNOLOGY J2 - AJST VL - 8 PY - 2023 IS - 1 SP - 94 EP - 99 PG - 6 SN - 2771-3032 DO - 10.54097/ajst.v8i1.14003 UR - https://m2.mtmt.hu/api/publication/34396843 ID - 34396843 AB - Amid global climate change urgency, accurate model predictions are paramount for informed interventions. However, the disparity among prediction models highlights a pressing research gap requiring a deeper and more comprehensive comparison of the differences and consistency of the different models in climate change prediction. This research undertook a comprehensive analysis of 18 CMIP-6 models, aiming to provide a comprehensive comparison and cohesive prediction of ice mass and ice area from 1960 to 2050. The models consistently forecast a substantial decline in Arctic ice coverage and volume. Without marked reductions in carbon emissions, Arctic glaciers are projected to vanish entirely by the close of the century. Furthermore, the correlation analysis results indicate that there is a significant interdependence between sea ice area and sea ice mass was observed, with Pearson R2 approximately 0.908. Notably, models varied regarding the precise year of the Arctic's complete ice loss, spotlighting the inherent uncertainties of current predictions and the pressing need for mitigation measures. The study illuminates the pressing urgency for a globally coordinated response to carbon emissions and serves as a clarion call for enhanced research into the intricacies of climate change and glacier melting processes to refine future predictions. LA - English DB - MTMT ER - TY - JOUR AU - Feng, X AU - Ding, Q AU - Wu, L AU - Jones, C AU - Wang, H AU - Bushuk, M AU - Topál, Dániel TI - Comprehensive representation of tropical-extratropical teleconnections obstructed by tropical Pacific convection biases in CMIP6 JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 36 PY - 2023 IS - 20 SP - 7041 EP - 7059 PG - 45 SN - 0894-8755 DO - 10.1175/JCLI-D-22-0523.1 UR - https://m2.mtmt.hu/api/publication/34063641 ID - 34063641 N1 - Export Date: 27 February 2024 Correspondence Address: Ding, Q.; Department of Geography, United States; email: qinghua@ucsb.edu AB - The central role of tropical sea surface temperature (SST) variability in modulating Northern Hemisphere (NH) extratropical climate has long been known. However, the prevailing pathways of teleconnections in observations and the ability of climate models to replicate these observed linkages remain elusive. Here, we apply maximum covariance analysis between atmospheric circulation and tropical SST to reveal two co-existing tropical-extratropical teleconnections albeit with distinctive spatiotemporal characteristics. The first mode, resembling the Pacific-North American (PNA) pattern, favors a Tropical-Arctic in-phase (warm-Pacific-warm-Arctic) teleconnection in boreal spring and winter. However, the second mode, with a slight seasonal preference of summer, is manifested as an elongated Rossby-wave train emanating from the tropical eastern Pacific that features an out-of-phase relationship (cold-Pacific-warm-Arctic) between tropical central Pacific SSTs and temperature variability over the Arctic (referred to as the PARC mode). While climate models participating in CMIP6 appear to successfully simulate the PNA mode and its temporal characteristics, the majority of models’ skill in reproducing the PARC mode is obstructed to some extent by biases in simulating low-frequency SST and rainfall variability over the tropical eastern Pacific and the climatological mean flow over the North Pacific during boreal summer. Considering the contribution of the PARC mode in shaping low frequency climate variations over the past 42 years from the tropics to the Arctic, improving models’ capability to capture the PARC mode is essential to reduce uncertainties associated with decadal prediction and climate change projection over the NH. LA - English DB - MTMT ER - TY - JOUR AU - Han, JS AU - Park, HS AU - Chung, ES TI - Projections of central arctic summer sea surface temperatures in CMIP6 JF - ENVIRONMENTAL RESEARCH LETTERS J2 - ENVIRON RES LETT VL - 18 PY - 2023 IS - 12 SN - 1748-9326 DO - 10.1088/1748-9326/ad0c8a UR - https://m2.mtmt.hu/api/publication/34342031 ID - 34342031 N1 - Department of Marine Science and Convergence Engineering, Hanyang University, Ansan, South Korea Korea Polar Research Institute, Incheon, South Korea Cited By :1 Export Date: 27 February 2024 Correspondence Address: Park, H.-S.; Department of Marine Science and Convergence Engineering, South Korea; email: hspark1@gmail.com AB - One of the most dramatic climate responses to future global warming is the near-disappearance of the perennial sea ice cover in the central Arctic Ocean, a phenomenon known as the ice-free summer Arctic. The immediate consequence of an ice-free Arctic would be the surface warming of the central Arctic Ocean, where sea surface temperatures (SSTs) used to be at freezing levels. Through an analysis of climate models participating in the Climate Model Intercomparison Project Phase-6 (CMIP6), this study demonstrates a wide range of responses in the central Arctic SSTs in August–September as a result of the projected ice-free summer Arctic. These responses vary from 0.7 to 8 °C in the shared socioeconomic pathway 2 (SSP2-4.5), referred to as the ‘middle of the road’ scenario, in which socioeconomic and technological trends do not significantly deviate from historical patterns. The extent of the Central Arctic sea surface warming in August–September is found to have a loose correlation with the September sea ice extent, but a stronger connection to the sea ice extent during spring to early summer (May–July), when incoming shortwave radiation is most intense. In certain climate models, the perennial sea ice cover disappears completely in September, causing central Arctic SSTs to rise by 5–8 °C by the end of the 21st century. This leads to a bimodal distribution of annual SSTs. Further analysis reveals a close relationship between mid-summer SSTs in the central Arctic Ocean and preceding winter sea ice thickness. This underscores the significance of winter sea ice thickness in predicting future Arctic surface warming and marine heatwaves. LA - English DB - MTMT ER - TY - THES AU - He, Z TI - The Impacts of Atlantic and Pacific Sea Surface Temperature Variability on South American and Arctic Climate PB - State University of New York at Albany PY - 2023 SN - 9798379491994 UR - https://m2.mtmt.hu/api/publication/34485257 ID - 34485257 LA - English DB - MTMT ER - TY - JOUR AU - Luo, R AU - Ding, Q AU - Baxter, I AU - Chen, X AU - Wu, Z AU - Bushuk, M AU - Wang, H TI - Uncertain role of clouds in shaping summertime atmosphere-sea ice connections in reanalyses and CMIP6 models JF - CLIMATE DYNAMICS J2 - CLIM DYNAM VL - 61 PY - 2023 SP - 1973 EP - 1994 PG - 22 SN - 0930-7575 DO - 10.1007/s00382-023-06785-9 UR - https://m2.mtmt.hu/api/publication/33764088 ID - 33764088 N1 - Deep-Sea Multidisciplinary Research Center, Laoshan Laboratory, Qingdao, 266237, China Frontiers Science Center for Deep Ocean Multi-Spheres and Earth System, Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, 266100, China Department of Geography, and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA 93106, United States Department of Atmospheric and Oceanic Sciences Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, United States Atmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States Export Date: 27 February 2024 Correspondence Address: Luo, R.; Deep-Sea Multidisciplinary Research Center, China; email: rluo@qnlm.ac AB - Downwelling longwave radiation (DLR) driven by the atmospheric and cloud conditions in the troposphere is suggested to be a dominant factor to determine the summertime net surface energy budget over the Arctic Ocean and thus plays a key role to shape the September sea ice. We use reanalyses and the self-organizing map (SOM) method to distinguish CMIP6 model performance in replicating the observed strong atmosphere-DLR connection. We find all models can reasonably simulate the linkage between key atmosphere variables and the clear sky DLR but behave differently in replicating the atmosphere-DLR connection due to cloud forcing. In ERA5 and strongly coupled models, tropospheric high pressure is associated with decreased clouds in the mid- and high-levels and increased clouds near the surface. This out-of-phase structure indicates that DLR cloud forcing is nearly neutral, making the clear sky DLR more important to bridge JJA circulation to late-summer sea ice. In MERRA-2 and weakly coupled models, tropospheric clouds display a vertically homogeneous reduction; the cloud DLR is thus strongly reduced due to the cooling effect, which partially cancels out the clear sky DLR and makes the total DLR less efficient to translate circulation forcing to sea ice. The differences of cloud vertical distribution in CMIP6 appear to be differentiated by circulation related relative humidity. Therefore, a better understanding of the discrepancy of different reanalyses and remote sensing products is critical to comprehensively evaluate simulated interactions among circulation, clouds, sea ice and energy budget at the surface in summer. LA - English DB - MTMT ER - TY - THES AU - Luostarinen, T TI - SEDIMENTARY SEA-ICE PROXIES IN THE ARCTIC: SEASONAL PRODUCTION, VERTICAL EXPORT AND TAXONOMIC INSIGHTS PB - University of Helsinki PY - 2023 SP - 73 UR - https://m2.mtmt.hu/api/publication/34055934 ID - 34055934 LA - English DB - MTMT ER - TY - JOUR AU - Sweeney, AJ. AU - Fu, Q AU - Po‐Chedley, S AU - Wang, H AU - Wang, M TI - Internal Variability Increased Arctic Amplification During 1980–2022 JF - GEOPHYSICAL RESEARCH LETTERS J2 - GEOPHYS RES LETT VL - 50 PY - 2023 IS - 24 SN - 0094-8276 DO - 10.1029/2023GL106060 UR - https://m2.mtmt.hu/api/publication/34440622 ID - 34440622 N1 - Export Date: 27 February 2024 CODEN: GPRLA Correspondence Address: Sweeney, A.J.; Department of Atmospheric Sciences, United States; email: aodhan@uw.edu Correspondence Address: Fu, Q.; Department of Atmospheric Sciences, United States; email: qfu@uw.edu AB - Since 1980, the Arctic surface has warmed four times faster than the global mean. Enhanced Arctic warming relative to the global average warming is referred to as Arctic Amplification (AA). While AA is a robust feature in climate change simulations, models rarely reproduce the observed magnitude of AA, leading to concerns that models may not accurately capture the response of the Arctic to greenhouse gas emissions. Here, we use CMIP6 data to train a machine learning algorithm to quantify the influence of internal variability in surface air temperature trends over both the Arctic and global domains. Application of this machine learning algorithm to observations reveals that internal variability increases the Arctic warming but slows global warming in recent decades, inflating AA since 1980 by 38% relative to the externally forced AA. Accounting for the role of internal variability reconciles the discrepancy between simulated and observed AA. LA - English DB - MTMT ER - TY - JOUR AU - Topál, Dániel AU - Ding, Q TI - Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections JF - NATURE CLIMATE CHANGE J2 - NAT CLIM CHANGE VL - 13 PY - 2023 SP - 710 EP - 718 PG - 9 SN - 1758-678X DO - 10.1038/s41558-023-01698-1 UR - https://m2.mtmt.hu/api/publication/33872756 ID - 33872756 N1 - Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences (MTA-Centre for Excellence), ELKH, Budapest, Hungary Department of Geography and Earth Research Institute, University of California–Santa Barbara, Santa Barbara, CA, United States Earth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium Export Date: 1 December 2023 Correspondence Address: Topál, D.; Institute for Geological and Geochemical Research, Hungary; email: daniel.topal@uclouvain.be Correspondence Address: Ding, Q.; Department of Geography and Earth Research Institute, United States; email: qinghua@ucsb.edu LA - English DB - MTMT ER - TY - JOUR AU - Wang, S AU - Foster, A AU - Lenz, EA. AU - Kessler, JD. AU - Stroeve, JC. AU - Anderson, LO. AU - Turetsky, M AU - Betts, R AU - Zou, S AU - Liu, W AU - Boos, WR. AU - Hausfather, Z TI - Mechanisms and Impacts of Earth System Tipping Elements JF - REVIEWS OF GEOPHYSICS J2 - REV GEOPHYS VL - 61 PY - 2023 IS - 1 SN - 8755-1209 DO - 10.1029/2021RG000757 UR - https://m2.mtmt.hu/api/publication/33669220 ID - 33669220 N1 - The Breakthrough Institute, Berkeley, CA, United States Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States University of Hawaiʻi Sea Grant College Program, University of Hawaiʻi at Mānoa, Honolulu, HI, United States Department of Earth & Environmental Sciences, University of Rochester, Rochester, NY, United States Centre for Earth Observation Science, University of Manitoba, Winnipeg, MB, Canada Department of Earth Sciences, University College London, London, United Kingdom National Snow and Ice Data Center, University of Colorado, Boulder, CO, United States National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil Department of Ecology and Evolutionary Biology, Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States Met Office, Exeter, United Kingdom Global Systems Institute, University of Exeter, Exeter, United Kingdom State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China Department of Earth and Planetary Sciences, University of California Riverside, Riverside, CA, United States Department of Earth and Planetary Science, University of California, Berkeley, CA, United States Berkeley Earth, Berkeley, CA, United States Stripe, South San Francisco, CA, United States Cited By :9 Export Date: 27 February 2024 Correspondence Address: Wang, S.; The Breakthrough InstituteUnited States; email: seaver@thebreakthrough.org LA - English DB - MTMT ER - TY - THES AU - Wu, Y TI - Development of High-Resolution Climate Projections over Canada in the 21st Century PB - The University of Regina (Canada) PY - 2023 SN - 9798380716406 UR - https://m2.mtmt.hu/api/publication/34744280 ID - 34744280 LA - English DB - MTMT ER - TY - JOUR AU - Baxter, I AU - Ding, Q TI - An optimal atmospheric circulation mode in the Arctic favoring strong summertime sea ice melting and ice-albedo feedback JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 35 PY - 2022 IS - 20 SP - 3027 EP - 3045 PG - 42 SN - 0894-8755 DO - 10.1175/JCLI-D-21-0679.1 UR - https://m2.mtmt.hu/api/publication/32915638 ID - 32915638 N1 - Cited By :2 Export Date: 27 February 2024 Correspondence Address: Baxter, I.; Department of Geography, United States; email: itbaxter@ucsb.edu LA - English DB - MTMT ER - TY - JOUR AU - Ding, Q AU - Schweiger, A AU - Baxter, I TI - Nudging observed winds in the Arctic to quantify associated sea ice loss from 1979 to 2020 JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 35 PY - 2022 IS - 20 SP - 3197 EP - 3213 PG - 33 SN - 0894-8755 DO - 10.1175/JCLI-D-21-0893.1 UR - https://m2.mtmt.hu/api/publication/32980595 ID - 32980595 N1 - Department of Geography, Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA, United States Cited By :6 Export Date: 27 February 2024 Correspondence Address: Ding, Q.; Department of Geography, United States; email: qinghua@ucsb.edu LA - English DB - MTMT ER - TY - JOUR AU - Labe, ZM. AU - Barnes, EA. TI - Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks JF - EARTH AND SPACE SCIENCE J2 - EARTH SPACE SCI VL - 9 PY - 2022 IS - 7 SN - 2333-5084 DO - 10.1029/2022EA002348 UR - https://m2.mtmt.hu/api/publication/33024061 ID - 33024061 N1 - Cited By :3 Export Date: 27 February 2024 Correspondence Address: Labe, Z.M.; Department of Atmospheric Science, United States; email: zmlabe@rams.colostate.edu LA - English DB - MTMT ER - TY - JOUR AU - Li, X AU - Lu, R AU - Liu, J AU - Wang, S TI - Comparison between Large-scale Circulation Anomalies Associated with Interannual Variability and Decadal Change of Summer Arctic Sea Ice JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 35 PY - 2022 IS - 14 SP - 4841 EP - 4858 PG - 40 SN - 0894-8755 DO - 10.1175/JCLI-D-21-0803.1 UR - https://m2.mtmt.hu/api/publication/32780620 ID - 32780620 N1 - Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing, China College of Oceanography, Hohai University, Nanjing, China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing, China Department of Atmospheric and Environmental Sciences, State University of New York, Albany, NY, United States School of Geospatial Engineering and Science, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China University Corporation for Polar Research, Zhuhai, China Cited By :2 Export Date: 27 February 2024 Correspondence Address: Li, X.; Key Laboratory of Marine Hazards Forecasting, China; email: lixinyu@hhu.edu.cn LA - English DB - MTMT ER - TY - JOUR AU - Roach, LA. AU - Blanchard‐Wrigglesworth, E. TI - Observed winds crucial for September Arctic sea ice loss JF - GEOPHYSICAL RESEARCH LETTERS J2 - GEOPHYS RES LETT VL - 49 PY - 2022 IS - 6 SN - 0094-8276 DO - 10.1029/2022GL097884 UR - https://m2.mtmt.hu/api/publication/32751578 ID - 32751578 N1 - Cited By :7 Export Date: 27 February 2024 CODEN: GPRLA Correspondence Address: Roach, L.A.; Department of Atmospheric Sciences, United States; email: l.roach@columbia.edu LA - English DB - MTMT ER - TY - JOUR AU - Shen, Z AU - Duan, A AU - Li, D AU - Li, J TI - Quantifying the Contribution of Internal Atmospheric Drivers to Near-term Projection Uncertainty in September Arctic Sea Ice JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 35 PY - 2022 SP - 3427 EP - 3443 PG - 38 SN - 0894-8755 DO - 10.1175/JCLI-D-21-0579.1 UR - https://m2.mtmt.hu/api/publication/32698800 ID - 32698800 N1 - Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environmental Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China LASG, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China Cited By :1 Export Date: 27 February 2024 Correspondence Address: Duan, A.; LASG, China; email: amduan@lasg.iap.ac.cn LA - English DB - MTMT ER - TY - JOUR AU - Sun, X AU - Ding, Q AU - Wang, SYS AU - Topál, Dániel AU - Li, Q AU - Castro, C AU - Teng, H AU - Luo, R AU - Ding, Y TI - Enhanced jet stream waviness induced by suppressed tropical Pacific convection during boreal summer JF - NATURE COMMUNICATIONS J2 - NAT COMMUN VL - 13 PY - 2022 IS - 1 SN - 2041-1723 DO - 10.1038/s41467-022-28911-7 UR - https://m2.mtmt.hu/api/publication/32737793 ID - 32737793 N1 - Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, 210044, China Chinese Academy of Meteorological Sciences, Beijing, 100081, China Department of Geography and Earth Research Institute, University of California, Santa Barbara, CA, United States Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China Department of Plants, Soils, and Climate, Utah State University, Logan, UT, United States Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Eötvös Loránd Research Network, Budapest, Hungary ELTE Eötvös Loránd University, Doctoral School of Environmental Sciences, Budapest, Hungary Department of Hydrology Atmospheric Sciences, The University of Arizona, Tucson, AZ, United States Pacific Northwest National Laboratory, Richland, WA, United States Deep-Sea Multidisciplinary Research Center, Pilot National Laboratory of Marine Science and Technology (Qingdao), Qingdao, 266237, China Frontiers Science Center for Deep Ocean Multi-spheres and Earth System, Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, 266100, China Cited By :20 Export Date: 27 February 2024 Correspondence Address: Ding, Q.; Department of Geography and Earth Research Institute, United States; email: Qinghua@ucsb.edu LA - English DB - MTMT ER - TY - JOUR AU - Taylor, PC. AU - Boeke, RC. AU - Boisvert, LN. AU - Feldl, N AU - Henry, M AU - Huang, Y AU - Langen, PL. AU - Liu, W AU - Pithan, F AU - Sejas, SA. AU - Tan, I TI - Process Drivers, Inter-Model Spread, and the Path Forward: A Review of Amplified Arctic Warming JF - FRONTIERS IN EARTH SCIENCE J2 - FRONT EARTH SC-SWITZ VL - 9 PY - 2022 SN - 2296-6463 DO - 10.3389/feart.2021.758361 UR - https://m2.mtmt.hu/api/publication/32662279 ID - 32662279 N1 - NASA Langley Research Center, Hampton, VA, United States Science Systems and Applications Inc, Hampton, VA, United States Cryospheric Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, MD, United States Department of Earth and Planetary Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom Department of Environmental Science, IClimate, Aarhus University, Roskilde, Denmark Department of Earth and Planetary Sciences, University of California Riverside, Riverside, CA, United States Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada Cited By :29 Export Date: 27 February 2024 Correspondence Address: Taylor, P.C.; NASA Langley Research CenterUnited States; email: patrick.c.taylor@nasa.gov LA - English DB - MTMT ER - TY - JOUR AU - Topál, Dániel AU - Ding, Q AU - Ballinger, TJ. AU - Hanna, E AU - Fettweis, X AU - Li, Z AU - Pieczka, Ildikó TI - Discrepancies between observations and climate models of large-scale wind-driven Greenland melt influence sea-level rise projections JF - NATURE COMMUNICATIONS J2 - NAT COMMUN VL - 13 PY - 2022 IS - 1 SN - 2041-1723 DO - 10.1038/s41467-022-34414-2 UR - https://m2.mtmt.hu/api/publication/33232028 ID - 33232028 N1 - Cited By :3 Export Date: 27 February 2024 Correspondence Address: Topál, D.; Institute for Geological and Geochemical Research, Hungary; email: topal.daniel@csfk.org Correspondence Address: Ding, Q.; Department of Geography and Earth Research Institute, United States; email: qinghua@ucsb.edu Correspondence Address: Ballinger, T.J.; International Arctic Research Center, United States; email: tjballinger@alaska.edu AB - While climate models project that Greenland ice sheet (GrIS) melt will continue to accelerate with climate change, models exhibit limitations in capturing observed connections between GrIS melt and changes in high-latitude atmospheric circulation. Here we impose observed Arctic winds in a fully-coupled climate model with fixed anthropogenic forcing to quantify the influence of the rotational component of large-scale atmospheric circulation variability over the Arctic on the temperature field and the surface mass/energy balances through adiabatic processes. We show that recent changes involving mid-to-upper-tropospheric anticyclonic wind anomalies – linked with tropical forcing – explain half of the observed Greenland surface warming and ice loss acceleration since 1990, suggesting a pathway for large-scale winds to potentially enhance sea-level rise by ~0.2 mm/year per decade. We further reveal fingerprints of this observed teleconnection in paleo-reanalyses spanning the past 400 years, which heightens concern about model limitations to capture wind-driven adiabatic processes associated with GrIS melt. LA - English DB - MTMT ER - TY - THES AU - Wachowicz, LJ TI - Tropical Sea Surface Temperature Variability and Its Role on Arctic Atmospheric Circulation and Sea Ice PB - University of Georgia PY - 2022 SN - 9798845429322 UR - https://m2.mtmt.hu/api/publication/34485260 ID - 34485260 LA - English DB - MTMT ER - TY - JOUR AU - Bi, H AU - Wang, Y AU - Liang, Y AU - Sun, W AU - Liang, X AU - Yu, Q AU - Zhang, Z AU - Xu, X TI - Influences of Summertime Arctic-Dipole Atmospheric Circulation on Sea Ice Concentration Variations in the Pacific Sector of the Arctic During Different Pacific Decadal Oscillation Phases JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 34 PY - 2021 IS - 8 SP - 3003 EP - 3019 PG - 17 SN - 0894-8755 DO - 10.1175/JCLI-D-19-0843.1 UR - https://m2.mtmt.hu/api/publication/31822935 ID - 31822935 N1 - Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China Key Laboratory of Research on Marine Hazard Forecasting Center, National Marine Environmental Forecasting Center, Beijing, China University of Chinese Academy of Sciences, Beijing, China Cited By :11 Export Date: 27 February 2024 Correspondence Address: Liang, Y.; Key Laboratory of Marine Geology and Environment, China; email: liangyu17@mails.ucas.ac.cn Correspondence Address: Sun, W.; First Institute of Oceanography, China; email: sunweifu@fio.org.cn LA - English DB - MTMT ER - TY - JOUR AU - Bódai, Tamás AU - Drótos, Gábor AU - Ha, KJ AU - Lee, JY AU - Chung, ES TI - Nonlinear Forced Change and Nonergodicity: The Case of ENSO-Indian Monsoon and Global Precipitation Teleconnections JF - FRONTIERS IN EARTH SCIENCE J2 - FRONT EARTH SC-SWITZ VL - 8 PY - 2021 SN - 2296-6463 DO - 10.3389/feart.2020.599785 UR - https://m2.mtmt.hu/api/publication/31963945 ID - 31963945 N1 - Funding Agency and Grant Number: Institute for Basic Science (IBS) [IBS-R028-D1]; Spanish State Research Agency through the Maria de Maeztu Program for Units of Excellence in RD [MDM-2017-0711]; National Research, Development and Innovation Office (NKFIH, Hungary) [K125171, FK-124256]; European Social Fund under the postdoctoral program of the Government of the Balearic Islands (CAIB, Spain) [PD/020/2018]; U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE) programUnited States Department of Energy (DOE); Office of Biological and Environmental Research (BER); National Oceanic and Atmospheric Administration Climate Program OfficeNational Oceanic Atmospheric Admin (NOAA) - USA; NOAA Physical Sciences Laboratory Funding text: TB was supported by the Institute for Basic Science (IBS), under IBS-R028-D1. G.D. acknowledges financial support from the Spanish State Research Agency through the Maria de Maeztu Program for Units of Excellence in R&D under grant no. MDM-2017-0711, from the National Research, Development and Innovation Office (NKFIH, Hungary) under grant nos. K125171 and FK-124256, and from the European Social Fund through the fellowship no. PD/020/2018 under the postdoctoral program of the Government of the Balearic Islands (CAIB, Spain). Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE) program, and Office of Biological and Environmental Research (BER), by the National Oceanic and Atmospheric Administration Climate Program Office, and by the National Oceanic and Atmospheric Administration Climate Program Office, and by the NOAA Physical Sciences Laboratory. LA - English DB - MTMT ER - TY - JOUR AU - Bonan, DB. AU - Schneider, T AU - Eisenman, I AU - Wills, RCJ. TI - Constraining the date of a seasonally ice‐free Arctic using a simple model JF - GEOPHYSICAL RESEARCH LETTERS J2 - GEOPHYS RES LETT VL - 48 PY - 2021 IS - 18 SN - 0094-8276 DO - 10.1029/2021GL094309 UR - https://m2.mtmt.hu/api/publication/32189023 ID - 32189023 N1 - Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States Cited By :18 Export Date: 27 February 2024 CODEN: GPRLA Correspondence Address: Bonan, D.B.; Environmental Science and Engineering, United States; email: dbonan@caltech.edu LA - English DB - MTMT ER - TY - JOUR AU - Bonan, DB. AU - Lehner, F AU - Holland, MM. TI - Partitioning uncertainty in projections of Arctic sea ice JF - ENVIRONMENTAL RESEARCH LETTERS J2 - ENVIRON RES LETT VL - 16 PY - 2021 IS - 4 PG - 19 SN - 1748-9326 DO - 10.1088/1748-9326/abe0ec UR - https://m2.mtmt.hu/api/publication/31846190 ID - 31846190 N1 - Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland Cited By :36 Export Date: 27 February 2024 Correspondence Address: Bonan, D.B.; Environmental Science and Engineering, United States; email: dbonan@caltech.edu LA - English DB - MTMT ER - TY - JOUR AU - Ding, Q TI - Internal atmospheric processes contributing to Arctic summer rapid warming and ice melting in recent 20 years JF - TRANSACTIONS OF ATMOSPHERIC SCIENCES J2 - TRANSACTI ATMOSPH SCI VL - 44 PY - 2021 IS - 1 SP - 39 EP - 49 PG - 11 SN - 1674-7097 DO - 10.13878/j.cnki.dqkxxb.20201113007 UR - https://m2.mtmt.hu/api/publication/34686587 ID - 34686587 N1 - Cited By :1 Export Date: 27 February 2024 LA - Chinese DB - MTMT ER - TY - JOUR AU - Feng, X AU - Ding, Q AU - Wu, L AU - Jones, C AU - Baxter, I AU - Tardif, R AU - Stevenson, S AU - Emile-Geay, J AU - Mitchell, J AU - Carvalho, LMV. AU - Wang, H AU - Steig, E TI - A multidecadal-scale tropically-driven global teleconnection over the past millennium and its recent strengthening JF - JOURNAL OF CLIMATE J2 - J CLIMATE VL - 34 PY - 2021 IS - 7 SP - 2549 EP - 2565 PG - 17 SN - 0894-8755 DO - 10.1175/JCLI-D-20-0216.1 UR - https://m2.mtmt.hu/api/publication/31794954 ID - 31794954 N1 - Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China Department of Geography, Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai, China Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States Bren School of Environmental Science and Management, University of California, Santa Barbara, Santa Barbara, CA, United States Department of Earth Sciences, University of Southern California, Los Angeles, CA, United States Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States Department of Earth, Planetary and Space Sciences, University of California, Los Angeles, Los Angeles, CA, United States Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China Department of Earth and Space Sciences, University of Washington, Seattle, WA, United States Cited By :9 Export Date: 27 February 2024 Correspondence Address: Ding, Q.; Department of Geography, United States; email: qinghua@ucsb.edu LA - English DB - MTMT ER - TY - JOUR AU - Huang, Y AU - Kleindessner, M AU - Munishkin, A AU - Varshney, D AU - Guo, P AU - Wang, J TI - Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere JF - FRONTIERS IN BIG DATA J2 - FRONT BIG DATA VL - 4 PY - 2021 PG - 19 SN - 2624-909X DO - 10.3389/fdata.2021.642182 UR - https://m2.mtmt.hu/api/publication/32300878 ID - 32300878 N1 - Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, United States Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States Department of Computer Science and Engineering, University of California Santa Cruz, Santa Cruz, CA, United States Department of Information Systems, University of Maryland, Baltimore, MD, United States Cited By :11 Export Date: 27 February 2024 Correspondence Address: Wang, J.; Department of Information Systems, United States; email: jianwu@umbc.edu AB - The Arctic sea ice has retreated rapidly in the past few decades, which is believed to be driven by various dynamic and thermodynamic processes in the atmosphere. The newly open water resulted from sea ice decline in turn exerts large influence on the atmosphere. Therefore, this study aims to investigate the causality between multiple atmospheric processes and sea ice variations using three distinct data-driven causality approaches that have been proposed recently: Temporal Causality Discovery Framework Non-combinatorial Optimization via Trace Exponential and Augmented lagrangian for Structure learning (NOTEARS) and Directed Acyclic Graph-Graph Neural Networks (DAG-GNN). We apply these three algorithms to 39 years of historical time-series data sets, which include 11 atmospheric variables from ERA-5 reanalysis product and passive microwave satellite retrieved sea ice extent. By comparing the causality graph results of these approaches with what we summarized from the literature, it shows that the static graphs produced by NOTEARS and DAG-GNN are relatively reasonable. The results from NOTEARS indicate that relative humidity and precipitation dominate sea ice changes among all variables, while the results from DAG-GNN suggest that the horizontal and meridional wind are more important for driving sea ice variations. However, both approaches produce some unrealistic cause-effect relationships. Additionally, these three methods cannot well detect the delayed impact of one variable on another in the Arctic. It also turns out that the results are rather sensitive to the choice of hyperparameters of the three methods. As a pioneer study, this work paves the way to disentangle the complex causal relationships in the Earth system, by taking the advantage of cutting-edge Artificial Intelligence technologies. LA - English DB - MTMT ER - TY - JOUR AU - Keen, A AU - Blockley, E AU - Bailey, DA. AU - Boldingh Debernard, J AU - Bushuk, M AU - Delhaye, S AU - Docquier, D AU - Feltham, D AU - Massonnet, F AU - O'Farrell, S AU - Ponsoni, L AU - Rodriguez, José M. AU - Schroeder, D AU - Swart, N AU - Toyoda, T AU - Tsujino, H AU - Vancoppenolle, M AU - Wyser, K TI - An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models JF - CRYOSPHERE J2 - CRYOSPHERE VL - 15 PY - 2021 IS - 2 SP - 951 EP - 982 PG - 32 SN - 1994-0416 DO - 10.5194/tc-15-951-2021 UR - https://m2.mtmt.hu/api/publication/31908742 ID - 31908742 N1 - Met Office Hadley Centre, Exeter, United Kingdom National Center for Atmospheric Research (NCAR), Boulder, CO, United States Norwegian Meteorological Institute, Oslo, Norway Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, United States Georges Lemaître Centre for Earth and Climate Research (TECLIM), Earth and Life Institute, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium Rossby Centre, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden Centre for Polar Observations and Modelling (CPOM), University of Reading, Reading, United Kingdom Csiro Oceans and Atmosphere, Aspendale, VIC, Australia Agencia Estatal de Meteorologia (AEMET), Madrid, Spain Environment and Climate Change Canada (ECCC), Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan Laboratoire d'Oceanographie et du Climat and Institut Pierre-Simon Laplace (LOCEAN-IPSL), Paris, France Cited By :39 Export Date: 27 February 2024 Correspondence Address: Keen, A.; Met Office Hadley CentreUnited Kingdom; email: ann.keen@metoffice.gov.uk LA - English DB - MTMT ER - TY - JOUR AU - Liu, Z AU - Risi, C AU - Codron, F AU - He, X AU - Poulsen, CJ. AU - Wei, Z AU - Chen, D AU - Li, S AU - Bowen, GJ. TI - Acceleration of western Arctic sea ice loss linked to the Pacific North American pattern JF - NATURE COMMUNICATIONS J2 - NAT COMMUN VL - 12 PY - 2021 IS - 1 SN - 2041-1723 DO - 10.1038/s41467-021-21830-z UR - https://m2.mtmt.hu/api/publication/31911824 ID - 31911824 N1 - State Key Laboratory of Marine Geology, Tongji University, Shanghai, China Laboratoire de Météorologie Dynamique, IPSL, CNRS, Sorbonne Université, Paris, France Laboratoire d’Océanographie et du Climat (LOCEAN), IPSL, CNRS, IRD, Sorbonne Université, Paris, France Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, United States Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China Department of Earth System Science, Tsinghua University, Beijing, China Department of Geology and Geophysics, University of Utah, Salt Lake City, United States Cited By :31 Export Date: 27 February 2024 Correspondence Address: Liu, Z.; State Key Laboratory of Marine Geology, China; email: liuzf406@gmail.com LA - English DB - MTMT ER - TY - JOUR AU - Luo, R AU - Ding, Q AU - Wu, Z AU - Baxter, I AU - Bushuk, M AU - Huang, Y AU - Dong, X TI - Summertime atmosphere–sea ice coupling in the Arctic simulated by CMIP5/6 models: Importance of large-scale circulation JF - CLIMATE DYNAMICS J2 - CLIM DYNAM VL - 56 PY - 2021 IS - 5-6 SP - 1467 EP - 1485 PG - 19 SN - 0930-7575 DO - 10.1007/s00382-020-05543-5 UR - https://m2.mtmt.hu/api/publication/31794480 ID - 31794480 N1 - Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China Department of Geography, and Earth Research Institute, University of California, Santa Barbara, CA 93106, United States Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, United States Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, United States Cited By :20 Export Date: 27 February 2024 Correspondence Address: Wu, Z.; Department of Atmospheric and Oceanic Sciences, China; email: zhiweiwu@fudan.edu.cn Correspondence Address: Ding, Q.; Department of Geography, United States; email: qinghua@uscb.edu LA - English DB - MTMT ER - TY - JOUR AU - Matsumura, S AU - Yamazaki, K AU - Suzuki, K TI - Slow-down in summer warming over Greenland in the past decade linked to central Pacific El Niño JF - COMMUNICATIONS EARTH & ENVIRONMENT J2 - COMMUN EARTH ENVIRON VL - 2 PY - 2021 IS - 1 SN - 2662-4435 DO - 10.1038/s43247-021-00329-x UR - https://m2.mtmt.hu/api/publication/32544720 ID - 32544720 N1 - Cited By :4 Export Date: 27 February 2024 Correspondence Address: Matsumura, S.; Faculty of Environmental Earth Science, Japan; email: matsusnj@ees.hokudai.ac.jp LA - English DB - MTMT ER - TY - JOUR AU - England, MR. AU - Polvani, LM. AU - Sun, L TI - Robust Arctic warming caused by projected Antarctic sea ice loss JF - ENVIRONMENTAL RESEARCH LETTERS J2 - ENVIRON RES LETT VL - 15 PY - 2020 IS - 10 SN - 1748-9326 DO - 10.1088/1748-9326/abaada UR - https://m2.mtmt.hu/api/publication/31392871 ID - 31392871 N1 - Department of Climate, Atmospheric Science and Physical Oceanography, Scripps Institution of Oceanography, San diego, CA, United States Department of Physics and Physical Oceanography, University of North Carolina WilmingtonNC, United States Department of Applied Mathematics and Applied Physics, Columbia University, New York, NY, United States Department of Earth and Environmental Science, Lamont Doherty Earth Observatory, Columbia University, Palisades, NY, United States Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States Cited By :22 Export Date: 27 February 2024 LA - English DB - MTMT ER - TY - JOUR AU - Haszpra, Tímea AU - Topál, Dániel AU - Herein, Mátyás TI - Detecting forced changes in internal variability using Large Ensembles: On the use of methods based on the "snapshot view" JF - US CLIVAR VARIATIONS J2 - US CLIVAR VARIATIONS VL - 18 PY - 2020 IS - 2 SP - 36 EP - 43 PG - 8 UR - https://m2.mtmt.hu/api/publication/31652995 ID - 31652995 LA - English DB - MTMT ER - TY - JOUR AU - Topál, Dániel AU - Hatvani, István Gábor AU - Kern, Zoltán TI - Refining projected multidecadal hydroclimate uncertainty in East-Central Europe using CMIP5 and single-model large ensemble simulations JF - THEORETICAL AND APPLIED CLIMATOLOGY J2 - THEORET APPL CLIMAT VL - 142 PY - 2020 IS - 3-4 SP - 1147 EP - 1167 PG - 21 SN - 0177-798X DO - 10.1007/s00704-020-03361-7 UR - https://m2.mtmt.hu/api/publication/31591653 ID - 31591653 N1 - Funding Agency and Grant Number: ELKH Research Centre for Astronomy and Earth Sciences; New National Excellence Program of the Ministry for Innovation and Technology [UNKP-19-3]; Ministry of Human Capacities [NTP-NFTO-18]; Janos Bolyai Research Scholarship of the Hungarian Academy of SciencesHungarian Academy of Sciences Funding text: Open access funding provided by ELKH Research Centre for Astronomy and Earth Sciences. D.T. was supported by the UNKP-19-3 New National Excellence Program of the Ministry for Innovation and Technology and grant NTP-NFTO-18 of the Ministry of Human Capacities. The work of I.G.H was supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. LA - English DB - MTMT ER -