Article
Meteorology & Atmospheric Sciences
Erwan Brisson, Ulrich Blahak, Philippe Lucas-Picher, Christopher Purr, Bodo Ahrens
Summary: Lightning climate change projections are highly uncertain due to limitations in empirical knowledge and strong assumptions in coarse-grid climate modeling. This study successfully implemented the lightning potential index parameterization (LPI) into a fine-grid convection-permitting regional climate model (CPM), outperforming the simpler CAPE x PREC parameterization in all applied diagnostics. The LPI projected a decrease of 4.8% in flash rate by the end of the century in a domain centered over Germany, in contrast to a projected increase of 17.4% using the CAPE x PREC parameterization, mainly attributed to changes in convection occurrence and microphysical mixing.
Article
Multidisciplinary Sciences
Mario Raffa, Marianna Adinolfi, Alfredo Reder, Gian Franco Marras, Marco Mancini, Gabriella Scipione, Monia Santini, Paola Mercogliano
Summary: This paper introduces VHR-PRO_IT, an open access hourly climate projection with a resolution of ?2.2 km, covering the Italian peninsula and some neighbouring areas up to 2050. It is produced by downscaling the Italy8km-CM climate projection with the Regional Climate Model COSMO-CLM under the IPCC RCP4.5 and RCP8.5 scenarios. The VHR-PRO_IT data is intended for research purposes in the field of climate studies, such as investigating the added value of running climate simulation at the convection-permitting scale.
Article
Environmental Sciences
Vladimir Platonov, Mikhail Varentsov
Summary: The study introduces a new detailed hydrometeorological dataset for the Russian Arctic region, obtained through long-term hindcast with the COSMO-CLM atmospheric model. The data closely aligns with ERA-Interim reanalysis data but with more detailed spatial patterns, especially in wind speed and temperature climatology. The added value of the higher-resolution COSMO-CLM data is most pronounced during downslope windstorms.
Article
Environmental Sciences
Marianna Adinolfi, Mario Raffa, Alfredo Reder, Paola Mercogliano
Summary: There is an ongoing debate in the climate community about the benefits of convection-permitting models. Studies have shown improvements in Regional Climate Model (RCM) performance with increased grid spacing to 1 km scale. The focus of this work is the analysis of summer precipitation over the Alpine space, where downscaled driving data using RCM COSMO-CLM show significant differences at an hourly time scale between convection-permitting and non-convection-permitting simulations. Future projections suggest that the convection-permitting simulation refines and enhances the projected patterns compared to coarser resolutions.
Article
Meteorology & Atmospheric Sciences
Cemre Yuruk Sonuc, Yurdanur Unal, Selahattin Incecik
Summary: This study presents the performance of the regional climate model COSMO-CLM forced by MPI-ESM-LR in simulating climate conditions in northwestern Turkiye, as well as projections for future temperature and precipitation. The model response was examined for mean, maximum, and minimum temperatures, as well as daily total precipitation, and compared with observations on an annual and seasonal basis. The results show that the model provides a satisfactory representation of temperature and precipitation variables in the study area. Furthermore, future climate changes predicted by the model suggest significant warming and a decrease in precipitation, especially in spring and summer, by the end of the century.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Merja H. Toelle, Evgenii Churiulin
Summary: Characterization of climate uncertainties due to different land cover maps in regional climate models is essential for adaptation strategies, with vegetation factors being a key parameter affecting climate simulation results. Future research should focus on improving land cover classification in complex areas to enhance the accuracy of climate models.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Meteorology & Atmospheric Sciences
George Zittis, Panos Hadjinicolaou, Mansour Almazroui, Edoardo Bucchignani, Fatima Driouech, Khalid El Rhaz, Levent Kurnaz, Grigory Nikulin, Athanasios Ntoumos, Tugba Ozturk, Yiannis Proestos, Georgiy Stenchikov, Rashyd Zaaboul, Jos Lelieveld
Summary: Global climate projections indicate that in the second half of this century, the Middle East and North Africa will experience unprecedented super- and ultra-extreme heatwaves, with temperatures reaching up to 56 degrees Celsius and lasting several weeks. By the end of the century, it is estimated that approximately 600 million people in the region will be exposed to these extreme heatwaves annually, with over 90% of the affected population living in urban centers and needing to cope with the disruptive weather conditions.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2021)
Article
Geosciences, Multidisciplinary
Sara Top, Lola Kotova, Lesley De Cruz, Svetlana Aniskevich, Leonid Bobylev, Rozemien De Troch, Natalia Gnatiuk, Anne Gobin, Rafiq Hamdi, Arne Kriegsmann, Armelle Reca Remedio, Abdulla Sakalli, Hans Van de Vyver, Bert Van Schaeybroeck, Viesturs Zandersons, Philippe De Maeyer, Piet Termonia, Steven Caluwaerts
Summary: This study evaluates the performance of REMO and ALARO-0 in the Central Asia region, finding that REMO performs better in temperature while ALARO-0 excels in precipitation. Studying specific subregions provides deeper insight into the strengths and weaknesses of both models in the CAS-CORDEX domain.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Environmental Sciences
Alessandro Ugolotti, Tim Anders, Benjamin Lanssens, Thomas Hickler, Louis Francois, Merja H. Toelle
Summary: Vegetation models for climate adaptation and mitigation strategies require high-resolution climate input data with corrected errors. This study quantifies the impact of bias correction on climate and extreme variables, and finds that it mainly affects precipitation and drought, while having minimal impact on temperature and extreme climate indices.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
M. Thuerkow, I Kirchner, R. Kranenburg, R. M. A. Timmermans, M. Schaap
Summary: This study focuses on improving the representation of PM episodes in the Berlin agglomeration area using test-case studies with the LOTOS-EUROS CTM. The mixing layer height (MLH) is identified as a major impact factor, and applying the COSMO-CLM model significantly improves the meteorological representation of the PBL and MLH. A multi-level approach excluding the MLH leads to a considerable increase in the total PM mass concentration amount.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Mario Raffa, Alfredo Reder, Marianna Adinolfi, Paola Mercogliano
Summary: The new generation reanalysis data ERA5 provides a more accurate picture of the current climate, but its coarse spatial resolution may limit direct use of precipitation fields. Dynamic downscaling and selecting appropriate nesting strategies are crucial for this purpose, as they can save time and computational resources. Further research is needed to assess the effectiveness of different nesting strategies in improving the accuracy of precipitation patterns.
Article
Meteorology & Atmospheric Sciences
Melissa R. Latt, Assaf Hochman, Alberto Caldas-Alvarez, Sebastian Helgert, Joaquim G. Pinto, Ulrich Corsmeier
Summary: This study evaluates the ability of a 13-year climate simulation to reproduce the interaction of regional summer wind systems in the complex orography of the eastern Mediterranean region. The high-resolution simulation substantially improves the representation of regional winds, particularly over complex orography. The results have important implications for regional weather and climate prediction.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Lukas Strebel, Heye R. Bogena, Harry Vereecken, Harrie-Jan Hendricks Franssen
Summary: Land surface models are crucial for understanding the Earth system, and data assimilation techniques can optimize the combination of models and observational data. This study presents the development of a new interface between PDAF and CLM5, and demonstrates the application of the coupled CLM5-PDAF system using soil water content observations.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Gabriel Fotso-Kamga, Thierry C. Fotso-Nguemo, Ismaila Diallo, Godwill T. Nyanchi, Zephirin D. Yepdo, Steven Chouto, Samuel Kaissassou, Sinclaire Zebaze, Romeo S. Tanessong, Lucie A. Djiotang A. Tchotchou, Derbetini A. Vondou, Arona Diedhiou, Andre Lenouo
Summary: This study explores the impact of increased global warming levels on extreme precipitation and temperature events in Central Africa. The results show that the CCLM regional climate model satisfactorily represents these extreme events, with some improvements compared to the driving models. The study suggests that the region will be prone to droughts, floods, and heatwaves in a warmer world, calling for climate action and adaptation strategies.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Peng Yang, Wenyu Wang, Jun Xia, Yaning Chen, Chesheng Zhan, Shengqing Zhang, Cai Wei, Xiangang Luo, Jiang Li
Summary: This study investigated the impact of climate change on water resources systems in arid regions using hydrometeorological data and a hydrological model. The findings indicate that climate change significantly affects runoff, evapotranspiration, and terrestrial water storage, highlighting the importance of further research for guiding sustainable development.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Gerhard Smiatek, Harald Kunstmann
JOURNAL OF HYDROMETEOROLOGY
(2016)
Article
Meteorology & Atmospheric Sciences
Gerhard Smiatek, Juergen Helmert, Eva-Maria Gerstner
METEOROLOGISCHE ZEITSCHRIFT
(2016)
Article
Meteorology & Atmospheric Sciences
Gerhard Smiatek, Harald Kunstmann, Alfonso Senatore
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2016)
Article
Environmental Sciences
Gerhard Smiatek, Felix Keis, Christian Chwala, Benjamin Fersch, Harald Kunstmann
ENVIRONMENTAL RESEARCH LETTERS
(2017)
Article
Meteorology & Atmospheric Sciences
Diarra Dieng, Gerhard Smiatek, Jan Bliefernicht, Dominikus Heinzeller, A. Sarr, A. T. Gaye, Harald Kunstmann
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2017)
Article
Meteorology & Atmospheric Sciences
Diarra Dieng, Patrick Laux, Gerhard Smiatek, Dominikus Heinzeller, Jan Bliefernicht, Abdoulaye Sarr, Amadou Thierno Gaye, Harald Kunstmann
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2018)
Article
Meteorology & Atmospheric Sciences
Gerhard Smiatek, Harald Kunstmann, Andreas Heckl
JOURNAL OF HYDROMETEOROLOGY
(2014)
Article
Meteorology & Atmospheric Sciences
G. Smiatek
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2014)
Article
Meteorology & Atmospheric Sciences
Gerhard Smiatek, Harald Kunstmann
JOURNAL OF HYDROMETEOROLOGY
(2019)
Article
Environmental Sciences
Michael Warscher, Sven Wagner, Thomas Marke, Patrick Laux, Gerhard Smiatek, Ulrich Strasser, Harald Kunstmann
Article
Biodiversity Conservation
Dominik Thom, Werner Rammer, Patrick Laux, Gerhard Smiatek, Harald Kunstmann, Sebastian Seibold, Rupert Seidl
Summary: Observational evidence suggests that forests in the Northern Alps are changing at an increasing rate due to climate change. This study used a process-based forest landscape model to simulate future forest dynamics and found that the acceleration of forest dynamics will continue in the coming decades. However, forest structure changes are expected to level off in the second half of the 21st century, while tree species changes diverge under different climate scenarios.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Water Resources
Alfonso Senatore, Domenico Fuoco, Mario Maiolo, Giuseppe Mendicino, Gerhard Smiatek, Harald Kunstmann
Summary: By evaluating the combined effect of multiple climate models and bias correction methods, the study found that the water resources in the Crati River Basin in Southern Italy will decrease significantly in the future decades, mainly due to the increase in temperature and the decrease in precipitation. The driving climate model was identified as the primary source of uncertainty, and the bias correction methods contributed to reducing the uncertainty.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Geosciences, Multidisciplinary
Gerhard Smiatek, Harald Kunstmann
Summary: The pan-African Great Green Wall for the Sahara and the Sahel initiative aims to reverse land degradation through reforestation. However, our investigation found no significant evidence that the GGW-induced changes in precipitation characteristics or positive impacts on forestation activities in the Sahel. Our simulations showed regional-scale changes in precipitation, but they were not statistically significant at the 5% level.
EARTH INTERACTIONS
(2023)
Article
Environmental Sciences
R. Kiese, B. Fersch, C. Baessler, C. Brosy, K. Butterbach-Bahl, C. Chwala, M. Dannenmann, J. Fu, R. Gasche, R. Grote, C. Jahn, J. Klatt, H. Kunstmann, M. Mauder, T. Roediger, G. Smiatek, M. Soltani, R. Steinbrecher, I Voelksch, J. Werhahn, B. Wolf, M. Zeeman, H. P. Schmid
VADOSE ZONE JOURNAL
(2018)
Article
Geosciences, Multidisciplinary
Dominikus Heinzeller, Diarra Dieng, Gerhard Smiatek, Christiana Olusegun, Cornelia Klein, Ilse Hamann, Seyni Salack, Jan Bliefernicht, Harald Kunstmann
EARTH SYSTEM SCIENCE DATA
(2018)
