Article
Meteorology & Atmospheric Sciences
A. M. Jenney, S. L. Ferretti, M. S. Pritchard
Summary: This article investigates the impact of vertical resolution on simulations of deep convection and convective aggregation. The study finds that increasing vertical resolution reduces relative humidity and cloud fraction and influences the occurrence, onset time, and equilibrium intensity of aggregated convection, as well as the sensitivity of convective aggregation to domain size. Understanding the simulated convection aggregation and its sensitivity to model formulation is critical for predicting global climate change.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Geosciences, Multidisciplinary
H. Segura, C. Hohenegger, C. Wengel, B. Stevens
Summary: Using the ICON-S model, we are able to effectively describe the seasonal and diurnal features of the tropical rainbelt. The model performs well over land and shows high agreement with observations. However, it struggles to capture the seasonal features of the rainbelt over the oceans in the Eastern Hemisphere, which is associated with a cold sea surface temperature bias.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Heng Liu, Xiaodong Liu, Changhai Liu, Yuxing Yun
Summary: This study found that global climate models and traditional regional models tend to produce inaccurate results when simulating precipitation over the Tibetan Plateau due to low spatial resolution, deficient convective parameterization, and uncertainties in physical assumptions. In contrast, the 4-km model performs better in simulating precipitation and shows good agreement with observations, while the 10-km model exhibits significant biases.
ATMOSPHERIC RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Eshkol Eytan, Alexander Khain, Mark Pinsky, Orit Altaratz, Jacob Shpund, Ilan Koren
Summary: Shallow convective clouds play an important role in Earth's energy budget and hydrological cycle, and contribute greatly to the uncertainty in climate predictions. By studying cloud structure and processes, using the adiabatic fraction as a metric can effectively analyze cloud properties and the formation of droplet-size distribution.
JOURNAL OF THE ATMOSPHERIC SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Mark Pinsky, Eshkol Eytan, Ilan Koren, Orit Altaratz, Alexander Khain
Summary: The study demonstrates how to separate the velocity field in clouds into convective and turbulent components, including constructing an idealized flow, developing a wavelet method, and verifying the effectiveness through simulation results.
JOURNAL OF THE ATMOSPHERIC SCIENCES
(2021)
Article
Remote Sensing
Xinyao Xie, Ainong Li, Xiaobin Guan, Jianbo Tan, Huaan Jin, Jinhu Bian
Summary: MODIS GPP model has been utilized to estimate GPP in mountainous regions, and a topographic correction method based on three indexes has been developed to reduce errors in GPP estimates. The combination of topographic corrections has shown the largest improvement in GPP estimates, emphasizing the importance of considering spatial heterogeneity in improving GPP estimation accuracy.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Geosciences, Multidisciplinary
Abhishekh Kumar Srivastava, Paul Aaron Ullrich, Deeksha Rastogi, Pouya Vahmani, Andrew Jones, Richard Grotjahn
Summary: This study evaluates the quality of historical precipitation simulated by the WRF v 4.2.1 model compared to ERA5 in the contiguous United States. The results show that the WRF model accurately captures the timing and magnitude of the summer diurnal precipitation peak, but exhibits a delayed diurnal peak over the Great Plains. The WRF model improves upon ERA5 in simulating the month and magnitude of the precipitation peak annual cycle. Additionally, the WRF model better represents the probability density distribution of annual and seasonal maximum precipitation compared to ERA5.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Han-Gyul Jin, Hyunho Lee, Jong-Jin Baik
Summary: This study investigates the effects of Turbulence-induced Collision Enhancement (TICE) on shallow cumulus clouds, showing significant increases in autoconversion rate, rainwater path, and surface rain rate. Sensitivities of the simulations to cloud droplet number concentration and horizontal grid resolution are reduced by TICE, with substantial differences in TICE effects observed for different parametrizations.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Geosciences, Multidisciplinary
Entao Yu, Rui Bai, Xia Chen, Lifang Shao
Summary: This study investigates the impact of different physical parameterizations on the simulation of wind fields under stable weather conditions. The results show that the planetary boundary layer (PBL) schemes have the greatest influence on wind speed simulation, followed by shortwave-longwave radiation (SW-LW) schemes and microphysics (MP) schemes. The MYJ scheme exhibits the best temporal correlation with observed wind speed among all PBL schemes. The performance of the WRF model is found to be better for coastal stations compared to inland stations.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Oceanography
T. Petit, J. Robson, D. Ferreira, L. C. Jackson
Summary: The Atlantic Meridional Overturning Circulation (AMOC) is an essential component of the global climate, but it is not consistently simulated across models or model resolutions. Using the global coupled model HadGEM3-GC3.1, we evaluated the subpolar AMOC and its sensitivity to horizontal resolution. We found that the magnitude of the overturning at medium and high resolutions is larger than in the observations, mainly due to anomalously large surface forced water mass transformation (SFWMT). The relatively strong SFWMT in the Labrador Sea is explained by anomalously warm and salty water over the boundary of the basin.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Mathematics, Applied
Sungju Moon, Jong-Jin Baik, Hyo-Jong Song, Ji-Young Han
Summary: The existence of atmospheric predictability limit is widely accepted and attributed to weather's sensitivity to initial conditions. Recent study shows that the predictability of chaotic solutions exhibits non-monotonic dimensional dependence. It is questioned whether this non-monotonicity is also found in numerical weather prediction models. Through experiments and simulations, this study demonstrates that model's vertical resolution can affect predictability in a non-monotonic manner.
Article
Computer Science, Interdisciplinary Applications
Vincent Delmas, Azzedine Soulaimani
Summary: This study presents the development of a multi-GPU version of a time-explicit finite volume solver for the Shallow-Water Equations on a multi-GPU architecture, utilizing MPI, CUDA-Fortran, and the METIS library. By using multiple GPUs to accelerate message passing and conducting efficiency studies, it was found that efficiencies of over 80% can be achieved.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Dragan Petrovic, Benjamin Fersch, Harald Kunstmann
Summary: This study evaluated the ability of different regional climate models to reproduce observed drought indices in Germany and its surroundings, finding that the high-resolution Weather Research and Forecasting (WRF) model performed the best in reproducing observed drought trends. These findings are crucial for climate change studies.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Benjamin Poschlod
Summary: The study uses high-resolution regional climate models to generate 10- and 100-year daily rainfall return levels, showing their suitability for producing spatially homogeneous rainfall return level products. By comparing with observational data, the higher-resolution climate models demonstrate better performance.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Multidisciplinary Sciences
Antonio Ricchi, Davide Bonaldo, Guido Cioni, Sandro Carniel, Mario Marcello Miglietta
Summary: On the morning of September 26, 2007, a heavy precipitation event affected the Venice lagoon and neighbouring coastal zone of the Adriatic Sea, with traditional hindcast modelling experiments failing to accurately predict the event. An atmosphere-wave-ocean coupled numerical approach proved crucial for providing a more realistic simulation of such events, highlighting the importance of accurately representing sea surface temperature fields and marine boundary layer fluxes in numerical models.
SCIENTIFIC REPORTS
(2021)
Article
Meteorology & Atmospheric Sciences
Ifeanyi Chukwudi Achugbu, Patrick Laux, Ayo Akinlabi Olufayo, Ifeoluwa Adebowale Balogun, Jimy Dudhia, Joel Arnault, Imoleayo E. Gbode, Edward Naabil, Harald Kunstmann
Summary: This study assessed the potential impacts of land use change on regional climate in West Africa and found significant changes in precipitation, temperature, and dew point temperature due to land use land cover change (LULCC). Deforestation and conversion of forest to barren land led to a decrease in precipitation, while reforestation increased precipitation. LULCC also affected atmospheric conditions, including wind speed, wind direction, and humidity.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Engineering, Civil
David Feldmann, Patrick Laux, Andreas Heckl, Manfred Schindler, Harald Kunstmann
Summary: The study aims to determine robust Manning resistance coefficients (n) based on consecutive artificial rainfall experiments on natural hillslopes available in literature. Manning resistance coefficient is particularly important in 2D hydraulic heavy rainfall simulations, as there is a wide range of possible resistance values available leading to significantly different results regarding the accumulation of surface runoff.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Information Systems
Moumouni Djibo, Wend Yam Serge Boris Ouedraogo, Ali Doumounia, Serge Roland Sanou, Moumouni Sawadogo, Idrissa Guira, Nicolas Kone, Christian Chwala, Harald Kunstmann, Francois Zougmore
Summary: Since the 1990s, mobile telecommunication networks have become denser worldwide, with a significant portion relying on commercial microwave links (CMLs) for backhaul. By exploiting the attenuation of CML signals caused by rainfall, records of this attenuation can be used for inexpensive precipitation monitoring. To implement this technology, a real-time system has been developed to collect and store CML power levels from Telecel Faso, a mobile operator in Burkina Faso. This system, based on the Simple Network Management Protocol (SNMP), has grown from eight to over 1000 radio links, covering major cities and connecting routes in Burkina Faso.
APPLIED SYSTEM INNOVATION
(2023)
Article
Agronomy
Xuejin Wang, Baoqing Zhang, Zhenyu Zhang, Lei Tian, Harald Kunstmann, Chansheng He
Summary: Understanding the spatiotemporal evolution of droughts is crucial for food security and water allocation. This study proposes an approach to explore the simultaneous spatiotemporal evolution of droughts by constructing the linkage of propagation from meteorological drought to agricultural drought. The results show that 53.75% of meteorological drought events progress further to agricultural droughts, and agricultural droughts have a longer duration than meteorological droughts.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Xin Li, Guohua Fang, Jianhui Wei, Joeel Arnault, Patrick Laux, Xin Wen, Harald Kunstmann
Summary: Changing climate has increased the risk of natural and social disasters, particularly in coastal areas like the Huaihe river basin (HRB), by altering precipitation and temperature trends. This study evaluates the performance of 30 Global climate models (GCMs) in simulating HRB's precipitation and temperature from 1979 to 2014, using the Empirical Quantile Mapping (EQM) method for bias correction. The results project an increase in precipitation and temperature for the period 2015-2100, with varying rates depending on the scenarios. In the long-term, annual precipitation is projected to increase by 32-35%, while temperature is expected to either remain stable or slightly decrease under certain scenarios and increase by 4-6 degrees C under others.
Article
Meteorology & Atmospheric Sciences
Brian Boeker, Patrick Laux, Patrick Olschewski, Harald Kunstmann
Summary: Reliable prediction of heavy precipitation events causing floods is crucial for adaptation strategies in a changing climate. This study proposes a circulation pattern conditional downscaling approach that considers frequency changes of circulation patterns. Precipitation observations are used to derive conditional cumulative distribution functions and raw precipitation time series are sampled from these functions. Bias correction is applied using quantile mapping and parametric transfer functions. The evaluation shows that the proposed approach yields more reliable and accurate downscaled precipitation time series, particularly for extreme events.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Windmanagda Sawadogo, Jan Bliefernicht, Benjamin Fersch, Seyni Salack, Samuel Guug, Kehinde O. Ogunjobi, Stefanie Meilinger, Harald Kunstmann
Summary: The study evaluates different shortwave radiation schemes from the Weather Research and Forecasting (WRF) Model option Solar (WRF-Solar) for solar irradiance forecasting in Ghana and the southern part of Burkina Faso. The results show that the RRTMG_AERO_D01 scheme generally outperforms other schemes in simulating global horizontal irradiance under different weather conditions. It is recommended to use the RRTMG_AERO scheme for solar irradiance forecasts in the study area.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2023)
Article
Environmental Sciences
Ningpeng Dong, Mingxiang Yang, Jianhui Wei, Joel Arnault, Patrick Laux, Shiqin Xu, Hao Wang, Zhongbo Yu, Harald Kunstmann
Summary: This study proposes a synergistic framework to predict the release, storage, and hydropower production of ungauged reservoirs by combining remotely sensed reservoir operating patterns and model-simulated reservoir inflow within a land surface-hydrologic model. The study shows that remote sensing can improve the parameter estimation and simulations of ungauged reservoirs, but most operation schemes show degraded accuracies under changing inflow regimes. In comparison, the newly extended reservoir operation scheme in this study proves to be more adaptable to flow regime variations.
WATER RESOURCES RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Xuejin Wang, Zhenyu Zhang, Baoqing Zhang, Lei Tian, Jie Tian, Joel Arnault, Harald Kunstmann, Chansheng He
Summary: This study investigates the impact of land use and land cover change on regional atmospheric moisture cycling in the agro-pastoral ecotone of northern China. Results show that evapotranspiration contributes to local and regional precipitation, and surface vegetation change affects the thermodynamic processes and atmospheric responses.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Green & Sustainable Science & Technology
Windmanagda Sawadogo, Jan Bliefernicht, Benjamin Fersch, Seyni Salavk, Samuel Guug, Belko Diallo, Kehinde O. Ogunjobi, Guillaume Nakoulma, Michael Tanu, Stefanie Meilinger, Harald Kunstamann
Summary: This study evaluates the performance of hourly global horizontal irradiance (GHI) from state-of-the-art reanalysis and satellite-based products in Burkina Faso and Ghana. The results show that satellite data performs better than reanalysis data under different atmospheric conditions. The new measure of overall performance indicates that the GHI derived from CAMS and SARAH-2 can serve as viable alternative data for assessing solar energy in West Africa's different climatic zones.
Review
Environmental Sciences
Patrick Laux, Elena Weber, David Feldmann, Harald Kunstmann
Summary: This study uses both stationary and non-stationary extreme value analysis (EVA) models to derive design life levels (DLLs) of daily precipitation in the Oberland region of Southern Germany. Different parameter estimation techniques and theoretical distributions are evaluated and compared. The study reveals large methodological uncertainties and no robust tendency towards increased extremes for the end of this century in the study area.
Article
Astronomy & Astrophysics
Nico Blettner, Martin Fencl, Vojtech Bares, Harald Kunstmann, Christian Chwala
Summary: Unlike actual rainfall, the spatial extent of rainfall maps is often constrained by administrative and political boundaries, limiting transboundary exchange of data. However, this study presents the first transboundary rainfall maps generated using commercial microwave link (CML) data sets from Germany and the Czech Republic. By applying quality control algorithms, anomalies in the results are significantly reduced, enabling seamless visualization of rainfall events across the German-Czech border. This highlights the importance of quality control for large-scale CML-based rainfall estimation.
EARTH AND SPACE SCIENCE
(2023)
Proceedings Paper
Acoustics
Julius Polz, Luca Glawion, Maximilian Graf, Nico Blettner, Zbieta Lasota, Lennart Schmidt, Harald Kunstmann, Christian Chwala
Summary: Accurate detection of signal anomalies in commercial microwave links (CMLs) attenuation time-series is crucial for high quality rainfall estimates. Examples of anomalies include dew/ice on the antenna and multipath propagation. A study analyzing 20 CMLs in Germany found that removing flagged anomalies improved the correlation between CML and radar rainfall estimates, emphasizing the importance of considering expert uncertainty in quality control of environmental sensor data.
2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW
(2023)
Article
Geosciences, Multidisciplinary
Efi Rousi, Andreas H. Fink, Lauren S. Andersen, Florian N. Becker, Goratz Beobide-Arsuaga, Marcus Breil, Giacomo Cozzi, Jens Heinke, Lisa Jach, Deborah Niermann, Dragan Petrovic, Andy Richling, Johannes Riebold, Stella Steidl, Laura Suarez-Gutierrez, Jordis S. Tradowsky, Dim Coumou, Andre Dusterhus, Florian Ellsaesser, Georgios Fragkoulidis, Daniel Gliksman, Doerthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, Elena Xoplaki
Summary: The summer of 2018 experienced simultaneous, widespread, and concurrent heat and drought extremes in northern and central Europe, with significant impacts on agriculture, forests, water supply, and the socio-economic sector. The study provides a comprehensive analysis of the extreme summer in terms of heat and drought, particularly focusing on Germany. The research identifies the atmospheric circulation patterns and climate precursors, as well as the probabilistic attribution of the heatwave to anthropogenic global warming. Future projections indicate a higher frequency and intensity of extreme summers under climate change. Such studies are crucial for adaptation and mitigation strategies.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Dominikus Heinzeller, Ligia Bernardet, Grant Firl, Man Zhang, Xia Sun, Michael Ek
Summary: The Common Community Physics Package (CCPP) is a framework that combines physical atmospheric parameterizations with a host model's dynamical core. It supports various configurations ranging from research to operational numerical weather prediction (NWP). The CCPP Framework offers flexibility in parameterization assembly, order, and call frequency, and is widely adopted in the community.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
