Articles | Volume 19, issue 7
https://doi.org/10.5194/nhess-19-1509-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1509-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effects of horizontal resolution and air–sea flux parameterization on the intensity and structure of simulated Typhoon Haiyan (2013)
Mien-Tze Kueh
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Wen-Mei Chen
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Yang-Fan Sheng
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
Simon C. Lin
Academia Sinica Grid Computing Centre, Institute of Physics, Academia
Sinica, Taipei, Taiwan
Tso-Ren Wu
Institute of Hydrological and Oceanic Sciences, National Central
University, Taoyuan City, Taiwan
Eric Yen
Academia Sinica Grid Computing Centre, Academia Sinica, Taipei, Taiwan
Yu-Lin Tsai
Institute of Hydrological and Oceanic Sciences, National Central
University, Taoyuan City, Taiwan
Research Center for Environmental Changes, Academia Sinica, Taipei,
Taiwan
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Chuan-Yao Lin, Wan-Chin Chen, Yi-Yun Chien, Charles C. K. Chou, Chian-Yi Liu, Helmut Ziereis, Hans Schlager, Eric Förster, Florian Obersteiner, Ovid O. Krüger, Bruna A. Holanda, Mira L. Pöhlker, Katharina Kaiser, Johannes Schneider, Birger Bohn, Klaus Pfeilsticker, Benjamin Weyland, Maria Dolores Andrés Hernández, and John P. Burrows
Atmos. Chem. Phys., 23, 2627–2647, https://doi.org/10.5194/acp-23-2627-2023, https://doi.org/10.5194/acp-23-2627-2023, 2023
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During the EMeRGe campaign in Asia, atmospheric pollutants were measured on board the HALO aircraft. The WRF-Chem model was employed to evaluate the biomass burning (BB) plume transported from Indochina and its impact on the downstream areas. The combination of BB aerosol enhancement with cloud water resulted in a reduction in incoming shortwave radiation at the surface in southern China and the East China Sea, which potentially has significant regional climate implications.
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023, https://doi.org/10.5194/nhess-23-507-2023, 2023
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Near the northern end of Sumatra, the horizontal movement Sumatran fault zone extended to its northern offshore. The movement of offshore fault segments trigger submarine landslides and induce tsunamis. Scenarios of a significant tsunami caused by the combined effect of an earthquake and its triggered submarine landslide at the coast were proposed in this study. Based on our finding, the landslide tsunami hazard assessment and early warning systems in this region should be urgently considered.
Tien-Chi Liu, Tso-Ren Wu, and Shu-Kun Hsu
Nat. Hazards Earth Syst. Sci., 22, 2517–2530, https://doi.org/10.5194/nhess-22-2517-2022, https://doi.org/10.5194/nhess-22-2517-2022, 2022
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The findings from historical reports and numerical studies suggest the 1781 Jiateng Harbor flooding and the 1782 tsunami should be two independent incidents. Local tsunamis generated in southwest Taiwan could be responsible for the 1781 flooding, while the existence of the 1782 tsunami remains doubtful. With the documents of a storm event on 22 May 1782, the possibility that the significant water level of the 1782 tsunami was caused by storm surges or multiple hazards could not be ignored.
Chuan-Yao Lin, Yang-Fan Sheng, Wan-Chin Chen, Charles C. K. Chou, Yi-Yun Chien, and Wen-Mei Chen
Atmos. Chem. Phys., 21, 16893–16910, https://doi.org/10.5194/acp-21-16893-2021, https://doi.org/10.5194/acp-21-16893-2021, 2021
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Taiwan and Hong Kong experience air quality deterioration as typhoons approach. However, the mechanism of the formation of poor air quality may differ and still not be well documented in Taiwan. The interaction between easterly typhoon circulation and Taiwan’s Central Mountain Range resulted in a lee side vortex formation. Simulation results indicated that the lee vortex and land–sea breeze, as well as the boundary layer development, were the key mechanisms.
Tso-Ren Wu, Thi-Hong-Nhi Vuong, Chun-Yu Wang, Chia-Ren Chu, and Chun-Wei Lin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-126, https://doi.org/10.5194/nhess-2020-126, 2020
Manuscript not accepted for further review
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Many studies concentrate on mudflow; however, the stratification between the solid and liquid phase inside the mud material has been not considered. This study provides a modified Bi-viscosity model (MBM) to describe the mudslide flow with the stratification effect. The MBM can simulate the initiation of the mudslide, then the development of the slip surface, the flooding process, the velocity ceasing process, and the stoppage of mudflow.
Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Joshua S. Fu, Xuemei Wang, Syuichi Itahashi, Kazuyo Yamaji, Tatsuya Nagashima, Hyo-Jung Lee, Cheol-Hee Kim, Chuan-Yao Lin, Lei Chen, Meigen Zhang, Zhining Tao, Jie Li, Mizuo Kajino, Hong Liao, Zhe Wang, Kengo Sudo, Yuesi Wang, Yuepeng Pan, Guiqian Tang, Meng Li, Qizhong Wu, Baozhu Ge, and Gregory R. Carmichael
Atmos. Chem. Phys., 20, 181–202, https://doi.org/10.5194/acp-20-181-2020, https://doi.org/10.5194/acp-20-181-2020, 2020
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Evaluation and uncertainty investigation of NO2, CO and NH3 modeling over China were conducted in this study using 14 chemical transport model results from MICS-Asia III. All models largely underestimated CO concentrations and showed very poor performance in reproducing the observed monthly variations of NH3 concentrations. Potential factors related to such deficiencies are investigated and discussed in this paper.
Jie Li, Tatsuya Nagashima, Lei Kong, Baozhu Ge, Kazuyo Yamaji, Joshua S. Fu, Xuemei Wang, Qi Fan, Syuichi Itahashi, Hyo-Jung Lee, Cheol-Hee Kim, Chuan-Yao Lin, Meigen Zhang, Zhining Tao, Mizuo Kajino, Hong Liao, Meng Li, Jung-Hun Woo, Jun-ichi Kurokawa, Zhe Wang, Qizhong Wu, Hajime Akimoto, Gregory R. Carmichael, and Zifa Wang
Atmos. Chem. Phys., 19, 12993–13015, https://doi.org/10.5194/acp-19-12993-2019, https://doi.org/10.5194/acp-19-12993-2019, 2019
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This study evaluated and intercompared 14 CTMs with ozone observations in East Asia, within the framework of the Model Inter-Comparison Study for ASIA Phase III (MICS-Asia III). Potential causes of the discrepancies between model results and observation were investigated by assessing the planetary boundary layer heights, emission fluxes, dry deposition, chemistry and vertical transport among models. Finally, a multi-model estimate of pollution distributions was provided.
Yu-Sheng Sun, Po-Fei Chen, Chien-Chih Chen, Ya-Ting Lee, Kuo-Fong Ma, and Tso-Ren Wu
Nat. Hazards Earth Syst. Sci., 18, 2081–2092, https://doi.org/10.5194/nhess-18-2081-2018, https://doi.org/10.5194/nhess-18-2081-2018, 2018
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The maximum possible earthquake magnitude is Mw 8.15 with an average slip of 8.25 m in the southernmost portion of the Ryukyu Trench. One hundred slip distributions of the seismic rupture surface were generated by a stochastic slip model. The simulated results demonstrate that the complexity of the rupture plane has a significant influence on the near field for local tsunamis. The propagation of tsunami waves and the peak wave heights largely vary in response to the slip distribution.
Chuan-Yao Lin, Chiung-Jui Su, Hiroyuki Kusaka, Yuko Akimoto, Yang-Fan Sheng, Jr-Chuan Huang, and Huang-Hsiung Hsu
Atmos. Chem. Phys., 16, 1809–1822, https://doi.org/10.5194/acp-16-1809-2016, https://doi.org/10.5194/acp-16-1809-2016, 2016
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This study evaluated the impact of urbanization over northern Taiwan using the Weather Research and Forecasting (WRF) Model coupled with the Noah land-surface model and a modified urban canopy model (WRF-UCM2D). WRF-UCM2D performed much better than the original UCM coupled with WRF (WRF-UCM) at non-urban stations with a low urban fraction during nighttime. The result of this study has crucial implications for assessing the impacts of urbanization on air quality and regional climate.
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Nat. Hazards Earth Syst. Sci., 23, 1139–1155, https://doi.org/10.5194/nhess-23-1139-2023, https://doi.org/10.5194/nhess-23-1139-2023, 2023
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Robert Vautard, Geert Jan van Oldenborgh, Rémy Bonnet, Sihan Li, Yoann Robin, Sarah Kew, Sjoukje Philip, Jean-Michel Soubeyroux, Brigitte Dubuisson, Nicolas Viovy, Markus Reichstein, Friederike Otto, and Iñaki Garcia de Cortazar-Atauri
Nat. Hazards Earth Syst. Sci., 23, 1045–1058, https://doi.org/10.5194/nhess-23-1045-2023, https://doi.org/10.5194/nhess-23-1045-2023, 2023
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A deep frost occurred in early April 2021, inducing severe damages in grapevine and fruit trees in France. We found that such extreme frosts occurring after the start of the growing season such as those of April 2021 are currently about 2°C colder [0.5 °C to 3.3 °C] in observations than in preindustrial climate. This observed intensification of growing-period frosts is attributable, at least in part, to human-caused climate change, making the 2021 event 50 % more likely [10 %–110 %].
Diego S. Carrió
Nat. Hazards Earth Syst. Sci., 23, 847–869, https://doi.org/10.5194/nhess-23-847-2023, https://doi.org/10.5194/nhess-23-847-2023, 2023
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The accurate prediction of medicanes still remains a key challenge in the scientific community because of their poor predictability. In this study we assimilate different observations to improve the trajectory and intensity forecasts of the Qendresa Medicane. Results show the importance of using data assimilation techniques to improve the estimate of the atmospheric flow in the upper-level atmosphere, which has been shown to be key to improve the prediction of Qendresa.
Chung-Chieh Wang and Duc Van Nguyen
Nat. Hazards Earth Syst. Sci., 23, 771–788, https://doi.org/10.5194/nhess-23-771-2023, https://doi.org/10.5194/nhess-23-771-2023, 2023
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A record-breaking rainfall event over central Vietnam is investigated. Key factors include the combined effect of northeasterly wind, easterly wind blowing to central Vietnam from the western North Pacific (WNP), southeasterly wind, local topography, and high sea surface temperature (SST) over WNP and the South China Sea (SCS). The cloud-resolving storm simulator (CReSS) is applied to simulate this event. The results show that the model mostly captured the quantitative rainfall of this event.
Yi Yang, Douglas Maraun, Albert Ossó, and Jianping Tang
Nat. Hazards Earth Syst. Sci., 23, 693–709, https://doi.org/10.5194/nhess-23-693-2023, https://doi.org/10.5194/nhess-23-693-2023, 2023
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This study quantifies the spatiotemporal variation and characteristics of compound long-duration dry and hot events in China over the 1961–2014 period. The results show that over the past few decades, there has been a substantial increase in the frequency of these compound events across most parts of China, which is dominated by rising temperatures. We detect a strong increase in the spatially contiguous areas experiencing concurrent dry and hot conditions.
Isabella Aitkenhead, Yuriy Kuleshov, Jessica Bhardwaj, Zhi-Weng Chua, Chayn Sun, and Suelynn Choy
Nat. Hazards Earth Syst. Sci., 23, 553–586, https://doi.org/10.5194/nhess-23-553-2023, https://doi.org/10.5194/nhess-23-553-2023, 2023
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A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years (2014–2020) was conducted to demonstrate the development and validate the application of a tailored and semi-dynamic drought risk assessment methodology. Hazard, vulnerability, and exposure indicators appropriate for monitoring drought in PNG provinces were selected. The risk assessment accurately indicated a strong drought event in 2015–2016 and a moderate event in 2019.
Anna Karali, Konstantinos V. Varotsos, Christos Giannakopoulos, Panagiotis P. Nastos, and Maria Hatzaki
Nat. Hazards Earth Syst. Sci., 23, 429–445, https://doi.org/10.5194/nhess-23-429-2023, https://doi.org/10.5194/nhess-23-429-2023, 2023
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As climate change leads to more frequent and severe fires, forecasting fire danger before fire season begins can support fire management. This study aims to provide high-resolution probabilistic seasonal fire danger forecasts in a Mediterranean environment and assess their ability to capture years with increased fire activity. Results indicate that forecasts are skillful in predicting above-normal fire danger conditions and can be exploited by regional authorities in fire prevention management.
Vincent Schippers and Wouter Botzen
Nat. Hazards Earth Syst. Sci., 23, 179–204, https://doi.org/10.5194/nhess-23-179-2023, https://doi.org/10.5194/nhess-23-179-2023, 2023
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Researchers studying economic impacts of natural disasters increasingly use night light as a proxy for local economic activity, when socioeconomic data are unavailable. But often it is unclear what changes in light intensity represent in the context of disasters. We study this in detail for Hurricane Katrina and find a strong correlation with building damage and changes in population and employment. We conclude that night light data are useful to study local impacts of natural disasters.
Bastien François and Mathieu Vrac
Nat. Hazards Earth Syst. Sci., 23, 21–44, https://doi.org/10.5194/nhess-23-21-2023, https://doi.org/10.5194/nhess-23-21-2023, 2023
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Compound events (CEs) result from a combination of several climate phenomena. In this study, we propose a new methodology to assess the time of emergence of CE probabilities and to quantify the contribution of marginal and dependence properties of climate phenomena to the overall CE probability changes. By applying our methodology to two case studies, we show the importance of considering changes in both marginal and dependence properties for future risk assessments related to CEs.
Daniel Krieger, Sebastian Brune, Patrick Pieper, Ralf Weisse, and Johanna Baehr
Nat. Hazards Earth Syst. Sci., 22, 3993–4009, https://doi.org/10.5194/nhess-22-3993-2022, https://doi.org/10.5194/nhess-22-3993-2022, 2022
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Accurate predictions of storm activity are desirable for coastal management. We investigate how well a climate model can predict storm activity in the German Bight 1–10 years in advance. We let the model predict the past, compare these predictions to observations, and analyze whether the model is doing better than simple statistical predictions. We find that the model generally shows good skill for extreme periods, but the prediction timeframes with good skill depend on the type of prediction.
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 22, 3875–3895, https://doi.org/10.5194/nhess-22-3875-2022, https://doi.org/10.5194/nhess-22-3875-2022, 2022
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The influence of model resolution and settings on drought reproduction in Germany between 1980–2009 is investigated here. Outputs from a high-resolution model with settings tailored to the target region are compared to those from coarser-resolution models with more general settings. Gridded observational data sets serve as reference. Regarding the reproduction of drought characteristics, all models perform on a similar level, while for trends, only the modified model produces reliable outputs.
Carmelo Cammalleri, Niall McCormick, and Andrea Toreti
Nat. Hazards Earth Syst. Sci., 22, 3737–3750, https://doi.org/10.5194/nhess-22-3737-2022, https://doi.org/10.5194/nhess-22-3737-2022, 2022
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We evaluated the ability of vegetation indices derived from satellite data to capture annual yield variations across Europe. The strength of the relationship varies throughout the year, with March–October representing the optimal period in most cases. Spatial differences were also observed, with the best results obtained in the Mediterranean regions.
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
Nat. Hazards Earth Syst. Sci., 22, 3701–3724, https://doi.org/10.5194/nhess-22-3701-2022, https://doi.org/10.5194/nhess-22-3701-2022, 2022
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In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena, we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
Julia F. Lockwood, Galina S. Guentchev, Alexander Alabaster, Simon J. Brown, Erika J. Palin, Malcolm J. Roberts, and Hazel E. Thornton
Nat. Hazards Earth Syst. Sci., 22, 3585–3606, https://doi.org/10.5194/nhess-22-3585-2022, https://doi.org/10.5194/nhess-22-3585-2022, 2022
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We describe how we developed a set of 1300 years' worth of European winter windstorm footprints, using a multi-model ensemble of high-resolution global climate models, for use by the insurance industry to analyse windstorm risk. The large amount of data greatly reduces uncertainty on risk estimates compared to using shorter observational data sets and also allows the relationship between windstorm risk and predictable large-scale climate indices to be quantified.
Ed Hawkins, Philip Brohan, Samantha Burgess, Stephen Burt, Gilbert Compo, Suzanne Gray, Ivan Haigh, Hans Hersbach, Kiki Kuijjer, Oscar Martinez-Alvarado, Chesley McColl, Andrew Schurer, Laura Slivinski, and Joanne Williams
EGUsphere, https://doi.org/10.5194/egusphere-2022-1045, https://doi.org/10.5194/egusphere-2022-1045, 2022
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We examine a severe windstorm that occurred in February 1903 and caused significant damage in the UK & Ireland. Using newly digitised weather observations from the time of the storm, combined with a modern weather forecast model, allows us to determine why this storm caused so much damage. We demonstrate that this event is one of the most severe windstorms to affect this region since detailed records began. This approach establishes a new tool to improve assessments of risk from extreme weather.
Haoran Zhu, Priscilla Obeng Oforiwaa, and Guofeng Su
Nat. Hazards Earth Syst. Sci., 22, 3349–3359, https://doi.org/10.5194/nhess-22-3349-2022, https://doi.org/10.5194/nhess-22-3349-2022, 2022
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We promote a new method to detect waterlogging disasters. Residents are directly affected by waterlogging, and we can collect their comments on social networks. Compared to official-authentication and personal-certification users, the microblogs posted by general users can better show the intensity and timing of waterlogging. Through text and sentiment features, we can separate microblogs with waterlogging information from other ones and mark high-risk regions on maps.
Rafaela Jane Delfino, Gerry Bagtasa, Kevin Hodges, and Pier Luigi Vidale
Nat. Hazards Earth Syst. Sci., 22, 3285–3307, https://doi.org/10.5194/nhess-22-3285-2022, https://doi.org/10.5194/nhess-22-3285-2022, 2022
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We showed the effects of altering the choice of cumulus schemes, surface flux options, and spectral nudging with a high level of sensitivity to cumulus schemes in simulating an intense typhoon. We highlight the advantage of using an ensemble of cumulus parameterizations to take into account the uncertainty in simulating typhoons such as Haiyan in 2013. This study is useful in addressing the growing need to plan and prepare for as well as reduce the impacts of intense typhoons in the Philippines.
Emma Elizabeth Aalbers, Erik van Meijgaard, Geert Lenderink, Hylke de Vries, and Bart J. J. M. van den Hurk
EGUsphere, https://doi.org/10.5194/egusphere-2022-954, https://doi.org/10.5194/egusphere-2022-954, 2022
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To examine the impact of global warming on west-central European droughts, we have constructed future analogues of recent summers. Years that went hardly noticed in the present-day climate may emerge as very dry and hot in a warmer world. Extreme droughts like 2018 further intensify and the local temperature rise is much larger than in most summers. These changes can be directly linked to real world events, which make the results very tangible and hence useful for climate change communication.
Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, and Maud Martet
Nat. Hazards Earth Syst. Sci., 22, 2943–2962, https://doi.org/10.5194/nhess-22-2943-2022, https://doi.org/10.5194/nhess-22-2943-2022, 2022
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The objective of this study is to prepare the assimilation of satellite lightning data in the French regional numerical weather prediction system. The assimilation of lightning data requires an observation operator, based on empirical relationships between the lightning observations and a set of proxies derived from the numerical weather prediction system variables. We fit machine learning regression models to our data to yield those relationships and to investigate the best proxy for lightning.
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 Tradowsky, Dim Coumou, André Düsterhus, Florian Ellsäßer, Georgios Fragkoulidis, Daniel Gliksman, Dörthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, and Elena Xoplaki
EGUsphere, https://doi.org/10.5194/egusphere-2022-813, https://doi.org/10.5194/egusphere-2022-813, 2022
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Here, we present a comprehensive, multi-faceted analysis of the 2018 extreme summer in terms of heat and drought in central and northern Europe with a particular focus on Germany. Using different analysis approaches we study (a) the extremeness and attribution to anthropogenic climate change (climate perspective), as well as (b) the synoptic dynamics in concert with the role of slowly varying boundary conditions at the ocean and continental surfaces (seasonal and weather perspective).
Dirk Thielen, Paolo Ramoni-Perazzi, Mary L. Puche, Marco Marquez, José I. Quintero, Wilmer Rojas, Alberto Quintero, Guillermo Bianchi, Irma A. Soto-Werschitz, and Marco Aurelio Arizapana-Almonacid
EGUsphere, https://doi.org/10.5194/egusphere-2022-763, https://doi.org/10.5194/egusphere-2022-763, 2022
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Extreme El Niño events are significantly different from other El Niños, standing out for their powerful impacts, and are predicted to increase in frequency and intensity. In this regard, we provide valuable and highly strategic information on the similarities and differences between the effects on precipitation from types of extreme El Niño, highlighting spatially and quantitatively, those regions where most extreme precipitation anomalies are most likely to occur in extreme events.
Cedric Gacial Ngoungue Langue, Christophe Lavaysse, Mathieu Vrac, and Cyrille Flamant
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-192, https://doi.org/10.5194/nhess-2022-192, 2022
Revised manuscript accepted for NHESS
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Heat waves (HW) are climatic hazards affecting the planet. We assess here uncertainties encountered in the process of HW detection and analyze their recent trends in West Africa using reanalysis data. Three types of uncertainties have been investigated. We identified 4 years with higher frequency of HW possibly due to higher sea surface temperatures in the Equatorial Atlantic. We noticed an increase in HW characteristics during the last decade, which could be a consequence of climate change.
Cécile Duvillier, Nicolas Eckert, Guillaume Evin, and Michael Deschâtres
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-177, https://doi.org/10.5194/nhess-2022-177, 2022
Revised manuscript accepted for NHESS
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Identification of snow avalanche Potential Release Areas (PRAs) is useful for objective hazard assessment. This study develops a method that efficiently identifies individual PRAs based on terrain analysis and watershed delineation, and demonstrates its efficiency in the French Alps context using an extensive cadastre of past avalanche limits. Crucial steps to reach high accuracy in PRA detection are highlighted and outlooks for further progresses are discussed.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
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Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Chung-Chieh Wang, Pi-Yu Chuang, Shi-Ting Chen, Dong-In Lee, and Kazuhisa Tsuboki
Nat. Hazards Earth Syst. Sci., 22, 1795–1817, https://doi.org/10.5194/nhess-22-1795-2022, https://doi.org/10.5194/nhess-22-1795-2022, 2022
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In this study, cloud-resolving simulations are performed under idealized and uniform southwesterly flow direction and speed to investigate the rainfall regimes in the Mei-yu season and the role of complex mesoscale topography on rainfall without the influence of unwanted disturbances, including a low-Froude number regime where the thermodynamic effects and island circulation dominate, a high-Froude number regime where topographic rainfall in a flow-over scenario prevails, and a mixed regime.
Viorica Nagavciuc, Patrick Scholz, and Monica Ionita
Nat. Hazards Earth Syst. Sci., 22, 1347–1369, https://doi.org/10.5194/nhess-22-1347-2022, https://doi.org/10.5194/nhess-22-1347-2022, 2022
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Here we have assessed the variability and trends of hot and dry summers in Romania. The length, spatial extent, and frequency of heat waves in Romania have increased significantly over the last 70 years, while no significant changes have been observed in the drought conditions. The increased frequency of heat waves, especially after the 1990s, could be partially explained by an increase in the geopotential height over the eastern part of Europe.
Joris Pianezze, Jonathan Beuvier, Cindy Lebeaupin Brossier, Guillaume Samson, Ghislain Faure, and Gilles Garric
Nat. Hazards Earth Syst. Sci., 22, 1301–1324, https://doi.org/10.5194/nhess-22-1301-2022, https://doi.org/10.5194/nhess-22-1301-2022, 2022
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Most numerical weather and oceanic prediction systems do not consider ocean–atmosphere feedback during forecast, and this can lead to significant forecast errors, notably in cases of severe situations. A new high-resolution coupled ocean–atmosphere system is presented in this paper. This forecast-oriented system, based on current regional operational systems and evaluated using satellite and in situ observations, shows that the coupling improves both atmospheric and oceanic forecasts.
Katherine L. Towey, James F. Booth, Alejandra Rodriguez Enriquez, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 22, 1287–1300, https://doi.org/10.5194/nhess-22-1287-2022, https://doi.org/10.5194/nhess-22-1287-2022, 2022
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Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The influence of tropical cyclone characteristics, including its proximity, intensity, path angle, and speed, on the magnitude of storm surge is examined along the eastern United States. No individual characteristic was found to be strongly related to how much surge occurred at a site, though there is an increased likelihood of high surge occurring when tropical cyclones are both strong and close to a location.
Arnau Amengual
Nat. Hazards Earth Syst. Sci., 22, 1159–1179, https://doi.org/10.5194/nhess-22-1159-2022, https://doi.org/10.5194/nhess-22-1159-2022, 2022
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On 12 and 13 September 2019, a long-lasting heavy precipitation episode resulted in widespread flash flooding over eastern Spain. Well-organized and quasi-stationary convective structures impacted a vast area with rainfall amounts over 200 mm. The very dry initial soil moisture conditions resulted in a dampened hydrological response: until runoff thresholds were exceeded, infiltration-excess generation did not start. This threshold-based behaviour is explored through simple scaling theory.
Benjamin J. Hatchett, Alan M. Rhoades, and Daniel J. McEvoy
Nat. Hazards Earth Syst. Sci., 22, 869–890, https://doi.org/10.5194/nhess-22-869-2022, https://doi.org/10.5194/nhess-22-869-2022, 2022
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Snow droughts, or below-average snowpack, can result from either dry conditions and/or rainfall instead of snowfall. Monitoring snow drought through time and across space is important to evaluate when snow drought onset occurred, its duration, spatial extent, and severity as well as what conditions created it or led to its termination. We present visualization techniques, including a web-based snow-drought-tracking tool, to evaluate snow droughts and assess their impacts in the western US.
Erika Médus, Emma D. Thomassen, Danijel Belušić, Petter Lind, Peter Berg, Jens H. Christensen, Ole B. Christensen, Andreas Dobler, Erik Kjellström, Jonas Olsson, and Wei Yang
Nat. Hazards Earth Syst. Sci., 22, 693–711, https://doi.org/10.5194/nhess-22-693-2022, https://doi.org/10.5194/nhess-22-693-2022, 2022
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We evaluate the skill of a regional climate model, HARMONIE-Climate, to capture the present-day characteristics of heavy precipitation in the Nordic region and investigate the added value provided by a convection-permitting model version. The higher model resolution improves the representation of hourly heavy- and extreme-precipitation events and their diurnal cycle. The results indicate the benefits of convection-permitting models for constructing climate change projections over the region.
Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 22, 677–692, https://doi.org/10.5194/nhess-22-677-2022, https://doi.org/10.5194/nhess-22-677-2022, 2022
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For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
Anja T. Rädler
Nat. Hazards Earth Syst. Sci., 22, 659–664, https://doi.org/10.5194/nhess-22-659-2022, https://doi.org/10.5194/nhess-22-659-2022, 2022
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Natural disasters are causing high losses worldwide. To adequately deal with this loss potential, a reinsurer has to quantitatively assess the individual risks of natural catastrophes and how these risks are changing over time with respect to climate change. From a reinsurance perspective, the most pressing scientific challenges related to natural hazards are addressed, and broad changes are suggested that should be achieved by the scientific community to address these hazards in the future.
Jussi Leinonen, Ulrich Hamann, Urs Germann, and John R. Mecikalski
Nat. Hazards Earth Syst. Sci., 22, 577–597, https://doi.org/10.5194/nhess-22-577-2022, https://doi.org/10.5194/nhess-22-577-2022, 2022
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We evaluate the usefulness of different data sources and variables to the short-term prediction (
nowcasting) of severe thunderstorms using machine learning. Machine-learning models are trained with data from weather radars, satellite images, lightning detection and weather forecasts and with terrain elevation data. We analyze the benefits provided by each of the data sources to predicting hazards (heavy precipitation, lightning and hail) caused by the thunderstorms.
Rubina Ansari and Giovanna Grossi
Nat. Hazards Earth Syst. Sci., 22, 287–302, https://doi.org/10.5194/nhess-22-287-2022, https://doi.org/10.5194/nhess-22-287-2022, 2022
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The current research investigated spatio-temporal evolution of wet–dry events collectively, their characteristics, and their transition (wet to dry and dry to wet) across the Upper Jhelum Basin using the standardized precipitation evapotranspiration (SPEI) at a monthly timescale. The results provide significant knowledge to identify and locate most vulnerable geographical hotspots of extreme events, providing the basis for more effective risk reduction and climate change adaptation plans.
Dominik Jackisch, Bi Xuan Yeo, Adam D. Switzer, Shaoneng He, Danica Linda M. Cantarero, Fernando P. Siringan, and Nathalie F. Goodkin
Nat. Hazards Earth Syst. Sci., 22, 213–226, https://doi.org/10.5194/nhess-22-213-2022, https://doi.org/10.5194/nhess-22-213-2022, 2022
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The Philippines is a nation very vulnerable to devastating typhoons. We investigate if stable isotopes of precipitation can be used to detect typhoon activities in the Philippines based on daily isotope measurements from Metropolitan Manila. We find that strong typhoons such as Rammasun, which occurred in July 2014, leave detectable isotopic signals in precipitation. Besides other factors, the distance of the typhoon to the sampling site plays a key role in influencing the signal.
Chung-Chieh Wang, Pi-Yu Chuang, Chih-Sheng Chang, Kazuhisa Tsuboki, Shin-Yi Huang, and Guo-Chen Leu
Nat. Hazards Earth Syst. Sci., 22, 23–40, https://doi.org/10.5194/nhess-22-23-2022, https://doi.org/10.5194/nhess-22-23-2022, 2022
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This study indicated that the Cloud-Resolving Storm Simulator (CReSS) model significantly improved heavy-rainfall quantitative precipitation forecasts in the Taiwan Mei-yu season. At high resolution, the model has higher threat scores and is more skillful in predicting larger rainfall events compared to smaller ones. And the strength of the model mainly lies in the topographic rainfall rather than less predictable and migratory events due to nonlinearity.
Matthieu Plu, Guillaume Bigeard, Bojan Sič, Emanuele Emili, Luca Bugliaro, Laaziz El Amraoui, Jonathan Guth, Beatrice Josse, Lucia Mona, and Dennis Piontek
Nat. Hazards Earth Syst. Sci., 21, 3731–3747, https://doi.org/10.5194/nhess-21-3731-2021, https://doi.org/10.5194/nhess-21-3731-2021, 2021
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Volcanic eruptions that spread out ash over large areas, like Eyjafjallajökull in 2010, may have huge economic consequences due to flight cancellations. In this article, we demonstrate the benefits of source term improvement and of data assimilation for quantifying volcanic ash concentrations. The work, which was supported by the EUNADICS-AV project, is the first one, to our knowledge, that demonstrates the benefit of the assimilation of ground-based lidar data over Europe during an eruption.
Elizaveta Felsche and Ralf Ludwig
Nat. Hazards Earth Syst. Sci., 21, 3679–3691, https://doi.org/10.5194/nhess-21-3679-2021, https://doi.org/10.5194/nhess-21-3679-2021, 2021
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This study applies artificial neural networks to predict drought occurrence in Munich and Lisbon, with a lead time of 1 month. An analysis of the variables that have the highest impact on the prediction is performed. The study shows that the North Atlantic Oscillation index and air pressure 1 month before the event have the highest importance for the prediction. Moreover, it shows that seasonality strongly influences the goodness of prediction for the Lisbon domain.
Benjamin Poschlod
Nat. Hazards Earth Syst. Sci., 21, 3573–3598, https://doi.org/10.5194/nhess-21-3573-2021, https://doi.org/10.5194/nhess-21-3573-2021, 2021
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Three regional climate models (RCMs) are used to simulate extreme daily rainfall in Bavaria statistically occurring once every 10 or even 100 years. Results are validated with observations. The RCMs can reproduce spatial patterns and intensities, and setups with higher spatial resolutions show better results. These findings suggest that RCMs are suitable for assessing the probability of the occurrence of such rare rainfall events.
Heinz Jürgen Punge, Kristopher M. Bedka, Michael Kunz, Sarah D. Bang, and Kyle F. Itterly
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-342, https://doi.org/10.5194/nhess-2021-342, 2021
Revised manuscript accepted for NHESS
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We have estimated the probability of hail events in South Africa using a combination of satellite observations, reanalysis, and insurance loss data. It is found that hail concentrate mainly in the southeast. Multivariate stochastic modeling of event properties, such as multiple events on a day or track dimensions, yields an event catalog for 25 000 years. This can be used to estimate hail risk for return periods of 200 years, required for insurance companies.
Matthieu Plu, Barbara Scherllin-Pirscher, Delia Arnold Arias, Rocio Baro, Guillaume Bigeard, Luca Bugliaro, Ana Carvalho, Laaziz El Amraoui, Kurt Eschbacher, Marcus Hirtl, Christian Maurer, Marie D. Mulder, Dennis Piontek, Lennart Robertson, Carl-Herbert Rokitansky, Fritz Zobl, and Raimund Zopp
Nat. Hazards Earth Syst. Sci., 21, 2973–2992, https://doi.org/10.5194/nhess-21-2973-2021, https://doi.org/10.5194/nhess-21-2973-2021, 2021
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Past volcanic eruptions that spread out ash over large areas, like Eyjafjallajökull in 2010, forced the cancellation of thousands of flights and had huge economic consequences.
In this article, an international team in the H2020 EU-funded EUNADICS-AV project has designed a probabilistic model approach to quantify ash concentrations. This approach is evaluated against measurements, and its potential use to mitigate the impact of future large-scale eruptions is discussed.
Alexandre Tuel and Olivia Martius
Nat. Hazards Earth Syst. Sci., 21, 2949–2972, https://doi.org/10.5194/nhess-21-2949-2021, https://doi.org/10.5194/nhess-21-2949-2021, 2021
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Extreme river discharge may be triggered by large accumulations of precipitation over short time periods, which can result from the successive occurrence of extreme-precipitation events. We find a distinct spatiotemporal pattern in the temporal clustering behavior of precipitation extremes over Switzerland, with clustering occurring on the northern side of the Alps in winter and on their southern side in fall. Clusters tend to be followed by extreme discharge, particularly in the southern Alps.
Patricia Tarín-Carrasco, Sofia Augusto, Laura Palacios-Peña, Nuno Ratola, and Pedro Jiménez-Guerrero
Nat. Hazards Earth Syst. Sci., 21, 2867–2880, https://doi.org/10.5194/nhess-21-2867-2021, https://doi.org/10.5194/nhess-21-2867-2021, 2021
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Uncontrolled wildfires have a substantial impact on the environment and local populations. Although most southern European countries have been impacted by wildfires in the last decades, Portugal has the highest percentage of burned area compared to its whole territory. Under this umbrella, associations between large fires, PM10, and all-cause and cause-specific mortality (circulatory and respiratory) have been explored using Poisson regression models for 2001–2016.
Vincenzo Mazzarella, Rossella Ferretti, Errico Picciotti, and Frank Silvio Marzano
Nat. Hazards Earth Syst. Sci., 21, 2849–2865, https://doi.org/10.5194/nhess-21-2849-2021, https://doi.org/10.5194/nhess-21-2849-2021, 2021
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Forecasting precipitation over the Mediterranean basin is still a challenge. In this context, data assimilation techniques play a key role in improving the initial conditions and consequently the timing and position of the precipitation forecast. For the first time, the ability of a cycling 4D-Var to reproduce a heavy rain event in central Italy, as well as to provide a comparison with the largely used cycling 3D-Var, is evaluated in this study.
Avaronthan Veettil Sreenath, Sukumarapillai Abhilash, and Pattathil Vijaykumar
Nat. Hazards Earth Syst. Sci., 21, 2597–2609, https://doi.org/10.5194/nhess-21-2597-2021, https://doi.org/10.5194/nhess-21-2597-2021, 2021
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Lightning is a multifaceted hazard with widespread negative consequences for the environment and society. We explore how El Niño–Southern Oscillation (ENSO) phases impact the lightning over India by modulating the deep convection and associated atmospheric thermodynamics. Results show that ENSO phases directly influence lightning during monsoon and postmonsoon seasons by pushing the mean position of subtropical westerlies southward.
Michelle D. Spruce, Rudy Arthur, Joanne Robbins, and Hywel T. P. Williams
Nat. Hazards Earth Syst. Sci., 21, 2407–2425, https://doi.org/10.5194/nhess-21-2407-2021, https://doi.org/10.5194/nhess-21-2407-2021, 2021
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Despite increased use of impact-based weather warnings, the social impacts of extreme weather events lie beyond the reach of conventional meteorological observations and remain difficult to quantify. This study compares data collected from the social media platform Twitter with a manually curated database of high-impact rainfall events across the globe between January–June 2017. Twitter is found to be a good detector of impactful rainfall events and, therefore, a useful source of impact data.
Folmer Krikken, Flavio Lehner, Karsten Haustein, Igor Drobyshev, and Geert Jan van Oldenborgh
Nat. Hazards Earth Syst. Sci., 21, 2169–2179, https://doi.org/10.5194/nhess-21-2169-2021, https://doi.org/10.5194/nhess-21-2169-2021, 2021
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In this study, we analyse the role of climate change in the forest fires that raged through large parts of Sweden in the summer of 2018 from a meteorological perspective. This is done by studying observationally constrained data and multiple climate models. We find a small reduced probability of such events, based on reanalyses, but a small increased probability due to global warming up to now and a more robust increase in the risk for such events in the future, based on climate models.
Florian Pappenberger, Florence Rabier, and Fabio Venuti
Nat. Hazards Earth Syst. Sci., 21, 2163–2167, https://doi.org/10.5194/nhess-21-2163-2021, https://doi.org/10.5194/nhess-21-2163-2021, 2021
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The European Centre for Medium-Range Weather Forecasts mission is to deliver high-quality global medium‐range (3–15 d ahead of time) weather forecasts and monitoring of the Earth system. We have published a new strategy, and in this paper we discuss what this means for forecasting and monitoring natural hazards.
Elissavet Galanaki, Konstantinos Lagouvardos, Vassiliki Kotroni, Theodore Giannaros, and Christos Giannaros
Nat. Hazards Earth Syst. Sci., 21, 1983–2000, https://doi.org/10.5194/nhess-21-1983-2021, https://doi.org/10.5194/nhess-21-1983-2021, 2021
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A two-way coupled hydrometeorological model (WRF-Hydro) is used for flood forecasting purposes in medium-catchment-size basins in Greece. The results showed the capability of WRF-Hydro to adequately simulate the observed discharge and the slight improvement in terms of quantitative precipitation forecasting compared to the WRF-only simulations.
Cited articles
Atkinson, G. D. and Holliday, C. R.: Tropical cyclone minimum sea level
pressure/maximum sustained wind relationship for the western North Pacific,
Mon. Weather Rev., 105, 421–427, 1977.
Bao, J.-W., Gopalakrishnan, S. G., Michelson, S. A., Marks, F. D., and
Montgomery, M. T.: Impact of physics representations in the HWRFX model on
simulated hurricane structure and wind–pressure relationships, Mon. Weather
Rev., 140, 3278–3299, https://doi.org/10.1175/MWR-D-11-00332.1, 2012.
Bell, M. M., Montgomery, M. T., and Emanuel, K. A.: Air–sea enthalpy and
momentum exchange at major hurricane wind speeds observed during CBLAST, J.
Atmos. Sci., 69, 3197–3222, https://doi.org/10.1175/JAS-D-11-0276.1, 2012.
Bender, M. A., Knutson, T. R., Tuleya, R. E., Sirutis, J. J., Vecchi, G. A.,
Garner, S. T., and Held, I. M.: Modeled impact of anthropogenic warming on
the frequency of intense Atlantic hurricanes, Science, 327, 454–458,
https://doi.org/10.1126/science.1180568, 2010.
Braun, S. A. and Tao, W.-K.: Sensitivity of high-resolution simulations of
Hurricane Bob (1991) to planetary boundary layer parameterizations, Mon.
Weather Rev., 128, 3941–3961, 2000.
Brutsaert, W.: A theory for local evaporation (or heat transfer) from rough
and smooth surfaces at ground level, Water Resour. Res., 11, 543–550,
1975a.
Brutsaert, W.: The Roughness Length for Water Vapor, Sensible Heat, and
other Scalars, J. Atmos. Sci., 32, 2028–2031, 1975b.
Brutsaert, W.: Heat and mass transfer to and from surfaces with dense
vegetation or similar permeable roughness, Bound.-Layer Meteor., 16,
365–388, 1979.
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution requirements
for the simulation of deep moist convection, Mon. Weather Rev., 131,
2394–2416, 2003.
Charnock, H.: Wind stress on a water surface, Q. J. Roy. Meteor. Soc.,
81, 639–640, 1955.
Chen, H. and Zhang, D.-L.: On the rapid intensification of Hurricane Wilma
(2005). Part II: Convective bursts and the upper-level warm core, J. Atmos.
Sci., 70, 146–162, https://doi.org/10.1175/JAS-D-12-062.1, 2013.
Chen, S., Campbell, T. J., Jin, H., Gabersek, S., Hodur, R. M., and Martin,
P.: Effect of Two-Way Air–Sea Coupling in High and Low Wind Speed Regimes,
Mon. Weather Rev., 130, 3579–3602, https://doi.org/10.1175/2009MWR3119.1, 2010.
Chen, S. S., Price, J. F., Zhao, W., Donelan, M. A., and Walsh, E. J.: The
CBLAST-Hurricane program and the next-generation fully coupled
atmosphere-wave-ocean models for hurricane research and prediction, B.
Am. Meteorol. Soc., 88, 311–317, https://doi.org/10.1175/BAMS-88-3-311, 2007.
Coronel, R., Sawada, M., and Iwasaki, T.: Impacts of Surface Drag Coefficient
and Planetary Boundary Layer Schemes on the Structure and Energetics of
Typhoon Megi (2010) during Intensification, J. Meteor. Soc. Japan. Ser. II,
94, 55–73, https://doi.org/10.2151/jmsj.2016-004, 2016.
Davis C., Wang, W., Chen, S. S., Chen, Y., Corbosiero, K., DeMaria, M., Dudhia, J., Holland, G., Klemp, J., Michalakes, J., Reeves, H., Rotunno, R., Snyder, C., and Xiao, Q.: Prediction of landfalling hurricanes with the advanced hurricane WRF model, Mon. Weather Rev., 136, 1990–2005, https://doi.org/10.1175/2007MWR2085.1, 2008.
Denis, B., Cote, J., and Laprise, R.: Spectral decomposition of two
dimensional atmospheric fields on limited-area domains using the discrete
cosine transform (DCT), Mon. Weather Rev., 130, 1812–1829, 2002.
Donelan, M. A., Haus, B. K., Reul, N., Plant, W. J., Stiassnie, M., Graber,
H. C., Brown, O. B., and Saltzman, E. S.: On the limiting aerodynamic
roughness of the ocean in very strong winds, Geophys. Res. Lett., 31, L18306,
https://doi.org/10.1029/2004GL019460, 2004.
Drennan, W. M., Zhang, J. A., French, J. R., McCormick, C., and Black, P.
G.: Turbulent fluxes in the hurricane boundary layer. Part II: Latent heat
flux, J. Atmos. Sci., 64, 1103–1115, 2007.
Emanuel, K. A.: An air–sea interaction theory for tropical cyclones. Part
I: Steady-state maintenance, J. Atmos. Sci., 43, 585–604, 1986.
Emanuel, K. A.: Sensitivity of tropical cyclones to surface exchange
coefficients and a revised steady-state model incorporating eye dynamics, J.
Atmos. Sci., 52, 3969–3976, 1995.
Environmental Modeling Center: The GFS atmospheric model, NCEP Office Note 442, 14 pp., available at: http://www.emc.ncep.noaa.gov/officenotes/newernotes/on442.pdf (last access: 24 July 2019), data available at: https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs/ (last access: 20 July 2019), 2003.
Environmental Modeling Center: The Global Forecast System (GFS) – Global Spectral Model (GSM), available at: https://www.emc.ncep.noaa.gov/GFS/doc.php (last access: 24 July 2019), data available at: https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs/ (last access: 20 July 2019), 2016.
Fairall, C. W., Bradley, E. F., Hare, J. E., Grachev, A. A., and Edson, J.
B.: Bulk parameterization of air–sea fluxes: Updates and verification for
the COARE algorithm, J. Climate, 16, 571–591, 2003.
Fierro, A. O., Rogers, R. F., Marks, F. D., and Nolan, D. S.: The impact of
horizontal grid spacing on the microphysical and kinematic structures of
strong tropical cyclones simulated with the WRF-ARW model, Mon. Weather Rev.,
137, 3717–3743, https://doi.org/10.1175/2009MWR2946.1, 2009.
French, J. R., Drennan, W. M., Zhang, J. A., and Black, P. G.: Turbulent
fluxes in the hurricane boundary layer. Part I: Momentum flux, J. Atmos.
Sci., 64, 1089–1102, https://doi.org/10.1175/JAS3887.1, 2007.
Geernaert, G. L., Larsen, S. E., and Hansen, F.: Measurements of wind
stress, heat flux, and turbulence intensity during storm conditions over the
North Sea, J. Geophys. Res., 92, 13127–13139, 1987.
Gemmill, W., Katz, B., and Li, X.: Daily real-time, global sea surface temperature – high-resolution analysis: RTG_SST_HR.
NOAA/NCEP. NOAA/NWS/NCEP/MMAB Office Note Nr. 260, 39 pp.,
available at: https://polar.ncep.noaa.gov/mmab/papers/tn260/ (last access: 19 July 2019), data available at: ftp://polar.ncep.noaa.gov/pub/history/sst/ (last access: 20 July 2019), 2007.
Gentry, M. S. and Lackmann, G. M.: Sensitivity of simulated tropical cyclone
structure and intensity to horizontal resolution, Mon. Weather Rev., 138,
688–704, https://doi.org/10.1175/2009MWR2976.1, 2010.
Gopalakrishnan, S. G., Marks Jr., F., Zhang, X., Bao, J.-W., Yeh, K.-S., and
Atlas, R.: The experimental HWRF system: A study on the influence of
horizontal resolution on the structure and intensity changes in tropical
cyclones using an idealized framework, Mon. Weather Rev., 139, 1762–1784,
do:10.1175/2010MWR3535.1, 2011.
Green, B. W. and Zhang, F.: Impacts of air–sea flux parameterizations on the
intensity and structure of tropical cyclones, Mon. Weather Rev., 141,
2308–2324, https://doi.org/10.1175/MWR-D-12-00274.1, 2013.
Grell, G. A., Dudhia, J., and Stauffer, D. R.: A description of the
fifth-generation Penn State/NCAR Mesoscale Model (MM5), NCAR Tech. Note NCAR
TN-398-1-STR, 117 pp., 1994.
Hawkins, H. F. and Imbembo, S. M.: The structure of a small, intense hurricane—Inez 1966, Mon. Weather Rev., 104, 418–442,
https://doi.org/10.1175/1520-0493(1976)104<0418:TSOASI>2.0.CO;2, 1976.
Hill, K. A. and Lackmann, G. M.: Analysis of Idealized Tropical Cyclone
Simulations Using the Weather Research and Forecasting Model: Sensitivity to
Turbulence Parameterization and Grid Spacing, Mon. Weather Rev., 137, 745–765,
https://doi.org/10.1175/2008MWR2220.1, 2009.
Hong, S.-Y., Dudhia, J., and Chen, S.-H.: A revised approach to ice
microphysical processes for the bulk parameterization of clouds and
precipitation, Mon. Weather Rev., 132, 103–120, 2004.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with an explicit treatment of entrainment processe, Mon. Weather Rev., 134, 2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long–lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res., 113,
D13103, https://doi.org/10.1029/2008JD009944, 2008.
Jarosz, E., Mitchell, D. A., Wang, D. W., and Teague, W. J.: Bottom-up
determination of air–sea momentum exchange under a major tropical cyclone,
Science, 315, 1707–1709, https://doi.org/10.1126/science.1136466, 2007.
Jiménez, P. A., Dudhia, J., González-Rouco, J. F., Navarro, J.,
Montávez, J. P., and García-Bustamante, E.: A revised scheme for
the WRF surface layer formulation, Mon. Weather Rev., 140, 898–918,
https://doi.org/10.1175/MWR-D-11-00056.1, 2012.
Kain, J.: The Kain–Fritsch convective parameterization: An update, J. Appl.
Meteor. Climatol., 43, 170–181, 2004.
Kain, J. S. and Fritsch, J. M.: A one–dimensional entraining/detraining
plume model and its application in convective parameterization, J. Atmos.
Sci., 47, 2784–2802, 1990.
Kanada, S. and Wada, A.: Sensitivity to horizontal resolution of the
simulated intensifying rate and inner-core structure of Typhoon Ida, an
extremely intense typhoon, J. Meteor. Soc. Japan, 94A, 181–190,
https://doi.org/10.2151/jmsj.2015-037, 2016.
Kanada, S., Wada, A., Nakano, M., and Kato, T.: Effect of planetary boundary
layer schemes on the development of intense tropical cyclones using a
cloud-resolving model, J. Geophys. Res., 117, D03107,
https://doi.org/10.1029/2011JD016582, 2012.
Knaff, J. A. and Zehr, R. M.: Reexamination of tropical cyclone
wind–pressure relationships, Weather Forecast., 22, 71–88,
https://doi.org/10.1175/WAF965.1, 2007.
Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J., and Neumann, C.
J.: The International Best Track Archive for Climate Stewardship (IBTrACS):
Unifying tropical cyclone best track data, B. Am. Meteorol. Soc., 91,
363–76, https://doi.org/10.1175/2009BAMS2755.1, (data available at: ftp://eclipse.ncdc.noaa.gov/pub/ibtracs/v03r09/wmo/ (last access: 20 July 2019), 2010.
Knapp, K. R., Knaff, J. A., Sampson, C. R., Riggio, G. M., and Schnapp, A. D.: A pressure-based analysis of the historical western North Pacific tropical cyclone intensity record, Mon. Weather Rev., 141, 2611–-2631, https://doi.org/10.1175/MWR-D-12-00323.1, 2013.
Koba, H., Osano, S., Hagiwara, T., Akashi, S., and Kikuchi, T.: Relationship
between the CI-number and central pressure and maximum wind speed in
typhoons, Geophy. Mag., 44, 15–25, 1991 (in English).
Kueh, M.-T.: Multiformity of the tropical cyclone wind–pressure relationship
in the western North Pacific: Discrepancies among four best-track archives,
Environ. Res. Lett., 7, 024015, https://doi.org/10.1088/1748-9326/7/2/024015, 2012.
Lander, M., Guard, C., and Camargo, S.: Super Typhoon Haiyan, in: State of
the Climate in 2013, B. Am. Meteorol. Soc., 95, S112–S114, 2014.
Large, W. G. and Pond, S.: Open ocean momentum flux measurements in moderate
to strong winds, J. Phys. Oceanogr., 11, 324–336, 1981.
Large, W. G. and Pond, S.: Sensible and latent heat flux measurements over
the ocean, J. Phys. Oceanogr., 12, 464–482, 1982.
Li, F., Song, J., and Li, X.: A preliminary evaluation of the necessity of
using a cumulus parameterization scheme in high-resolution simulations of
Typhoon Haiyan (2013), Nat. Hazards, 92, 647–671,
https://doi.org/10.1007/s11069-018-3218-y, 2018.
Lin, I.-I., Pun, I.-F., and Lien, C.-C.: “Category-6” super typhoon Haiyan in
global warming hiatus: Contribution from subsurface ocean warming, Geophys.
Res. Lett., 41, 8547–8553, https://doi.org/10.1002/2014GL061281, 2014.
Ma, L.-M. and Tan, Z.-M.: Improving the behavior of the cumulus
parameterization for tropical cyclone prediction: Convection trigger, Atmos.
Res., 92, 190–211, https://doi.org/10.1016/j.atmosres.2008.09.022, 2009.
Miyamoto, Y., Kajikawa, Y., Yoshida, R., Yamaura, T., Yashiro, H., and
Tomita, H.: Deep moist atmospheric convection in a subkilometer global
simulation, Geophys. Res. Lett., 40, 4922–4926, https://doi.org/10.1002/grl.50944, 2013.
Nolan, D. S., Stern, D. P., and Zhang, J. A.: Evaluation of planetary
boundary layer parameterizations in tropical cyclones by comparison of in
situ observations and high-resolution simulations of Hurricane Isabel
(2003). Part II: Inner-core boundary layer and eyewall structure, Mon. Weather Rev., 137, 3675–3698, https://doi.org/10.1175/2009MWR2786.1, 2009.
On, N., Kim, H. M., and Kim, S.: Effects of Resolution, Cumulus
Parameterization Scheme, and Probability Forecasting on Precipitation
Forecasts in a High-Resolution Limited-Area Ensemble Prediction System,
Asia-Pac. J. Atmos. Sci., 54, 623–637,
https://doi.org/10.1007/s13143-018-0081-4, 2018.
Powell, M. D., Vickery, P. J., and Reinhold, T. A.: Reduced drag coefficient
for high wind speeds in tropical cyclones, Nature, 24, 395–419,
https://doi.org/10.1038/nature01481, 2003.
Richter, D. H., Bohac, R., and Stern, D. P.: An assessment of the flux
profile method for determining air-sea momentum and enthalpy fluxes from
dropsonde data in tropical cyclones, J. Atmos. Sci., 73, 2665–2682,
https://doi.org/10.1175/JAS-D-15-0331.1, 2016.
Schiermeier, Q.: Most powerful hurricanes on the rise, Nature,
https://doi.org/10.1038/news.2010.24, 2010.
Schiermeier, Q.: Did climate change cause Typhoon Haiyan?, Nature,
https://doi.org/10.1038/nature.2013.14139, 2013.
Shimada, U., Kubota, H., Yamada, H., Cayanan, E. O., and Hilario, F. D.:
Intensity and Inner-Core Structure of Typhoon Haiyan (2013) near Landfall:
Doppler Radar Analysis, Mon. Weather Rev., 146, 583–597,
https://doi.org/10.1175/MWR-D-17-0120.1, 2018.
Skamarock, W. C.: Evaluating mesoscale NWP models using kinetic energy
spectra, Mon. Weather Rev., 132, 3019–3032, https://doi.org/10.1175/MWR2830.1, 2004.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A description of the advanced research WRF version 3, NCAR Tech. Note NCAR/TN-475 C STR, 113 pp., 2008.
Smith, S. D.: Coefficients for sea surface wind stress, heat flux, and wind
profiles as a function of wind speed and temperature, J. Geophys. Res., 93,
15467–15472, 1988.
Stauffer, D. R. and Seaman, N. L.: Multiscale 4-dimensional data
assimilation, J. Appl. Meteor. Climatol., 33, 416–434, 1994.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K, Gayno, M. E. G., Wegiel, J., and Cuenca, R. H.: Implementation and verification of the unified
NOAH land surface model in the WRF model, 20th Conference on Weather
Analysis and Forecasting/16th Conference on Numerical Weather Prediction,
American Meteorological Society, Seattle, WA, US, available at: https://ams.confex.com/ams/84Annual/techprogram/paper_69061.htm (last access: 19 July 2019), 2004.
Vickers, D., Mahrt, L., and Andreas, E. L.: Estimates of the 10 m neutral sea
surface drag coefficient from aircraft eddy-covariance measurements, J.
Phys. Oceanogr., 43, 301–310, https://doi.org/10.1175/JPO-D-12-0101.1, 2013.
Wang, H. and Wang, Y.: A numerical study of Typhoon Megi (2010). Part I:
Rapid intensification, Mon. Weather Rev., 142, 29–48,
https://doi.org/10.1175/MWR-D-13-00070.1, 2014.
Wu, J.: Wind stress coefficients over sea surface from breeze to
hurricane, J. Geophys. Res., 87, 9704–9706, 1982.
Yu, X. and Lee, T.-Y.: Role of convective parameterization in simulations of
heavy precipitation systems at grey-zone resolutions – case studies,
Asia-Pac. J. Atmos. Sci., 47, 99–112,
https://doi.org/10.1007/s13143-011-0001-3, 2011.
Yuter, S. E. and Houze, R. A.: Three-dimensional kinematic and microphysical
evolution of Florida cumulonimbus. Part II: Frequency distributions of
vertical velocity, reflectivity, and differential reflectivity, Mon. Weather Rev., 123, 1941–1963, 1995.
Zhang, D.-L. and Chen, H.: Importance of the upper-level warm core in the
rapid intensification of a tropical cyclone, Geophys. Res. Lett., 39,
L02806, https://doi.org/10.1029/2011GL050578, 2012.
Zhang, J. A., Black, P. G., French, J. R., and Drennan, W. M.: First direct
measurements of enthalpy flux in the hurricane boundary layer: The CBLAST
results, Geophys. Res. Lett., 35, L14813, https://doi.org/10.1029/2008GL034374, 2008.
Zhao, B., Qiao, F., Cavaleri, L., Wang, G., Bertotti, L., and Liu, L.:
Sensitivity of typhoon modeling to surface waves and rainfall, J. Geophys.
Res, 122, 1702–1723, 10.1002/2016JC012262, 2017.
Zweers, N. C., Makin, V. K., de Vries, J. W., and Burgers, G.: A sea drag
relation for hurricane wind speeds, Geophys. Res. Lett., 37, L21811,
https://doi.org/10.1029/2010GL045002, 2010.
Short summary
In this study, we show that both the model horizontal resolution and air–sea flux parameterization can exert a large influence on tropical cyclone intensity simulation but with different impacts on wind structures. We highlight the intensification and contraction of the TC eyewall in response to the reduction of grid spacing. We also suggest that a well-developed eyewall is more conducive to the positive effect of flux formulas on TC development.
In this study, we show that both the model horizontal resolution and air–sea flux...
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