Review article
26 Apr 2021
Review article
| 26 Apr 2021
Review article: Observations for high-impact weather and their use in verification
Chiara Marsigli et al.
Related authors
Michele Salmi, Chiara Marsigli, and Manfred Dorninger
Adv. Sci. Res., 19, 29–38, https://doi.org/10.5194/asr-19-29-2022, https://doi.org/10.5194/asr-19-29-2022, 2022
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High resolution, probabilistic weather prediction systems are increasingly able to model lightning activity with unprecedented accuracy. Is the probabilistic approach skillful when applied to localized, deep convection? This work shows that the ensemble prediction system maintained by the German Weather Service is able to provide a useful forecast of lightning activity at a scale of around 200 km and that the probabilistic approach can anticipate possible lack of accuracy in both time and space.
This article is included in the Encyclopedia of Geosciences
Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Pier Paolo Alberoni, and Tiziana Paccagnella
Nonlin. Processes Geophys., 25, 747–764, https://doi.org/10.5194/npg-25-747-2018, https://doi.org/10.5194/npg-25-747-2018, 2018
Short summary
Short summary
Accuracy of numerical weather prediction forecasts is strongly related to the quality of initial conditions employed. To improve them, it seems advantageous to use radar reflectivity observations because of their high spatial and temporal resolution. This is tested in a high-resolution model whose domain covers Italy. Results show that the employment of reflectivity observations improves precipitation forecast accuracy, but the positive impact is lost after a few hours of forecast.
This article is included in the Encyclopedia of Geosciences
Lidia Bressan, Andrea Valentini, Tiziana Paccagnella, Andrea Montani, Chiara Marsigli, and Maria Stefania Tesini
Adv. Sci. Res., 14, 77–84, https://doi.org/10.5194/asr-14-77-2017, https://doi.org/10.5194/asr-14-77-2017, 2017
Short summary
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This study presents the sensitivity of an oceanic model of the Adriatic Sea to the horizontal resolution and to the meteorological forcing. The model is run with two different configurations and with two horizontal grids at 1 and 2 km resolution. To study the influence of the meteorological forcing, the two storms have been reproduced by running ROMS in ensemble mode. Possible optimizations of the model set-up are deduced by the comparison of the different run outputs.
This article is included in the Encyclopedia of Geosciences
R. Ferretti, E. Pichelli, S. Gentile, I. Maiello, D. Cimini, S. Davolio, M. M. Miglietta, G. Panegrossi, L. Baldini, F. Pasi, F. S. Marzano, A. Zinzi, S. Mariani, M. Casaioli, G. Bartolini, N. Loglisci, A. Montani, C. Marsigli, A. Manzato, A. Pucillo, M. E. Ferrario, V. Colaiuda, and R. Rotunno
Hydrol. Earth Syst. Sci., 18, 1953–1977, https://doi.org/10.5194/hess-18-1953-2014, https://doi.org/10.5194/hess-18-1953-2014, 2014
C. Marsigli, A. Montani, and T. Paccagnella
Nonlin. Processes Geophys., 21, 393–403, https://doi.org/10.5194/npg-21-393-2014, https://doi.org/10.5194/npg-21-393-2014, 2014
S. Davolio, M. M. Miglietta, T. Diomede, C. Marsigli, and A. Montani
Hydrol. Earth Syst. Sci., 17, 2107–2120, https://doi.org/10.5194/hess-17-2107-2013, https://doi.org/10.5194/hess-17-2107-2013, 2013
Michele Salmi, Chiara Marsigli, and Manfred Dorninger
Adv. Sci. Res., 19, 29–38, https://doi.org/10.5194/asr-19-29-2022, https://doi.org/10.5194/asr-19-29-2022, 2022
Short summary
Short summary
High resolution, probabilistic weather prediction systems are increasingly able to model lightning activity with unprecedented accuracy. Is the probabilistic approach skillful when applied to localized, deep convection? This work shows that the ensemble prediction system maintained by the German Weather Service is able to provide a useful forecast of lightning activity at a scale of around 200 km and that the probabilistic approach can anticipate possible lack of accuracy in both time and space.
This article is included in the Encyclopedia of Geosciences
Marion Mittermaier, Rachel North, Jan Maksymczuk, Christine Pequignet, and David Ford
Ocean Sci., 17, 1527–1543, https://doi.org/10.5194/os-17-1527-2021, https://doi.org/10.5194/os-17-1527-2021, 2021
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Regions of enhanced chlorophyll-a concentrations can be identified by applying a threshold to the concentration value to a forecast and observed field (or analysis). These regions can then be treated and analysed as features using diagnostic techniques to consider of the evolution of the chlorophyll-a blooms in space and time. This allows us to understand whether the biogeochemistry in the model has any skill in predicting these blooms, their location, intensity, onset, duration and demise.
This article is included in the Encyclopedia of Geosciences
Manuela I. Brunner, Eric Gilleland, and Andrew W. Wood
Earth Syst. Dynam., 12, 621–634, https://doi.org/10.5194/esd-12-621-2021, https://doi.org/10.5194/esd-12-621-2021, 2021
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Compound hot and dry events can lead to severe impacts whose severity may depend on their timescale and spatial extent. Here, we show that the spatial extent and timescale of compound hot–dry events are strongly related, spatial compound event extents are largest at
sub-seasonal timescales, and short events are driven more by high temperatures, while longer events are more driven by low precipitation. Future climate impact studies should therefore be performed at different timescales.
This article is included in the Encyclopedia of Geosciences
Lesetja E. Lekoloane, Mary-Jane M. Bopape, Tshifhiwa Gift Rambuwani, Thando Ndarana, Stephanie Landman, Puseletso Mofokeng, Morne Gijben, and Ngwako Mohale
Weather Clim. Dynam., 2, 373–393, https://doi.org/10.5194/wcd-2-373-2021, https://doi.org/10.5194/wcd-2-373-2021, 2021
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We analysed a tornadic supercell that tracked through the northern Highveld region of South Africa for 7 h. We found that atmospheric conditions were conducive for tornado-associated severe storms over the region. A 4.4 km resolution model run by the South African Weather Service was able to predict this supercell, including its timing. However, it underestimated its severity due to underestimations of other important factors necessary for real-world development of these kinds of storms.
This article is included in the Encyclopedia of Geosciences
Eric Gilleland
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 13–34, https://doi.org/10.5194/ascmo-7-13-2021, https://doi.org/10.5194/ascmo-7-13-2021, 2021
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Verifying high-resolution weather forecasts has become increasingly complicated,
and simple, easy-to-understand summary measures are a good alternative. Recent work has demonstrated some common pitfalls with many such summaries. Here, new summary measures are introduced that do not suffer from these drawbacks, while still providing meaningful information.
This article is included in the Encyclopedia of Geosciences
Manuela I. Brunner and Eric Gilleland
Hydrol. Earth Syst. Sci., 24, 3967–3982, https://doi.org/10.5194/hess-24-3967-2020, https://doi.org/10.5194/hess-24-3967-2020, 2020
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Stochastically generated streamflow time series are used for various water management and hazard estimation applications. They provide realizations of plausible but yet unobserved streamflow time series with the same characteristics as the observed data. We propose a stochastic simulation approach in the frequency domain instead of the time domain. Our evaluation results suggest that the flexible, continuous simulation approach is valuable for a diverse range of water management applications.
This article is included in the Encyclopedia of Geosciences
Joshua North, Zofia Stanley, William Kleiber, Wiebke Deierling, Eric Gilleland, and Matthias Steiner
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 79–90, https://doi.org/10.5194/ascmo-6-79-2020, https://doi.org/10.5194/ascmo-6-79-2020, 2020
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Very short-term forecasting, called nowcasting, is used to monitor storms that pose a significant threat to people and infrastructure. These threats could include lightning strikes, hail, heavy precipitation, strong winds, and possible tornados. This paper proposes a fast approach to nowcasting lightning threats using simple statistical methods. The proposed model results in fast nowcasts that are more accurate than a competitive, computationally expensive, approach.
This article is included in the Encyclopedia of Geosciences
Ric Crocker, Jan Maksymczuk, Marion Mittermaier, Marina Tonani, and Christine Pequignet
Ocean Sci., 16, 831–845, https://doi.org/10.5194/os-16-831-2020, https://doi.org/10.5194/os-16-831-2020, 2020
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We assessed the potential benefit of a new verification metric, developed by the atmospheric community, to assess high-resolution ocean models against coarser-resolution configurations. Typical verification metrics often do not show any benefit when high-resolution models are compared to lower-resolution configurations. The new metric showed improvements in higher-resolution models away from the grid scale. The technique can be applied to both deterministic and ensemble forecasts.
This article is included in the Encyclopedia of Geosciences
Mike Bush, Tom Allen, Caroline Bain, Ian Boutle, John Edwards, Anke Finnenkoetter, Charmaine Franklin, Kirsty Hanley, Humphrey Lean, Adrian Lock, James Manners, Marion Mittermaier, Cyril Morcrette, Rachel North, Jon Petch, Chris Short, Simon Vosper, David Walters, Stuart Webster, Mark Weeks, Jonathan Wilkinson, Nigel Wood, and Mohamed Zerroukat
Geosci. Model Dev., 13, 1999–2029, https://doi.org/10.5194/gmd-13-1999-2020, https://doi.org/10.5194/gmd-13-1999-2020, 2020
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In this paper we define the first Regional Atmosphere and Land (RAL) science configuration for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator (JULES) for the land. RAL1 defines the science configuration of the dynamics and physics schemes of the atmosphere and land. This configuration will provide a model baseline for any future weather or climate model developments to be described against.
This article is included in the Encyclopedia of Geosciences
Angela Cheng, Barbara Casati, Adrienne Tivy, Tom Zagon, Jean-François Lemieux, and L. Bruno Tremblay
The Cryosphere, 14, 1289–1310, https://doi.org/10.5194/tc-14-1289-2020, https://doi.org/10.5194/tc-14-1289-2020, 2020
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Sea ice charts by the Canadian Ice Service (CIS) contain visually estimated ice concentration produced by analysts. The accuracy of manually derived ice concentrations is not well understood. The subsequent uncertainty of ice charts results in downstream uncertainties for ice charts users, such as models and climatology studies, and when used as a verification source for automated sea ice classifiers. This study quantifies the level of accuracy and inter-analyst agreement for ice charts by CIS.
This article is included in the Encyclopedia of Geosciences
Kathryn M. Emmerson, Jeremy D. Silver, Edward Newbigin, Edwin R. Lampugnani, Cenk Suphioglu, Alan Wain, and Elizabeth Ebert
Geosci. Model Dev., 12, 2195–2214, https://doi.org/10.5194/gmd-12-2195-2019, https://doi.org/10.5194/gmd-12-2195-2019, 2019
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We present the first representation of grass pollen in a 3-D dispersion model in Australia, tested using observations from eight counting sites in Victoria. The technology was developed in response to the severe thunderstorm asthma event which took place in Melbourne in November 2016. A total of 10 pollen emission methodologies were developed and evaluated. The best results were obtained using statistical methods that included elements of the satellite derived enhanced vegetation index.
This article is included in the Encyclopedia of Geosciences
Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Pier Paolo Alberoni, and Tiziana Paccagnella
Nonlin. Processes Geophys., 25, 747–764, https://doi.org/10.5194/npg-25-747-2018, https://doi.org/10.5194/npg-25-747-2018, 2018
Short summary
Short summary
Accuracy of numerical weather prediction forecasts is strongly related to the quality of initial conditions employed. To improve them, it seems advantageous to use radar reflectivity observations because of their high spatial and temporal resolution. This is tested in a high-resolution model whose domain covers Italy. Results show that the employment of reflectivity observations improves precipitation forecast accuracy, but the positive impact is lost after a few hours of forecast.
This article is included in the Encyclopedia of Geosciences
Lidia Bressan, Andrea Valentini, Tiziana Paccagnella, Andrea Montani, Chiara Marsigli, and Maria Stefania Tesini
Adv. Sci. Res., 14, 77–84, https://doi.org/10.5194/asr-14-77-2017, https://doi.org/10.5194/asr-14-77-2017, 2017
Short summary
Short summary
This study presents the sensitivity of an oceanic model of the Adriatic Sea to the horizontal resolution and to the meteorological forcing. The model is run with two different configurations and with two horizontal grids at 1 and 2 km resolution. To study the influence of the meteorological forcing, the two storms have been reproduced by running ROMS in ensemble mode. Possible optimizations of the model set-up are deduced by the comparison of the different run outputs.
This article is included in the Encyclopedia of Geosciences
David Walters, Ian Boutle, Malcolm Brooks, Thomas Melvin, Rachel Stratton, Simon Vosper, Helen Wells, Keith Williams, Nigel Wood, Thomas Allen, Andrew Bushell, Dan Copsey, Paul Earnshaw, John Edwards, Markus Gross, Steven Hardiman, Chris Harris, Julian Heming, Nicholas Klingaman, Richard Levine, James Manners, Gill Martin, Sean Milton, Marion Mittermaier, Cyril Morcrette, Thomas Riddick, Malcolm Roberts, Claudio Sanchez, Paul Selwood, Alison Stirling, Chris Smith, Dan Suri, Warren Tennant, Pier Luigi Vidale, Jonathan Wilkinson, Martin Willett, Steve Woolnough, and Prince Xavier
Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, https://doi.org/10.5194/gmd-10-1487-2017, 2017
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Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL) configurations of JULES are developed for use in any global atmospheric modelling application.
We describe a recent iteration of these configurations: GA6/GL6. This includes ENDGame: a new dynamical core designed to improve the model's accuracy, stability and scalability. GA6 is now operational in a variety of Met Office and UM collaborators applications and hence its documentation is important.
This article is included in the Encyclopedia of Geosciences
We describe a recent iteration of these configurations: GA6/GL6. This includes ENDGame: a new dynamical core designed to improve the model's accuracy, stability and scalability. GA6 is now operational in a variety of Met Office and UM collaborators applications and hence its documentation is important.
Eric Gilleland, Melissa Bukovsky, Christopher L. Williams, Seth McGinnis, Caspar M. Ammann, Barbara G. Brown, and Linda O. Mearns
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 137–153, https://doi.org/10.5194/ascmo-2-137-2016, https://doi.org/10.5194/ascmo-2-137-2016, 2016
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Several climate models are evaluated under current climate conditions to determine how well they are able to capture frequencies of severe-storm environments (conditions conducive for the formation of hail storms, tornadoes, etc.). They are found to underpredict the spatial extent of high-frequency areas (such as tornado alley), as well as underpredict the frequencies in the areas.
This article is included in the Encyclopedia of Geosciences
Marc Olefs, Dietmar J. Baumgartner, Friedrich Obleitner, Christoph Bichler, Ulrich Foelsche, Helga Pietsch, Harald E. Rieder, Philipp Weihs, Florian Geyer, Thomas Haiden, and Wolfgang Schöner
Atmos. Meas. Tech., 9, 1513–1531, https://doi.org/10.5194/amt-9-1513-2016, https://doi.org/10.5194/amt-9-1513-2016, 2016
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We present the Austrian RADiation monitoring network (ARAD) that has been established to advance national climate monitoring and to support satellite retrieval, atmospheric modeling and solar energy techniques' development. Measurements cover the downwelling solar and thermal infrared radiation using instruments according to Baseline Surface Radiation Network (BSRN) standards. The paper outlines the aims and scopes of ARAD, its measurement and calibration standards, methods and strategies.
This article is included in the Encyclopedia of Geosciences
S. Rémy, A. Benedetti, A. Bozzo, T. Haiden, L. Jones, M. Razinger, J. Flemming, R. J. Engelen, V. H. Peuch, and J. N. Thepaut
Atmos. Chem. Phys., 15, 12909–12933, https://doi.org/10.5194/acp-15-12909-2015, https://doi.org/10.5194/acp-15-12909-2015, 2015
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In this paper we report on the feedbacks between dust and boundary layer meteorology during a dust storm over Egypt and Libya in April 2012, using an atmospheric composition forecasting system. Dust was found to act on atmospheric stability, leading to an increase (night) or a decrease (day) in dust production. Horizontal gradients of temperature were modified by the radiative impact of the dust layer, leading to changes in wind patterns at the edge of the storm due to the thermal wind effect.
This article is included in the Encyclopedia of Geosciences
R. Ferretti, E. Pichelli, S. Gentile, I. Maiello, D. Cimini, S. Davolio, M. M. Miglietta, G. Panegrossi, L. Baldini, F. Pasi, F. S. Marzano, A. Zinzi, S. Mariani, M. Casaioli, G. Bartolini, N. Loglisci, A. Montani, C. Marsigli, A. Manzato, A. Pucillo, M. E. Ferrario, V. Colaiuda, and R. Rotunno
Hydrol. Earth Syst. Sci., 18, 1953–1977, https://doi.org/10.5194/hess-18-1953-2014, https://doi.org/10.5194/hess-18-1953-2014, 2014
C. Marsigli, A. Montani, and T. Paccagnella
Nonlin. Processes Geophys., 21, 393–403, https://doi.org/10.5194/npg-21-393-2014, https://doi.org/10.5194/npg-21-393-2014, 2014
S. Davolio, M. M. Miglietta, T. Diomede, C. Marsigli, and A. Montani
Hydrol. Earth Syst. Sci., 17, 2107–2120, https://doi.org/10.5194/hess-17-2107-2013, https://doi.org/10.5194/hess-17-2107-2013, 2013
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Tropical cyclone storm surge probabilities for the east coast of the United States: a cyclone-based perspective
Hydrometeorological analysis of the 12 and 13 September 2019 widespread flash flooding in eastern Spain
Monitoring the daily evolution and extent of snow drought
Characteristics of precipitation extremes over the Nordic region: added value of convection-permitting modeling
Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin
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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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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 (
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Ksenija Cindrić Kalin, 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, Silvana Stevkova, Lena M. Tallaksen, Iryna Trofimova, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-276, https://doi.org/10.5194/nhess-2021-276, 2021
Revised manuscript accepted for NHESS
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Recent drought events caused enormous damages 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 participant from 28 European countries provided insights to drought hazard and impact perception, and current management strategies. The study concludes with an urgent need to collectively combat drought risk via an European macro-level drought governance approach.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Chung-Chieh Wang, Pi-Yu Chuang, Shi-Ting Chen, Dong-In Lee, and Kazuhisa Tsuboki
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-196, https://doi.org/10.5194/nhess-2021-196, 2021
Revised manuscript accepted for NHESS
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In this study, cloud-resolving simulations are performed under idealized and uniform southwesterly flow direction/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. A low-Froude number regime where the thermodynamic effects and island circulation dominate, a high-Froude number regime where topographic rainfall in flow-over scenario prevails, and a mixed regime also exists.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Frederick W. Letson, Rebecca J. Barthelmie, Kevin I. Hodges, and Sara C. Pryor
Nat. Hazards Earth Syst. Sci., 21, 2001–2020, https://doi.org/10.5194/nhess-21-2001-2021, https://doi.org/10.5194/nhess-21-2001-2021, 2021
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Windstorms during the last 40 years in the US Northeast are identified and characterized using the spatial extent of extreme wind speeds at 100 m height from the ERA5 reanalysis. During all of the top 10 windstorms, wind speeds exceeding the local 99.9th percentile cover at least one-third of the land area in this high-population-density region. These 10 storms followed frequently observed cyclone tracks but have intensities 5–10 times the mean values for cyclones affecting this region.
This article is included in the Encyclopedia of Geosciences
Panagiotis T. Nastos, Nicolas R. Dalezios, Ioannis N. Faraslis, Kostas Mitrakopoulos, Anna Blanta, Marios Spiliotopoulos, Stavros Sakellariou, Pantelis Sidiropoulos, and Ana M. Tarquis
Nat. Hazards Earth Syst. Sci., 21, 1935–1954, https://doi.org/10.5194/nhess-21-1935-2021, https://doi.org/10.5194/nhess-21-1935-2021, 2021
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Risk assessment consists of three steps: identification, estimation and evaluation. Nevertheless, the risk management framework also includes a fourth step, the need for feedback on all the risk assessment undertakings. However, there is a lack of such feedback, which constitutes a serious deficiency in the reduction of environmental hazards at the present time. The objective of this review paper consists of addressing meteorological hazards and extremes within the risk management framework.
This article is included in the Encyclopedia of Geosciences
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Dustin Hill, Marcelo Saba, Hugh Hunt, Lukas Schwalt, Christian Vergeiner, Carlos T. Mata, Carina Schumann, and Tom Warner
Nat. Hazards Earth Syst. Sci., 21, 1909–1919, https://doi.org/10.5194/nhess-21-1909-2021, https://doi.org/10.5194/nhess-21-1909-2021, 2021
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Information about lightning properties is important in order to advance the current understanding of lightning, whereby the characteristics of ground strike points are in particular helpful to improving the risk estimation for lightning protection. High-speed video recordings of 1174 negative downward lightning flashes are taken in different regions around the world and analyzed in terms of flash multiplicity, duration, interstroke intervals and ground strike point properties.
This article is included in the Encyclopedia of Geosciences
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Leandro Z. S. Campos, Michihiro Matsui, Dustin Hill, Marcelo Saba, and Hugh Hunt
Nat. Hazards Earth Syst. Sci., 21, 1921–1933, https://doi.org/10.5194/nhess-21-1921-2021, https://doi.org/10.5194/nhess-21-1921-2021, 2021
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The lightning flash density is a key input parameter for assessing the risk of occurrence of a lightning strike. Flashes tend to have more than one ground termination point on average; therefore the use of ground strike point densities is more appropriate. The aim of this study is to assess the ability of three distinct ground strike point algorithms to correctly determine the observed ground-truth strike points.
This article is included in the Encyclopedia of Geosciences
Marc Lemus-Canovas and Joan Albert Lopez-Bustins
Nat. Hazards Earth Syst. Sci., 21, 1721–1738, https://doi.org/10.5194/nhess-21-1721-2021, https://doi.org/10.5194/nhess-21-1721-2021, 2021
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We present research that attempts to address recent and future changes in hot and dry compound events in the Pyrenees, which can induce severe environmental hazards in this area. The results show that during the last few decades, these kinds of compound events have only increased due to temperature increase. However, for the future, it is expected that the risk associated with these compound events will be raised by both the thermal increase and the longer duration of drought periods.
This article is included in the Encyclopedia of Geosciences
Monica Ionita and Viorica Nagavciuc
Nat. Hazards Earth Syst. Sci., 21, 1685–1701, https://doi.org/10.5194/nhess-21-1685-2021, https://doi.org/10.5194/nhess-21-1685-2021, 2021
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By analyzing the joint frequency of compound events (e.g., high temperatures and droughts), we show that the potential evapotranspiration and mean air temperature are becoming essential components for drought occurrence over Central Europe and the Mediterranean region. This, together with the projected increase in potential evapotranspiration under a warming climate, has significant implications concerning the future occurrence of drought events over these regions.
This article is included in the Encyclopedia of Geosciences
Feifei Shen, Aiqing Shu, Hong Li, Dongmei Xu, and Jinzhong Min
Nat. Hazards Earth Syst. Sci., 21, 1569–1582, https://doi.org/10.5194/nhess-21-1569-2021, https://doi.org/10.5194/nhess-21-1569-2021, 2021
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The Advanced Himawari Imager (AHI) on Himawari-8 can continuously monitor high-impact weather events with high frequency in space and time. The assimilation of AHI radiance data was implemented with the three-dimensional variational data assimilation system of the Weather Research and Forecasting Model for the analysis and prediction of Typhoon Soudelor (2015) in the Pacific typhoon season.
This article is included in the Encyclopedia of Geosciences
Uri Dayan, Itamar M. Lensky, Baruch Ziv, and Pavel Khain
Nat. Hazards Earth Syst. Sci., 21, 1583–1597, https://doi.org/10.5194/nhess-21-1583-2021, https://doi.org/10.5194/nhess-21-1583-2021, 2021
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An intense rainstorm hit the Middle East between 24 and 27 April 2018. The storm reached its peak over Israel on 26 April when a heavy flash flood took the lives of 10 people. The rainfall was comparable to the long-term annual rainfall in the southern Negev. The timing was the end of the rainy season when rain is rare and spotty. The study analyses the dynamic and thermodynamic conditions that made this rainstorm one of the latest spring severe events in the region during the last 3 decades.
This article is included in the Encyclopedia of Geosciences
Seyedabdolhossein Mehvar, Kathelijne Wijnberg, Bas Borsje, Norman Kerle, Jan Maarten Schraagen, Joanne Vinke-de Kruijf, Karst Geurs, Andreas Hartmann, Rick Hogeboom, and Suzanne Hulscher
Nat. Hazards Earth Syst. Sci., 21, 1383–1407, https://doi.org/10.5194/nhess-21-1383-2021, https://doi.org/10.5194/nhess-21-1383-2021, 2021
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This review synthesizes and complements existing knowledge in designing resilient vital infrastructure systems (VIS). Results from a systematic literature review indicate that (i) VIS are still being built without taking resilience explicitly into account and (ii) measures to enhance the resilience of VIS have not been widely applied in practice. The main pressing topic to address is the integration of the combined social, ecological, and technical resilience of these systems.
This article is included in the Encyclopedia of Geosciences
Rudolf Brázdil, Kateřina Chromá, Lukáš Dolák, Jan Řehoř, Ladislava Řezníčková, Pavel Zahradníček, and Petr Dobrovolný
Nat. Hazards Earth Syst. Sci., 21, 1355–1382, https://doi.org/10.5194/nhess-21-1355-2021, https://doi.org/10.5194/nhess-21-1355-2021, 2021
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We present an analysis of fatalities attributable to weather conditions in the Czech Republic during the 2000–2019 period based on our own database created from newspaper reports, on the database of the Czech Statistical Office, and on the database of the police of the Czech Republic as well as on their comparison. Despite some uncertainties, generally declining trends in the number of fatalities appear for the majority of weather variables. The structure of fatalities is described in detail.
This article is included in the Encyclopedia of Geosciences
Zheng Liang, Xiaoling Su, and Kai Feng
Nat. Hazards Earth Syst. Sci., 21, 1323–1335, https://doi.org/10.5194/nhess-21-1323-2021, https://doi.org/10.5194/nhess-21-1323-2021, 2021
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In view of the shortage of data in alpine mountainous areas and the difficulty of a single drought index to reflect all the characteristics of drought, this paper constructs a comprehensive drought index (MAHDI) based on the SWAT model and the empirical Kendall distribution function, which connects multiple drought elements. The results show that MAHDI can simultaneously characterize meteorological, agricultural and hydrological drought and has strong applicability and comprehensiveness.
This article is included in the Encyclopedia of Geosciences
Hamish Steptoe and Theodoros Economou
Nat. Hazards Earth Syst. Sci., 21, 1313–1322, https://doi.org/10.5194/nhess-21-1313-2021, https://doi.org/10.5194/nhess-21-1313-2021, 2021
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We use high-resolution computer simulations of tropical cyclones to investigate extreme wind speeds over Bangladesh. We show that some northern provinces, up to 200 km inland, may experience conditions equal to or exceeding a very severe cyclonic storm event with a likelihood equal to coastal regions less than 50 km inland. We hope that these kilometre-scale hazard maps facilitate one part of the risk assessment chain to improve local ability to make effective risk management decisions.
This article is included in the Encyclopedia of Geosciences
Judith Marie Pöschmann, Dongkyun Kim, Rico Kronenberg, and Christian Bernhofer
Nat. Hazards Earth Syst. Sci., 21, 1195–1207, https://doi.org/10.5194/nhess-21-1195-2021, https://doi.org/10.5194/nhess-21-1195-2021, 2021
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We examined maximum rainfall values for different durations from 16 years of radar-based rainfall records for whole Germany. Unlike existing observations based on rain gauge data no clear linear relationship could be identified. However, by classifying all time series, we could identify three similar groups determined by the temporal structure of rainfall extremes observed in the study period. The study highlights the importance of using long data records and a dense measurement network.
This article is included in the Encyclopedia of Geosciences
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
This article is included in the Encyclopedia of Geosciences
Cheikh Modou Noreyni Fall, Christophe Lavaysse, Mamadou Simina Drame, Geremy Panthou, and Amadou Thierno Gaye
Nat. Hazards Earth Syst. Sci., 21, 1051–1069, https://doi.org/10.5194/nhess-21-1051-2021, https://doi.org/10.5194/nhess-21-1051-2021, 2021
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Extreme wet and dry rainfall periods over Senegal provided by satellite, reanalyses, and ground observations are compared. Despite a spatial coherence of seasonal rainfall accumulation between all products, discrepancies are found at intra-seasonal timescales. All datasets highlight comparable seasonal cycles of dry and wet spells. Nevertheless, CHIRPS and TAMSAT are close to observations for the dry spells, whereas TRMM obtains the closest values of wet spells as regards the observations.
This article is included in the Encyclopedia of Geosciences
Claudia Canedo-Rosso, Stefan Hochrainer-Stigler, Georg Pflug, Bruno Condori, and Ronny Berndtsson
Nat. Hazards Earth Syst. Sci., 21, 995–1010, https://doi.org/10.5194/nhess-21-995-2021, https://doi.org/10.5194/nhess-21-995-2021, 2021
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Drought is a major natural hazard that causes large losses for farmers. This study evaluated drought severity based on a drought classification scheme using NDVI and LST, which was related to the ENSO anomalies. In addition, the spatial distribution of NDVI was associated with precipitation and air temperature at the local level. Our findings show that drought severity increases during El Niño years, and as a consequence the socio-economic drought risk of farmers will likely increase.
This article is included in the Encyclopedia of Geosciences
William C. Arthur
Nat. Hazards Earth Syst. Sci., 21, 893–916, https://doi.org/10.5194/nhess-21-893-2021, https://doi.org/10.5194/nhess-21-893-2021, 2021
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We have developed a statistical–parametric model of tropical cyclones (TCs), to undertake hazard and risk assessments at continental scales. The model enables users to build an understanding of the likelihood and magnitude of TC-related wind speeds across full ocean basins but at a fine spatial resolution. The model can also be applied to single events, either scenarios or forecast events, to inform detailed impact assessments.
This article is included in the Encyclopedia of Geosciences
Flavio Lopes Ribeiro, Mario Guevara, Alma Vázquez-Lule, Ana Paula Cunha, Marcelo Zeri, and Rodrigo Vargas
Nat. Hazards Earth Syst. Sci., 21, 879–892, https://doi.org/10.5194/nhess-21-879-2021, https://doi.org/10.5194/nhess-21-879-2021, 2021
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The main objective of this paper was to analyze differences in soil moisture responses to drought for each biome of Brazil. For that we used satellite data from the European Space Agency from 2009 to 2015. We found an overall soil moisture decline of −0.5 % yr−1 at the country level and identified the most vulnerable biomes of Brazil. This information is crucial to enhance the national drought early warning system and develop strategies for drought risk reduction and soil moisture conservation.
This article is included in the Encyclopedia of Geosciences
Kees Nederhoff, Jasper Hoek, Tim Leijnse, Maarten van Ormondt, Sofia Caires, and Alessio Giardino
Nat. Hazards Earth Syst. Sci., 21, 861–878, https://doi.org/10.5194/nhess-21-861-2021, https://doi.org/10.5194/nhess-21-861-2021, 2021
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The design of coastal protection affected by tropical cyclones is often based solely on the analysis of historical tropical cyclones (TCs). The simulation of numerous synthetic TC tracks based on historical data can overcome this limitation. In this paper, a new method for the generation of synthetic TC tracks is proposed, called the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE). TCWiSE can simulate thousands of tracks and wind fields in any oceanic basin based on any data source.
This article is included in the Encyclopedia of Geosciences
Elody Fluck, Michael Kunz, Peter Geissbuehler, and Stefan P. Ritz
Nat. Hazards Earth Syst. Sci., 21, 683–701, https://doi.org/10.5194/nhess-21-683-2021, https://doi.org/10.5194/nhess-21-683-2021, 2021
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Severe convective storms (SCSs) and the related hail events constitute major atmospheric hazards in parts of Europe. In our study, we identified the regions of France, Germany, Belgium and Luxembourg that were most affected by hail over a 10 year period (2005 to 2014). A cell-tracking algorithm was computed on remote-sensing data to enable the reconstruction of several thousand SCS tracks. The location of hail hotspots will help us understand hail formation and improve hail forecasting.
This article is included in the Encyclopedia of Geosciences
Kelvin S. Ng and Gregor C. Leckebusch
Nat. Hazards Earth Syst. Sci., 21, 663–682, https://doi.org/10.5194/nhess-21-663-2021, https://doi.org/10.5194/nhess-21-663-2021, 2021
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Due to the rarity of high-impact tropical cyclones (TCs), it is difficult to achieve a robust TC hazard assessment based on historical observations only. Here we present an approach to construct a TC event set that contains more than 10 000 years of TC events by using a computationally simple and efficient method. This event set has similar characteristics as the historical observations but includes a better representation of intense TCs. Thus, a robust TC hazard assessment can be achieved.
This article is included in the Encyclopedia of Geosciences
Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 21, 463–480, https://doi.org/10.5194/nhess-21-463-2021, https://doi.org/10.5194/nhess-21-463-2021, 2021
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The assimilation impact of four observation data sets on forecasts is studied in a mesoscale weather model. The ground-based Global Navigation Satellite System (GNSS) zenithal total delay data set with information on humidity has the largest impact on analyses and forecasts, representing an evenly spread and frequent data set for each analysis time over the model domain. Moreover, the reprocessing of these data also improves the forecast quality, but this impact is not statistically significant.
This article is included in the Encyclopedia of Geosciences
Joan Gilabert, Anna Deluca, Dirk Lauwaet, Joan Ballester, Jordi Corbera, and Maria Carmen Llasat
Nat. Hazards Earth Syst. Sci., 21, 375–391, https://doi.org/10.5194/nhess-21-375-2021, https://doi.org/10.5194/nhess-21-375-2021, 2021
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Trends of extreme temperature episodes in cities are increasing due to regional climate change in interaction with urban effects. Urban morphologies and thermal properties of the materials used to build them are factors that influence climate variability and are one of the main reasons for the climatic singularity of cities. This paper presents a methodology to evaluate the urban and peri-urban effect on extreme-temperature exposure using land cover and land use maps.
This article is included in the Encyclopedia of Geosciences
David MacLeod, Mary Kilavi, Emmah Mwangi, Maurine Ambani, Michael Osunga, Joanne Robbins, Richard Graham, Pedram Rowhani, and Martin C. Todd
Nat. Hazards Earth Syst. Sci., 21, 261–277, https://doi.org/10.5194/nhess-21-261-2021, https://doi.org/10.5194/nhess-21-261-2021, 2021
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Forecasts of natural hazards save lives. But the accuracy of forecasts must be evaluated before use. Here we evaluate heavy rainfall advisories over Kenya. We assess their ability to anticipate heavy rainfall and show how well they warned of recent floods which had significant impacts. We find that although they effectively warn of heavy rainfall and flooding, issues such as a lack of spatial detail limit their utility for systematic approaches to preparedness.
This article is included in the Encyclopedia of Geosciences
Cited articles
Anderson, G. and Klugmann, D.: A European lightning density analysis using 5 years of ATDnet data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014.
Barras, H., Hering, A., Martynov, A., Noti, P.-A., Germann, U., and Martius,
O.: Experiences with >50 000 crowdsourced hail reports in
Switzerland, B. Am. Meteorol. Soc., 100, 1429–1440, https://doi.org/10.1175/BAMS-D-18-0090.1, 2019.
Bazlova, T., Bocharnikov, N., and Solonin, A.: Aviation operational
nowcasting systems, 3rd European Nowcasting Conference, Madrid, 24–26 April
2019, available at: https://enc2019.aemet.es/ (last access: 21 April 2021), 2019.
Ben Bouallegue, Z., Haiden, T., Weber, N. J., Hamill, T. M., and Richardson,
D. S.: Accounting for Representativeness in the Verification of Ensemble
Precipitation Forecasts, Mon. Weather Rev., 148, 2049–2062,
https://doi.org/10.1175/MWR-D-19-0323.1, 2020.
Betz, H. D., Schmidt, K., Laroche, P., Blanchet, P., Oettinger, W. P.,
Defer, E., Dziewit, Z., and Konarski, J.: LINET – An international
lightning detection network in Europe, Atmos. Res., 91, 564–573,
https://doi.org/10.1016/j.atmosres.2008.06.012, 2009.
Blakeslee, R. and Koshak, W.: LIS on ISS: Expanded Global Coverage and
Enhanced Applications, The Earth Observer, 28, 4–14, 2016.
Bosart, L. F. and Landin, M. G.: An assessment of thunderstorm probability
forecasting skill, Weather Forecast., 9, 522–531, https://doi.org/10.1175/1520-0434(1994)009<0522:AAOTPF>2.0.CO;2, 1994.
Boutle, I. A., Finnenkoetter, A., Lock, A. P., and Wells, H.: The London
Model: forecasting fog at 333 m resolution, Q. J. Roy. Meteor. Soc., 142, 360–371, https://doi.org/10.1002/qj.2656, 2016.
Brown, K. and Buchanan, P.: An objective verification system for
thunderstorm risk forecasts, Meteorol. Appl., 26, 140–152,
https://doi.org/10.1002/met.1748, 2018.
Brunet, D., Sills, D., and Driedger, N.: On the evaluation of probabilistic
thunderstorm forecasts and the automated generation of thunderstorm threat
areas during Environment Canada Pan Am Science Showcase, Weather Forecast.,
34, 1295–1319, https://doi.org/10.1175/WAF-D-19-0011.1, 2019.
Bullock, R. G., Brown, B. G., and Fowler, T. L.: Method for Object-Based
Diagnostic Evaluation, NCAR Technical Note NCAR/TN-532+STR, 84 pp., https://doi.org/10.5065/D61V5CBS, 2016.
Capitanio, M.: Occurrence and forecast of low stratus clouds over
Switzerland, Master's thesis, Eidgenössische Technische Hochschule,
Zürich, 2013.
Caumont, O.: Towards quantitative lightning forecasts with convective-scale
Numerical Weather Prediction systems, Aeronautical Meteorology scientific
conference, 6–10 November 2017, Meteo-France, Toulouse, France, 2017.
Cermak, J. and Bendix, J.: A novel approach to fog/low stratus detection
using Meteosat 8 data, Atmos. Res., 87, 279–292, https://doi.org/10.1016/j.atmosres.2007.11.009, 2008.
Corbosiero, K. L. and Galarneau, T. J.: Verification of a daily thunderstorm
probability forecast contest using the National Lightning Detection Network,
23rd Conference on Weather Analysis and Forecasting, 1–5 June, Omaha,
Nebraska, 2009.
Corbosiero, K. L. and Lazear, R. A.: Verification of thunderstorm occurrence
using the National Lightning Detection Network, Sixth Conference on the
Meteorological Applications of Lightning Data, 6–10 January, Austin, Texas,
available at: http://www.atmos.albany.edu/facstaff/kristen/tsclimo/tsclimo.html (last access: 21 April 2021), 2013.
Cummins, K. L. and Murphy, M. J.: An overview of lightning locating systems:
history, techniques, and data uses, with an in-depth look at the U.S. NLDN,
IEEE Transaction on Electromagnetic Compatibility, 51, 499–518, https://doi.org/10.1109/TEMC.2009.2023450, 2009.
Davis, C. A., Brown, B. G., and Bullock, R. G.: Object-based verification of
precipitation forecasts. Part I: Methodology and application to mesoscale
rain areas, Mon. Weather Rev., 134, 1772–1784, https://doi.org/10.1175/MWR3145.1, 2006.
De Coning, E., Gijben, M., Maseko, B., and Van Hemert, L.: Using satellite
data to identify and track intense thunderstorms in south and southern
Africa, S. Afr. J. Sci., 111, 1–9, 2015.
de Rosa, M., Picchiani, M., Sist, M., and Del Frate, F.: A novel
multispectral algorithm for the detection, tracking and nowcasting of the
thunderstorms using the Meteosat Second Generation images, 2nd European
Nowcasting Conference, Offenbach, 3–5 May 2017,
available at: http://eumetnet.eu/enc-2017/ (last access: 21 April 2021), 2017.
Derrien, M. and Le Gléau, H.: MSG/SEVIRI cloud mask and type from
SAFNWC, Int. J. Remote S., 26, 4707–4732, https://doi.org/10.1080/01431160500166128, 2005.
Dorninger, M., Ghelli, A., and Lerch, S.: Editorial: Recent developments and
application examples on forecast verification, Met. Apps., 27, 1–3, https://doi.org/10.1002/met.1934, 2020.
Dotzek, N., Groenemeijer, P., Feuerstein, B., and Holzer, A. M.: Overview of
ESSL's severe convective storm research using the European
Severe Weather Database ESWD, Atmos. Res., 93, 575–586, https://doi.org/10.1016/j.atmosres.2008.10.020, 2009.
Ebert, E. E.: Fuzzy verification of high-resolution gridded forecasts: a
review and proposed framework, Met. Apps., 15, 51–64, https://doi.org/10.1002/met.25, 2008.
Ehrler, A.: A methodology for evaluating fog and low stratus with satellite
data, Master Thesis, ETH Zürich, Department of Earth
Sciences, Zürich, 2018.
Flora, M. L., Skinner, P. S., Potvin, C. K., Reinhart, A. E., Jones, T. A.,
Yussouf, N., and Knopfmeier, K. H.: Object-Based Verification of Short-Term,
Storm-Scale Probabilistic Mesocyclone Guidance from an Experimental
Warn-on-Forecast System, Weather Forecast., 34, 1721–1739, https://doi.org/10.1175/WAF-D-19-0094.1, 2019.
Gaia, M., Della Bruna, G., Hering, A., Nerini, D., and Ortelli, V.: Hybrid
human expert and machine-based thunderstorm warnings: a novel operation
nowcasting system for severe weather at MeteoSwiss, 2nd European Nowcasting
Conference, Offenbach, 3–5 May 2017, available at: http://eumetnet.eu/enc-2017/ (last access: 21 April 2021), 2017.
Ghude, S. D., Bhat, G.
S., Prabhakaran, T., Jenamani, R. K., Chate, D. M., Safai, P. D., Karipot, A. K., Konwar, M.,
Pithani, P., Sinha, V., Rao, P. S. P., Dixit, S. A., Tiwari, S., Todekar, K., Varpe, S., Srivastava, A. K., Bisht, D. S., Murugavel, P., Ali, K., Mina, U., Dharua, M., Rao, J. Y., Padmakumari, B., Hazra, A., Nigam, N., Shende, U., Lal, D. M., Chandra, B. P., Mishra, A. K., Kumar, A., Hakkim, H., Pawar, H., Acharja, P., Kulkarni, R., Subharthi, C., Balaji, B., Varghese, M., Bera, S., and Rajeevan, M.: Winter fog experiment over the Indo-Gangetic plains of India,
Curr. Sci. India, 112, 767–784, https://doi.org/10.18520/cs/v112/i04/767-784, 2017.
Gijben, M.: The Lightning Climatology of South Africa, S. Afr. J. Sci., 108, 740, 2012.
Gijben, M. and De Coning, E.: Using Satellite and Lightning Data to Track
Rapidly Developing Thunderstorms in Data Sparse Regions, Atmosphere, 8,
67, https://doi.org/10.3390/atmos8040067, 2017.
Goessling, H. F. and Jung, T.: A probabilistic verification score for
contours: Methodology and application to Artic ice-edge forecasts, Q. J. Roy.
Meteor. Soc., 144, 735–743, https://doi.org/10.1002/qj.3242, 2018.
Gultepe, I.: Fog and Boundary Layer Clouds: Introduction, in: Fog and Boundary Layer Clouds: Fog Visibility and Forecasting, edited by: Gultepe, I., Pageoph Topical Volumes, Birkhäuser, Basel, https://doi.org/10.1007/978-3-7643-8419-7_1, 2007.
Hacker, M. and Bott, A.: Modeling the spatial and temporal variability of
fog in the Namib Desert with COSMO-PAFOG, ICCARUS 2018, 26–28 February, DWD,
Offenbach, Germany, 2018.
Harrison, S., Potter, S., Prasanna, R., Doyle, E. E. H., and Johnston, D.:
Volunteered Geographic Information for people-centred severe weather early
warning: A literature review, The Australasian Journal of Disaster and
Trauma Studies, 24, 3–21, 2020.
Hitchens, N. M., Brooks, H. E., and Kay, M. P.: Objective Limits on Forecasting Skill of Rare Events, Weather Forecast., 28, 525–534, https://doi.org/10.1175/WAF-D-12-00113.1, 2013.
Holzer, A. M. and Groenemeijer, P.: Report on the testing of EUMETSAT
NWC-SAF products at the ESSL Testbed 2017, available at:
https://www.essl.org/media/Testbed2017/20170929ESSLTestbedReportforNWCSAFfinal.pdf (last access: 21 April 2021),
2017.
Jolliffe, I. T. and Stephenson, D. B.: Forecast Verification: A
Practitioner's Guide in Atmospheric Science, Second Edition, John Wiley & Sons, Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK, https://doi.org/10.1002/9781119960003, 2012.
Keller, M., Fuhrer, O., Schmidli, J., Stengel, M., Stöckli, R., and
Schär, C.: Evaluation of convection-resolving models using satellite
data: The diurnal cycle of summer convection over the Alps, Meteorol. Z., 25, 165–179, https://doi.org/10.1127/metz/2015/0715, 2015.
Magnusson, L.: Collection of Severe Weather Event articles from ECMWF
Newsletters 2014–2019, ECMWF, Reading, UK,
available at: https://www.ecmwf.int/sites/default/files/medialibrary/2019-04/ecmwf-nl-severe-events.pdf (last access: 21 April 2021),
2019.
Mahringer, G.: Terminal aerodrome forecast verification in Austro Control
using time windows and ranges of forecast conditions, Meteorol. Appl., 15,
113–123, https://doi.org/10.1002/met.62, 2008.
Mäkelä, A., Tuomi, T. J., and Haapalainen, J.: A decade of high‐latitude lightning location: Effects of the evolving location network in Finland, J. Geophys. Res., 115, D21124, https://doi.org/10.1029/2009JD012183, 2010.
Marsigli, C., Alferov, D., Astakhova, E., Duniec, G., Gayfulin, D., Gebhardt, C., Interewicz, W., Loglisci, N., Marcucci, F., Mazur, A., Montani, A., Tsyrulnikov, M., and Walser, A.: Studying perturbations for the representation of
modeling uncertainties in Ensemble development (SPRED Priority Project):
Final Report, COSMO Technical Report No. 39, https://doi.org/10.5676/DWDpub/nwv/cosmo-tr39, 2019.
Müller, M. D., Masbou, M., and Bott, A.: Three-dimensional fog
forecasting in complex terrain, Q. J. Roy.
Meteor. Soc., 136, 2189–2202, https://doi.org/10.1002/qj.705, 2010.
Müller, R., Haussler, S., Jerg, M., Asmus, J., Hungershöfer, K., and
Leppelt, T.: SATICUS - Satellite based detection of thunderstorms
(Cumulonimbus Cb), 2nd European Nowcasting Conference, Offenbach, 3–5 May 2017, available at: http://eumetnet.eu/enc-2017/ (last access: 21 April 2021), 2017.
Pardowitz, T.: A statistical model to estimate the local vulnerability to severe weather, Nat. Hazards Earth Syst. Sci., 18, 1617–1631, https://doi.org/10.5194/nhess-18-1617-2018, 2018.
Pardowitz, T. and Göber, M.: Forecasting weather related fire brigade
operations on the basis of nowcasting data, in: LNIS Vol. 8, RIMMA Risk
Information Management, Risk Models and Applications, CODATA Germany,
Berlin, edited by: Kremers, H. and Susini, A., ISBN 978-3-00-056177-1,
2017.
Rempel, M., Senf, F., and Deneke, H.: Object-based metrics for forecast
verification of convective development with geostationary satellite data,
Mon. Weather Rev., 145, 3161–3178, https://doi.org/10.1175/MWR-D-16-0480.1, 2017.
Riede, H., Acevedo-Valencia, J. W., Bouras, A., Paschalidi, Z., Hellweg, M.,
Helmert, K., Hagedorn, R., Potthast, R., Kratzsch, T., and Nachtigal, J.:
Passenger car data as a new source of real-time weather information for
nowcasting, forecasting and road safe, ENC2019, Third European Nowcasting
Conference, Book of Abstracts, 24–26 April 2019, AEMET, Madrid, Spain, 2019.
Roberts, N. M. and Lean, H. W.: Scale-selective verification of rainfall
accumulations from high-resolution forecasts of convective events, Mon.
Weather Rev., 136, 78–97, https://doi.org/10.1175/2007MWR2123.1, 2007.
Roberts, R. D., Anderson, A. S., Nelson, E., Brown, B. G., Wilson, J. W.,
Pocernich, M., and Saxen, T.: Impacts of forecaster involvement on
convective storm initiation and evolution Nowcasting, Weather
Forecast., 27, 1061–1089, https://doi.org/10.1175/WAF-D-11-00087.1, 2012.
Rossi, P. J., Hasu, V., Halmevaara, K., Mäkelä, A., Koistinen, J.,
and Pohjola, H.: Real-time hazard approximation of long-lasting convective
storms using emergency data, J. Atmos. Ocean. Tech., 30,
538–555, https://doi.org/10.1175/JTECH-D-11-00106.1, 2013.
Roux, B.: ACCESS sensitivity experiments for fog cases at Perth Airport,
Bureau Research Report 033, ISBN 978-1-925738-04-9, 2017.
Schmid, F., Bañon, L., Agersten, S., Atencia, A., de Coning, E., Kann,
A., Wang, Y., and Wapler, K.: Conference Report: Third European Nowcasting
Conference, Meteorol. Z., 28, 447–450, https://doi.org/10.1127/metz/2019/0983, 2019.
Schuster, S. S., Blong, R. J., Leigh, R. J., and McAneney, K. J.: Characteristics of the 14 April 1999 Sydney hailstorm based on ground observations, weather radar, insurance data and emergency calls, Nat. Hazards Earth Syst. Sci., 5, 613–620, https://doi.org/10.5194/nhess-5-613-2005, 2005.
Steeneveld, G. J., Ronda, R. J., and Holtslag, A. A. M.: The challenge of
forecasting the onset and development of radiation fog using mesoscale
atmospheric models, Bound.-Lay. Meteorol., 154, 265–289, https://doi.org/10.1007/s10546-014-9973-8, 2015.
Tsonevsky, I., Doswell, C. A., and Brooks, H. E.: Early warnings of severe
convection using the ECMWF extreme forecast index, Weather Forecast., 33,
857–871, https://doi.org/10.1175/WAF-D-18-0030.1, 2018.
Valachova, M. and Sykorova, P.: Convective Storm Nowcasting by remote
sensing data combination, Book of Abstract, 2nd European Nowcasting
Conference, 3–5 May 2017, Headquarters of DWD, Offenbach, Germany, 2017.
Wapler, K., Goeber, M., and Trepte, S.: Comparative verification of different nowcasting systems to support optimisation of thunderstorm warnings, Adv. Sci. Res., 8, 121–127, https://doi.org/10.5194/asr-8-121-2012, 2012.
Wapler, K., Harnisch, F., Pardowitz, T., and Senf, F.: Characterisation and
predictability of a strong and a weak severe convective event – a
multi-data approach, Meteorol. Z., 24, 393–410, https://doi.org/10.1127/metz/2015/0625,
2015.
Wapler, K., Banon Peregrin, L. M., Buzzi, M., Heizenreder, D., Kann, A.,
Meirold-Mautner, I., Simon, A., and Wang, Y.: Conference Report 2nd European
Nowcasting Conference, Meteorol. Z., 27, 81–84, https://doi.org/10.1127/metz/2017/0870,
2018.
Wapler, K., de Coning, E., and Buzzi, M.: Nowcasting, Reference Module in
Earth Systems and Environmental Sciences, Elsevier, Amsterdam, https://doi.org/10.1016/B978-0-12-409548-9.11777-4, 2019.
Wernli, H., Paulat, M., Hagen, M., and Frei, C.: SAL – A novel quality
measure for the verification of quantitative precipitation forecasts, Mon.
Weather Rev., 136, 4470–4487, https://doi.org/10.1175/2008MWR2415.1, 2008.
Westerhuis, S., Eugster, W., Fuhrer, O., and Bott A.: Towards an improved
representation of radiation fog in the Swiss numerical weather prediction
models, ICCARUS 2018, 26–28 February, DWD, Offenbach, Germany, 2018.
Williams, H.: Social sensing of natural hazards, 41st EWGLAM and
26th SRNWP Meeting, Sofia, Bulgaria, available at: http://srnwp.met.hu/ (last access: 21 April 2021), 2019.
Wilson, C. and Mittermaier, M.: Observation needed for verification of
additional forecast products, Twelfth Workshop on Meteorological Operational
Systems, 2–6 November 2009, Conference Paper, ECMWF, Reading, UK, 2009.
Wiwatwattana, N., Sangkhatad, K., and Srivatanakul, T.: An analysis and case
study of using mobile crowdsourcing for weather forecast verification, 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS),
Beijing, 251–254, https://doi.org/10.1109/ICSESS.2015.7339048, 2015.
WMO-No.1198: Guidelines for Nowcasting Techniques, 2017 Edition,
World Meteorological Organization, Geneva, Switzerland, ISBN 978-92-63-11198-2,
2017.
WMO-No.8: Guide to Instruments and Methods of Observation, 2018 Edition,
World Meteorological Organization, Geneva, Switzerland, ISBN
978-92-63-10008-5, 2018.
Zhang, Q., Li, L., Ebert, B., Golding, B., Johnston, D., Mills, B., Panchuk,
S., Potter, S., Riemer, M., Sun, J., and Taylor, A.: Increasing the value of
weather-related warnings, Sci. Bull., 64, 647–649, https://doi.org/10.1016/j.scib.2019.04.003, 2019.
Zhou, B. and Du, J.: Fog prediction from a multimodel mesoscale ensemble
prediction system, Weather Forecast., 25, 303–322, https://doi.org/10.1175/2009WAF2222289.1, 2010.
Short summary
This paper reviews new observations for the verification of high-impact weather and provides advice for their usage in objective verification. New observations include remote sensing datasets, products developed for nowcasting, datasets derived from telecommunication systems, data collected from citizens, reports of impacts and reports from insurance companies. This work has been performed in the framework of the Joint Working Group on Forecast Verification Research (JWGFVR) of the WMO.
This paper reviews new observations for the verification of high-impact weather and provides...
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