Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1369-2020
© Author(s) 2020. 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-20-1369-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 May 2020
Research article |
| 20 May 2020
| 20 May 2020
Systematic error analysis of heavy-precipitation-event prediction using a 30-year hindcast dataset
Matteo Ponzano
CORRESPONDING AUTHOR
CNRM, Météo-France, Toulouse, France
Bruno Joly
CNRM, Météo-France, Toulouse, France
Laurent Descamps
CNRM, Météo-France, Toulouse, France
Philippe Arbogast
CNRM, Météo-France, Toulouse, France
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Benjamin Doiteau, Florian Pantillon, Matthieu Plu, Laurent Descamps, and Thomas Rieutord
Weather Clim. Dynam., 5, 1409–1427, https://doi.org/10.5194/wcd-5-1409-2024, https://doi.org/10.5194/wcd-5-1409-2024, 2024
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The predictability of Mediterranean cyclones is investigated through a large dataset of 1960 cyclones tracks, ensuring robust statistical results. The motion speed of the cyclone appears to determine the predictability of its location. In particular, the location of specific slow cyclones concentrated in the Gulf of Genoa is remarkably well predicted. It is also shown that the intensity of deep cyclones, occurring in winter, is particularly poorly predicted in the Mediterranean region.
Youness El-Ouartassy, Irène Korsakissok, Matthieu Plu, Olivier Connan, Laurent Descamps, and Laure Raynaud
Atmos. Chem. Phys., 22, 15793–15816, https://doi.org/10.5194/acp-22-15793-2022, https://doi.org/10.5194/acp-22-15793-2022, 2022
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This work investigates the potential value of using fine-scale meteorological ensembles to represent the inherent meteorological uncertainties in atmospheric dispersion model outputs. Probabilistic scores were used to evaluate the probabilistic performance of dispersion ensembles, using an original dataset of new continuous 85Kr air concentration measurements and a well-known source term. The results show that the ensemble dispersion simulations perform better than deterministic ones.
Meryl Wimmer, Gwendal Rivière, Philippe Arbogast, Jean-Marcel Piriou, Julien Delanoë, Carole Labadie, Quitterie Cazenave, and Jacques Pelon
Weather Clim. Dynam., 3, 863–882, https://doi.org/10.5194/wcd-3-863-2022, https://doi.org/10.5194/wcd-3-863-2022, 2022
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The effect of deep convection representation on the jet stream above the cold front of an extratropical cyclone is investigated in the global numerical weather prediction model ARPEGE. Two simulations using different deep convection schemes are compared with (re)analysis datasets and NAWDEX airborne observations. A deeper jet stream is observed with the less active scheme. The diabatic origin of this difference is interpreted by backward Lagrangian trajectories and potential vorticity budgets.
Gwendal Rivière, Meryl Wimmer, Philippe Arbogast, Jean-Marcel Piriou, Julien Delanoë, Carole Labadie, Quitterie Cazenave, and Jacques Pelon
Weather Clim. Dynam., 2, 1011–1031, https://doi.org/10.5194/wcd-2-1011-2021, https://doi.org/10.5194/wcd-2-1011-2021, 2021
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Inacurracies in representing processes occurring at spatial scales smaller than the grid scales of the weather forecast models are important sources of forecast errors. This is the case of deep convection representation in models with 10 km grid spacing. We performed simulations of a real extratropical cyclone using a model with different representations of deep convection. These forecasts lead to different behaviors in the ascending air masses of the cyclone and the jet stream aloft.
Olivier Pannekoucke and Philippe Arbogast
Geosci. Model Dev., 14, 5957–5976, https://doi.org/10.5194/gmd-14-5957-2021, https://doi.org/10.5194/gmd-14-5957-2021, 2021
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This contributes to research on uncertainty prediction, which is important either for determining the weather today or estimating the risk in prediction. The problem is that uncertainty prediction is numerically very expensive. An alternative has been proposed wherein uncertainty is presented in a simplified form with only the dynamics of certain parameters required. This tool allows for the determination of the symbolic equations of these parameter dynamics and their numerical computation.
Jari-Pekka Nousu, Matthieu Lafaysse, Matthieu Vernay, Joseph Bellier, Guillaume Evin, and Bruno Joly
Nonlin. Processes Geophys., 26, 339–357, https://doi.org/10.5194/npg-26-339-2019, https://doi.org/10.5194/npg-26-339-2019, 2019
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Forecasting the height of new snow is crucial for avalanche hazard, road viability, ski resorts and tourism. The numerical models suffer from systematic and significant errors which are misleading for the final users. Here, we applied for the first time a state-of-the-art statistical method to correct ensemble numerical forecasts of the height of new snow from their statistical link with measurements in French Alps and Pyrenees. Thus the realism of automatic forecasts can be quickly improved.
Lucie Rottner, Philippe Arbogast, Mayeul Destouches, Yamina Hamidi, and Laure Raynaud
Adv. Sci. Res., 16, 209–213, https://doi.org/10.5194/asr-16-209-2019, https://doi.org/10.5194/asr-16-209-2019, 2019
Isabelle Dahman, Philippe Arbogast, Nicolas Jeannin, and Bouchra Benammar
Nat. Hazards Earth Syst. Sci., 18, 3327–3341, https://doi.org/10.5194/nhess-18-3327-2018, https://doi.org/10.5194/nhess-18-3327-2018, 2018
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This paper proposes an innovative method for optimizing the transmissions of high throughput satellites based on weather forecasts. Such transmissions are particularly sensitive to the presence of hydrometeors, which attenuate the signal. A model to forecast the attenuation based on forecasted rainfall amounts is presented. The valuable contribution of weather forecasts in the system optimization is demonstrated as well as the benefit of using ensemble forecasts over deterministic forecasts.
Émilie Bresson, Philippe Arbogast, Lotfi Aouf, Denis Paradis, Anna Kortcheva, Andrey Bogatchev, Vasko Galabov, Marieta Dimitrova, Guillaume Morvan, Patrick Ohl, Boryana Tsenova, and Florence Rabier
Nat. Hazards Earth Syst. Sci., 18, 997–1012, https://doi.org/10.5194/nhess-18-997-2018, https://doi.org/10.5194/nhess-18-997-2018, 2018
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Winds, waves and storm surges can inflict severe damage in coastal areas. To improve adaptability for such events, a better understanding of storm-induced coastal flooding events is necessary. This article is dedicated to evaluating wave and surge reconstruction methods based on available reanalyses data for French and Bulgarian coasts. This study shows that the wave and surge models should be forced by downscaled winds rather than modelled reanalyses.
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Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
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Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
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Khalil Ur Rahman, Songhao Shang, Khaled Saeed Balkhair, Hamza Farooq Gabriel, Khan Zaib Jadoon, and Kifayat Zaman
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Alexander Frank Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
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Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
Nat. Hazards Earth Syst. Sci., 24, 2025–2043, https://doi.org/10.5194/nhess-24-2025-2024, https://doi.org/10.5194/nhess-24-2025-2024, 2024
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Future changes in sub-daily rainfall extreme values are essential in various hydrological fields, but climate scenarios typically offer only daily resolution. One solution is rainfall generation. With a temperature-dependent rainfall generator climate scenario data were disaggregated to 5 min rainfall time series for 45 locations across Germany. The analysis of the future 5 min rainfall time series showed an increase in the rainfall extremes values for rainfall durations of 5 min and 1 h.
Ran Zhu and Lei Chen
Nat. Hazards Earth Syst. Sci., 24, 1937–1950, https://doi.org/10.5194/nhess-24-1937-2024, https://doi.org/10.5194/nhess-24-1937-2024, 2024
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There is a positive correlation between the frequency of Jianghuai cyclone activity and precipitation during the Meiyu period. Its occurrence frequency has an obvious decadal variation, which corresponds well with the quasi-periodic and decadal variation in precipitation during the Meiyu period. This study provides a reference for the long-term and short-term forecasting of precipitation during the Meiyu period.
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024, https://doi.org/10.5194/nhess-24-1657-2024, 2024
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The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
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We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024, https://doi.org/10.5194/nhess-24-1539-2024, 2024
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Previous studies found that climate models can predict storm activity in the German Bight well for averages of 5–10 years but struggle in predicting the next winter season. Here, we improve winter storm activity predictions by linking them to physical phenomena that occur before the winter. We guess the winter storm activity from these phenomena and discard model solutions that stray too far from the guess. The remaining solutions then show much higher prediction skill for storm activity.
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024, https://doi.org/10.5194/nhess-24-1501-2024, 2024
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Over Europe, 2022 was truly exceptional in terms of extreme heat conditions, both in terms of temperature anomalies and their temporal and spatial extent. The satellite all-sky land surface temperature (LST) is used to provide a climatological context to extreme heat events. Where drought conditions prevail, LST anomalies are higher than 2 m air temperature anomalies. ERA5-Land does not represent this effect correctly due to a misrepresentation of vegetation anomalies.
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024, https://doi.org/10.5194/nhess-24-1437-2024, 2024
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The official mortality data in the Czech Republic in 1919–2022 are used to show long-term fluctuations in the number of fatalities caused by excessive natural cold and heat, lightning, natural disasters, and falls on ice/snow, as well as the sex and age of the deceased, based on certain meteorological, historical, and socioeconomic factors that strongly influence changes in the number and structure of such fatalities. Knowledge obtained is usable in risk management for the preservation of lives.
Ben Maybee, Cathryn E. Birch, Steven J. Böing, Thomas Willis, Linda Speight, Aurore N. Porson, Charlie Pilling, Kay L. Shelton, and Mark A. Trigg
Nat. Hazards Earth Syst. Sci., 24, 1415–1436, https://doi.org/10.5194/nhess-24-1415-2024, https://doi.org/10.5194/nhess-24-1415-2024, 2024
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This paper presents the development and verification of FOREWARNS, a novel method for regional-scale forecasting of surface water flooding. We detail outcomes from a workshop held with UK forecast users, who indicated they valued the forecasts and would use them to complement national guidance. We use results of objective forecast tests against flood observations over northern England to show that this confidence is justified and that FOREWARNS meets the needs of UK flood responders.
Ashbin Jaison, Asgeir Sorteberg, Clio Michel, and Øyvind Breivik
Nat. Hazards Earth Syst. Sci., 24, 1341–1355, https://doi.org/10.5194/nhess-24-1341-2024, https://doi.org/10.5194/nhess-24-1341-2024, 2024
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The present study uses daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns. However, there is no single damage function that performs better than another. A newly devised damage–no-damage classifier shows some skill in predicting extreme damaging events.
Madlen Peter, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 24, 1261–1285, https://doi.org/10.5194/nhess-24-1261-2024, https://doi.org/10.5194/nhess-24-1261-2024, 2024
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The paper introduces a statistical modeling approach describing daily extreme precipitation in Germany more accurately by including changes within the year and between the years simultaneously. The changing seasonality over years is regionally divergent and mainly weak. However, some regions stand out with a more pronounced linear rise of summer intensities, indicating a possible climate change signal. Improved modeling of extreme precipitation is beneficial for risk assessment and adaptation.
Faye Hulton and David M. Schultz
Nat. Hazards Earth Syst. Sci., 24, 1079–1098, https://doi.org/10.5194/nhess-24-1079-2024, https://doi.org/10.5194/nhess-24-1079-2024, 2024
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Large hail devastates crops and property and can injure and kill people and livestock. Hail reports are collected by individual countries, so understanding where and when large hail occurs across Europe is an incomplete undertaking. We use the European Severe Weather Database to evaluate the quality of reports by year and by country since 2000. Despite its short record, the dataset appears to represent aspects of European large-hail climatology reliably.
Patrick Olschewski, Mame Diarra Bousso Dieng, Hassane Moutahir, Brian Böker, Edwin Haas, Harald Kunstmann, and Patrick Laux
Nat. Hazards Earth Syst. Sci., 24, 1099–1134, https://doi.org/10.5194/nhess-24-1099-2024, https://doi.org/10.5194/nhess-24-1099-2024, 2024
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We applied a multivariate and dependency-preserving bias correction method to climate model output for the Greater Mediterranean Region and investigated potential changes in false-spring events (FSEs) and heat–drought compound events (HDCEs). Results project an increase in the frequency of FSEs in middle and late spring as well as increases in frequency, intensity, and duration for HDCEs. This will potentially aggravate the risk of crop loss and failure and negatively impact food security.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
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Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 847–872, https://doi.org/10.5194/nhess-24-847-2024, https://doi.org/10.5194/nhess-24-847-2024, 2024
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Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
Colin Raymond, Anamika Shreevastava, Emily Slinskey, and Duane Waliser
Nat. Hazards Earth Syst. Sci., 24, 791–801, https://doi.org/10.5194/nhess-24-791-2024, https://doi.org/10.5194/nhess-24-791-2024, 2024
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How can we systematically understand what causes high levels of atmospheric humidity and thus heat stress? Here we argue that atmospheric rivers can be a useful tool, based on our finding that in several US regions, atmospheric rivers and humid heat occur close together in space and time. Most typically, an atmospheric river transports moisture which heightens heat stress, with precipitation following a day later. These effects tend to be larger for stronger and more extensive systems.
Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius
EGUsphere, https://doi.org/10.5194/egusphere-2024-371, https://doi.org/10.5194/egusphere-2024-371, 2024
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In our study we used statistical models to reconstruct past haildays in Switzerland from 1959–2022. This new timeseries reveals a significant increase in hail occurrences over the last seven decades. We link this trend to climate factors, showcasing the impact of increasing moisture and instability in the atmosphere. The last two decades have seen a surge in early hailseason events. This time series can now be used to study what drives the strong year-to-year variability of Swiss hailstorms.
Joseph Smith, Cathryn Birch, John Marsham, Simon Peatman, Massimo Bollasina, and George Pankiewicz
Nat. Hazards Earth Syst. Sci., 24, 567–582, https://doi.org/10.5194/nhess-24-567-2024, https://doi.org/10.5194/nhess-24-567-2024, 2024
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Nowcasting uses observations to make predictions of the atmosphere on short timescales and is particularly applicable to the Maritime Continent, where storms rapidly develop and cause natural disasters. This paper evaluates probabilistic and deterministic satellite nowcasting algorithms over the Maritime Continent. We show that the probabilistic approach is most skilful at small scales (~ 60 km), whereas the deterministic approach is most skilful at larger scales (~ 200 km).
Julia Miller, Andrea Böhnisch, Ralf Ludwig, and Manuela I. Brunner
Nat. Hazards Earth Syst. Sci., 24, 411–428, https://doi.org/10.5194/nhess-24-411-2024, https://doi.org/10.5194/nhess-24-411-2024, 2024
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We assess the impacts of climate change on fire danger for 1980–2099 in different landscapes of central Europe, using the Canadian Forest Fire Weather Index (FWI) as a fire danger indicator. We find that today's 100-year FWI event will occur every 30 years by 2050 and every 10 years by 2099. High fire danger (FWI > 21.3) becomes the mean condition by 2099 under an RCP8.5 scenario. This study highlights the potential for severe fire events in central Europe from a meteorological perspective.
Clemens Schwingshackl, Anne Sophie Daloz, Carley Iles, Kristin Aunan, and Jana Sillmann
Nat. Hazards Earth Syst. Sci., 24, 331–354, https://doi.org/10.5194/nhess-24-331-2024, https://doi.org/10.5194/nhess-24-331-2024, 2024
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Ambient heat in European cities will substantially increase under global warming, as projected by three heat metrics calculated from high-resolution climate model simulations. While the heat metrics consistently project high levels of ambient heat for several cities, in other cities the projected heat levels vary considerably across the three heat metrics. Using complementary heat metrics for projections of ambient heat is thus important for assessments of future risks from heat stress.
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 24, 265–289, https://doi.org/10.5194/nhess-24-265-2024, https://doi.org/10.5194/nhess-24-265-2024, 2024
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The influence of model resolution and settings on the reproduction of heat waves in Germany between 1980–2009 is analyzed. 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. Neither the increased resolution nor the tailored model settings are found to add significant value to the heat wave simulation. The models exhibit a large spread, indicating that the choice of model can be crucial.
Josep Bonsoms, Juan I. López-Moreno, Esteban Alonso-González, César Deschamps-Berger, and Marc Oliva
Nat. Hazards Earth Syst. Sci., 24, 245–264, https://doi.org/10.5194/nhess-24-245-2024, https://doi.org/10.5194/nhess-24-245-2024, 2024
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Climate warming is changing mountain snowpack patterns, leading in some cases to rain-on-snow (ROS) events. Here we analyzed near-present ROS and its sensitivity to climate warming across the Pyrenees. ROS increases during the coldest months of the year but decreases in the warmest months and areas under severe warming due to snow cover depletion. Faster snow ablation is anticipated in the coldest and northern slopes of the range. Relevant implications in mountain ecosystem are anticipated.
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-220, https://doi.org/10.5194/nhess-2023-220, 2024
Revised manuscript under review for NHESS
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This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
Matthew D. K. Priestley, David B. Stephenson, Adam A. Scaife, Daniel Bannister, Christopher J. T. Allen, and David Wilkie
Nat. Hazards Earth Syst. Sci., 23, 3845–3861, https://doi.org/10.5194/nhess-23-3845-2023, https://doi.org/10.5194/nhess-23-3845-2023, 2023
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This research presents a model for estimating extreme gusts associated with European windstorms. Using observed storm footprints we are able to calculate the return level of events at the 200-year return period. The largest gusts are found across NW Europe, and these are larger when the North Atlantic Oscillation is positive. Using theoretical future climate states we find that return levels are likely to increase across NW Europe to levels that are unprecedented compared to historical storms.
Tadeusz Chmielewski and Piotr A. Bońkowski
Nat. Hazards Earth Syst. Sci., 23, 3839–3844, https://doi.org/10.5194/nhess-23-3839-2023, https://doi.org/10.5194/nhess-23-3839-2023, 2023
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The paper deals with wind speeds of extreme wind events in Poland and the descriptions of their effects. Two recent estimations developed by the Institute of Meteorology and Water Management in Warsaw and by Halina Lorenc are presented and briefly described. The 37 annual maximum gusts of wind speeds measured between 1971 and 2007 are analysed. Based on the measured and estimated wind speeds, the authors suggest new estimations for extreme winds that may occur in Poland.
Jingyu Wang, Jiwen Fan, and Zhe Feng
Nat. Hazards Earth Syst. Sci., 23, 3823–3838, https://doi.org/10.5194/nhess-23-3823-2023, https://doi.org/10.5194/nhess-23-3823-2023, 2023
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Hail and tornadoes are devastating hazards responsible for significant property damage and economic losses in the United States. Quantifying the connection between hazard events and mesoscale convective systems (MCSs) is of great significance for improving predictability, as well as for better understanding the influence of the climate-scale perturbations. A 14-year statistical dataset of MCS-related hazard production is presented.
Ruijiao Jiang, Guoping Zhang, Shudong Wang, Bing Xue, Zhengshuai Xie, Tingzhao Yu, Kuoyin Wang, Jin Ding, and Xiaoxiang Zhu
Nat. Hazards Earth Syst. Sci., 23, 3747–3759, https://doi.org/10.5194/nhess-23-3747-2023, https://doi.org/10.5194/nhess-23-3747-2023, 2023
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Lightning activity in China is analyzed. Low latitudes, undulating terrain, seaside, and humid surfaces are beneficial for lightning occurrence. Summer of the year or afternoon of the day is the high period. Large cloud-to-ground lightning frequency always corresponds to a small ratio and weak intensity of positive cloud-to-ground lightning on either a temporal or spatial scale. Interestingly, the discharge intensity difference between the two types of lightning shrinks on the Tibetan Plateau.
George Pacey, Stephan Pfahl, Lisa Schielicke, and Kathrin Wapler
Nat. Hazards Earth Syst. Sci., 23, 3703–3721, https://doi.org/10.5194/nhess-23-3703-2023, https://doi.org/10.5194/nhess-23-3703-2023, 2023
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Cold fronts are often associated with areas of intense precipitation (cells) and sometimes with hazards such as flooding, hail and lightning. We find that cold-frontal cell days are associated with higher cell frequency and cells are typically more intense. We also show both spatially and temporally where cells are most frequent depending on their cell-front distance. These results are an important step towards a deeper understanding of cold-frontal storm climatology and improved forecasting.
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, and Tomàš Púčik
Nat. Hazards Earth Syst. Sci., 23, 3651–3669, https://doi.org/10.5194/nhess-23-3651-2023, https://doi.org/10.5194/nhess-23-3651-2023, 2023
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Probabilistic models for lightning and large hail were developed across Europe using lightning observations and hail reports. These models accurately predict the occurrence of lightning and large hail several days in advance. In addition, the hail model was shown to perform significantly better than the state-of-the-art forecasting methods. These results suggest that the models developed in this study may help improve forecasting of convective hazards and eventually limit the associated risks.
Rosa Claudia Torcasio, Alessandra Mascitelli, Eugenio Realini, Stefano Barindelli, Giulio Tagliaferro, Silvia Puca, Stefano Dietrich, and Stefano Federico
Nat. Hazards Earth Syst. Sci., 23, 3319–3336, https://doi.org/10.5194/nhess-23-3319-2023, https://doi.org/10.5194/nhess-23-3319-2023, 2023
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This work shows how local observations can improve precipitation forecasting for severe weather events. The improvement lasts for at least 6 h of forecast.
Gerd Bürger and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 3065–3077, https://doi.org/10.5194/nhess-23-3065-2023, https://doi.org/10.5194/nhess-23-3065-2023, 2023
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Our subject is a new catalogue of radar-based heavy rainfall events (CatRaRE) over Germany and how it relates to the concurrent atmospheric circulation. We classify reanalyzed daily atmospheric fields of convective indices according to CatRaRE, using conventional statistical and more recent machine learning algorithms, and apply them to present and future atmospheres. Increasing trends are projected for CatRaRE-type probabilities, from reanalyzed as well as from simulated atmospheric fields.
Marleen R. Lam, Alessia Matanó, Anne F. Van Loon, Rhoda A. Odongo, Aklilu D. Teklesadik, Charles N. Wamucii, Marc J. C. van den Homberg, Shamton Waruru, and Adriaan J. Teuling
Nat. Hazards Earth Syst. Sci., 23, 2915–2936, https://doi.org/10.5194/nhess-23-2915-2023, https://doi.org/10.5194/nhess-23-2915-2023, 2023
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There is still no full understanding of the relation between drought impacts and drought indices in the Horn of Africa where water scarcity and arid regions are also present. This study assesses their relation in Kenya. A random forest model reveals that each region, aggregated by aridity, has its own set of predictors for every impact category. Water scarcity was not found to be related to aridity. Understanding these relations contributes to the development of drought early warning systems.
Marie Hundhausen, Hendrik Feldmann, Natalie Laube, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 23, 2873–2893, https://doi.org/10.5194/nhess-23-2873-2023, https://doi.org/10.5194/nhess-23-2873-2023, 2023
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Using a convection-permitting regional climate ensemble, the magnitude of heat waves (HWs) over Germany is projected to increase by 26 % (100 %) in a 2 °C (3 °C) warmer world. The increase is strongest in late summer, relatively homogeneous in space, and accompanied by increasing variance in HW length. Tailored parameters to climate adaptation to heat revealed dependency on major landscapes, and a nonlinear, exponential increase for parameters characterizing strong heat stress is expected.
Pauline Rivoire, Olivia Martius, Philippe Naveau, and Alexandre Tuel
Nat. Hazards Earth Syst. Sci., 23, 2857–2871, https://doi.org/10.5194/nhess-23-2857-2023, https://doi.org/10.5194/nhess-23-2857-2023, 2023
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Heavy precipitation can lead to floods and landslides, resulting in widespread damage and significant casualties. Some of its impacts can be mitigated if reliable forecasts and warnings are available. In this article, we assess the capacity of the precipitation forecast provided by ECMWF to predict heavy precipitation events on a subseasonal-to-seasonal (S2S) timescale over Europe. We find that the forecast skill of such events is generally higher in winter than in summer.
Cited articles
AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E.:
Evaluation of Satellite-Retrieved Extreme Precipitation Rates across the
Central United States, J. Geophys. Res.-Atmos., 116,
https://doi.org/10.1029/2010JD014741, 2011. a
Anagnostopoulou, C. and Tolika, K.: Extreme Precipitation in Europe:
Statistical Threshold Selection Based on Climatological Criteria, Theor.
Appl. Climatol., 107, 479–489, https://doi.org/10.1007/s00704-011-0487-8,
2012. a
Anderson, T. W. and Darling, D. A.: Asymptotic Theory of Certain
“Goodness of Fit” Criteria Based on Stochastic Processes,
Ann. Math. Stat., 23, 193–212,
https://doi.org/10.1214/aoms/1177729437, 1952. a
Argence, S., Lambert, D., Richard, E., Chaboureau, J.-P., and Söhne, N.:
Impact of Initial Condition Uncertainties on the Predictability of Heavy
Rainfall in the Mediterranean: A Case Study, Q. J.
Roy. Meteorol. Soc., 134, 1775–1788, https://doi.org/10.1002/qj.314, 2008. a
Bazile, E., Marquet, P., Bouteloup, Y., and Bouyssel, F.: The Turbulent Kinetic
Energy (TKE) scheme in the NWP models at Meteo France, in: Workshop on
Workshop on Diurnal cycles and the stable boundary layer, 7–10 November 2011,
pp. 127–135, ECMWF, ECMWF, Shinfield Park, Reading, 2012. a
Bechtold, P., Bazile, E., Guichard, F., Mascart, P., and Richard, E.: A
Mass-Flux Convection Scheme for Regional and Global Models, Q. J. Roy. Meteorol. Soc., 127, 869–886,
https://doi.org/10.1002/qj.49712757309, 2001. a
Belamari, S.: Report on uncertainty estimates of an optimal bulk formulation
for surface turbulent fluxes, MERSEA IP Deliverable 412, pp. 1–29, 2005. a
Boisserie, M., Descamps, L., and Arbogast, P.: Calibrated Forecasts of
Extreme Windstorms Using the Extreme Forecast Index (EFI) and
Shift of Tails (SOT), Weather Forecast., 31, 1573–1589,
https://doi.org/10.1175/WAF-D-15-0027.1, 2015. a, b
Boisserie, M., Decharme, B., Descamps, L., and Arbogast, P.: Land surface
initialization strategy for a global reforecast dataset, Q. J.
Roy. Meteorol. Soc., 142, 880–888, https://doi.org/10.1002/qj.2688,
2016. a
Bougeault, P.: A Simple Parameterization of the Large-Scale Effects
of Cumulus Convection, Mon. Weather Rev., 113, 2108–2121,
https://doi.org/10.1175/1520-0493(1985)113<2108:ASPOTL>2.0.CO;2, 1985. a
Buizza, R. and Palmer, T. N.: The Singular-Vector Structure of the
Atmospheric Global Circulation, J. Atmos. Sci., 52,
1434–1456, https://doi.org/10.1175/1520-0469(1995)052<1434:TSVSOT>2.0.CO;2, 1995. a
Caldas-Álvarez, A., Khodayar, S., and Bock, O.: GPS – Zenith Total Delay
assimilation in different resolution simulations of a heavy precipitation
event over southern France, Adv. Sci. Res., 14, 157–162,
https://doi.org/10.5194/asr-14-157-2017,
2017. a
Charron, M., Pellerin, G., Spacek, L., Houtekamer, P. L., Gagnon, N., Mitchell,
H. L., and Michelin, L.: Toward Random Sampling of Model Error in the
Canadian Ensemble Prediction System, Mon. Weather Rev., 138,
1877–1901, https://doi.org/10.1175/2009MWR3187.1, 2009. a
Collier, C. G.: Flash Flood Forecasting: What Are the Limits of
Predictability?, Q. J. Roy. Meteorol. Soc., 133,
3–23, https://doi.org/10.1002/qj.29, 2007. a
Courtier, P., Freydier, C., Geleyn, J., Rabier, F., and Rochas, M.: The
ARPEGE project at Météo-France, ECMWF Seminar proceedings, vol.
II. ECMWF Reading, UK, pp. 193–231, 1991. a
Cuxart, J., Bougeault, P., and Redelsperger, J.-L.: A turbulence scheme
allowing for mesoscale and large-eddy simulations, Q. J.
Roy. Meteorol. Soc., 126, 1–30, https://doi.org/10.1002/qj.49712656202, 2000. a
Darling, D. A.: The Kolmogorov-Smirnov, Cramer-von Mises Tests,
Ann. Math. Stat., 28, 823–838,
https://doi.org/10.1214/aoms/1177706788, 1957. a
Davis, C., Brown, B., and Bullock, R.: 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, 2006a. a, b
Davis, C., Brown, B., and Bullock, R.: Object-Based Verification of
Precipitation Forecasts. Part II: Application to Convective
Rain Systems, Mon. Weather Rev., 134, 1785–1795,
https://doi.org/10.1175/MWR3146.1, 2006b. a
Davis, C. A., Brown, B. G., Bullock, R., and Halley-Gotway, J.: The
Method for Object-Based Diagnostic Evaluation (MODE)
Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring
Program, Weather Forecast., 24, 1252–1267,
https://doi.org/10.1175/2009WAF2222241.1, 2009. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C.,
Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B.,
Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park,
B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and
Vitart, F.: The ERA-Interim Reanalysis: Configuration and Performance
of the Data Assimilation System, Q. J. Roy.
Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
Delrieu, G., Nicol, J., Yates, E., Kirstetter, P.-E., Creutin, J.-D., Anquetin,
S., Obled, C., Saulnier, G.-M., Ducrocq, V., Gaume, E., Payrastre, O.,
Andrieu, H., Ayral, P.-A., Bouvier, C., Neppel, L., Livet, M., Lang, M.,
du-Châtelet, J. P., Walpersdorf, A., and Wobrock, W.: The
Catastrophic Flash-Flood Event of 8–9 September 2002
in the Gard Region, France: A First Case Study for the
Cévennes–Vivarais Mediterranean Hydrometeorological
Observatory, J. Hydrometeorol., 6, 34–52,
https://doi.org/10.1175/JHM-400.1, 2005. a, b
Descamps, L., Labadie, C., and Bazile, E.: Representing model uncertainty using
the multiparametrization method, in: Workshop on Representing Model
Uncertainty and Error in Numerical Weather and Climate Prediction Models,
20–24 June 2011, pp. 175–182, ECMWF, ECMWF, Shinfield Park, Reading,
available at: https://www.ecmwf.int/node/9015 (last access: 20 May 2020), 2011. a
Descamps, L., Labadie, C., Joly, A., Bazile, E., Arbogast, P., and Cébron,
P.: PEARP, the Météo-France Short-Range Ensemble
Prediction System, Q. J. Roy. Meteorol. Soc.,
141, 1671–1685, https://doi.org/10.1002/qj.2469, 2015. a
Du, J., Mullen, S. L., and Sanders, F.: Short-Range Ensemble Forecasting of
Quantitative Precipitation, Mon. Weather Rev., 125, 2427–2459,
https://doi.org/10.1175/1520-0493(1997)125<2427:SREFOQ>2.0.CO;2, 1997. a
Ducrocq, V., Aullo, G., and Santurette, P.: The extreme flash flood case of
November 1999 over Southern France, La Météorologie, 42, 18–27,
2003. a
Ebert, E. E. and McBride, J. L.: Verification of Precipitation in Weather
Systems: Determination of Systematic Errors, J. Hydrol., 239,
179–202, https://doi.org/10.1016/S0022-1694(00)00343-7, 2000. a
Ehmele, F., Barthlott, C., and Corsmeier, U.: The influence of Sardinia on
Corsican rainfall in the western Mediterranean Sea: A numerical sensitivity
study, Atmos. Res., 153, 451–464,
https://doi.org/10.1016/j.atmosres.2014.10.004,
2015. a, b
Erdin, R., Frei, C., and Künsch, H. R.: Data Transformation and
Uncertainty in Geostatistical Combination of Radar and Rain
Gauges, J. Hydrometeorol., 13, 1332–1346,
https://doi.org/10.1175/JHM-D-11-096.1, 2012. a
Frei, C. and Schär, C.: A Precipitation Climatology of the Alps from
High-Resolution Rain-Gauge Observations, Int. J.
Climatol., 18, 873–900,
https://doi.org/10.1002/(SICI)1097-0088(19980630)18:8<873::AID-JOC255>3.0.CO;2-9, 1998. a
Gregoire, T., Lin, Q. F., Boudreau, J., and Nelson, R.: Regression
Estimation Following the Square-Root Transformation of the
Response, Forest Sci., 54, 597–606, 2008. a
Goovaerts, P.: Geostatistics for natural resources evaluation, Oxford
University Press on Demand, 1997. a
Hamill, T. M.: Verification of TIGGE Multimodel and ECMWF
Reforecast-Calibrated Probabilistic Precipitation Forecasts over the
Contiguous United States, Mon. Weather Rev., 140, 2232–2252,
https://doi.org/10.1175/MWR-D-11-00220.1, 2012. a
Hamill, T. M. and Whitaker, J. S.: Probabilistic Quantitative Precipitation
Forecasts Based on Reforecast Analogs: Theory and Application,
Mon. Weather Rev., 134, 3209–3229, https://doi.org/10.1175/MWR3237.1, 2006. a
Hamill, T. M., Hagedorn, R., and Whitaker, J. S.: Probabilistic Forecast
Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II:
Precipitation, Mon. Weather Rev., 136, 2620–2632,
https://doi.org/10.1175/2007MWR2411.1, 2008. a
Houtekamer, P. L. and Mitchell, H. L.: Data Assimilation Using an
Ensemble Kalman Filter Technique, Mon. Weather Rev., 126, 796–811,
https://doi.org/10.1175/1520-0493(1998)126<0796:DAUAEK>2.0.CO;2, 1998. a
Houtekamer, P. L., Lefaivre, L., Derome, J., Ritchie, H., and Mitchell, H. L.:
A System Simulation Approach to Ensemble Prediction, Mon. Weather
Rev., 124, 1225–1242,
https://doi.org/10.1175/1520-0493(1996)124<1225:ASSATE>2.0.CO;2, 1996. a
Kai, T., Zhong-Wei, Y., and Yi, W.: A Spatial Cluster Analysis of Heavy
Rains in China, Atmos. Ocean. Sci. Lett., 4, 36–40,
https://doi.org/10.1080/16742834.2011.11446897, 2011. a
Kain, J. S. and Fritsch, J. M.: Convective Parameterization for Mesoscale
Models: The Kain-Fritsch Scheme, in: The Representation of
Cumulus Convection in: Numerical Models, edited by: Emanuel, K. A. and
Raymond, D. J., Meteorological Monographs, pp. 165–170, American
Meteorological Society, Boston, MA, https://doi.org/10.1007/978-1-935704-13-3_16,
1993. a
Khodayar, S., Czajka, B., Caldas-Alvarez, A., Helgert, S., Flamant, C.,
Di Girolamo, P., Bock, O., and Chazette, P.: Multi-scale observations of
atmospheric moisture variability in relation to heavy precipitating systems
in the northwestern Mediterranean during HyMeX IOP12, Q. J.
Roy. Meteorol. Soc., 144, 2761–2780, 2018. a
Kunz, M., Blahak, U., Handwerker, J., Schmidberger, M., Punge, H. J., Mohr, S.,
Fluck, E., and Bedka, K. M.: The severe hailstorm in southwest Germany on 28
July 2013: characteristics, impacts and meteorological conditions, Q.
J. Roy. Meteorol. Soc., 144, 231–250, 2018. a
Lack, S. A., Limpert, G. L., and Fox, N. I.: An Object-Oriented
Multiscale Verification Scheme, Weather Forecast., 25, 79–92,
https://doi.org/10.1175/2009WAF2222245.1, 2010. a
Lalaurette, F.: Early detection of abnormal weather conditions using a
probabilistic extreme forecast index, Quarterly Journal of the Royal
Meteorological Society: A journal of the atmospheric sciences, Appl.
Meteorol. Phys. Oceanogr., 129, 3037–3057, 2003. a
Lin, Y.-L., Chiao, S., Wang, T.-A., Kaplan, M. L., and Weglarz, R. P.: Some
Common Ingredients for Heavy Orographic Rainfall, Weather
Forecast., 16, 633–660,
https://doi.org/10.1175/1520-0434(2001)016<0633:SCIFHO>2.0.CO;2, 2001. a
Little, M. A., Rodda, H. J. E., and McSharry, P. E.: Bayesian objective classification of extreme UK daily rainfall for flood risk applications, Hydrol. Earth Syst. Sci. Discuss., 5, 3033–3060, https://doi.org/10.5194/hessd-5-3033-2008, 2008. a
Louis, J.-F.: A Parametric Model of Vertical Eddy Fluxes in the Atmosphere,
Bound.-Lay. Meteorol., 17, 187–202, https://doi.org/10.1007/BF00117978, 1979. a
Ly, S., Charles, C., and Degré, A.: Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium, Hydrol. Earth Syst. Sci., 15, 2259–2274, https://doi.org/10.5194/hess-15-2259-2011, 2011. a
Ly, S., Charles, C., and Degré, A.: Different methods for spatial interpolation of rainfall data for operational hydrology and hydrological modeling at watershed scale: a review, Biotechnologie, Agronomie, Société et Environnement, 17, 392–406, 2013. a
Mass, C. F., Ovens, D., Westrick, K., and Colle, B. A.: Does Increasing
Horizontal Resolution Produce More Skillful Forecasts?, B.
Am. Meteorol. Soc., 83, 407–430,
https://doi.org/10.1175/1520-0477(2002)083<0407:DIHRPM>2.3.CO;2, 2002. a
Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R., Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E., Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G., Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Pigeon, G., Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B., Vionnet, V., and Voldoire, A.: The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes, Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, 2013. a
Mills, G. F.: Principal Component Analysis of Precipitation and Rainfall
Regionalization in Spain, Theor. Appl. Climatol., 50,
169–183, https://doi.org/10.1007/BF00866115, 1995. a
Mittermaier, M., North, R., Semple, A., and Bullock, R.: Feature-Based
Diagnostic Evaluation of Global NWP Forecasts, Mon. Weather Rev.,
144, 3871–3893, https://doi.org/10.1175/MWR-D-15-0167.1, 2015. a, b
Molteni, F., Buizza, R., Palmer, T. N., and Petroliagis, T.: The ECMWF
Ensemble Prediction System: Methodology and Validation, Q.
J. Roy. Meteorol. Soc., 122, 73–119,
https://doi.org/10.1002/qj.49712252905, 1996. a
Morin, G., Fortin, J.-P., Sochanska, W., Lardeau, J.-P., and Charbonneu, R.:
Use of Principal Component Analysis to Identify Homogeneous Precipitation
Stations for Optimal Interpolation, Water Resour. Res., 15, 1841–1850,
https://doi.org/10.1029/WR015i006p01841, 1979. a
Nachamkin, J. E.: Application of the Composite Method to the Spatial
Forecast Verification Methods Intercomparison Dataset, Weather
Forecast., 24, 1390–1400, https://doi.org/10.1175/2009WAF2222225.1, 2009. a
Nuissier, O., Ducrocq, V., Ricard, D., Lebeaupin, C., and Anquetin, S.: A
Numerical Study of Three Catastrophic Precipitating Events over Southern
France. I: Numerical Framework and Synoptic Ingredients,
Q. J. Roy. Meteorol. Soc., 134, 111–130,
https://doi.org/10.1002/qj.200, 2008. a, b
Nuissier, O., Joly, B., Joly, A., Ducrocq, V., and Arbogast, P.: A Statistical
Downscaling to Identify the Large-Scale Circulation Patterns Associated with
Heavy Precipitation Events over Southern France, Q. J.
Roy. Meteorol. Soc., 137, 1812–1827, https://doi.org/10.1002/qj.866, 2011. a
Palmer, T., Buizza, R., Doblas-Reyes, F., Jung, T., Leutbecher, M., Shutts, G.,
Steinheimer, M., and Weisheimer, A.: Stochastic parametrization and model
uncertainty, ECMWF Technical Memorandum, p. 42, https://doi.org/10.21957/ps8gbwbdv,
2009. a
Peñarrocha, D., Estrela, M. J., and Millán, M.: Classification of Daily
Rainfall Patterns in a Mediterranean Area with Extreme Intensity Levels:
The Valencia Region, Int. J. Climatol., 22, 677–695,
https://doi.org/10.1002/joc.747, 2002. a
Pergaud, J., Masson, V., Malardel, S., and Couvreux, F.: A Parameterization
of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather
Prediction, Bound.-Lay. Meteorol. 132, 83,
https://doi.org/10.1007/s10546-009-9388-0, 2009. a
Petroliagis, T., Buizza, R., Lanzinger, A., and Palmer, T. N.: Potential Use of
the ECMWF Ensemble Prediction System in Cases of Extreme Weather Events,
Meteorol. Appl., 4, 69–84, https://doi.org/10.1017/S1350482797000297,
1997. a
Piriou, J.-M., Redelsperger, J.-L., Geleyn, J.-F., Lafore, J.-P., and Guichard,
F.: An Approach for Convective Parameterization with Memory:
Separating Microphysics and Transport in Grid-Scale
Equations, J. Atmos. Sci., 64, 4127–4139,
https://doi.org/10.1175/2007JAS2144.1, 2007. a
Ricard, D., Ducrocq, V., and Auger, L.: A Climatology of the Mesoscale
Environment Associated with Heavily Precipitating Events over a
Northwestern Mediterranean Area, J. Appl. Meteorol.
Climatol., 51, 468–488, https://doi.org/10.1175/JAMC-D-11-017.1, 2011. a, b
Romero, R., Ramis, C., and Guijarro, J. A.: Daily Rainfall Patterns in the
Spanish Mediterranean Area: An Objective Classification, Int.
J. Climatol., 19, 95–112,
https://doi.org/10.1002/(SICI)1097-0088(199901)19:1<95::AID-JOC344>3.0.CO;2-S, 1999. a
Rossa, A., Nurmi, P., and Ebert, E.: Overview of Methods for the Verification
of Quantitative Precipitation Forecasts, in: Precipitation: Advances in
Measurement, Estimation and Prediction, edited by Michaelides,
S., pp. 419–452, Springer Berlin Heidelberg, Berlin, Heidelberg,
https://doi.org/10.1007/978-3-540-77655-0_16, 2008. a
Schär, C., Ban, N., Fischer, E. M., Rajczak, J., Schmidli, J., Frei, C.,
Giorgi, F., Karl, T. R., Kendon, E. J., Tank, A. M. G. K., O'Gorman, P. A.,
Sillmann, J., Zhang, X., and Zwiers, F. W.: Percentile Indices for Assessing
Changes in Heavy Precipitation Events, Clim. Change, 137, 201–216,
https://doi.org/10.1007/s10584-016-1669-2, 2016. a
Scholz, F. W. and Stephens, M. A.: K-Sample Anderson-Darling Tests,
J. Am. Stat. Assoc., 82, 918–924,
https://doi.org/10.2307/2288805, 1987. a
Schumacher, R. S. and Davis, C. A.: Ensemble-Based Forecast Uncertainty
Analysis of Diverse Heavy Rainfall Events, Weather Forecast., 25,
1103–1122, https://doi.org/10.1175/2010WAF2222378.1, 2010. a
Sénési, S., Bougeault, P., Chèze, J.-L., Cosentino, P., and
Thepenier, R.-M.: The Vaison-La-Romaine Flash Flood: Mesoscale
Analysis and Predictability Issues, Weather Forecast., 11,
417–442, https://doi.org/10.1175/1520-0434(1996)011<0417:TVLRFF>2.0.CO;2, 1996. a
Shepard, D.: A Two-Dimensional Interpolation Function for
Irregularly-Spaced Data, in: Proceedings of the 1968 23rd ACM
National Conference, ACM '68, pp. 517–524, ACM, New York, NY, USA,
https://doi.org/10.1145/800186.810616, 1968. a
Stensrud, D. J., Brooks, H. E., Du, J., Tracton, M. S., and Rogers, E.: Using
Ensembles for Short-Range Forecasting, Mon. Weather Rev.,
127, 433–446, https://doi.org/10.1175/1520-0493(1999)127<0433:UEFSRF>2.0.CO;2, 1999. a
Teo, C.-K., Koh, T.-Y., Chun-Fung Lo, J., and Chandra Bhatt, B.: Principal
Component Analysis of Observed and Modeled Diurnal Rainfall in
the Maritime Continent, J. Climate, 24, 4662–4675,
https://doi.org/10.1175/2011JCLI4047.1, 2011. a
Toth, Z. and Kalnay, E.: Ensemble Forecasting at NMC: The
Generation of Perturbations, B. Am. Meteorol.
Soc., 74, 2317–2330,
https://doi.org/10.1175/1520-0477(1993)074<2317:EFANTG>2.0.CO;2, 1993. a
Toth, Z. and Kalnay, E.: Ensemble Forecasting at NCEP and the
Breeding Method, Mon. Weather Rev., 125, 3297–3319,
https://doi.org/10.1175/1520-0493(1997)125<3297:EFANAT>2.0.CO;2, 1997. a
Vié, B., Nuissier, O., and Ducrocq, V.: Cloud-Resolving Ensemble
Simulations of Mediterranean Heavy Precipitating Events:
Uncertainty on Initial Conditions and Lateral Boundary
Conditions, Mon. Weather Rev., 139, 403–423,
https://doi.org/10.1175/2010MWR3487.1, 2010.
a
Walser, A. and Schär, C.: Convection-Resolving Precipitation Forecasting
and Its Predictability in Alpine River Catchments, J. Hydrol.,
288, 57–73, https://doi.org/10.1016/j.jhydrol.2003.11.035, 2004. a
Walser, A., Lüthi, D., and Schär, C.: Predictability of
Precipitation in a Cloud-Resolving Model, Mon. Weather Rev.,
132, 560–577, https://doi.org/10.1175/1520-0493(2004)132<0560:POPIAC>2.0.CO;2, 2004. a
Wernli, H., Hofmann, C., and Zimmer, M.: Spatial Forecast Verification
Methods Intercomparison Project: Application of the SAL Technique,
Weather Forecast., 24, 1472–1484, https://doi.org/10.1175/2009WAF2222271.1,
2009. a, b
World Meteorological Organization (Ed.): Guidelines on Ensemble Prediction
Systems and Forecasting, 1091, WMO, 2012. a
World Meteorological Organization (Ed.): Guidelines on the definition and
monitoring of extreme weather and climate events, Task Team on definitions of
Extreme Weather and Climate Events (TT-DEWCE), 2016. a
Short summary
We assess a methodology to evaluate and improve intense precipitation forecasting in the southeastern French region. This methodology is based on the use of a 30-year dataset of past forecasts which are analysed using a spatial verification approach. We found that precipitation forecasting is qualitatively driven by the deep-convection parametrization. Locally the model is able to reproduce the distribution of spatially integrated rainfall patterns of the most intense precipitation.
We assess a methodology to evaluate and improve intense precipitation forecasting in the...
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