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  • 1
    Publication Date: 2019-02-18
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
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  • 2
    Publication Date: 2012-04-01
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
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  • 3
  • 4
    Publication Date: 2020-12-14
    Description: Forecasting and early warning systems are important investments to protect lives, properties and livelihood. While early warning systems are frequently used to predict the magnitude, location and timing of potentially damaging events, these systems rarely provide impact estimates, such as the expected amount and distribution of physical damage, human consequences, disruption of services or financial loss. Complementing early warning systems with impact forecasts has a two‐fold advantage: it would provide decision makers with richer information to take informed decisions about emergency measures, and focus the attention of different disciplines on a common target. This would allow capitalizing on synergies between different disciplines and boosting the development of multi‐hazard early warning systems. This review discusses the state‐of‐the‐art in impact forecasting for a wide range of natural hazards. We outline the added value of impact‐based warnings compared to hazard forecasting for the emergency phase, indicate challenges and pitfalls, and synthesize the review results across hazard types most relevant for Europe.
    Language: English
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 5
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-02
    Description: Socioeconomic livelihoods in the Horn of Africa (HA) are highly dependent on seasonal rainfall, which occurs during two main seasons: October-November-December (OND) and March-April-May (MAM). During the two last decades the HA region has been affected by severe and prolonged droughts, leading to acute food insecurity, shortage of drinking water, and increasing risk of disease. Sub-seasonal drought prediction over the HA, from two weeks to two months, is therefore crucial for decision making and early warnings across several sectors. The sub-seasonal prediction of high and low precipitation extremes (PEs) by dynamical forecast systems is challenging for both rainy seasons, but there may be potential for extending the current prediction timescale based on remote drivers. To investigate the sub-seasonal predictability of PEs during the OND season we build a Long Short-Term Memory (LSTM) Neural Network predicting biweekly precipitation tercile categories over the HA region. The LSTM is trained on observational and reanalysis data during the period 1981—2020 and provides predictions with lead times of one week to one month. The results show that floods can be more skillfully predicted than droughts for all lead times. Moreover, we use explainable AI methods to explore the contribution of remote drivers to the predictions and potential sub-seasonal forecast opportunities for PEs. Preliminary results show that the sea surface temperature over the tropical Pacific is important for the LSTM prediction, but further investigation is needed to determine more factors affecting the prediction skill for PEs over the HA region.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 6
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-09
    Description: Precipitation in arid regions can have large societal impacts. On the one hand, when rainfall comes in high intensities, it can lead to deadly floods. On the other hand, precipitation can also refill freshwater resources that are typically scarce in these dry regions. Atmospheric processes that can lead to precipitation in arid regions are often studied at the regional scale and remain poorly understood from a global perspective. In this study, we identify Rossby wave breaking based on the combination of potential vorticity streamers and cutoffs in ERA5 reanalysis data, and we quantify the contribution of this atmospheric process to precipitation at the global scale using different datasets. Rossby wave breaking significantly contributes to 80-90% of daily precipitation extremes and to 70-80% of total precipitation amounts in arid regions equatorward and downstream of the midlatitude storm tracks. Portions of land surface area where Rossby wave breaking significantly contributes to precipitation increases from 10-25% in humid regions to about 50% in regions with a hyper arid climate. In subtropical arid regions, Rossby wave breaking contributes to much of the precipitation during the transition seasons and winter, whereas extratropical arid regions receive precipitation under the influence of Rossby wave breaking throughout the year. This study shows that Rossby wave breaking is a key driver of precipitation in arid regions, offering new opportunities to improve medium-range prediction of flood hazards and to better understand the role of atmospheric dynamics in projections and uncertainties of future precipitation changes in climate model simulations.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 7
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-02
    Description: Heatwaves have disastrous impacts on human health, ecosystems, and agriculture. Heatwave impacts can be mitigated by early warnings, which were found to effectively reduce the risk from temperature extremes on the sub-seasonal prediction timescale. The quality of heatwave warnings is bound to the predictability of heatwaves, which is mainly investigated in terms of the prediction potential of heatwave intensity. The prediction of heatwave features such as heatwave onset and duration would benefit impact prediction and early warnings. For example, higher mortality risk was previously identified for heatwaves that were more intense, longer, or occurred with earlier timing in the summer. We assess the predictability of heatwave onset, duration, and intensity for the large-scale European heatwaves during 1998-2017. The predictability of heatwave characteristics is evaluated for the lead times of 1—3 weeks in the ECMWF forecast system. The highest predictability in heatwave onset and duration is found over Northern Europe, while Western Europe has the lowest bias in heatwave intensity. Furthermore, we identify the most predictable and least predictable heatwaves over Europe. The most predictable events include the Russian heatwaves of 2010 and 2017, and the 2012 event over Eastern Europe. Some of the least predictable events include the events of 2016 over Russia and of 2017 over Western Europe. The identification of the most and least predictable heatwaves sets the basis for a further investigation of the causes for differences in heatwave predictability over Europe.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 8
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-29
    Description: In the Arctic, the stratospheric polar vortex usually breaks up between March and May in an event known as Final Stratospheric Warming (FSW). The polar vortex breakdown can induce anomalies at the surface, which depend to a large part on the timing of the FSW. Here, we investigate the importance of Arctic stratospheric ozone for the timing and surface impacts of FSWs under present-day and future conditions. In detail, we investigate the relationship between springtime ozone and the FSW in two Chemistry Climate Models using setups with fully interactive and prescribed climatological ozone for present-day and future conditions. For years with low springtime ozone concentrations in present-day conditions, we find that the FSW at 50 hPa is significantly delayed by 10-14 days and does not show robust effects on surface climate. In contrast, in years with high ozone concentrations, the FSW happens 9-16 days earlier than average and is followed by a negative Arctic Oscillation (AO) at the surface. Most importantly, stratospheric ozone anomalies contribute to the variability of FSWs and significantly enhance their surface effects in high ozone years in present-day conditions. These findings emphasise the importance of interactive ozone chemistry for subseasonal to seasonal predictions. For future conditions, we find that Arctic ozone variability is significantly reduced, as springtime ozone minima become smaller with declining abundances of ozone depleting substances. Consequences of a decrease in ozone variability on the connection between ozone and the timing of the FSW are discussed.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 9
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-29
    Description: Heatwaves, defined as extended periods of excessive heat, are one of the most hazardous weather events, with important implications for human health, the economy and infrastructure. The time needed to prepare for an extreme weather event is often on the order of several weeks to months, well beyond the current reliability of short-term weather predictions. In this project, we aim to enhance the predictability of heatwaves at lead times of weeks to months by allowing for an improved understanding of their fundamental drivers. This will be achieved by building a model hierarchy of increasing complexity of the general circulation model ICON. The hierarchy includes model versions starting from the ICON dry dynamical core to the full model physics, to investigate specific mechanisms of potential relevance for the representation of heatwaves at the different steps of the hierarchy. Here we present the preliminary results of the project. These include a set of experiments with the dry dynamical model core, showing that mountains located along the midlatitude jet axis have the largest impact on heatwaves and that changes in surface roughness length affect the intensity and the position of the jet, with important consequences for the occurrence of heatwaves, particularly over the mid-to-high latitudes. Additionally, we present a series of experiments testing the effect of local changes to different features of a Mixed-Layer Ocean, as well as an evaluation of the ability of the ICON version with full model physics in reproducing heatwave events as derived from reanalysis data.
    Language: English
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  • 10
    Publication Date: 2023-06-05
    Description: In early 2022, several extreme weather events occurred in the Southern Hemisphere. Devastating floods killed more than 500 people in South Africa (11-12 April) and 26 people in eastern Australia (24-28 February and 25-31 March), while an unprecedented heatwave broke temperature records in Antarctica (16-22 March). This study presents a multiscale analysis of the atmospheric processes associated with these extreme events from synoptic to planetary scales. Equatorward Rossby wave breaking facilitated the transport of moist air from tropical oceans to the subtropical regions affected by the extreme precipitation events, while poleward Rossby wave breaking forced an intrusion of warm and moist extratropical air masses into the Antarctic conntinent. Southern hemispheric extratropical wave activity demonstrated relatively normal conditions during February and March, while wave energy peaked for wave number 5 during April. From a planetary-scale perspective, we investigate how modes of tropical variability, including the El-Nino Southern Oscillation (ENSO; in a La Nina phase) and the Madden-Julian Oscillation (MJO), modulate large-scale atmospheric circulation patterns, extratropical wave activity, and Rossby wave breaking. Overall, this study clarifies the role of regional and remote atmospheric processes in the recent weather extremes in the Southern Hemisphere.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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