Flood forecasting and early warning have long played an important role in disaster risk reduction. Accurate flood forecasting, effective early warning, and proper responses enabled by actionable risk information are key to reducing potential flood damages and disruptions to properties, assets, the natural environment, and the normal functioning of the society. Over the past decades, significant advances have been made in these areas, owing to the increased availability of data, computational resources, and digital technology. However, challenges remain in many aspects.

This special issue aims to solicit contributions from different disciplines in the broad field of flood forecasting, early warning, and risk communication to exchange new knowledge, recent advances, and best practices from the perspectives of researchers, industry, and government organizations. Specific topics of this special issue will cover, but are not limited to

• new and emerging flood forecasting methods and techniques for fluvial, pluvial, coastal, and groundwater flooding at various scales;
• uncertainties in flood forecasting and mitigating methods;
• flood forecasting and early warning under deep uncertainties;
• forecasting and warning of flood-related perils such as landslides and debris flow;
• advances in flood warning and risk communication;
• new methods, tools, and techniques for communicating flood risks;
• advances in risk evaluation;
• flood warning based on strategic and operational responses.

Theoretical, methodological, and applied research in the field is encouraged. Submissions for all manuscript types such as commentaries, review articles, and research papers are welcome.

The rise in the global population, the effects of climate change, and the growing urbanization in regions prone to natural hazards are some of the factors contributing to the exponential increase in the economic and human losses due to natural hazards. In response to this global challenge, several international agendas such as the Sendai Framework for Disaster Risk Reduction, the United Nations 17 Sustainable Development Goals, and the Paris Climate Agreement specifically demand a better understanding of disaster risk and impose specific risk reduction targets for the upcoming decades. Yet understanding, quantifying, and monitoring risk remain a challenge, particularly in areas where traditional risk data are limited. In the last decade, scientists, risk modellers, and data analysts have explored cutting-edge technologies such as artificial intelligence and data sources with unprecedented detail and spatial resolution to improve the reliability, accuracy, and geographical coverage of disaster risk assessment studies. The huge rise in popularity of these methods also comes with potential risks. This special issue fills an urgent need to properly understand the potential for AI and machine learning in the field of disaster risk analysis, communicate potential pitfalls and limitations, and provide examples of best practice. This special issue presents some of the recent advances and applications of machine learning in natural hazards risk assessment, covering the following topics:

• exposure data collection and automatic building classification;
• risk mapping and damage assessment;
• development of hazard intensity and vulnerability models;
• monitoring population and urban growth;
• post-disaster damage and loss detection;
• modelling of socio-economic vulnerability;
• when to use AI or machine learning vs. when to use conventional disaster risk analysis models;
• data, models, uncertainty, and performance metrics;
• ethical considerations in the use of AI for disaster risk modelling.

Extreme hydro-meteorological events (e.g., storms, storm surges, floods, extreme waves, marine heatwaves) have caused serious damage to society and infrastructures at coastal areas during the past decades. The continued growth in commerce, infrastructure, and population and the impacts of climate change on coastal hazards are all contributing to an increase in the risk associated with living and working at the coast. These extreme events are caused by interactions of large- and small-scale forcing mechanisms, sequences of weather anomalies, and non-linear combined atmosphere-wave-circulation-hydrologic-morphologic responses. They can cause tremendous economic losses at coastal areas, leading to substantial damage to infrastructure and ecosystems. It is, thus, important to gain improved scientific understanding on the physical drivers controlling such extreme events, their occurrence and frequency, and the resulting impact on coastal hazards. This gain in knowledge will allow the improvement of predictive skills at daily to decadal timescales. However, state-of-the-art numerical predictions and projections are not skilful enough yet for stakeholders, water managers, and policy makers. The full capabilities of hindcasting and predicting weather-driven extremes have not been realized yet due to systematic errors in the simulation of feedbacks between atmosphere, terrestrial, and oceanic systems, particularly for coastal areas, with enhanced difficulties in representing multiscale processes and discrepancies in the modelled physics.

This special issue deals with coastal hazards and hydro-meteorological extremes, tackling coastal impacts on a broad range of environmental and economic systems. The focus will be on physical hazard drivers and hydro-meteorological extreme events, identifying the key physical processes and/or model resolutions for resolving their interactions, as well as examining their predictability at multiple timescales. Considered topics include, but are not limited to, estuarine/deltaic dynamics, hydrologic controls on sediment supply and salinity intrusion, ecosystem responses and morphologic evolution under natural and anthropogenic changes, cascading/compounding effects of extremes, and resulting coastal impacts. Papers on modelling improvements for simulating and predicting extreme events and coastal hazards and assessing their socioeconomic impact are also encouraged.

Droughts are among the most damaging and least understood of all so-called natural hazards. Droughts often lead to long-lasting and cascading impacts on different sectors across multiple spatial scales. Because the impacts of drought are less direct and immediately visible than the impacts of events such as floods or storms, drought has, for a long time, received less attention in disaster research and risk reduction. The likelihood of such impacts, understood as drought risk, is caused by the combination of drought hazard, exposure, and a broad range of underlying vulnerability factors. To support the identification and planning of drought risk reduction, risk transfer, and adaptation options, information on the drivers, patterns, and dynamics of current and future drought risk is needed in all dimensions of drought hazard, exposure, and system vulnerability. We aim at soliciting contributions (commentaries, review articles, original research articles) for a special issue on drought vulnerability, risk, and impact assessments that aim to inform drought risk management, risk transfer, and adaptation policy and action in the context of global environmental change and societal transformation.

Papers may consider the following topics:

• drought vulnerability, risk, or impact assessments (qualitative, quantitative, or mixed-method approaches) for different sectors (e.g. agriculture, energy production, transportation, tourism) and systems (e.g. ecosystems), at different spatial (local to global) and/or temporal scales (past trends, current patterns, future scenarios);
• assessment and communication of uncertainties in drought risk assessments (and risk components);
• validation strategies of the outcomes of drought risk assessments (e.g. through loss and damage information or expert-based);
• validation of the utility of drought vulnerability, risk, and impact assessments for climate action, resilience-building, and (inter)national climate policy;
• emergent risks associated with droughts (including in the focus of compound hazards), the multiple interconnections that influence systemic drought risks, and the cascading effects of droughts;
• studies that aim to bridge the ``science to policy-action'' gap by providing science-based solutions to the international community, nations, and communities on how to build resilience.

A series of contributions will be drawn from the EGU2020: Sharing Geoscience Online session "Drought risk, vulnerability and impact assessment: achievements and future directions'' held on 8 May 2020; however, unsolicited contributions are also highly encouraged. The guest editors aim for diversity and balance in contributions and authors. We especially encourage researchers from developing countries, women, and underrepresented minorities to contribute to this special issue.

The special issue will collect contributions from the scientific abstracts submitted to vEGU 2021 in the NH4.1 session "Earthquake-induced hazards: ground motion amplification and ground failures". Nevertheless, it is open to other submissions that are consistent with the topic of the EGU session. Generally, the main concern of the occurrence of an earthquake is ground shaking, although past events worldwide demonstrated that damage and death toll depend on both the strong ground motion and the ground effects. The variability of earthquake ground motion is caused by local geological conditions beneath a given site, due to the stratigraphic or topographic setting, that can give rise to amplification and resonances. Earthquake-induced ground effects are mainly landslides, soil liquefaction, surface faulting, and ground subsidence. They can affect an area with damage related to the full collapse or loss in functionality of facilities, roads, pipelines, and other lifelines.

One of the main interesting points of the special issue is that the topic of earthquake-induced hazards is observed with a multidisciplinary point of view, including different processes that are frequently analysed independently, although they are all tightly linked together. Moreover, the special issue will offer the opportunity to join scientific communities that rarely share their knowledge and results.

Specific topics of the special issue are

• subsoil investigation and characterization for seismic microzonation mapping,
• evaluation of seismic site response (1D, 2D, 3D),
• case histories of earthquake-triggered landslides analysed at either the local or regional scale,
• slope stability analyses and runout modelling of seismically/volcanically induced landslides, and
• studies on soil liquefaction and earthquake-induced subsidence.

Extreme hydrometeorological and geomorphological events account for 45 % of the fatalities and 79 % of the economic losses caused by natural hazards. Exacerbated by high seismic activity, rugged terrain such as the Himalayan landscape is particularly susceptible to generating these events, which often transform into cascading hazards where an initial event causes a downstream chain reaction (Shugar et al., 2021). These hazards interfere with increasing population pressure and expansion of settlements along rivers and new infrastructure developments such as roads and hydropower projects. Rising temperatures and changes in weather patterns in the wake of global warming likely elevate risks from hazards such as landslides, glacial lake outburst floods, riverine, and flash floods (Kraaijenbrink et al., 2017). The complexity of these hazards and their underlying processes demand scientific efforts and approaches from multiple disciplines.

The proposed special issue aims to compile recent research that estimates and predicts natural hazards and risks in the Himalayan region. We encourage research submissions that report hydro-geophysical modelling, innovative data-analysis approaches, remote sensing, and risk assessment. Multi- and transdisciplinary approaches are particularly welcome. Interdisciplinary and international collaborative efforts enhance scientific discovery, and multidisciplinary research is limited despite the clear benefits. With the envisaged special issue, we further aim to amalgamate expertise, methods, and data of several research articles to advance the understanding of the impacts and changes in the extremely high mountain landscape. Our goal is to attract articles from hydro-geophysical modelling, innovative data approaches, remote-sensing-based observations, and risk/vulnerability assessment.

Coastal cities are hotspots of risks related to natural hazards. Already today, many of these cities face high economic and non-economic losses from disasters and creeping environmental changes. However, risks in coastal cities are expected to rise even further, fuelled by the interplay of two global mega-trends: climate change and continued coastal urbanization. The question of how to adapt cities to the hazards of the future is therefore of great concern – not only for scientists, but also for policy makers and risk practitioners. The relevance of this question even increases when considering the central role of coastal cities in economies and societies at the global scale, for instance, in terms of trade, transport, and culture.

However, a number of important scientific knowledge gaps persist with regards to risk assessment and adaptation analysis in coastal cities. While the assessment of future risk trends in these cities is predominantly focused on scenarios of future hazards (sea level rise, floods, typhoons, etc.), scenarios of socio-economic changes and hence future trends in exposure and vulnerability are typically not part of the picture due to a lack either of awareness or adequate methods and data. This lack is significant and leads to potentially flawed and imprecise assessments of future risk trends and eventually adaptation needs. Secondly, knowledge on the feasibility of different – often competing – adaptation options remains thin. It is too often based on a reductionist set of evaluation criteria, e.g. economic costs and benefits, and a view towards singular adaptation measures, e.g. hard coastal protection. Integrative and comparative assessments that evaluate different adaptation options (e.g. retreat vs. flood accommodation) against a wider set of criteria such as social acceptance or political feasibility are still poorly developed. Thirdly, scientific engagement with coastal urban risk too often remains within siloes of different disciplines (engineering, sociology, economics, planning, etc.). This hampers interdisciplinary assessments and leads to significant blind spots, e.g. with respect to private sector adaptation or collective action for adaptation across different groups of actors.

The special issue aims at making a significant contribution towards closing these knowledge gaps. It is open to theoretical, methodological, and empirical contributions and will combine a mixture of research articles, review articles, and brief communications. Submissions for all these manuscript types are therefore welcome. Both local case studies from across the globe as well as regional- or and global-level perspectives are invited. The special issue is particularly interested in contributions that draw on combined perspectives from different disciplines. A particular focus will be on coastal cities with high growth dynamics and adaptation pressure, as can be observed in many transition economies of Asia and Africa.

In the past decades, the risk to society due to natural hazards has increased around the globe. The Andes region is particularly exposed to natural hazards like earthquakes, tsunamis, flooding, landslides, volcanic activity, forest fires, and others. To mitigate these threats, effective risk management is indispensable, for which reliable and up-to-date information is essential. The complex relationships between multiple and consecutive natural hazards, the exposed population, a dynamic vulnerability, and critical infrastructures lead to cascading effects which are often not considered. Furthermore, the assessment, quantification, and propagation of intrinsic and epistemic uncertainty are mostly not considered. This can lead to inadequate or even misleading risk management strategies, thus hindering efficient prevention and mitigation measures, and ultimately undermining the resilience of societies.

The special issue aims at making a significant contribution to single-hazard and multi-hazard risk assessment, including exposure and dynamic vulnerability, and progressing towards the analysis of cascading effects. Specific topics of this special issue include, but are not limited to,

• new methods and techniques for (multi-)hazard scenarios, exposure, and vulnerability modelling;
• new methods and techniques for impact assessment, cascading effects, and loss estimation;
• design, development, and implementation of tools for the analysis of multi-risks;
• analysis and development towards practical applications for stakeholders and decision makers.

The special issue asks for contributions that address countries of the Andes region. Submissions for all manuscript types such as research articles, review articles, and brief communications are welcome.

Initiated by the German research project ClimXtreme (https://climxtreme.net/index.php), but open to all relevant submissions, the objective of the inter-journal special issue "Past and future European atmospheric extreme events under climate change" is to compile research results and recent advances in research exploring if and how extreme weather events have changed in the past, and what is to be expected under future climate scenarios. The time span covers the past and present centuries. Foci are physical mechanisms, statistical assessments, and impact-prone processes. Research on physical mechanisms addresses understanding the relationship between the extreme events' occurrence and severity and their spatial and temporal environment, exploring how climate change influences their generation processes in the past and a prospective future. Statistical approaches related to data science make use of large heterogeneous observational and model output data, of both the past and future, or advanced statistical methods, such as attribution research. Impact-related research investigates factors modifying the relation of the extreme meteorological conditions and the outcome in terms of damage, as pre-conditioning mechanisms can change the resilience of society and ecosystems against extremes. Compound meteorological events can lead to damage with a combination of relatively weak extremes. The regional focus is on continental Europe and its marginal seas, including the Atlantic and Arctic regions as important interacting parts of the climate system. Authors are advised to choose the most appropriate journal for their papers, which in this inter-journal special issue are Hydrology and Earth System Sciences (HESS), Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO), and Weather and Climate Dynamics (WCD).

Fire is an essential feature of terrestrial ecosystems and plays an important role in the Earth system. Fires are regulated by climate, vegetation characteristics, and human activity and also feedback to them in multiple ways. For example, fires can shape vegetation composition and structure; adjust land carbon, nutrient, water, and energy cycles; change atmospheric composition, chemistry, and physics; and affect air quality and human health. Elevated fire activity in 2019 across the arctic, Amazon, and other regions underscores the urgency of a quantitative understanding of fire as an Earth system process that interacts with vegetation, climate, and humans. The EGU2020 B3.17 session on the role of fire in the Earth system received the most abstracts in the Biogeosciences division this year and was highly attended during the live chat. The abstracts cover several aspects of interactions between fire and the biosphere, atmosphere, and humans across various temporal and spatial scales using modelling, field and laboratory observations, and remote sensing. Given that the topic is highly interdisciplinary and overarching, we propose an inter-journal (ESD/BG/ACP/GMD/NHESS) special issue for this session with ESD as the lead journal, and we also encourage the submission of topic-related studies outside the EGU fire session. The special issue will bring together new advances in understanding the feedbacks and interactions between fire and other components of the Earth system at all temporal and spatial scales using various methods, including (1) impacts of fire on weather, climate, and atmospheric chemistry; (2) interactions between fire, the biogeochemical cycle, vegetation composition and structure, and land water and energy budgets; (3) influence of humans on fire and vice versa; (4) fire characteristics (e.g., fire duration, emission factor, emission height, smoke transport); (5) spatial and temporal changes of fires in the past, present, and future; (6) fire products and models, their validation, and error/bias assessment; and (7) analytical tools designed to enhance situational awareness among fire practitioners and early warning systems, addressing specific needs of operational fire behaviour modelling.

Tsunamis can produce catastrophic damage on vulnerable coastlines, following major earthquakes, landslides, volcanic eruptions, or atmospheric disturbances. In the last 15-20 years tsunami science has assumed an essential role within the geophysics community. In past years, the previous special issues on tsunamis focused on relevant topics also motivated by the two most significant events that have occurred in the instrumental era, which are the 2004 Sumatra-Andaman (Mw 9.2) and the 2011 Japan (Mw 9.0) earthquakes and tsunamis. These events triggered many studies and allowed a significant advance in understanding tsunami processes, specifically for large subduction seismic events.

Nevertheless, since 2015, several tsunamigenic events have occurred worldwide, involving megathrust events (e.g. Mw 8.3, Illapel 2015), crustal events (Mw 8.1, Kaikoura 2016), mixed earthquake-landslides events (Palu 2018), or volcanic eruptions (Anak Krakatau 2018), generating “unexpected” tsunamis in some cases. Indeed, some of these were contradictory and thus opened new research tracks towards a new understanding of the tsunamigenic processes. In addition, the study of these events and of relatively smaller events like the ones that occurred in the Mediterranean Sea (e.g. Mw 7.0, Samos 2020) contributed and are still contributing to inform the current tsunami hazard models and enhance the tsunami warning systems.

This special issue aims at collecting papers about tsunami science in a broader sense, promoting a multidisciplinary approach in the study of this natural phenomenon and focusing on

• tsunamigenic source processes (earthquakes, landslides, volcanic eruptions, or atmospheric disturbances);
• geological and geophysical characterization of tsunami sources;
• numerical modelling (e.g., tsunami generation and propagation, dynamic seismic rupture simulations);
• experimental modelling and analysis (e.g. material properties of incoming sediments to the trench);
• reconstruction of historical tsunamigenic events;
• tsunami hazard, vulnerability, and risk assessment;
• tsunami early warning.

A special welcome is extended to multidisciplinary contributions covering any of the aforementioned aspects, encompassing field data, geophysical models, regional hazard studies, observation databases, numerical and experimental modelling, risk studies, real-time networks, operational tools, and procedures towards a most efficient warning.

Extreme hydrometeorological and geomorphological events account for 45 % of the fatalities and 79 % of the economic losses caused by natural hazards. Exacerbated by high seismic activity, rugged terrain such as the Himalayan landscape is particularly susceptible to generating these events, which often transform into cascading hazards where an initial event causes a downstream chain reaction (Shugar et al., 2021). These hazards interfere with increasing population pressure and expansion of settlements along rivers and new infrastructure developments such as roads and hydropower projects. Rising temperatures and changes in weather patterns in the wake of global warming likely elevate risks from hazards such as landslides, glacial lake outburst floods, riverine, and flash floods (Kraaijenbrink et al., 2017). The complexity of these hazards and their underlying processes demand scientific efforts and approaches from multiple disciplines.

The proposed special issue aims to compile recent research that estimates and predicts natural hazards and risks in the Himalayan region. We encourage research submissions that report hydro-geophysical modelling, innovative data-analysis approaches, remote sensing, and risk assessment. Multi- and transdisciplinary approaches are particularly welcome. Interdisciplinary and international collaborative efforts enhance scientific discovery, and multidisciplinary research is limited despite the clear benefits. With the envisaged special issue, we further aim to amalgamate expertise, methods, and data of several research articles to advance the understanding of the impacts and changes in the extremely high mountain landscape. Our goal is to attract articles from hydro-geophysical modelling, innovative data approaches, remote-sensing-based observations, and risk/vulnerability assessment.

Initiated by the German research project ClimXtreme (https://climxtreme.net/index.php), but open to all relevant submissions, the objective of the inter-journal special issue "Past and future European atmospheric extreme events under climate change" is to compile research results and recent advances in research exploring if and how extreme weather events have changed in the past, and what is to be expected under future climate scenarios. The time span covers the past and present centuries. Foci are physical mechanisms, statistical assessments, and impact-prone processes. Research on physical mechanisms addresses understanding the relationship between the extreme events' occurrence and severity and their spatial and temporal environment, exploring how climate change influences their generation processes in the past and a prospective future. Statistical approaches related to data science make use of large heterogeneous observational and model output data, of both the past and future, or advanced statistical methods, such as attribution research. Impact-related research investigates factors modifying the relation of the extreme meteorological conditions and the outcome in terms of damage, as pre-conditioning mechanisms can change the resilience of society and ecosystems against extremes. Compound meteorological events can lead to damage with a combination of relatively weak extremes. The regional focus is on continental Europe and its marginal seas, including the Atlantic and Arctic regions as important interacting parts of the climate system. Authors are advised to choose the most appropriate journal for their papers, which in this inter-journal special issue are Hydrology and Earth System Sciences (HESS), Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO), and Weather and Climate Dynamics (WCD).

The rise in the global population, the effects of climate change, and the growing urbanization in regions prone to natural hazards are some of the factors contributing to the exponential increase in the economic and human losses due to natural hazards. In response to this global challenge, several international agendas such as the Sendai Framework for Disaster Risk Reduction, the United Nations 17 Sustainable Development Goals, and the Paris Climate Agreement specifically demand a better understanding of disaster risk and impose specific risk reduction targets for the upcoming decades. Yet understanding, quantifying, and monitoring risk remain a challenge, particularly in areas where traditional risk data are limited. In the last decade, scientists, risk modellers, and data analysts have explored cutting-edge technologies such as artificial intelligence and data sources with unprecedented detail and spatial resolution to improve the reliability, accuracy, and geographical coverage of disaster risk assessment studies. The huge rise in popularity of these methods also comes with potential risks. This special issue fills an urgent need to properly understand the potential for AI and machine learning in the field of disaster risk analysis, communicate potential pitfalls and limitations, and provide examples of best practice. This special issue presents some of the recent advances and applications of machine learning in natural hazards risk assessment, covering the following topics:

• exposure data collection and automatic building classification;
• risk mapping and damage assessment;
• development of hazard intensity and vulnerability models;
• monitoring population and urban growth;
• post-disaster damage and loss detection;
• modelling of socio-economic vulnerability;
• when to use AI or machine learning vs. when to use conventional disaster risk analysis models;
• data, models, uncertainty, and performance metrics;
• ethical considerations in the use of AI for disaster risk modelling.

Tsunamis can produce catastrophic damage on vulnerable coastlines, following major earthquakes, landslides, volcanic eruptions, or atmospheric disturbances. In the last 15-20 years tsunami science has assumed an essential role within the geophysics community. In past years, the previous special issues on tsunamis focused on relevant topics also motivated by the two most significant events that have occurred in the instrumental era, which are the 2004 Sumatra-Andaman (Mw 9.2) and the 2011 Japan (Mw 9.0) earthquakes and tsunamis. These events triggered many studies and allowed a significant advance in understanding tsunami processes, specifically for large subduction seismic events.

Nevertheless, since 2015, several tsunamigenic events have occurred worldwide, involving megathrust events (e.g. Mw 8.3, Illapel 2015), crustal events (Mw 8.1, Kaikoura 2016), mixed earthquake-landslides events (Palu 2018), or volcanic eruptions (Anak Krakatau 2018), generating “unexpected” tsunamis in some cases. Indeed, some of these were contradictory and thus opened new research tracks towards a new understanding of the tsunamigenic processes. In addition, the study of these events and of relatively smaller events like the ones that occurred in the Mediterranean Sea (e.g. Mw 7.0, Samos 2020) contributed and are still contributing to inform the current tsunami hazard models and enhance the tsunami warning systems.

This special issue aims at collecting papers about tsunami science in a broader sense, promoting a multidisciplinary approach in the study of this natural phenomenon and focusing on

• tsunamigenic source processes (earthquakes, landslides, volcanic eruptions, or atmospheric disturbances);
• geological and geophysical characterization of tsunami sources;
• numerical modelling (e.g., tsunami generation and propagation, dynamic seismic rupture simulations);
• experimental modelling and analysis (e.g. material properties of incoming sediments to the trench);
• reconstruction of historical tsunamigenic events;
• tsunami hazard, vulnerability, and risk assessment;
• tsunami early warning.

A special welcome is extended to multidisciplinary contributions covering any of the aforementioned aspects, encompassing field data, geophysical models, regional hazard studies, observation databases, numerical and experimental modelling, risk studies, real-time networks, operational tools, and procedures towards a most efficient warning.

In the past decades, the risk to society due to natural hazards has increased around the globe. The Andes region is particularly exposed to natural hazards like earthquakes, tsunamis, flooding, landslides, volcanic activity, forest fires, and others. To mitigate these threats, effective risk management is indispensable, for which reliable and up-to-date information is essential. The complex relationships between multiple and consecutive natural hazards, the exposed population, a dynamic vulnerability, and critical infrastructures lead to cascading effects which are often not considered. Furthermore, the assessment, quantification, and propagation of intrinsic and epistemic uncertainty are mostly not considered. This can lead to inadequate or even misleading risk management strategies, thus hindering efficient prevention and mitigation measures, and ultimately undermining the resilience of societies.

The special issue aims at making a significant contribution to single-hazard and multi-hazard risk assessment, including exposure and dynamic vulnerability, and progressing towards the analysis of cascading effects. Specific topics of this special issue include, but are not limited to,

• new methods and techniques for (multi-)hazard scenarios, exposure, and vulnerability modelling;
• new methods and techniques for impact assessment, cascading effects, and loss estimation;
• design, development, and implementation of tools for the analysis of multi-risks;
• analysis and development towards practical applications for stakeholders and decision makers.

The special issue asks for contributions that address countries of the Andes region. Submissions for all manuscript types such as research articles, review articles, and brief communications are welcome.

The special issue will collect contributions from the scientific abstracts submitted to vEGU 2021 in the NH4.1 session "Earthquake-induced hazards: ground motion amplification and ground failures". Nevertheless, it is open to other submissions that are consistent with the topic of the EGU session. Generally, the main concern of the occurrence of an earthquake is ground shaking, although past events worldwide demonstrated that damage and death toll depend on both the strong ground motion and the ground effects. The variability of earthquake ground motion is caused by local geological conditions beneath a given site, due to the stratigraphic or topographic setting, that can give rise to amplification and resonances. Earthquake-induced ground effects are mainly landslides, soil liquefaction, surface faulting, and ground subsidence. They can affect an area with damage related to the full collapse or loss in functionality of facilities, roads, pipelines, and other lifelines.

One of the main interesting points of the special issue is that the topic of earthquake-induced hazards is observed with a multidisciplinary point of view, including different processes that are frequently analysed independently, although they are all tightly linked together. Moreover, the special issue will offer the opportunity to join scientific communities that rarely share their knowledge and results.

Specific topics of the special issue are

• subsoil investigation and characterization for seismic microzonation mapping,
• evaluation of seismic site response (1D, 2D, 3D),
• case histories of earthquake-triggered landslides analysed at either the local or regional scale,
• slope stability analyses and runout modelling of seismically/volcanically induced landslides, and
• studies on soil liquefaction and earthquake-induced subsidence.

Flood forecasting and early warning have long played an important role in disaster risk reduction. Accurate flood forecasting, effective early warning, and proper responses enabled by actionable risk information are key to reducing potential flood damages and disruptions to properties, assets, the natural environment, and the normal functioning of the society. Over the past decades, significant advances have been made in these areas, owing to the increased availability of data, computational resources, and digital technology. However, challenges remain in many aspects.

This special issue aims to solicit contributions from different disciplines in the broad field of flood forecasting, early warning, and risk communication to exchange new knowledge, recent advances, and best practices from the perspectives of researchers, industry, and government organizations. Specific topics of this special issue will cover, but are not limited to

• new and emerging flood forecasting methods and techniques for fluvial, pluvial, coastal, and groundwater flooding at various scales;
• uncertainties in flood forecasting and mitigating methods;
• flood forecasting and early warning under deep uncertainties;
• forecasting and warning of flood-related perils such as landslides and debris flow;
• advances in flood warning and risk communication;
• new methods, tools, and techniques for communicating flood risks;
• advances in risk evaluation;
• flood warning based on strategic and operational responses.

Theoretical, methodological, and applied research in the field is encouraged. Submissions for all manuscript types such as commentaries, review articles, and research papers are welcome.

Coastal cities are hotspots of risks related to natural hazards. Already today, many of these cities face high economic and non-economic losses from disasters and creeping environmental changes. However, risks in coastal cities are expected to rise even further, fuelled by the interplay of two global mega-trends: climate change and continued coastal urbanization. The question of how to adapt cities to the hazards of the future is therefore of great concern – not only for scientists, but also for policy makers and risk practitioners. The relevance of this question even increases when considering the central role of coastal cities in economies and societies at the global scale, for instance, in terms of trade, transport, and culture.

However, a number of important scientific knowledge gaps persist with regards to risk assessment and adaptation analysis in coastal cities. While the assessment of future risk trends in these cities is predominantly focused on scenarios of future hazards (sea level rise, floods, typhoons, etc.), scenarios of socio-economic changes and hence future trends in exposure and vulnerability are typically not part of the picture due to a lack either of awareness or adequate methods and data. This lack is significant and leads to potentially flawed and imprecise assessments of future risk trends and eventually adaptation needs. Secondly, knowledge on the feasibility of different – often competing – adaptation options remains thin. It is too often based on a reductionist set of evaluation criteria, e.g. economic costs and benefits, and a view towards singular adaptation measures, e.g. hard coastal protection. Integrative and comparative assessments that evaluate different adaptation options (e.g. retreat vs. flood accommodation) against a wider set of criteria such as social acceptance or political feasibility are still poorly developed. Thirdly, scientific engagement with coastal urban risk too often remains within siloes of different disciplines (engineering, sociology, economics, planning, etc.). This hampers interdisciplinary assessments and leads to significant blind spots, e.g. with respect to private sector adaptation or collective action for adaptation across different groups of actors.

The special issue aims at making a significant contribution towards closing these knowledge gaps. It is open to theoretical, methodological, and empirical contributions and will combine a mixture of research articles, review articles, and brief communications. Submissions for all these manuscript types are therefore welcome. Both local case studies from across the globe as well as regional- or and global-level perspectives are invited. The special issue is particularly interested in contributions that draw on combined perspectives from different disciplines. A particular focus will be on coastal cities with high growth dynamics and adaptation pressure, as can be observed in many transition economies of Asia and Africa.

Extreme hydro-meteorological events (e.g., storms, storm surges, floods, extreme waves, marine heatwaves) have caused serious damage to society and infrastructures at coastal areas during the past decades. The continued growth in commerce, infrastructure, and population and the impacts of climate change on coastal hazards are all contributing to an increase in the risk associated with living and working at the coast. These extreme events are caused by interactions of large- and small-scale forcing mechanisms, sequences of weather anomalies, and non-linear combined atmosphere-wave-circulation-hydrologic-morphologic responses. They can cause tremendous economic losses at coastal areas, leading to substantial damage to infrastructure and ecosystems. It is, thus, important to gain improved scientific understanding on the physical drivers controlling such extreme events, their occurrence and frequency, and the resulting impact on coastal hazards. This gain in knowledge will allow the improvement of predictive skills at daily to decadal timescales. However, state-of-the-art numerical predictions and projections are not skilful enough yet for stakeholders, water managers, and policy makers. The full capabilities of hindcasting and predicting weather-driven extremes have not been realized yet due to systematic errors in the simulation of feedbacks between atmosphere, terrestrial, and oceanic systems, particularly for coastal areas, with enhanced difficulties in representing multiscale processes and discrepancies in the modelled physics.

This special issue deals with coastal hazards and hydro-meteorological extremes, tackling coastal impacts on a broad range of environmental and economic systems. The focus will be on physical hazard drivers and hydro-meteorological extreme events, identifying the key physical processes and/or model resolutions for resolving their interactions, as well as examining their predictability at multiple timescales. Considered topics include, but are not limited to, estuarine/deltaic dynamics, hydrologic controls on sediment supply and salinity intrusion, ecosystem responses and morphologic evolution under natural and anthropogenic changes, cascading/compounding effects of extremes, and resulting coastal impacts. Papers on modelling improvements for simulating and predicting extreme events and coastal hazards and assessing their socioeconomic impact are also encouraged.

Droughts are among the most damaging and least understood of all so-called natural hazards. Droughts often lead to long-lasting and cascading impacts on different sectors across multiple spatial scales. Because the impacts of drought are less direct and immediately visible than the impacts of events such as floods or storms, drought has, for a long time, received less attention in disaster research and risk reduction. The likelihood of such impacts, understood as drought risk, is caused by the combination of drought hazard, exposure, and a broad range of underlying vulnerability factors. To support the identification and planning of drought risk reduction, risk transfer, and adaptation options, information on the drivers, patterns, and dynamics of current and future drought risk is needed in all dimensions of drought hazard, exposure, and system vulnerability. We aim at soliciting contributions (commentaries, review articles, original research articles) for a special issue on drought vulnerability, risk, and impact assessments that aim to inform drought risk management, risk transfer, and adaptation policy and action in the context of global environmental change and societal transformation.

Papers may consider the following topics:

• drought vulnerability, risk, or impact assessments (qualitative, quantitative, or mixed-method approaches) for different sectors (e.g. agriculture, energy production, transportation, tourism) and systems (e.g. ecosystems), at different spatial (local to global) and/or temporal scales (past trends, current patterns, future scenarios);
• assessment and communication of uncertainties in drought risk assessments (and risk components);
• validation strategies of the outcomes of drought risk assessments (e.g. through loss and damage information or expert-based);
• validation of the utility of drought vulnerability, risk, and impact assessments for climate action, resilience-building, and (inter)national climate policy;
• emergent risks associated with droughts (including in the focus of compound hazards), the multiple interconnections that influence systemic drought risks, and the cascading effects of droughts;
• studies that aim to bridge the ``science to policy-action'' gap by providing science-based solutions to the international community, nations, and communities on how to build resilience.

A series of contributions will be drawn from the EGU2020: Sharing Geoscience Online session "Drought risk, vulnerability and impact assessment: achievements and future directions'' held on 8 May 2020; however, unsolicited contributions are also highly encouraged. The guest editors aim for diversity and balance in contributions and authors. We especially encourage researchers from developing countries, women, and underrepresented minorities to contribute to this special issue.

Fire is an essential feature of terrestrial ecosystems and plays an important role in the Earth system. Fires are regulated by climate, vegetation characteristics, and human activity and also feedback to them in multiple ways. For example, fires can shape vegetation composition and structure; adjust land carbon, nutrient, water, and energy cycles; change atmospheric composition, chemistry, and physics; and affect air quality and human health. Elevated fire activity in 2019 across the arctic, Amazon, and other regions underscores the urgency of a quantitative understanding of fire as an Earth system process that interacts with vegetation, climate, and humans. The EGU2020 B3.17 session on the role of fire in the Earth system received the most abstracts in the Biogeosciences division this year and was highly attended during the live chat. The abstracts cover several aspects of interactions between fire and the biosphere, atmosphere, and humans across various temporal and spatial scales using modelling, field and laboratory observations, and remote sensing. Given that the topic is highly interdisciplinary and overarching, we propose an inter-journal (ESD/BG/ACP/GMD/NHESS) special issue for this session with ESD as the lead journal, and we also encourage the submission of topic-related studies outside the EGU fire session. The special issue will bring together new advances in understanding the feedbacks and interactions between fire and other components of the Earth system at all temporal and spatial scales using various methods, including (1) impacts of fire on weather, climate, and atmospheric chemistry; (2) interactions between fire, the biogeochemical cycle, vegetation composition and structure, and land water and energy budgets; (3) influence of humans on fire and vice versa; (4) fire characteristics (e.g., fire duration, emission factor, emission height, smoke transport); (5) spatial and temporal changes of fires in the past, present, and future; (6) fire products and models, their validation, and error/bias assessment; and (7) analytical tools designed to enhance situational awareness among fire practitioners and early warning systems, addressing specific needs of operational fire behaviour modelling.