4.7 Article

Application of uncertain hurricane climate change projections to catastrophe risk models

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Environmental

Interpretation of the Knutson et al. (2020) hurricane projections, the impact on annual maximum wind-speed, and the role of uncertainty

Stephen Jewson

Summary: The study combines results from various studies to produce distributions of how tropical cyclone frequency and average intensity may change in the future. Three methods for simulating are tested, finding two consistent and one inconsistent. It is found that there are no future scenarios in which weak storms increase in frequency while very intense storms decrease in frequency.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2022)

Article Engineering, Environmental

Stochastic investigation of daily air temperature extremes from a global ground station network

Konstantinos-Georgios Glynis et al.

Summary: This study investigates the stochastic behavior of near-surface air temperature using the newly developed estimation tool of Knowable (K-)moments. Results suggest that average and minimum temperatures tend to increase, while overall the maximum temperature is slightly decreasing. The study highlights the importance of understanding temperature variability and extremes in the context of global warming and anthropogenic climate change discussions.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

Article Engineering, Environmental

Artificial neural network and multi-criteria decision-making models for flood simulation in GIS: Mazandaran Province, Iran

Ehsan Shahiri Tabarestani et al.

Summary: In this study, ANN and MABAC-WoE-AHP models were utilized to identify flood susceptible areas in Mazandaran province, Iran, showing good agreement in predicting flood-prone areas between the two models.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

Article Engineering, Environmental

Simulation of inundation caused by typhoon-induced probable maximum storm surge based on numerical modeling and observational data

Shi Xianwu et al.

Summary: This study introduces a method for calculating the range and depth of inundation caused by probable maximum storm surges, using a numerical storm surge model and historical records. The method was validated in the Fengxian District of Shanghai, showing severe flooding impacts with maximum depths exceeding 3 meters. The proposed method can serve as an effective tool for decision making in storm surge risk reduction practices in various coastal areas.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

Article Meteorology & Atmospheric Sciences

Tropical Cyclones and Climate Change Assessment: Part II: Projected Response to Anthropogenic Warming

Thomas Knutson et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2020)

Article Multidisciplinary Sciences

Generation of a global synthetic tropical cyclone hazard dataset using STORM

Nadia Bloemendaal et al.

SCIENTIFIC DATA (2020)

Article Water Resources

Impact of climate change on European winter and summer flood losses

Maximiliano Sassi et al.

ADVANCES IN WATER RESOURCES (2019)

Article Engineering, Environmental

Quantifying the sources of simulation uncertainty in natural catastrophe models

Jo Kaczmarska et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)

Article Meteorology & Atmospheric Sciences

An Environmentally Forced Tropical Cyclone Hazard Model

Chia-Ying Lee et al.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2018)

Article Geosciences, Multidisciplinary

Modelling clustering of natural hazard phenomena and the effect on re/insurance loss perspectives

S. Khare et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2015)

Article Meteorology & Atmospheric Sciences

The RMS TC-Rain Model

Juergen Grieser et al.

METEOROLOGISCHE ZEITSCHRIFT (2012)

Article Meteorology & Atmospheric Sciences

A Statistical Model of Tropical Cyclone Tracks in the Western North Pacific with ENSO-Dependent Cyclogenesis

Emmi Yonekura et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2011)

Article Meteorology & Atmospheric Sciences

Statistical modelling of North Atlantic tropical cyclone tracks

Timothy M. Hall et al.

TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY (2007)

Article Meteorology & Atmospheric Sciences

A statistical deterministic approach to hurricane risk assessment

K Emanuel et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2006)

Article Engineering, Civil

Synthetic tropical cyclone database

MK James et al.

JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE (2005)

Article Construction & Building Technology

Simulation of hurricane risk in the US using empirical track model

PJ Vickery et al.

JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2000)