Towards drought impact-based forecasting in a multi-hazard context
نویسندگان
چکیده
The lives and livelihoods of people around the world are increasingly threatened by climate-related risks as climate change increases frequency severity high-impact weather. In turn, risk multiple hazards occurring simultaneously grows compound impacts become more likely. World Meteorological Organization (WMO) proposed use multi-hazard impact-based forecasting (IbF) to better anticipate reduce concurrent hazards, but yet, there few operational examples in humanitarian sector. Drought is particularly susceptible influences. However, challenges encountered development drought IbF systems – including poor understanding specific hazard-focused mandates raise important questions for feasibility envisioned WMO. With these mind, we propose an interim approach which real-time assessment dynamic vulnerability provides a context drought-based IbF. incorporation indicators account local effects non-drought whilst system facilitates effective intervention. will improve our events, enhance adoption sector, mitigate hazards.
منابع مشابه
mortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولAdapting the Multi-Desktop Paradigm Towards a Multi-Context Interface
Knowledge workers are typically processing multiple tasks in parallel. As humans can concentrate and work on but one task at a time, users have to switch between them. The required task switching causes a high cognitive load and decreases efficiency. To reduce the costs of these task switches, we have to find ways to cope with a multitude of dormant tasks the user might switch to again. The cha...
متن کاملDrought forecasting using stochastic models
Drought is a global phenomenon that occurs virtually in all landscapes causing significant damage both in natural environment and in human lives. Due to the random nature of contributing factors, occurrence and severity of droughts can be treated as stochastic in nature. Early indication of possible drought can help to set out drought mitigation strategies and measures in advance. Therefore dro...
متن کاملModel-based Hazard and Impact Analysis
Hazard and impact analysis is an indispensable task during the specification and development of safety-critical technical systems, and particularly of their software-intensive control parts. There is a lack of methods supporting an effective (reusable, automated) and integrated (cross-disciplinary) way to carry out such analyses.
متن کاملMulti-Context-Recurrent Neural Network for Load Forecasting
A recurrent neural network is studied in this paper. A multi–context–recurrent neural network is defined and trained with back propagation, and is then applied to the short–term energy load forecasting task. The idea is to predict a daily maximum load for an arbitrary month ahead. A multi–context–recurrent neural network model was simulated and trained with different training sets to predict th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Climate Risk Management
سال: 2022
ISSN: ['2212-0963']
DOI: https://doi.org/10.1016/j.crm.2022.100402