Current Status of Early Warning Systems for Severe Environmental Threats In The Polish National Meteorological Service.

Abstract. This paper focuses on the use of community-based early warning systems for flood resilience in Nepal. The first part of the work outlines the evolution and current status of these community-based systems, highlighting the limited lead times currently available for early warning. The second part of the paper focuses on the development of a robust operational flood forecasting methodology for use by the Nepal Department of Hydrology and Meteorology (DHM) to enhance early warning lead times. The methodology uses data-based physically interpretable time series models and data assimilation to generate probabilistic forecasts, which are presented in a simple visual tool. The approach is designed to work in situations of limited data availability with an emphasis on sustainability and appropriate technology. The successful application of the forecast methodology to the flood-prone Karnali River basin in western Nepal is outlined, increasing lead times from 2–3 to 7–8 h. The challenges faced in communicating probabilistic forecasts to the last mile of the existing community-based early warning systems across Nepal is discussed. The paper concludes with an assessment of the applicability of this approach in basins and countries beyond Karnali and Nepal and an overview of key lessons learnt from this initiative.

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Earthquake Early Warning Systems in Taiwan: Current Status

Journal of the Geological Society of India ◽

10.1007/s12594-021-1909-6 ◽

2021 ◽

Vol 97 (12) ◽

pp. 1525-1532

Author(s):

Yih-Min Wu ◽

Himanshu Mittal ◽

Da-Yi Chen ◽

Ting-Yu Hsu ◽

Pei-Yang Lin

Keyword(s):

Early Warning ◽

Early Warning Systems ◽

Earthquake Early Warning ◽

Current Status ◽

Warning Systems ◽

Earthquake Early Warning Systems

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Community Based Early Warning Systems for flood risk mitigation in Nepal

10.5194/nhess-2016-122 ◽

2016 ◽

Cited By ~ 1

Author(s):

Paul J. Smith ◽

Sarah Brown ◽

Sumit Dugar

Keyword(s):

Early Warning ◽

Flood Risk ◽

Risk Mitigation ◽

Early Warning Systems ◽

Current Status ◽

Lead Times ◽

Time Series Models ◽

Warning Systems ◽

Community Based ◽

Probabilistic Forecasts

Abstract. This paper focuses on the use of Community Based Early Warning Systems for flood risk mitigation in Nepal. The first part of the work outlines the evolution and current status of these community based systems. A significant ongoing challenge faced by Community Based Early Warning Systems in Nepal is the short lead times available for early warning. The second part of the paper therefore focuses on the development of a robust operational flood forecasting methodology for use by the Department for Hydrology and Meteorology (DHM), Government of Nepal to compliment the community based systems. The resulting methodology uses data based physically interpretable time series models and data assimilation to generate probabilistic forecasts. The paper concludes with an example application to a flood prone catchment (Karnali Basin) in western Nepal.

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The CARE Telematics Network for the Surveillance of Influenza in Europe

Methods of Information in Medicine ◽

10.1055/s-0038-1634617 ◽

1995 ◽

Vol 34 (05) ◽

pp. 518-522 ◽

Cited By ~ 13

Author(s):

M. Bensadon ◽

A. Strauss ◽

R. Snacken

Keyword(s):

Public Health ◽

Early Warning ◽

Early Warning Systems ◽

Warning Systems ◽

Surveillance Networks ◽

Spanish Flu ◽

The 1950S ◽

National Networks ◽

First Time

Abstract:Since the 1950s, national networks for the surveillance of influenza have been progressively implemented in several countries. New epidemiological arguments have triggered changes in order to increase the sensitivity of existent early warning systems and to strengthen the communications between European networks. The WHO project CARE Telematics, which collects clinical and virological data of nine national networks and sends useful information to public health administrations, is presented. From the results of the 1993-94 season, the benefits of the system are discussed. Though other telematics networks in this field already exist, it is the first time that virological data, absolutely essential for characterizing the type of an outbreak, are timely available by other countries. This argument will be decisive in case of occurrence of a new strain of virus (shift), such as the Spanish flu in 1918. Priorities are now to include other existing European surveillance networks.

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