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Seasonal Forecasting and Predictions

The mission of the forecasting working group is to build a community and infrastructure of long range climate change forecasting.

Members

mdmcdonald Nguyen Ninh

Email address for group

seasonal-forecasting-and-predictions@m.resiliencesystem.org

The Role of Traditional Ecological Knowledge in the Disaster Risk Management Strategies of Island Communities in Cat Hai, Vietnam

cddjournal.org - Hoang Thi Bich Hop  Nguyen Huu Ninh  Le Thi Thu Hien
Received: 30 October 2016 / Accepted: 27 June 2017/ Published online: 10 July 2017
https://doi.org/10.18783/cddj.v002.i02.a03

Highlights

The residents of Cat Hai Island were able to preserve their traditional ecological knowledge (TEK) in predicting storms and floods.

Although TEK on storm and flood prediction was widely used by the residents, the knowledge was not integrated into the current disaster risk management (DRM) scheme of the island.

The DRM of the island can be improved by integrating relevant TEK.

Abstract

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GDACS - Orange Alert - Tropical Cyclone RAMMASUN-14 in China, Viet Nam, Philippines

                     

Japan Meteorological Agency - http://www.jma.go.jp/en/typh/

gdacs.org - July 14, 2014

Tropical Cyclone RAMMASUN-14 can have a medium humanitarian impact based on the Maximum sustained wind speed and the affected population and their vulnerability.

Updated: this report is based on advisory number 18.

  • Tropical Cyclone Hurricane/Typhoon > 74 mph (maximum wind speed of 167 km/h)
  • from 14/07/2014 00:00 UTC to 18:00
  • Population affected by Category 1 (120 km/h) wind speeds or higher is 35.6 million
  • Vulnerability: High

(CLICK HERE FOR ADDITIONAL INFORMATION)

CLICK HERE FOR ADDITIONAL INFORMATION FROM THE JOINT TYPHOON WARNING CENTER (JTWC)

CLICK HERE - GDACS Tropical Cyclones - Joint Research Centre

CLICK HERE - Tropical Cyclone Information - Japan Meteorological Agency

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Xe kẹt cứng nhiều ngày giữa đèo trắng tuyết

submitted by Nguyen Ninh

                   

vnexpress.net - 18/12/2013

Tuyết phủ trắng đèo Ô Quý Hồ (Lào Cai) mấy ngày nay khiến hàng trăm xe tải, xe khách kẹt cứng. Tài xế và hành khách trải qua những ngày khó quên trên núi tuyết.

Dòng xe ùn tắc trên đèo Ô Quý Hồ sáng 18/12. Kể từ khi Sapa xuất hiện mưa tuyết hôm 15/12, xe ôtô không thể di chuyển qua con đèo nối liền Sapa (Lào Cai) và tỉnh Lai Châu do lớp tuyết đóng dày từ mấy ngày trước và lớp băng hình thành khi tuyết tan khiến đường trơn trượt rất nguy hiểm.

(READ COMPLETE ARTICLE)

 

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Vietnam - Typhoon Haiyan Information

Cây đổ ở Hà Nội sau bão Haiyan
Ảnh hưởng của cơn bão Haiyan, Hà Nội từ đêm qua có mưa to và gió thổi mạnh
http://vnexpress.net/tin-tuc/thoi-su/cay-do-o-ha-noi-sau-bao-haiyan-2908333.html

Trực tiếp: Bão số 14 đã làm 13 người thiệt mạng
VOV.VN- Tại các địa phương ảnh hưởng của bão số 14 đã có 13 người chết và 81 người bị thương...
http://vov.vn/Doi-song/Truc-tiep-Sau-can-quet-Quang-Ninh-bao-huong-vao-Trung-Quoc/290460.vov

Tâm bão Haiyan đang ở địa đầu Móng Cái (Quảng Ninh)
http://tuoitre.vn/Chinh-tri-Xa-hoi/579503/tam-bao%C2%A0haiyan-dang-o-huyen-dia-dau-mong-cai-quang-ninh.html#ad-image-0

Haiyan makes landfall, weakens into depression
http://english.vov.vn/Society/Haiyan-makes-landfall-weakens-into-depression/266984.vov

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GDACS Red Alert - Super Typhoon Haiyan (Yolanda) in Laos, Viet Nam, Philippines, Palau

      

gdacs.org - November 7, 2013

 

Tropical Cyclone HAIYAN-13 can have a high humanitarian impact based on the Maximum sustained wind speed and the affected population and their vulnerability.

Updated: this report is based on advisory number 20.

  • Tropical Cyclone Hurricane/Typhoon > 150 mph (maximum wind speed of 315 km/h)
  • from 04/11/2013 00:00 UTC to 08/11/2013 00:00 UTC
  • Population affected by Category 1 (120 km/h) wind speeds or higher is 17.7 million
  • Vulnerability: High

 

(CLICK HERE FOR ADDITIONAL INFORMATION)

CLICK HERE FOR ADDITIONAL INFORMATION FROM THE JOINT TYPHOON WARNING CENTER (JTWC)

CLICK HERE - GDACS Tropical Cyclones - Joint Research Centre

CLICK HERE - Tropical Cyclone Information - Japan Meteorological Agency

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General Topic Tags: 
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Making Communities More Resilient to Climate-Induced Weather Disasters

submitted by Samuel Bendett

homelandsecuritynewswire.com - February 18, 2013

Mounting scientific evidence indicates climate change will lead to more frequent and intense extreme weather that affects larger areas and lasts longer. We can reduce the risk of weather-related disasters, however, with a variety of measures. Experts say that a good strategy should include a variety of actions such as communicating risk and transferring it through vehicles such as insurance, taking a multi-hazard management approach, linking local and global management, and taking an iterative approach as opposed to starting with a master plan.

(READ COMPLETE ARTICLE)

100 Million Will Die by 2030 if World Fails to Tackle Climate Change: Report

economictimes.indiatimes.com - Reuters
September 26, 2012

(CLICK ON "READ MORE" AT THE BOTTOM OF THIS POST FOR LINKS TO THE REPORT )

LONDON: More than 100 million people will die and global economic growth will be cut by 3.2 percent of gross domestic product (GDP) by 2030 if the world fails to tackle climate change, a report commissioned by 20 governments said on Wednesday.

As global average temperatures rise due to greenhouse gas emissions, the effects on the planet, such as melting ice caps, extreme weather, drought and rising sea levels, will threaten populations and livelihoods, said the report conducted by humanitarian organisation DARA.

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