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Publish Date:
10 June 2020

The CREWS initiative was established in 2015 at the United Nations Climate Change Conference (COP21) as a financial mechanism to save lives and livelihoods through the expansion of early warning systems and services in Least Developed Countries and Small Island Developing States. Its three Implementing Partners are the World Meteorological Organization, the World Bank Group / Global Facility for Disaster Reduction and Recovery and the United Nations Office for Disaster...

Publish Date:
25 May 2020

This meeting formed part of the Climate Risk and Early Warning Systems Caribbean initiative - Strengthening Hydro-Meteorological and Early Warning Services - is a US$5.5 million regional project that seeks to strengthen and streamline capacity related to weather forecasting, hydrological services, multi-hazard impact-based forecasting and warnings and service delivery.

The meeting, held remotely because of the COVID-19 pandemic, came just ahead of the 2020 Atlantic hurricane season. It built on lessons learned...

Publish Date:
19 May 2020

The 2019 Annual Report of the Climate Risk & Early Warning Systems outlines the cooperative actions taken by WMO, The World Bank / GFDRR and UNDRR in the past year to save lives and livelihoods through the advancement of early warning systems with CREWS support. To date, the CREWS Trust Fund has delivered over US$ 43 million in project funding and mobilized an additional US$ 270 million from public...

Publish Date:
27 April 2020

An early to average onset, a late to average cessation, shorter dry spells at the beginning of the season and average dry spells towards...

Publish Date:
22 April 2020

Carbon dioxide levels at a key global observing station are about 26 percent higher than in 1970, whilst the average global temperature has increased by 0.86°C since then, and is 1.1°C warmer than the pre-industrial era.

global mean temperatureA new global mean temperature record is likely to occur in the next five-year period (2020-2024), according to multi-model climate predictions...