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are the sole responsibility of the author(s) and do not necessarily reflect the views of FCDO or the Met Office, UK. Images: I-stock; Robert Powell, Paul Watkiss. Citation. Watkiss, P. and Cimato, F. (2021). Socio-Economic Benefits of the WISER Programme. Synthesis of Results. Published September

of climate information to assist policy makers in decision-making. • GFCS • Development Partners and Stakeholders 2. To organize workshop(s) to support ICPAC RCC Users in the access and use of the expanded products. 3. ICPAC to collaborate, as may be required, in the implementation of GFCS in the region

the National Meteorological and Hydrological Service(s) (NMHS), mainly hazardous forecasts and disseminates the information through their social media accounts. In addition, PRCS plans and implements DREF operations which rely on weather information (usually immediate), the most recent of which

of observations (o) and the dilution matrix (D) as estimated using the NAME model are known. The observations are in volume mixing ratios. The dilution matrix has units [s/m] and is calculated from the time-integrated air concentrations produced by the NAME model. The dilution matrix has t rows

the contributions that they could make to the NMHS See Sample Stakeholder Analysis Matrix in Annex 4. 3.3. Design and Define Phase During this phase, you decide on the structure or components of the strategic plan and select model(s) to use. • This is the “Where you want to be?” aspect of the strategic

by the 2030’s. Met Office will need to continue to invest research effort in understanding and prioritising observational needs, developing and evaluating new capabilities and exploring new methodologies for exploiting observational data. Informed by this knowledge, we will strengthen our national

information on the likelihood of above- or below- normal conditions. The thresholds used in the forecast summaries are defined below. Seasonal forecasts rely on the aspects of the global weather and climate system that are more predictable, such as tropical s ea-surface temperatures or the El Niño

(South Korea) 128 °E GOES-E (USA) 75 °W METEOR FY-3 S-NPP GPM FY-2 (China) 105 °E METEOSAT 2nd generation (EUMETSAT) 0° METOP METEOSAT-IO (EUMETSAT) 57.5 °E Electro-L (Russia) 76 °E INSAT (India) 82 °E FY-2 (China) 86.5 °E Figure 29. The current configuration of the meteorological satellite system

of this work package will be to drive user engagement and ensure that the software is fit for its defined purpose, first by requirements capture, then by defining suitably flexible code structures and related e-Infrastructure for users, ultimately supporting uptake of the new code(s). In order

., and Gray W.M. (2001). The recent increase in Atlantic hurricane activity: Causes and implications. Science, 293, 474–479. Jarvinen, B. R., Neumann, C. J., Davis, M. A. S. (1984). A tropical cyclone data tape for the North Atlantic Basin, 1886–1983: Contents, limitations, and uses. NOAA Tech. Memo