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Microsoft Word - NEB_ll_2021
1, is produced by combining output from the Met Office GloSea5 dynamical forecast system with statistical predictions based on pre-season sea surface temperatures (SSTs) in the tropical Atlantic and Pacific. The methodology is described in Part 2. The GloSea5 contribution to this forecast for FMAM
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ukcp-climate-drifts-report.pdf
. These changes initially warmed the land over much of the Tropics and south and central Asia (see Fig. 5 top panel). The stronger warming over much of the Arctic and the initial reduction in the AMOC over the first 20 years suggests these are more complicated responses to that initial warming. It is also
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How Met Office forecasts supported the UK through a largely dry Spring
as the sixth driest. However, the season had fewer instances of severe weather, with a subsequent decrease in warnings from previous months. So just how did the Met Office forecast develop and how was it used? We take a look… Light on warnings but not on some impacts Spring can typically be a season
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distillation_workshop_reportpdf
to the surface the issues around communicating a ‘deterministic’ forecast. Many extension officers simply communicated that the season would be ‘wet’ and therefore the farmers should invest in crops. One particular group misunderstood the forecast, and farmers interpreted the 40% chance of ‘wet’ as being a 60
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distillation_workshop_report.pdf
to the surface the issues around communicating a ‘deterministic’ forecast. Many extension officers simply communicated that the season would be ‘wet’ and therefore the farmers should invest in crops. One particular group misunderstood the forecast, and farmers interpreted the 40% chance of ‘wet’ as being a 60
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wiser0065-scipea-impact-article_hydropower-0618.pdf
Powering up the forecasts East Africa has distinct wet and dry seasons, and accurately predicting the onset of its rains is vital for farms and businesses. Yet hydropower is equally reliant on accurate and timely forecasts – as an important climate partnership project recently demonstrated
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wiser0065-scipea-impact-article_hydropower-0618_2.pdf
Powering up the forecasts East Africa has distinct wet and dry seasons, and accurately predicting the onset of its rains is vital for farms and businesses. Yet hydropower is equally reliant on accurate and timely forecasts – as an important climate partnership project recently demonstrated
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ukcp-cmip5-downscaling-reportpdf
member of RCM-PPE that gives lower PSS values though). This is consistent with the large (and significant) cold and wet biases seen in the north of the UK in this model in this season (Figures 16 and 18). The nested CPM-MRI reduces the contribution to the total rainfall from days with high rainfall
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ukcp-cmip5-downscaling-report.pdf
member of RCM-PPE that gives lower PSS values though). This is consistent with the large (and significant) cold and wet biases seen in the north of the UK in this model in this season (Figures 16 and 18). The nested CPM-MRI reduces the contribution to the total rainfall from days with high rainfall
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north-west-england--isle-of-man_-climate-met-office.pdf
that falls in these seasons. In summer, convection caused by solar surface heating sometimes forms shower clouds and a large proportion of rain falls from showers and thunderstorms then. A further factor that greatly affects the rainfall distribution is altitude. Moist air that is forced to ascend hills