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Record W2346306282 · doi:10.1002/wea.2730

Understanding the weather 2015

2016· article· en· W2346306282 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWeather · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMeteorologyEnvironmental scienceClimatologyGeographyGeology

Abstract

fetched live from OpenAlex

2015 was turning out to be an uneventful year of weather across the UK, but then along came a succession of late autumn and winter storms, ensuring that the year concluded in a quite extraordinary and at times devastating manner. As always though, global weather events made the headlines throughout, with a particularly strong El Niño probably stealing the show. This meeting, organised and chaired by Kirsty Burgess (Met Office), brought together a range of talks examining notable weather events and trends throughout 2015 in the UK, around the world, and in space. Jenny Rourke (Met Office) started by focussing on notable weather in the UK in 2015, primarily associated with the named storms from October to December. Around the world, January and February saw massive flooding in Malawi, and then Cyclone Pam caused devastation in Vanuatu in March. Summer across the northern hemisphere brought significant heatwaves to Pakistan, parts of Europe (including a new record July maximum temperature in the UK) and northwestern North America. Heatwaves continued into autumn in the western USA, with devastating wildfires breaking out. In late October, Hurricane Patricia became the strongest ever tropical cyclone recorded in the eastern Pacific Ocean. To conclude, two tropical cyclones made landfall in Yemen in early November, another unprecedented event. Weather in 2015 in the UK was summarised by Tim Legg (Met Office). After a relatively unremarkable year, the last 2 months stole the headlines. The ‘highlight’ of this is probably the 341.1mm of rain falling in a 24h period (1800–1800 utc; 4/5 December), a new record in the UK. In fact, many parts of the country recorded a rainfall deficit up to October, but the onset of the deluge in November and December meant 2015 ended up being the sixth wettest since 1910. December itself turned out to be the wettest and warmest on record for the UK, and was also the wettest and warmest calendar month relative to average ever recorded in the UK. Expanding from this, Capel Curig in Gwynedd saw 77% of its annual rainfall in the period 1 November–13 January. Staying with the theme of rainfall, we then visited Peru, with Rebecca Emerton (University of Reading/ECMWF) investigating how El Niño acts as an early indicator of flooding here. Studies of river flow across Peru over 110 years reveal that discharges are, on average, higher following an El Niño. When sea surface temperatures are at their highest in the far eastern Pacific, we find the strongest correlations with flood events in Peru, and the 2015/2016 El Niño was third strongest in this part of the Pacific. As El Niño is somewhat predictable, even at seasonal timescales, actions can be taken by the relevant authorities to mitigate against the effects of flooding. ECMWF forecast the development of a strong El Niño early in the year. Additionally, the seasonal forecast from ECMWF from November 2015 highlights the risk of well-above average rainfall in the region. The Global Flood Awareness System (GloFAS) also suggested a medium to high level of flooding across a range of catchments in Peru. Moving from flooding to fire, Mark Parrington (ECMWF) spoke about global fire activity and emissions in 2015. He introduced the Copernicus Atmospheric Monitoring Service (CAMS), an EU-funded programme for environmental monitoring. This initiative covers many environmental issues, including air quality, with wildfires contributing significant numbers of pollutants. He covered two case studies of wildfire from North America and Indonesia. The USA saw a record fire season, with more than 10 million acres burned, and there was well-above average fire activity in Canada too. Smoke plumes from these fires were transported as far as Western Europe and the Arctic, and carbon monoxide was sampled by numerous aircraft on transatlantic flights, and measurements generally correlated well with forecast models. Indonesia was also badly affected by wildfire, exacerbated by dry conditions brought on by El Niño, with the smoke and haze almost totally shrouding Kalimantan. More carbon dioxide was emitted by Indonesian fires in 2015 than Japan emits in an entire year. We then turned back to the UK for a closer look at one of the more memorable days of the summer. Nick Silkstone and Matthew Lewis (Met Office) described and explained the formation of three severe thunderstorms that broke out across northern England following on from a short but record-breaking heatwave on 1 July. The latest developments in radar capability as part of the Radar Renewal Project were highlighted, namely Doppler and Dual Polarisation radar, as well as how Aircraft Meteorological Data Relays (AMDARs; essentially vertical cross-sections of the atmosphere) and social media were used for nowcasting and post-event analysis. Each storm was unique and complex in its formation, and this talk highlighted how these new techniques could improve short-term forecasting in the future. Planet Earth certainly saw tropical storms aplenty in 2015, and Fernando Prates (ECMWF) took us on a worldwide round-up of events. The North Atlantic was quieter than average, but Fred became the first hurricane to directly impact Cape Verde. Hurricane Joaquín was the strongest October hurricane to affect the Bahamas since 1866. With El Niño playing a significant role, the East and Central Pacific had a particularly active year. In October, Hurricane Patricia became the strongest hurricane ever recorded in the Western Hemisphere, striking Mexico's coast as a category 5 storm. The Northwest Pacific also saw above-average activity, with Typhoon Soudelor heavily impacting Taiwan and eastern China. Cyclone Chapala became the longest-lived severe cyclone in the North Indian Ocean and was the first cyclone to strike Yemen. Finally, Cyclone Pam became the second strongest storm on record in the South Pacific and led to Vanuatu's worst natural disaster in March. Forecasting in the twenty-first century is no longer confined to Earth. Andrew Sibley (Met Office) took us through the highlights of the Space Weather year. Currently in Solar Cycle 24, we have had the lowest solar cycle, measured by the smoothed sunspot number, for 86 years. Together with research from a recent Royal Astronomical Society meeting, this raises questions about the strength of the next two solar cycles. Geomagnetic storms are known to have an impact on the national grid, aviation and satellite communications, but also generate aurorae. In 2015 there were two severe geomagnetic storms. It was shown how, with use of satellite data from the Lagrange 1 position, and models, we can predict the arrival of these high speed plasma cloud events into the Earth's magnetosphere. In both case studies, in March and June, the arrival time was earlier than forecast, but factoring the enormous distance, the shortage of data, and mind-blowing speeds involved, exact precision is difficult at present. Space weather forecasting is an area of science that continues to develop.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.251
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it