Three Men Get Long Jail Sentences for Ruthless Killing of Elderly Jeweler in UK

first_imgTwo men have been sentenced for life while another person received a 16-year jail term for killing a 74-year-old jeweler in Leicester in January this year.Thomas Jervis, 24, and Charles Mcauley, 20, were both sentenced to life imprisonment at Birmingham Crown Court on Sept. 10 after being found guilty of killing Ramniklal Jogiya, who was abducted on his way back from his shop at Belgrave Road on Jan. 24, 2018. Jogiya was later found dead in a lane nearby.Jervis was ordered to serve a minimum of 33 years while Mcauley was ordered to serve a minimum of 30 years in prison. Callan Reeve, 20, who was found guilty of Jogiya’s manslaughter, was sentenced to 16 years in prison at the court hearing.The three, who had previously admitted to abduction and robbery of Jogiya, were convicted following a five-week trial at the same court which reached its conclusion on Aug. 8.The trial had heard how Jervis, of Enderby Road, Whetstone, Leicester; Mcauley, of Gooding Avenue, Leicester; and Reeve, of Biddle Road, Leicester, were part of a gang who had spent weeks planning to rob a safe at Jogiya’s jewelry shop.A fourth defendant, Javon Roach, 30, was acquitted of all charges.The court heard that the convicted murderers bundled Jogiya in a van and threw his mobile phone away, before torturing and beating him in an attempt to get the security codes for the alarm system and safe at his shop. The men wanted to steal gold jewelry worth £200,000 that was kept in the safe, the court was told, according to the BBC.A CCTV camera footage showed Jogiya locking up the shop and beginning his walk back to his house, while other images showed three men jumping out of a white transit van parked on Brandon Street and bundling him into a vehicle. Another footage showed that about 50 minutes later, a man dressed in a burka and pulling a shopping trolley entered Jogiya’s shop. This person was seen deactivating the shop alarm, going to the back of the shop where the safe was kept, and emerging a little while later, seemingly empty-handed.It was later discovered that, despite their meticulous planning, the gang had not realized that the safe was on a 12-hour time delay and so they could not break into the safe and collect the Asian gold inside it, the court was informed., a statement written by the victim’s family and read out by prosecutor James House conveyed what happened on the fatal night, Leicestershire Live reported. It said, “We were taken to Leicester Royal Infirmary and I was asked to identify my dad.“Nothing could prepare us for what we saw. So many thoughts were racing through our minds as what we did know was that he had suffered.“We could see terrible injuries on his face.”Jogiya suffered a total of 27 injuries, including broken ribs, wounds to his face, hands and arms, and died from a major brain injury caused by a severe assault to his head.“These men had planned to kidnap and rob Mr Jogiya, but it went tragically wrong. They launched a sustained and ferocious attack on Mr Jogiya which ultimately killed him,” DCI David Swift-Rollinson, the detective who led the investigation, said. Related ItemsLeicesterUnited Kingdomlast_img read more

How far out can we forecast the weather Scientists have a new

first_img“That was a revolutionary insight,” says Richard Rotunno, a meteorologist at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, who was not involved in the new study. If real, this 2-week descent into chaos would set a fundamental limit to the atmosphere’s predictability.Lorenz’s idea has been validated in theory. But until recently, global weather prediction models lacked the high resolution needed to test it by recreating the storm-forming processes driving the atmosphere’s chaos. Zhang hoped that the next generation of supercomputer-powered weather models, including those run by the European Centre for Medium-Range Weather Forecasts and the U.S. National Weather Service (NWS), would provide a credible test. Along with colleagues, he convinced the weather agencies to let them chew up expensive computing cycles running identical versions of several real-life weather events.Typically, weather models are fed observations from satellites, balloons, and other outposts, generating what are known as initial conditions. These renderings are far from perfect, and it’s difficult to know whether a model’s growing unreliability as it runs is due to its mismatch with reality or atmospheric chaos. Improving how these observations are sucked into computer models has played a big part in improving forecasts, and it has helped the European model outdo its competitors.The European model, like most of its peers, accounts for the remaining uncertainties in its initial conditions by running multiple versions of an event side by side, each with a slightly tweaked start, to come up with a consensus forecast. In Zhang’s experiments, he reduced this variation tenfold, essentially pretending that the model had a near-perfect view of the weather. He and his colleagues then ran the European model 120 times, with each run simulating 20 days, to recreate two large-scale weather events: a December 2015 cold snap in Northern Europe and June 2016 downpours in China. They also ran the cold snap using the next version of the U.S. Global Forecast System, which—barring another government shutdown—should deploy to forecasters next month.On both models, the renditions steadily diverged until—at the 2-week mark—they appeared wholly unrelated. In effect, the models’ forecasting skill fell to zero at that point. “It’s a very credible result,” says Eugenia Kalnay, a meteorologist at the University of Maryland in College Park who previously led the NWS’s modeling arm. Some researchers doubted Lorenz’s model, given that it lacked some important atmospheric features, she says, but this shows the underlying idea is sound. “It’s nice because it’s simple.”Two weeks may not be the absolute limit, Rotunno says. A similar exercise that ran last year on NCAR’s next-generation model found that the models started diverging between 2 weeks and 3 weeks. However, that model is not as battle-tested as the European gold standard, and the study could afford few runs, limiting its sample size. “At a practical level, they’re not going to issue those 3-week forecasts,” Rotunno says.Still, Zhang adds, it’s heartening to know that there’s room to improve on the gains of the last few decades. He saw those benefits firsthand last month when his airline suggested he rebook a flight to London 5 days in advance due to a potential snowstorm. He heeded the forecasters’ advice and had an enjoyable extra day in London. His original flight? Canceled.*Correction, 19 February, 12:55 p.m.: An earlier version of this story misstated the timing of the simulated cold snap and implied the U.S. model ran both weather events, rather than only one. Last month, as much of the United States shivered in Arctic cold, weather models predicted a seemingly implausible surge of balmy, springlike warmth. A week later, that unlikely forecast came true—testimony to the remarkable march of such models. Since the 1980s, they’ve added a new day of predictive power with each new decade. Today, the best forecasts run out to 10 days with real skill, leading meteorologists to wonder just how much further they can push useful forecasts.A new study suggests a humbling answer: another 4 or 5 days. In the regions of the world where most people live, the midlatitudes, “2 weeks is about right. It’s as close to be the ultimate limit as we can demonstrate,” says Fuqing Zhang, a meteorologist at Pennsylvania State University in State College who led the work, accepted for publication in the Journal of the Atmospheric Sciences.Forecasters must contend with the atmosphere’s turbulent flows, which nest and build on each other as they create clouds, power storms, and push forward cold fronts. A tiny disruption in one layer of turbulence can quickly snowball, infecting the next with its error. A 1969 paper by Massachusetts Institute of Technology mathematician and meteorologist Edward Lorenz introduced this dynamic, later dubbed the “butterfly effect.” His research showed that two nearly identical atmospheric models can diverge widely after 2 weeks because of an initial disturbance as minute as a butterfly flapping its wings. By Paul VoosenFeb. 14, 2019 , 9:30 AM Click to view the privacy policy. 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Scientists have a new answer Email Chaos from storms and other small-scale phenomena will likely limit weather forecasts to 2 weeks.last_img read more