There are nine games going on across three groups tonight. For all the latest, head to the Bbc Sport website. To Cricket And England Head Coach Brendon mccullum has been setting out his expectations as he prepares to take over all of Englands Cricket teams. Hes extended his contract by two years to take control of both the test and white Ball Squads. This week, hell be coaching the Test Team at the oval, where the series against Sri Lanka will conclude, and says the timing is now right to take on the two jobs. Over the last two years, it would have been nigh on impossible for anyone to do all three formats, and i think hence why, you know, we went down the split coaches route. Now, with this, with the schedule easing, i would say slightly easing, but easing enough, i think it gives you the ability to be able to have one person in the role. Just another line of cricket to bring you, also involving england, but for their white Ball Squad the captain of which, jos buttler, has been ruled out of the upcoming three Match T20 Series against australia, starting next week. Hes now also a doubt for the five one day internationals that follow. Buttler, whos 33, hasnt played since the T20 World Cup injune because of a calf injury. Its been announced that Phil Salt will step in to Captain England for the first time in the t20s, whilst Harry Brook is in line to step up, if needed, in the odis. World athletics has paid tribute to the ugandan Marathon Runner Rebecca cheptegei, whos died at the age of 33, saying she was a talented athlete with lots left to give. Cheptegei died in hospital after being brutally attacked by a former boyfriend on sunday. World Athletics President Sebastian Coe said, our sport has lost a talented athlete, adding. And the medals continue to stack up for Paralympics Gb in paris. Becky redfern made it third time lucky with gold in the Sbi3 100m Breaststroke final. Redfern, who is visually impaired, had finished second in the event at the past two paralympics, but is the current world champion. The 24 year old turned well ahead of her rivals and controlled her pace to win in one minute 16. 02 seconds. The youngest member of the Paralympics Gb team, 13 year old iona winnifrith, has won silver in the pool. The teenager was just a few seconds behind Gold Medallist Mariia pavlova, who finished with a World Record time. Winnifrith battled hard to take second place in the sb7 100m breaststroke. And on the track britains sammi kinghorn won Herfourth Medal of games. She took silver in the t53 400m, less than 2a hours after winning gold in the 100 metres last night. Alice tai has picked up her second Gold And Herfourth medal of the games. She recovered from a bad start in the Womens S8 50m freestyle to take the lead in the final ten metres, and then held on to win by half a body length. And thats all the sport for now. Poland have gone 2 0 up against scotland. It was robert leven off ski with a penalty. You can keep up to date with all of that on the sport website. You are watching the context. We are back with our weekly segment, ai decoded. Welcome to the programme. We have had a Summer Break from al decoded. But if, like me, you were on the british beaches, sheltering from The Rain, then maybe you were scanning your mobile Weather App to see if The Sun might ever reappear which got us thinking, what about al and the weather . How do you predict climate when its changing so fast . How do you process the incredible amount of computerised data that is now being generated . Well, you model it, and that is where ai is making huge advances. There is a Forecasting Revolution under way so accurate, says the guardian, and now in much more accessible format that very soon, governments Around The World will be able to save lives and protect livelihoods before extreme events even occur. We will hear from the team at Oxford University, who are filling in the Gaps with al and making it more readily available through cloud computing. Or about this from the eu . Destination earth, a digital copy of our planet, on which scientists are running complex simulations to predict natural phenomena. Ai combined with Climate Science powered by supercomputers a digital twin, if you will, that will help scientists predict the evolution of Climate Change. With me as ever, our regular Ai Commentator and and colleague stephanie hare. Also here in the studio, the very well known meteorologist florence rabier, Director General of the European Centre for medium Range Weather forecasts. And joining us on zoom, professor stephen belcher, Whos Chief of Science And Technology at the uk met office. Welcome to you all. Florence, we are going to start you and the earths digital twin that your team has built in collaboration with the ai industry. Lets give the viewers an idea of what it entails, and we can talk off the back. While. In simple terms, you are stimulating the Natural Phenomenon wow. What, putting it onto a digital twin of the earth . Putting it onto a digital twin of the earth . Yes, so a digital oint of of the earth . Yes, so a digital point of the of the earth . Yes, so a digital point of the earth of the earth . Yes, so a digital point of the earth because of the earth . Yes, so a digital| point of the earth because this is a model of everything that the earth is doing that we can predict through computing occasions. Its a model where all of our knowledge of the physics of the atmosphere in the Earth System is encompassed in that model. If the Computer Programme that we put on a supercomputer and we run it. But all of our knowledge is there about gravity, condensation, storms, etc. If the digital twin of the earth because its very accurate and it has a very High Resolution and its interactive. You can play a bit with it and simulate what if Scenarios. I play a bit with it and simulate what if Scenarios. Play a bit with it and simulate what if Scenarios. I imagine in times gone what if Scenarios. I imagine in times gone by. What if Scenarios. I imagine in times gone by, you what if Scenarios. I imagine in times gone by, you did what if Scenarios. I imagine in times gone by, you did that l what if Scenarios. I imagine in| times gone by, you did that at a local level, but were all interconnected, the world is a global environment. Our Weather Systems and activities are all connected. How does this enable you to improve the forecasting that you do . We you to improve the forecasting that you do . That you do . We do run these ulobal that you do . We do run these global models, that you do . We do run these global models, so that you do . We do run these global models, so its that you do . We do run these global models, so its really l global models, so its really across the whole world. If you want to know the weather in europe now, you have to know what happened in the us a few days ago and in the olympic atlantic and even the pacific. Its all interconnected, youre right, you have to start global and then refine at the local scale as well. But you really have to know whatever happens Around The World at any time in order to go further, and thats what weve been doing for about 50 years in collaborations with our member states. 35 countries in europe supporting this. Florence, is this uniquely european, oraround florence, is this uniquely european, or Around The World . There european, or Around The World . There are european, or Around The World . There are several models are the world. Because we are european, we are working in collaboration with 35 Meteorological Services in europe Stuff. Meteorological services in europe Stuff. Are you using historical europe Stuff. Are you using historical or europe Stuff. Are you using historical or live europe Stuff. Are you using historical or live data europe Stuff. Are you using historical or live data or historical or live data or both . Historical or live data or both . �. , historical or live data or both . ,. ,. Both . Both, usually the current data for the both . Both, usually the current data for the weather both . Both, usually the current data for the Weather Forecast. | data for the Weather Forecast. The model has seen the data before the first 12 hours. We go forward and combine again. The latest forecast is the latest data. Historically, weve used the data from the last Decade And Rolling like this. ~ �. ,. ,. , this. Weve got a reallife example. This. Weve got a reallife example. I this. Weve got a reallife example, i think this. Weve got a reallife example, i think the this. Weve got a reallife. Example, i think the recent typhoon, typhoon gaemi. One of the other lines that were looking at . The other lines that were looking at . Thats typically what we do looking at . Thats typically what we do is looking at . Thats typically what we do is a looking at . Thats typically what we do is a forecast, l looking at . Thats typically i what we do is a forecast, this typhoon had dire consequences with 100 people dead and millions affected. We predict the probabilities for what the weather will do, and all the tactical tracks we think the typhoon will take. Which one is the Ai Model . The re line which one is the Ai Model . The Grey Line is which one is the Ai Model . Tie Grey Line is physics based which one is the Ai Model . Ti2 Grey Line is physics based and the black line is the real observed tract. The blue, what you have is the best estimate that we had before ai. That Red One is the that we had before ai. That Red One is the ai . That we had before ai. That Red One is the al . The that we had before ai. That Red One is the al . The ai. That we had before ai. That Red One is the al . The al. Thatsl one is the al . The ai. Thats almost real one is the al . The ai. Thats almost Real Time. One is the al . The ai. Thats almost Real Time. It one is the al . The ai. Thats almost Real Time. It is almost Real Time. It is incredible, but you cantjudge everything on one case. Its true that they are about 25 more accurate. In particular, in terms of the typhoon, 20 worse i know you grew up in tornado valley. That is a made grew up in tornado valley. That is a made westford. Grew up in tornado valley. That is a made westford. North dakota is a made westford. North Dakota All The Way down to texas Dakota All The Way down to Texas I Dakota All The Way down to texas. I grew upjust outside chicago, texas. I grew upjust outside chicago, and routinely, we practice chicago, and routinely, we practice these drills as children. You get a little bit of warning, were talking seconds, to find the nearest abatement and get underground. Presumably, this could tell you what street to go to. Hot presumably, this could tell you what street to go to. What street to go to. Not at that sort what street to go to. Not at that sort of what street to go to. Not at that sort of scale what street to go to. Not at that sort of scale I What Street to go to. Not at that sort of scale i have. What street to go to. Not at | that sort of scale i have big expectations, that sort of scale i have big expectations, florence, that sort of scale i have big expectations, florence, but| expectations, florence, but its getting better and better all the time. It its getting better and better all the time. Lets speak to professor stephen belcher, Whos Chief of Science And Technology at the uk met office. Welcome to you. So far, weve talked about Weather Patterns globally Climate Change, mapping, evolution patterns. But how much more precise is it getting day to day due to technology . Getting daytoday due to technology . Technology . Its Worth Remembering Technology . Its Worth Remembering that technology . Its worth I Remembering that theres technology . Its Worth Remembering that theres always Pressure Remembering that theres always pressure to remembering that theres always pressure to increase remembering that theres always pressure to increase the pressure to increase the Accuracy Pressure to increase the Accuracy And Pressure to increase the Accuracy And Utility pressure to increase the Accuracy And Utility of i pressure to increase the Accuracy And Utility of Weather Forecasts Accuracy And Utility of Weather Forecasts. Todays Accuracy And Utility of Weather Forecasts. Todays great forecasts. Todays Great Example forecasts. Todays Great Example was forecasts. Todays Great Example was lots forecasts. Todays Great Example was lots of forecasts. Todays great| example was lots of rain forecasts. Todays Great Example was lots of rain here in the example was lots of rain here in the Southwest Example was lots of rain here in the southwest of example was lots of rain here in the southwest of england. I in the southwest of england. With in the southwest of england. With climate in the southwest of england. With Climate Change in the southwest of england. With Climate Change making| with Climate Change making extreme with Climate Change making extreme events with Climate Change making extreme events even with Climate Change making extreme events even morel extreme events even more extreme, extreme events even more extreme, were extreme events even morej extreme, were demanding extreme events even more extreme, were demanding that our forecasts extreme, were demanding that our forecasts get extreme, were demanding that our forecasts get better extreme, were demanding that our forecasts get better to our forecasts get better to help our forecasts get better to help us our forecasts get better to help us understand our forecasts get better to help us understand what l our forecasts get better to. Help us understand what the impact help us understand what the impact might help us understand what the impact might be. Help us understand what the impact might be. Also, help us understand what the impact might be. Also, We L help us understand what the. Impact might be. Also, we have new applications. Impact might be. Also, we have new applications. Just impact might be. Also, we have new applications. Just think new applications. Just think about new applications. Just think about the new applications. Just think about the Roll Out new applications. Just think about the Roll Out of about the Roll Out of renewables. About the Roll Out of renewables. This about the Roll Out of. Renewables. This means about the Roll Out of renewables. This means the weather renewables. This means the weather is renewables. This means the weather is the renewables. This means the weather is the fuel renewables. This means the weather is the fuel of renewables. This means the weather is the fuel of the I Weather is the fuel of The Future weather is the fuel of The Future. Understanding. Weather is the fuel of the i future. Understanding that weather is the fuel of The Future. 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To make them more accurate, we need more accurate, we need increased more accurate, we need increased lead more accurate, we need increased lead time, more accurate, we need increased lead time, warnings further increased lead time, warnings further ahead increased lead time, warnings further ahead of increased lead time, warnings further ahead of these increased lead time, warnings| further ahead of these events, but also further ahead of these events, but also finer further ahead of these events, but also finer detail further ahead of these events, but also finer detail further ahead of these events, but also finer Detail Justice. But also finer Detail Justice france but also finer Detail Justice france describing earlier. I but also finer Detail Justice france describing earlier. As florence. France describing earlier. As florence. Im france describing earlier. As florence. Im going to france describing earlier. As florence. Im going to put up as florence. Im going to put up an image about how accurate this can get. Heres an image of london you can all recognise. You can see the dome there. Tell us what were working on the left and the right. fit were working on the left and the riuht. � were working on the left and the right the right. At the met office, we complement the right. At the met office, we complement whats the right. At the met office, j we complement whats done the right. 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Produce here at the Met Officej and produce these forecasts at and produce these forecasts at a very and produce these forecasts at a very fine and produce these forecasts at a very fine level. And produce these forecasts at a very fine level. Its and produce these forecasts at a very fine level. Its another. A very fine level. Its another example a very fine level. Its another example of a very fine level. Its another example of how a very fine level. Its another example of how ai a very fine level. Its another example of how ai can a very fine level. Its another example of how ai can really change example of how ai can really change what example of how ai can really change what were example of how ai can really change what were doing example of how ai can really change what were doing in. Example of how ai can really. Change what were doing in the weather change what were doing in the weather world. Change what were doing in the weatherworld. [ change what were doing in the weather world. Weather world. I have a pract on my question weather world. I have a pract on my question for weather world. I have a pract on my question for you. On my question for you. Sometimes when im standing in london, i will consult the met Office App and it will say that its sunny, and im being rained on. Why is that happening . Second, how Orwhen Willi happening . Second, How Orwhen will i be able to send data to you saying no, its raining here . ,. ,. ,. , here . You can send data to us riaht here . You can send data to us right now here . You can send data to us right now. Its here . You can send data to us right now. Its called here . You can send data to us right now. Its called weatherl right now. Its called weather on the right now. Its called weather on the web right now. Its called weather on the web, right now. Its called weather on the web, the right now. Its called weather on the web, the wow right now. 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I think in terms of weather used to produce this. I think. In terms of Weather Forecasts, lets in terms of Weather Forecasts, lets not in terms of Weather Forecasts, lets not forget in terms of Weather Forecasts, lets not forget over in terms of Weather Forecasts, lets not forget over the in terms of Weather Forecasts, lets not forget over the last. Lets not forget over the last 50 years. Lets not forget over the last 50 years, through lets not forget over the last 50 years, through the lets not forget over the lastl 50 years, through the advent lets not forget over the last 50 years, through the advent of satellite 50 years, through the advent of Satellite Observations 50 years, through the advent of Satellite Observations and Satellite Observations and Others Satellite observations and others around Satellite Observations and others around the Satellite Observations and others Around The World, i Satellite Observations and i others Around The World, the improvement others Around The World, the improvement of others Around The World, the improvement of the others Around The World, the improvement of the modelsl others Around The World, the improvement of the models that florence improvement of the models that florence was improvement of the models that florence was describing improvement of the models that florence was describing in improvement of the models that florence was describing in the l florence was describing in the increased florence was describing in the increased scale florence was describing in the increased scale of increased scale of supercomputers i increased scale of. Supercomputers that increased scale of supercomputers that weve increased scale of supercomputers that weve got, these supercomputers that weve got, these physics based supercomputers that weve got, these Physics Based Models these Physics Based Models weve these Physics Based Models weve got these Physics Based Models weve got improved these Physics Based Models weve got improved tremendously welt weve got improved tremendously wetl we weve got improved tremendously well. We describe weve got improved tremendously well. We describe the weve got improved tremendously well. We describe the weather well. We describe the Weather Forecast well. We describe the Weather Forecast improves well. We describe the Weather Forecast improves one well. We describe the Weather Forecast improves one day well. We describe the Weather Forecast improves one day for| well. We describe the Weatherl Forecast improves one day for a Decade Forecast improves one day for a decade so forecast improves one day for a decade. So the forecast improves one day for a decade. So the four day decade. So the four Day Forecast decade. So the four Day Forecast now decade. So the four Day Forecast now is decade. So the four Day Forecast now is as decade. So the four Day Forecast now is as good i decade. So the four day. Forecast now is as good as decade. So the four Day Forecast now is as good as the threeDay Forecast now is as good as the three Day Forecast forecast now is as good as the three Day Forecast ten forecast now is as good as the three Day Forecast ten years i three Day Forecast ten years ago three Day Forecast ten years ago this three Day Forecast ten years ago this is three Day Forecast ten years ago. This is often three Day Forecast ten years ago. This is often referred. Three Day Forecast ten yearsj ago. This is often referred to as the ago. This is often referred to as the quiet ago. This is often referred to as the quiet revolution. Ago. This is often referred tol as the quiet revolution. What ai as the quiet revolution. What ai is as the quiet revolution. What al is doing as the quiet revolution. What ai is doing is as the quiet revolution. What ai is doing is really ai is doing is really exhilarating ai is doing is really exhilarating that. Ai is doing is really exhilarating that revolution. Its exhilarating that revolution. Its attowed exhilarating that revolution. Its allowed revolution. Were going to see how this can be applied Around The World. Coming up after the break, well bring in the Climate Physicist who had just. Stay with us. Welcome back. We are warned repeatedly that Climate Change will affect millions of people worldwide. In fact, its already affecting lives and livelihoods, and particularly so in some of the poorest regions of the world where they dont have access to Real Time forecasting, or the vast Computer Power needed to produce it. Dr Shruti Nath is a Climate Scientist at Oxford University. Shes been working with the un World Food Programme to develop an Ai System that is pulling together all the data, current and historic, and applying that to localised areas. That information can now be condensed and shared through cloud computing, to help the governments and Aid Agencies better prepare for climate disasters. Lets bring in our guest dr Shruti Nath. Thank you very much for coming on the programme. There were some brilliant physicists like you in the Oxford University department. I want to better understand what the ai is doing to speed up the process of filling the Gaps. To speed up the process of filling the Gaps. Thank you for havin filling the Gaps. Thank you for having me filling the Gaps. Thank you for having me. At filling the Gaps. Thank you for having me. At oxford filling the Gaps. Thank you for| having me. At oxford physics, were exploring hybrid modelling approaches, so looking at how ai can best complement our existing weather models. As florence says, these have all the physical knowledge that weve accumulated since newton. Were complement and went with al, particularly at oxford. Were looking at rainfall particularly, and what were seeing is that when we take the best of the physical Weather Forecasts, take the best of the physical weatherforecasts, we take the best of the physical Weather Forecasts, we can really use ai as a Data Technique to create these structures that could arrive from incomplete representations to deliver more accurate rainfall forecasts. To deliver more accurate rainfall forecasts. How do you see ordinary rainfall forecasts. How do you see ordinary People Rainfall forecasts. How do you see ordinary people in rainfall forecasts. How do you see ordinary people in the see ordinary people in the regions see ordinary people in the regions being able to access this very regions being able to access this very sophisticated high Power Technology that high Power Technology that youre high Power Technology that youre working high Power Technology that youre working with . HighPower Technology that youre working with . HighPower Technology that youre working with . Thats a very good youre working with . Thats a very good question youre working with . Thats a very good question and youre working with . Thats a j very good question and thats actually in my opinion one of the real strengths of ai. Its a very low cost, lightweight model of being able to represent very complex phenomena. So, we were mostly with other local meteorological body we work closely, and we developed the model with them. They actually run the Ai Models in house, and that means they can actually generate Weather Forecasts on a laptop. Mind you, thats a laptop compared to a supercomputer, which is what typically is used to predict forecasts. What typically is used to predict forecasts. Can you give us a realtime predict forecasts. Can you give us a realtime example . Predict forecasts. Can you give us a realtime example . Of. Us a realtime example . Of course. Us a Real Time example . Of course. We us a Real Time example . Qt course. We use it in us a Real Time example . Tt course. We use it in kenya. They update the forecast every day in kenya and the forecasts are also available on the website. The Website Name is quac. Net, and theyre updated every day. It really is a way of giving these people a bit more accessible Weather Forecasting. More accessible Weather Forecastina. , forecasting. Presumably, the breakthrough forecasting. Presumably, the breakthrough of forecasting. Presumably, the breakthrough of all forecasting. Presumably, the breakthrough of all this forecasting. Presumably, the breakthrough of all this is breakthrough of all this is that you can, if you know its coming in the forecast improves, the eight agencies can Aid Agencies can store forward the aid they need thats coming up. So often on our programmes, we say we cant get to these inaccessible areas. But now the Stuff will already be there because Weve Forecasted Whats coming. Exactly, so we particularly actually focus on linking research actions, so we work with linking these forecasts to anticipate a reaction. As you said, we can have these long range forecasts. What florence mentioned about how the weather is chaotic, theres a lot of possibilities that can arise. We have a lot of uncertainty and we need to actually generate a lot of different Weather Forecasts to explore that. What ai allows you to do this in a very low cost way. You can generate forecasted that explore the reaction in a. What we havent talked a lot about is Climate Change, and of course there are Climate Deniers out there, florence, that we must acknowledge. Im going to put a picture on screen. Do you remember this . This was a tornado that was coming up the florida panhandle, and there were questions about whether it might go to alabama and they got a sharpie out and actually drew it on the end, the trump administration. It tells you that it clearly is something that it clearly is something that people try to play with when we talk about Climate Change and what weather is going to do. Youre forecasts are so accurate and presumably with your digital between earth, you can predict how climate will evolve well into The Future. Climate will evolve well into The Future. ,. , The Future. Exactly, and we use The Future. Exactly, and we use the same The Future. Exactly, and we use the same model The Future. Exactly, and we use the same model to The Future. Exactly, and we use the same model to do The Future. Exactly, and we use the same model to do climate l the same model to do Climate Models as well. But its based on the same modelling. Also, we can document Climate Change, and thats what were doing with the Copernicus Programme from the eu. Going back from 1940 from the eu. Going back from 19ll0 and really depicting what the weather and climate have been doing every traveller from 1940 been doing every traveller from 19ll0 until now. Every hour. We have this picture of the earth and we can document how much the temperature has increased, the frequency of storms, etc. There is already this reality. We have enough information to know what has happened already. With these models, we could do a digital point of the climate as well and go forward in The Future. With different Scenarios of what will happen in the reduction of greenhouse gases, because it all depends how much we can use the amount of the Carbon Dioxide in particular. I have a question for all three of us have a question for all three of us. ~. Of us. Will have a minute let Sa Ou of us. Will have a minute let say you have of us. Will have a minute let say you have to of us. Will have a minute let say you have to be of us. Will have a minute let say you have to be quick is| of us. Will have a Minute Letl say you have to be quick is it true when say you have to be quick is it true when it say you have to be quick is it true when it comes say you have to be quick is it true when it comes to say you have to be quick is it true when it comes to whether ctimate true when it comes to whether climate Change And Biodiversity toss. Climate Change And Biodiversity toss. We climate Change And Biodiversity loss, we have to fix the climate loss, we have to fix the climate Change And Biodiversity probtem~ climate Change And Biodiversity problem. Do you feel theres a way for problem. Do you feel theres a way for Citizen Scientists to. Et way for Citizen Scientists to get back way for Citizen Scientists to get back into action and be submitting data to all of you scientists so that you can help us Fight Scientists so that you can help us fight these bigger problems . Stephen, 30 seconds left. Yeah, its a great stephen, 30 seconds left. Yeah, its a great shout stephen, 30 seconds left. Yeah, its a great shout and stephen, 30 seconds left. Yeah, its a great shout and as stephen, 30 seconds left. Yeah, its a great shout and as we its a great shout and as we talked its a great shout and as we talked about its a great shout and as we talked about earlier, its a great shout and as we talked about earlier, we its a great shout and as we i talked about earlier, we have the weather talked about earlier, we have the weather on talked about earlier, we have the weather on the talked about earlier, we have the weather on the web. Talked about earlier, we have the weather on the web. Itsl the weather on the web. Its another the weather on the web. Its another great the weather on the web. Its another great crowd the weather on the web. Itsl another great Crowd Sourcing Initiative another great Crowd Sourcing Initiative to another great Crowd Sourcing Initiative to look another great Crowd Sourcing Initiative to look at another great Crowd Sourcing Initiative to look at budding i initiative to look at Budding And Initiative to look at budding and early initiative to look at budding and early Sighting Initiative to look at budding and early sighting of initiative to look at buddingl and early sighting of insects around and early sighting of insects around the and early sighting of insects around the uk, and early sighting of insects around the uk, which and early sighting of insects around the uk, which weve| and early sighting of insects around the uk, which weve also connected around the uk, which weve also connected with around the uk, which weve also connected with climate around the uk, which weve also connected with climate Change L connected with Climate Change here connected with Climate Change here at connected with Climate Change here at the connected with Climate Change here at the met connected with Climate Change here at the met office connected with Climate Change here at the met office along. Here at the met office along with here at the met office along with any here at the met office along with any other here at the met office along with any other partner with any other partner organisations. With any other partner organisations. I with any other partner organisations. I thinkl with any other partner. Organisations. I think its with any other partner organisations. I think its a great organisations. I think its a great shout organisations. I think its a great shout for organisations. I think its a great shout for citizen great shout for citizen science, great shout for citizen science, this great shout for citizen science, this one. Great shout for citizen science, this one. I. Great shout for citizen science, this one. I could talk claymore. Science, this one. I could talk claymore. As science, this one. I could talk claymore. As i science, this one. I could talk claymore, as i always science, this one. I could talk claymore, as i always could. | science, this one. I could talk. Claymore, as i always could. We never get to the bottom of everything, but listen, stephen, florence, dr Shruti Nath, stephanie, thank you. All of our episodes are on youtube. Well do it again sometime next week. Well do it again same time next week. Hello there. Weve had a real mixture of weather across the Uk Today from the dry, sunny weather for West Scotland and Northern Ireland, where theres been barely a cloud in the sky, to the rather different looking skies across the South Of England and wales, with Heavy Rain moving in here. And, in fact, when The Rain arrived across the South Of England, it was really intense. Had 11l millimetres of rain recorded injust one hour in parts of kent and 12 into parts of hampshire. Thats half an inch of rain in the space of an hour. Rain that intense, im sure, would have led to some localised Surface Water Flooding. And the Weather Front responsible for that rain is going to stay across those areas all night. The rain, though, is likely to turn at least a little bit lighter for a time. Probably quite murky with a lot of low cloud around, some Hill Fog patches developing here. And across East Scotland and eastern areas of england, as the weather turns increasingly humid overnight, therell be thickening of the low cloud and also a bit of mist, fog and drizzle. So that takes us into friday. The same Weather Front is there, same area of low pressures there. Cant move anywhere because of this big area of high pressure blocking its progress, so instead, welljust have further prolonged outbreaks of rain across southern areas of england. And although The Rain starts off quite light, itll quite quickly turn heavy with some thunder mixed in. Again, there could be some Surface Water Flooding building in. East scotland, eastern areas of england, particularly where you start off with the low cloud, the mist, fog and drizzle, that will eventually clear out of the way for most and its going to be a warm and humid day. Temperatures widely 22 27 degrees celsius, but with further accumulations of rain across the South Of England, where we could be looking at some localised flooding issues. Now the same low pressure stays with us into the weekend, too, but it is weakening. And so, rather than persistent rain, were more likely to see showers. Those showers heavy and thundery and could pop up just about anywhere across england and wales. Scotland and Northern Ireland, meanwhile, stay dry with some sunny spells. Across england and wales. And again, its the North West of scotland and Northern Ireland that will probably stay dry, probably still with some spells of sunshine coming and going. Temperatures still for many of us, reaching the low 20s, which wont feel too bad. Weve got another low on the way for next week so it stays unsettled. Hello, im christian fraser. Youre watching the context on bbc news. Hunter biden arrived at Court Today and everybody expected this to be the Jury Selection to precede his criminal trial, but quite unexpectedly, his representatives informed the court that he was intending to change his plea. This one that is going to go very long and certainly not before the election, it may even have been next autumn before will be kept to a trial in this case. And, of course, Donald Trump wins in november, the first thing is going to do is tell the Department Ofjustice to dismiss the case. Joining me tonight are former chair of the democratic Committeejess Oconnell and Leon Emirali Pr advisor former ministerial aide. First, the latest headlines
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