APPLICATE General Assembly and Early Career Science event

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On 28th January to 1st February I attended the APPLICATE (Advanced Prediction in Polar regions and beyond: modelling, observing system design and LInkages associated with a Changing Arctic climaTE (bold choice)) General Assembly and Early Career Science event at ECMWF in Reading. APPLICATE is one of the EU Horizon 2020 projects with the aim of improving weather and climate prediction in the polar regions. The Arctic is a region of rapid change, with decreases in sea ice extent (Stroeve et al., 2012) and changes to ecosystems (Post et al., 2009). These changes are leading to increased interest in the Arctic for business opportunities such as the opening of shipping routes (Aksenov et al., 2017). There is also a lot of current work being done on the link between changes in the Arctic and mid-latitude weather (Cohen et al., 2014), however there is still much uncertainty. These changes could have large impacts on human life, therefore there needs to be a concerted scientific effort to develop our understanding of Arctic processes and how this links to the mid-latitudes. This is the gap that APPLICATE aims to fill.

The overarching goal of APPLICATE is to develop enhanced predictive capacity for weather and climate in the Arctic and beyond, and to determine the influence of Arctic climate change on Northern Hemisphere mid-latitudes, for the benefit of policy makers, businesses and society.

APPLICATE Goals & Objectives

Attending the General Assembly was a great opportunity to get an insight into how large scientific projects work. The project is made up of different work packages each with a different focus. Within these work packages there are then a set of specific tasks and deliverables spread out throughout the project. At the GA there were a number of breakout sessions where the progress of the working groups was discussed. It was interesting to see how these discussions worked and how issues, such as the delay in CMIP6 experiments, are handled. The General Assembly also allows the different work packages to communicate with each other to plan ahead, and for results to be shared.

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An overview of APPLICATE’s management structure take from: https://applicate.eu/about-the-project/project-structure-and-governance

One of the big questions APPLICATE is trying to address is the link between Arctic sea-ice and the Northern Hemisphere mid-latitudes. Many of the presentations covered different aspects of this, such as how including Arctic observations in forecasts affects their skill over Eurasia. There were also initial results from some of the Polar Amplification (PA)MIP experiments, a project that APPLICATE has helped coordinate.

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Attendees of the Early Career Science event co-organised with APECS

At the end of the week there was the Early Career Science Event which consisted of a number of talks on more soft skills. One of the most interesting activities was based around engaging with stakeholders. To try and understand the different needs of a variety of stakeholders in the Arctic (from local communities to shipping companies) we had to try and lobby for different policies on their behalf. This was also a great chance to meet other early career scientists working in the field and get to know each other a bit more.

What a difference a day makes, heavy snow getting the ECMWF’s ducks in the polar spirit.

Email: sally.woodhouse@pgr.reading.ac.uk

References

Aksenov, Y. et al., 2017. On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. Marine Policy, 75, pp.300–317.

Cohen, J. et al., 2014. Recent Arctic amplification and extreme mid-latitude weather. Nature Geoscience, 7(9), pp.627–637.

Post, E. & Others, 24, 2009. Ecological Dynamics Across the Arctic Associated with Recent Climate Change. Science, 325(September), pp.1355–1358.

Stroeve, J.C. et al., 2012. Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations. Geophysical Research Letters, 39(16), pp.1–7.

Night at the Museum!

On Friday November 30th, Prof. Paul Williams and I ran a ‘pop-up science’ station at the Natural History Museum’s “Lates” event (these are held on the last Friday of each month; the museum is open for all until 10pm, with additional events and activities). Our station was entitled “Turbulence Ahead”, and focused on communicating research under two themes:

  1.  Improving the predictability of clear-air turbulence (CAT) for aviation
  2.  The impact of climate change on aviation, particularly in terms of increasing CAT

There were several other stations, all run by NERC-funded researchers. Our stall went ‘live’ at 6 PM, and from that point on we were speaking almost constantly for the next 3.5 hours – with hundreds (not an exaggeration!) of people coming to our stall to find out more. Neither of us were able to take much of a break, and I’ve never had quite such a sore voice!

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Turbulence ahead? Not on this Friday evening!

Our discussions covered:

  • What is clear-air turbulence (CAT) and why is it hazardous to aviation?
  • How do we predict CAT? How has Paul’s work improved this?
  • How is CAT predicted to change in the future? Why?
  • What other ways does climate change affect aviation?

Those who came to our stall asked some very intelligent questions, and neither of us encountered a ‘climate denier’ – since we were speaking about a very applied impact of climate change, this was heartening. This impact of climate change is not often considered – it’s not as obvious as heatwaves or melting ice, but is a very real threat as shown in recent studies (e.g. Storer et al. 2017). It was a challenge to explain some of these concepts to the general public – some had heard of the jet stream, others had not, whilst some were physicists… and even the director of the British Geological Survey, John Ludden, turned up! It was interesting to hear from so many people who were self-titled “nervous flyers” and deeply concerned about the future potential for more unpleasant journeys.

I found the evening very rewarding; it was interesting to gauge a perspective of how the public perceive a scientist and their work, and it was amazing to see so many curious minds wanting to find out more about subjects with which they are not so familiar.

My involvement with this event stems from my MMet dissertation work with Paul and Tom Frame looking at the North Atlantic jet stream. Changes in the jet stream have large impacts on transatlantic flights (Williams 2016) and the frequency and intensity of CAT. Meanwhile, Paul was a finalist for the 2018 NERC Impact Awards in the Societal Impact category for his work on improving turbulence forecasts – he finished as runner-up in the ceremony which was held on Monday December 3rd.

So, yes, there may indeed be turbulent times ahead – but this Friday evening certainly went smoothly!

Email: s.h.lee@pgr.reading.ac.uk

Twitter: @SimonLeeWx

References

Storer, L. N., P. D. Williams, and M. M. Joshi, 2017: Global Response of Clear-Air Turbulence to Climate Change. Geophys. Res. Lett., 44, 9979-9984, https://doi.org/10.1002/2017GL074618

Williams, P. D., 2016: Transatlantic flight times and climate change. Environ. Res. Lett., 11, 024008, https://doi.org/10.1088/1748-9326/11/2/024008.

Communicating uncertainties associated with anthropogenic climate change

Email: j.f.talib@pgr.reading.ac.uk

This week Prof. Ed Hawkins from the Department of Meteorology and NCAS-Climate gave a University of Reading public lecture discussing the science of climate change. A plethora of research was presented, all highlighting that humans are changing our climate. As scientists we can study the greenhouse effect in scientific labs, observe increasing temperatures across the majority of the planet, or simulate the impact of human actions on the Earth’s climate through using climate models.

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Figure 1. Global-mean surface temperature in observations (solid black line), and climate model simulations with (red shading) and without (blue shading) human actions. Shown during Prof. Ed Hawkins’ University of Reading Public Lecture.

Fig. 1, presented in Ed Hawkins’ lecture, shows the global mean temperature rise associated with human activities. Two sets of climate simulations have been performed to produce this plot. The first set, shown in blue, are simulations controlled solely by natural forcings, i.e. variations in radiation from the sun and volcanic eruptions. The second, shown in red, are simulations which include both natural forcing and forcing associated with greenhouse gas emissions from human activities. The shading indicates the spread amongst climate models, whilst the observed global-mean temperature is shown by the solid black line. From this plot it is evident that all climate models attribute the rising temperatures over the 20th and 21st century to human activity. Climate simulations without greenhouse gas emissions from human activity indicate a much smaller rise, if any, in global-mean temperature.

However, whilst there is much agreement amongst climate scientists and climate models that our planet is warming due to human activity, understanding the local impact of anthropogenic climate change contains its uncertainties.

For example, my PhD research aims to understand what controls the location and intensity of the Intertropical Convergence Zone. The Intertropical Convergence Zone is a discontinuous, zonal precipitation band in the tropics that migrates meridionally over the seasonal cycle (see Fig. 2). The Intertropical Convergence Zone is associated with wet and dry seasons over Africa, the development of the South Asian Monsoon and the life-cycle of tropical cyclones. However, currently our climate models struggle to simulate characteristics of the Intertropical Convergence Zone. This, alongside other issues, results in climate models differing in the response of tropical precipitation to anthropogenic climate change.

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Figure 2. Animation showing the seasonal cycle of the observed monthly-mean precipitation rates between 1979-2014.

Figure 3 is a plot taken from a report written by the Intergovernmental Panel on Climate Change (Climate Change 2013: The Physical Science Basis). Both maps show the projected change from climate model simulations in Northern Hemisphere winter precipitation between the years 2016 to 2035 (left) and 2081 to 2100 (right) relative to 1986 to 2005 under a scenario where minimal action is taken to limit greenhouse gas emissions (RCP8.5) . Whilst the projected changes in precipitation are an interesting topic in their own right, I’d like to draw your attention to the lines and dots annotated on each map. The lines indicate where the majority of climate models agree on a small change. The map on the left indicates that most climate models agree on small changes in precipitation over the majority of the globe over the next two decades. Dots, meanwhile, indicate where climate models agree on a substantial change in Northern Hemisphere winter precipitation. The plot on the right indicates that across the tropics there are substantial areas where models disagree on changes in tropical precipitation due to anthropogenic climate change. Over the majority of Africa, South America and the Maritime Continent, models disagree on the future of precipitation due to climate change.

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Figure 3. Changes in Northern Hemisphere Winter Precipitation between 2016 to 2035 (left) and 2081 to 2100 (right) relative to 1986 to 2005 under a scenario with minimal reduction in anthropogenic greenhouse gas emission. Taken from IPCC – Climate Change 2013: The Physical Science Basis.

How should scientists present these uncertainties?

I must confess that I am nowhere near an expert in communicating uncertainties, however I hope some of my thoughts will encourage a discussion amongst scientists and users of climate data. Here are some of the ideas I’ve picked up on during my PhD and thoughts associated with them:

  • Climate model average – Take the average amongst climate model simulations. With this method though you take the risk of smoothing out large positive and negative trends. The climate model average is also not a “true” projection of changes due to anthropogenic climate change.
  • Every climate model outcome – Show the range of climate model projections to the user. Here you face the risk of presenting the user with too much climate data. The user may also trust certain model outputs which suit their own agenda.
  • Storylines – This idea was first shown to me in a paper by Zappa, G. and Shepherd, T. G., (2017). You present a series of storylines in which you highlight the key processes that are associated with variability in the regional weather pattern of interest. Each change in the set of processes leads to a different climate model projection. However, once again, the user of the climate model data has to reach their own conclusion on which projection to take action on.
  • Probabilities with climate projections – Typically with short- and medium-range weather forecasts probabilities are used to support the user. These probabilities are generated by re-performing the simulations, each with either different initial conditions or a slight change in model physics, to see the percentage of simulations that agree on model output. However, with climate model simulations, it is slightly more difficult to associate probabilities with projections. How do you generate the probabilities? Climate models have similarities in the methods which they use to represent the physics of our atmosphere and therefore you don’t want the probabilities associated with each climate projection due to similarity amongst climate model set-up. You could base the probabilities on how well the climate model simulates the past, however just because a model simulates the past correctly, doesn’t mean it will correctly simulate the forcing in the future.

There is much more that can be said about communicating uncertainty among climate model projections – a challenge which will continue for several decades. As climate scientists we can sometimes fall into the trap on concentrating on uncertainties. We need to keep on presenting the work that we are confident about, to ensure that the right action is taken to mitigate against anthropogenic climate change.

It’s a #GlobalHeatwave

Email: s.h.lee@pgr.reading.ac.uk 

Sometimes a simple tweet on a Sunday evening can go a long way.

This summer’s persistent dry and warm weather in the UK has led to many comparisons to the summer of 1976, which saw a lethal combination of the warmest June-August mean maximum temperatures (per the Met Office record stretching back to 1910) and a record-breaking lack of rainfall (a measly 104.6 mm – since bested by 1995’s 103.0 mm –  compared with the record-wettest 384.4 mm in 1912). When combined with a hot summer the year before and a dry winter, water shortages were historic and the summer has become a benchmark to which all UK heatwaves are compared. So far, 2018 has set a new record for the driest first half of summer for the UK (a record stretching back to 1961) but it remains to be seen whether it will truly rival ’76.

All these comparisons made me wonder: what did global temperatures look like during the heatwave of 1976? Headlines have been filled with news of other heatwaves across the Northern Hemisphere, including in AfricaFinland and Japan. Was the UK heatwave in 1976 also part of a generally warm pattern?

So I had a look at the data using the plotting tool available on NASA’s Goddard Institute for Space Studies (GISS) site, and composed a relatively simple tweet which took off in a manner only fitting for a planet undergoing rapid warming:

At the time of writing, it’s been retweeted over 8,800 times in under 48 hours and featured as part of a Twitter Moment. Even Héctor Bellerín, a footballer for Arsenal, retweeted it!

Once the tweet had taken on a life of its own, I was also well aware of so-called “climate change deniers” (I don’t like the term, but it’s the best I can do) lurking out there, and I was somewhat apprehensive of what might get said. I’ve seen Paul Williams have many not-so-pleasant Twitter encounters on the subject of climate change. However, I was actually quite surprised. Aside from a few comments here and there from ‘deniers’ (usually focusing on fundamental misunderstandings of averaging periods and the interpolation used by NASA to deal with areas of low data coverage), the response was generally positive. People were shocked, frightened, moved…and thankful to have perhaps finally grasped what global warming meant.

I endeavoured to keep it cordial and scientific, as the issue is too big to make enemies over – we all need to work together to tackle the problem.

So, maybe now I have some idea how Ed Hawkins felt when his global warming spiral went viral and eventually ended up in the 2016 Olympics opening ceremony. I guess the biggest realisation for me is that, as a scientist, I’m familiar with graphics such as these showing the extent of global warming, but the wider public clearly aren’t – and that’s part of the reason I believe the tweet became so popular.

I can’t say that the 2018 UK heatwave is due to global warming. However, with unusually high temperatures present across the globe, it takes less significant weather patterns to produce significant heatwaves in the UK (and elsewhere). And with the jet streams that guide our weather systems already feeling the effects of climate change (something which I researched as an undergraduate), we can only expect more extremes in the future.

Royal Meteorology Conferences

From 3rd-6th July 2018 the Royal Meteorological Society (RMetS) held two national conferences at the University of York. The Atmospheric Science Conference, joint with NCAS, started off the week and brought together scientists to present and discuss the latest research findings in weather, climate and atmospheric chemistry. The following two days brought the RMetS Student Conference. Both events were well attended by PhD students from Reading and provided a great opportunity to share our work with the wider scientific community.

For a summary of the work presented by Reading students, stick around until the end of the blog!

Atmospheric Science Conference 2018

Weather, Climate and Air Quality

Many of the presentations focused on seasonal forecasting with Adam Scaife (Met Office) giving a keynote address on “Skilful Long Range Forecasts for Europe”. He presented an interesting analysis on the current progress of predicting the North Atlantic Oscillation showing that there is skill in current predictions which could be improved even further by increasing ensemble size. Adam was also awarded the prestigious Copernicus Medal at the conference dinner. Another notable talk was by Reading’s own Ed Hawkins, who presented the benefits of using citizen scientists to rescue weather records. A summary of Ed’s presentation can be accessed below, and you can read more about research involving Citizen Science in Shannon Jones’ blog.

The poster sessions at the conference also gave a great opportunity to look at the breadth of work going on in institutions around the UK. It was also a great time to catch up with colleagues and forge new academic connections.

One of the highlights of the conference was having the conference dinner in the National Railway Museum. This was a fantastic yet surreal location with dining tables set up in the station hall overlooking a suite of old steam trains . The event was made even better by watching England‘s quarter-final world cup game!

conference_dinner

Evolution of Science: Past, Present and Future

Students & Early Career Scientist Conference

The student conference is open to all students with an interest in meteorology, from undergraduate to PhD and early career scientists. The conference aimed to give students the opportunity to meet each other and present their work at an early stage in their career before attending other academic conferences. For many of those attending from Reading this was their first time presenting research at an event outside of the department and provided a great experience to communicate their work with others. Work presented varied from radiative forcing to normal empirical modes (summaries of talks are below). There were also a number of keynote speakers and workshops aimed at addressing the current challenges in atmospheric sciences and skills that are important for researchers.

student_workshop_1
Rory Fitzpatrick, presenting on skills for writing as an academic. “I have the Best Words” – How to write articles that impact bigly”

Of course there was also time for socialising with an ice-breaker dinner and pub quiz  and a formal Conference dinner on the Thursday. This was the second student conference I have attended and it was a really great place to discuss my work and meet other students from around the country. I have also attended other academic events with several people that I met at the conference last year, it’s always great to see a friendly face!

The student conference is organised by a committee of students from around the UK. Being on the committee was a great opportunity to learn more about how conferences work and to practice skills such as chairing sessions. It has also been great to get to know lots of different people working within meteorology. If you’re interested in helping organise next year’s conference please do get in touch with Victoria Dickinson at RMetS (Victoria.Dickinson@rmets.org) or if you’re thinking about attending then you can start by joining the society where you’ll hear about all the other great events they host.

Highlights of the work presented by Reading students:

Godwin Ayesiga presented work on the convective activity that connects Western and Eastern equatorial Africa. Investigating how intraseasonal modes of variability influence intense rainfall.

Matt Priestley presented an assessment of the importance of windstorm clustering on European wintertime insurance losses. More details of this work can be found here.

Lewis Blunn presented his work looking into the ‘grey zone’ of turbulence at model grid scale lengths of 100 m – 1 km. At these scales turbulence is partially resolved by the grid but still needs to be partially parameterised. Lewis finds that spurious grid scale features emerge at scales where turbulence is partially resolved. Model results are poorer in this ‘grey zone’ than when turbulence is fully resolved or fully parameterised.

Alec Vessey presented his work evaluating the representation of Arctic storms in different reanalysis products. He found that there is a difference between different reanlysis and so care should be taken when using these products to analyse Arctic storms.

Dominic Jones presented a technique for extracting modes of variability from atmospheric data, and a test dataset that has been developed to use this technique to examine the relationship of modes of variability associated with the jet-latitude.

Rachael Byrom presented a motivation for quantifying methane’s shortwave radiative forcing. Her work demonstrated a need to use a high resolution narrow-band radiation model to accurately calculate forcings in atmospheric models.

Andrea Marcheggiani presented a poster on the role of resolution in predicting the North Atlantic storm track. An energy budget of the winter climatology (DJF 1979-2018) was presented.

Sally Woodhouse presented her work on the impact of resolution on energy transports into the Arctic. She has found that increasing atmospheric resolution increases the energy transport in the ocean to better agree with observations.

Kaja Milczewska presented work on evaluating the inaccuracies of predicting air quality in the UK.

Having recently passed her viva, Caroline Dunning’s presentation was on precipitation seasonality over Africa under present and future climates. Caroline has developed a new methodology for determining the beginning and end of the wet season across Africa. This has been applied to CMIP5 model output to look at future changes in wet seasons across Africa under climate change.

Presenting in Ponte Vedra, Florida – 33rd Conference on Hurricanes and Tropical Meteorology

Email: j.f.talib@pgr.reading.ac.uk

You’ve watched many speak before you. You’ve practised your presentation repeatedly. You’ve spent hours, days, months, and sometimes years, understanding your scientific work. Yet, no matter the audience’s size or specialism, the nerves always creep in before a presentation. It’s especially no different at your first international conference!

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Between the 16th and 20th April 2018, me, Jonathan Beverley and Bethan Harris were fortunate enough to attend and present at the American Meteorological Society 33rd Conference on Hurricanes and Tropical Meteorology in Ponte Vedra, Florida. For each of us, our first international conference!

Being a regular user of Instagram through the conference, especially the Instagram Story function, I was regularly asked by my friends back home, “what actually happens at a scientific conference”? Very simple really – scientists from around the world, from different departments, universities, and countries, come to share their work, in the hope of progressing the scientific field, to learn from one another, and network with future collaborators. For myself, it was an opportunity to present recently submitted work and to discuss with fellow researchers on the important questions that should be asked during the rest of my PhD. One outcome of my talk for example, was a two-hour discussion with a graduate student from Caltech, which not only improved my own work, but also helped me understand other research in global circulation.

Recordings of the presentations given by University of Reading PhD students can be found at:

Alongside presenting my own work, I had the opportunity to listen and learn from other scientific researchers. The conference had oral and poster presentations from a variety of tropical meteorology subject areas including hurricanes, global circulation, sub-seasonal forecasting, monsoons and Madden-Julian Oscillation. One of the things that I most enjoy at conferences is to hear from leading academics give an overview of certain topic or issue. For example, Kerry Emanuel spoke on the inferences that can be made from simple models of tropical convection. Through applying four key principles of tropical meteorology including the weak temperature gradient approximation and conservation of free-tropospheric moist static energy, we can understand tropical meteorology processes including the Intertropical Convergence Zone, Walker circulation and observed temperature and humidity profiles.

Of course, if you’re going to fly to the other side of the pond, you must take advantage of being in the USA. We saw a SPACEX rocket launch, (just at a distance of 150 miles away,) experienced travelling through a squall line, visited the launch sites of NASA’s first space programs, and explored the sunny streets of Miami. It was a great privilege to have the opportunity to present and attend the AMS 33rd Conference on Hurricanes and Tropical Meteorology, and I am hugely thankful to NERC SCENARIO DTP and the Department of Meteorology for funding my work and travel.

 

Describe your research using the ten-hundred most common words…

Online comic “xkcd” set a trend for explaining complicated things using only the 1000 most common words when they created this schematic of Saturn-V.  They have subsequently published more on how microwaves, plate tectonics and your computer work, using the same style.

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Useful safety advice from xkcd

So we thought we’d jump on the bandwagon in a recent PhD group meeting, and have a go at explaining our research topics using the ten-hundred most common words. You can have a go yourselves, and tweet us with it @SocialMetwork on Twitter. Enjoy!

The Role of the Asian Summer Monsoon in European Summer Climate Variability – Jonathan Beverley

I look at how heavy rain in in-dear in summer makes rain, sun, wind and other things happen in your-up. This happens by big waves high up in the sky moving around the world. We might be able to use this to make a long know-before better and to help people live longer and not lose money.

Contribution of near-infrared bands of greenhouse gases to radiative forcing – Rachael Byrom

I study how the sun’s light warms the sky. This happens when these really tiny things in the air that we can’t see eat the sun’s light which then makes the sky warmer. I use computers to look into how this happens, especially how exactly the really tiny things eat the sun’s light and how this leads to warming. By this I mean, if I add lots of the tiny things to a pretend computer sky, all over the world, then will the sky also warm over all of the world too and by how much will it warm? This might be interesting for people who lead the world so that they can see how much of the really tiny things we should be allowed to put into the sky.

Wind profile effects on gravity wave drag and their impact on the global atmospheric circulation – Holly Turner

I look at waves in the air over high places and how they slow down the wind. When the wind gets faster the higher up you go, it changes how it slows down. I want to use this to make computer wind pictures better.

The pulsatory nature of Bagana volcano, Papua New Guinea – Rebecca Couchman-Crook

To be a doctor, I look at a fire-breathing ground thing with smoke and rocks on a hot place surrounded by water. I look at space pictures to understand the relationships between the air that smells and fire-rock bits in the air, and other stuff. It’s a very angry fire-breathing ground thing and might kill the near-by humans

Surface fluxes, temperatures and boundary layer evolutions in the building grey zone in London – Beth Saunders

I work on numbers which come out of the Met Office’s computer world. These numbers are different to what is seen and felt in real life for cities. True numbers, seen in real life, help to say how hot cities are, and how different the hot city is to areas that aren’t cities, with trees and fields, because of the city’s people, cars and houses. Numbers saying how fast the wind goes, and the wind’s direction, change in cities because of all the areas with tall houses. Finding times where the computer world numbers are bad for cities will help to make the Met Office’s computer give numbers more like the true numbers.

Cloud electrification and lightning in the evolution of convective storms – Ben Courtier

To be a doctor, I look at sudden light shocks from angry water air that happens with noise in the sky and how the angry water air changes before the light shock happens. I do this in order to better guess when the sudden light shock happens.