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- Statistics
- sting jet
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Category Archives: Weather forecasting
How to analyse your forecast diary properly
By: Jochen Broecker As you are reading a science blog, I am sure you are interested in science, and either as a parent or during your childhood you will have seen these books aimed at children interested in the natural … Continue reading
What do we do with weather forecasts?
By: Peter Clark As I sat in the Kia Oval in Kennington having taken a day off to watch the first One Day International between England and Pakistan, I had plenty of time to appreciate the accuracy and utility of … Continue reading
Is it a normal season this year for tropical cyclones in the Western North Pacific?
By Xiangbo Feng The Western North Pacific (WNP) is the most active area for tropical cyclones (TCs). The number of TCs occurred in the WNP so far (end of October) this year is 26 – just the average number of … Continue reading
Smoke, science, and sharks
By Ross Herbert In the August of 2017 the Cloud-Aerosol-Radiation Interactions and Forcing – Year 2017 (CLARIFY) measurement campaign took place on a tiny island in the middle of the southeast Atlantic Ocean where we were surrounded by whales, sharks, … Continue reading
Posted in Atlantic, Atmospheric chemistry, Atmospheric circulation, Atmospheric optics, Climate, Climate change, Climate modelling, Clouds, Data collection, earth observation, Energy budget, Environmental hazards, Greenhouse gases, Measurements and instrumentation, Microphysics, Numerical modelling, Solar radiation, Weather forecasting, Wind
Tagged Africa
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Sting jets in winter storms : how do the winds get so strong?
By Ambrogio Volonté Figure 1: Windstorm Tini (12 Feb 2014) passes over the British Isles bringing extreme winds. A sting jet has been identified in the storm. Image courtesy of NASA Earth Observatory The arrival of a winter storm battering … Continue reading
DARE to use datasets of opportunity
By Joanne Waller To accurately forecast the weather, we must first describe what is currently happening in the atmosphere. To determine the current atmospheric state, we could use: Previous forecasts (data from complex computational models of the atmosphere) which provide … Continue reading
Posted in earth observation, Flooding, University of Reading, Weather forecasting
Tagged data assimilation, Weather
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Tibetan Plateau Vortices
By Julia Curio Tibetan Plateau Vortices (TPVs) are meso-scale cyclones that originate over the Tibetan Plateau and move eastwards steered by the subtropical westerly jet above. These storms can also move off the Tibetan Plateau (TP) and travel as far … Continue reading
The “size” of the NWP/DA problem
By Javier Amezcua There is a professor in the University of Reading that likes to say that the Data Assimilation (DA) problem in Numerical Weather Prediction (NWP) is larger than the size of the universe (estimated to be around 1080 … Continue reading
Posted in Climate, Numerical modelling, Weather forecasting
Tagged data assimilation
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What’s in a number?
By Nancy Nichols Should you care about the numerical accuracy of your computer? After all, most machines now retain about 16 digits of accuracy, but usually only about 3-4 figures of accuracy are needed for most applications; so what’s the … Continue reading
Posted in Climate modelling, Numerical modelling, Weather forecasting
Tagged data assimilation
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Can observations of the ocean help predict the weather?
By Amos Lawless It has long been recognized that there are strong interactions between the atmosphere and the ocean. For example, the sea surface temperature affects what happens in the lower boundary of the atmosphere, while heat, momentum and moisture … Continue reading
Posted in Boundary layer, Numerical modelling, Oceans, Weather forecasting
Tagged data assimilation
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