Test 8
Part 2
For questions 9 – 10, read the text below and think of the word which best fits each gap. Use only one word in each gap. There is an example at the beginning (0). Write your answers IN CAPITAL LETTERS.
Esto es una muestra. Cada test del libro tiene ocho huecos; aquí te dejamos dos para que pruebes el formato. Los otros seis van ya resueltos dentro del texto.
Example:
0. AS
Why weather forecasts still get it wrong
Weather forecasts are often regarded (0) ____ simple statements of what will happen, yet they are better understood as estimates based on evidence that is changing all the time. Every (9) ____ often, however, a forecast is dramatically wrong, which can make people question the whole process.
Forecasters are routinely faced (10) ____ signals that point in different directions. Computer models can compare enormous quantities of data, but human judgement remains essential, not because forecasters can somehow outguess the machines, but rather because they must decide how much weight to give each source of information.
Where local observations are concerned, nothing is left to chance, especially when conditions are changing quickly. Experienced forecasters also make the most of their knowledge of terrain, coastlines and recurring local weather patterns. Some uncertainty remains, even with today’s most powerful computers, because tiny differences in starting conditions can grow rapidly.
Forecasts expressed as percentages can seem abstract. Visualisations can bring those probabilities to life by showing several possible outcomes rather than a single fixed prediction. From a practical point of view, a forecast can therefore be useful even when events do not unfold exactly as expected.
Forecasters are routinely faced (10) ____ signals that point in different directions. Computer models can compare enormous quantities of data, but human judgement remains essential, not because forecasters can somehow outguess the machines, but rather because they must decide how much weight to give each source of information.
Where local observations are concerned, nothing is left to chance, especially when conditions are changing quickly. Experienced forecasters also make the most of their knowledge of terrain, coastlines and recurring local weather patterns. Some uncertainty remains, even with today’s most powerful computers, because tiny differences in starting conditions can grow rapidly.
Forecasts expressed as percentages can seem abstract. Visualisations can bring those probabilities to life by showing several possible outcomes rather than a single fixed prediction. From a practical point of view, a forecast can therefore be useful even when events do not unfold exactly as expected.
