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Weather, climate and the air we breathe - WMO

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63 h targeted at venues in Beijing<br />

sho<strong>we</strong>d that:<br />

•<br />

•<br />

•<br />

•<br />

•<br />

Forecasters largely depended on<br />

<strong>the</strong> guidance provided; <strong>the</strong>y could<br />

make merit-based judgments <strong>and</strong><br />

amendments;<br />

The quantitative precipitation<br />

forecast is <strong>the</strong> most difficult one<br />

in forecast elements, especially<br />

when it relates to specific location<br />

<strong>and</strong> time;<br />

Forecasters’ skills in temperature,<br />

relative humidity <strong>and</strong> wind speed<br />

<strong>we</strong>re slightly better than forecast<br />

guidance, but <strong>the</strong>ir skills for<br />

precipitation <strong>and</strong> wind direction<br />

<strong>we</strong>re more or less equivalent to<br />

<strong>the</strong> guidance on average;<br />

The accuracy rate of three-hourly<br />

relative humidity forecasts issued<br />

by forecasters, with bias less than<br />

10 per cent against observation,<br />

was about 70 per cent within<br />

24 h, 65 per cent in 24-48 h, <strong>and</strong><br />

55 per cent beyond 48 h. The<br />

mean absolute error of threehourly<br />

temperature forecasts was<br />

about 1.7°C within 24 h, 2.0°C in<br />

24-48 h, <strong>and</strong> 2.2°C beyond 48 h<br />

(see Figures 3 <strong>and</strong> 4);<br />

Comparing <strong>the</strong> performance of<br />

venue three-hourly precipitation<br />

forecasts using <strong>the</strong> threat score<br />

(TS), forecasters had higher skill<br />

than support vector machine<br />

guidance, but <strong>the</strong> skill decreased<br />

with valid time (TS around 0.1-0.2<br />

within 24 h, <strong>and</strong> 0.07-0.13 in 24 h-<br />

63 h against TS of support vector<br />

machine guidance less than 0.1<br />

in 0-63 h). It is noticeable that<br />

TS of three-hourly venue rainfall<br />

guidance within a 24-h valid time<br />

from BJ-RUC had <strong>the</strong> highest TS<br />

among <strong>the</strong> three. Ho<strong>we</strong>ver, its<br />

unstable performance on different<br />

runs during <strong>the</strong> daily cycle did not<br />

give forecasters <strong>the</strong> confidence<br />

to rely on it more.<br />

Responses to a satisfaction survey<br />

sho<strong>we</strong>d that users such as BOCOG<br />

Forecast accuracy (%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51 54 57 60 63<br />

Hour<br />

Figure 3 — Forecast accuracy rate of relative humidity (bias

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