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Seasonal prediction of very hot days in Hong Kong using NCEP CFSv2
Chi Yung TAM
, L W KIT
, K YE
School of Energy and Environment
Research output
:
Conference Papers
›
RGC 33 - Other conference paper
Overview
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Dive into the research topics of 'Seasonal prediction of very hot days in Hong Kong using NCEP CFSv2'. Together they form a unique fingerprint.
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Weight
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Engineering
Observatory
100%
Globe Temperature
100%
False Alarm
33%
Data Show
33%
Temperature Data
33%
Mean Value
33%
Linear Trend
33%
Heat Stress
33%
Mathematics
False Alarm
100%
Linear Trend
100%
Objective Measure
100%
Arts and Humanities
Hong Kong
100%
Observatory
60%
Binaries
40%
Earth and Planetary Sciences
Hong Kong
100%
Observatory
60%
False Alarm
20%
Physics
Observatory
100%
False Alarm
33%
Mean Anomaly
33%