TY  - JOUR
T1  - Convective Instability Indices and Thermo-Dynamical Parameter for
Forecasting Thunderstorms Occurrences over Kano, Nigeria
AU - Ropo, Orimoloye Israel AU - Adesanya, Adefisan Elijah 
JO  - Research Journal of Applied Sciences
VL  - 13
IS  - 5
SP  - 285
EP  - 293
PY  - 2018
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2018.285.293
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2018.285.293
KW  - Thunderstorm
KW  -forecasting
KW  -occurrence
KW  -contingency table
KW  -convective stability
KW  -availability
AB  - The thunderstorms forecasting has been identified by many forecasters as an unusually difficult
problem deserving of some special research attention. The study investigated the roles of Convective
Instability (CI) Indices and Thermo-dynamical Parameter (SITP) on thunderstorms occurrences and hence,
determined the threshold values of these SITPs necessary for thunderstorm and occurrences and used for
short-range forecasting of thunderstorm occurrence over Kano, Nigeria. Daily upper air data and hourly
significant weather for August and September in years, 2012 and 2013 obtained from the archive of Nigerian
meteorology agency were used. The study uses the concept of &#147;a 2&times;2 contingency table&#148; for analysing
thunderstorm occurrence and obtained some simple skill scores such as Accuracy (AC), Bias (B), Probability
of Detection (POD), False Alarm Ratio (FAR), Probability of False Detection (POFD) and Success Ratio (SR).
The study established that if CI between 925 and 850 mb pressure levels is &ge;100 hpa<sup>&#150;1</sup> and CAPE is &ge;2500 J/kg
simultaneously, the probability of thunderstorm occurrence is 70%. It means that success ratio of a 2&times;2
contingency table is 68% and the accuracy is about 74% and the FAR is 29%. The result has finally shown that
short range-range forecast of the occurrence of thunderstorm and squall line is possible with the availability
of upper air data.
ER  - 