Studies on frequency distributions of ambient temperature available in the literature are limited and are developed assuming that the distributions are symmetric about its average value. The present article examines the suitability of a new parameter, T¯aˆ, and a variable, Taˆ to depict generalized distributions. T¯aˆ is a normalized monthly average daily ambient temperature, while Taˆ is a normalized daily ambient temperature. They comprise maximum and minimum ambient temperatures (Ta,max and Ta,min), in addition to monthly average daily ambient temperature, a, and daily ambient temperature, Ta. Correlations have been developed to predict Ta,max and Ta,min needed, in the absence of data. The distributions, developed in terms of Taˆ and T¯aˆ have been suitably represented and tested over 269 locations, latitudes ranging from 8°N to 64°N. The daily ambient temperature values have been predicted within a %rms difference and standard deviations of 0.43% (when Ta’s are in K) and 1.19 K with the expressions developed in the present study.

1.
Aerological Data of India, Part III, Radiation Data, (1971–78), Meteorological Department, New Delhi, India.
2.
Liu
B. Y. H.
, and
Jordan
R. C.
,
1963
, “
A Rational Procedure for Predicting the Long Term Performance of Flat-Plate Solar Energy Collectors
,”
Solar Energy
, Vol.
7
, pp.
53
74
.
3.
Erbs
D. G.
,
Klein
S. A.
, and
Beckman
W. A.
,
1983
, “
Estimation of Degree-Days and Ambient Temperature Bin Data from Monthly Average Temperatures
,”
ASHRAE Journal
, Vol.
25
, pp.
60
65
.
4.
Knight
K. M.
,
Klein
S. A.
, and
Duffie
J. A.
,
1991
, “
A Methodology for the Synthesis of Hourly Weather Data
,”
Solar Energy
, Vol.
46
, pp.
109
120
.
5.
William, M., and Urban, K., 1996, User’s Manual for TMY2S, National Renewable Energy Laboratory, Golden, CO, USA. Also can be accessed at http://rredc.nrel.gov.solar/old_data/nsrdh/tmy2/
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