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Homogeneity of Monthly Mean Air Temperature of the United Republic of Tanzania with HOMER Philbert M. Luhunga, Edmund Mutayoba2 Hashim K. Ng’ongolo, 2014, Eng
The long-term climate datasets are widely used in a variety of climate analyses. These datasets, however, have
been adversely impacted by inhomogeneities caused by, for example relocations of
Homogeneity of Monthly Mean Air Temperature of the United Republic of Tanzania with HOMER - Philbert M. Luhunga, Edmund Mutayoba2 Hashim K. Ng’ongolo, 2014, Eng
Homogeneity of Monthly Mean Air Temperature of the United Republic of Tanzania with HOMER - Philbert M. Luhunga, Edmund Mutayoba2 Hashim K. Ng’ongolo, 2014, Eng
Abstract
The long-term climate datasets are widely used in a variety of climate analyses. These datasets, however, have
been adversely impacted by inhomogeneities caused by, for example relocations of meteorological station, change
of land use cover surrounding the weather stations, substitution of meteorological station, changes of shelters,
changes of instrumentation due to its failure or damage, and change of observation hours. If these inhomogeneities
are not detected and adjusted properly, the results of climate analyses using these data can be erroneous. In
this paper for the first time, monthly mean air temperatures of the United Republic of Tanzania are homogenized
by using HOMER software package. This software is one of the most recent homogenization software and
exhibited the best results in the comparative analysis performed within the COST Action ES0601 (HOME).
Monthly mean minimum (TN) and maximum (TX) air temperatures from 1974 to 2012 were used in the analysis.
