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Table 3 Homogeneity test results for mean annual temperature data series Station ID Pettitt's test SNHT Von Neumann's test K Kc Check T To Check V Vo Check F0002 124.00 133.00 Ok 6.84 10.45 Ok 1.46 1.20 Ok F0009 274.00 208.00 Not ok 17.09 11.01 Not ok 1.12 1.29 Not ok.
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Therefore, pretreatments of this dataset was necessary for obtaining the climate data that contained annual temperature information in one file.
We analysed the annual rainfall and temperature data from 1980 to 2012 using both Mann-Kendall's statistical test to show the long-term annual trends and Standardised Anomaly Index (SAI) to evaluate inter-annual rainfall fluctuations.
Annual irradiance and temperature data was used to develop site-specific weighted-efficiency coefficients.
Our observations of temporal variations in annual CAPE and temperature data revealed that CAPE and temperature are positively correlated at Delhi and Kolkata over a certain period of time, especially in the years after 1998 1999.
Mean annual rainfall and temperature data for 2002 to 2005 were obtained from the United Kingdom Met Office 5 km × 5 km gridded data sets.
For this calculation, a procedure that simplifies the standard ISO 10456:2007 using the mean annual temperature and relative humidity data for each location is proposed.
Besides the biophysical characteristics of the sub-basin, Figs. 2 and 3 present the trend in the annual maximum and minimum temperature data from the year 1990 to 2015 for the three metrology stations found in the sampled districts namely Gebereguracha station for the Kuyu district, Sululta station for the Sululta district, and Kachisi station for Abuna Gindeberet district, respectively.
Overall, the main results changed little when we controlled for air pollution or annual summer's average temperature (data not shown).
We incorporated total annual precipitation and minimum temperature data interpolated from weather stations using the Parameter-elevation Relationships on Independent Slopes Model (PRISM) method, which accounts for physiographic features such as terrain barriers that result in rain shadows and is considered the most accurate representation of US climate patterns [ 57].
We found significant average annual temperature rises in soil and air temperature data, with greater rises in the soil temperatures over this period.
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