Statistical evaluation of monthly temperature timeseries from grid cells against ground observations. The evaluation presents the Pearson correlation (PCC), the mean absolute error (MAE), and the root mean square error (RMSE) during the period 2011-2020 for each global gridded temperature data set (GGTD), averaged across each primary validation area (ValAr-P). Mean values represent averages across all validation areas (ValAr). Note that the number of weather stations evaluated varies across the different ValAr, as detailed in Tables S1 Table in the Supplement. Only stations with correlations statistically significant at the 95% confidence level were included in the analysis. Results are provided for all GGTDs at their native spatial resolution and on a common 0.<sup>∘</sup> grid (in brackets).
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Statistical evaluation of monthly temperature timeseries from grid cells against ground observations. The evaluation presents the Pearson correlation (PCC), the mean absolute error (MAE), and the root mean square error (RMSE) during the period 2011-2020 for each global gridded temperature data set (GGTD), averaged across each primary validation area (ValAr-P). Mean values represent averages across all validation areas (ValAr). Note that the number of weather stations evaluated varies across the different ValAr, as detailed in Tables S1 Table in the Supplement. Only stations with correlations statistically significant at the 95% confidence level were included in the analysis. Results are provided for all GGTDs at their native spatial resolution and on a common 0.∘ grid (in brackets).
