Fig. 2: Correlation between meteorological variables in Southeast Asia and Beaufort SIC in reanalysis datasets (left column) and model simulations (right column). | npj Climate and Atmospheric Science

Fig. 2: Correlation between meteorological variables in Southeast Asia and Beaufort SIC in reanalysis datasets (left column) and model simulations (right column).

From: Beaufort sea ice loss contributes to enhanced health exposure to fire weather over Southeast Asia

Fig. 2: Correlation between meteorological variables in Southeast Asia and Beaufort SIC in reanalysis datasets (left column) and model simulations (right column).The alternative text for this image may have been generated using AI.

The distribution of the negative correlation coefficients between FMA meteorological variables and ASO Beaufort SIC in (a–d) the ERA5 reanalysis (1980–2019), and (e–h) is similar to (a–d), but for the OBE simulation. a, e T2M, b, f TP, c, g SLP (shaded) +U10 + V10 (arrows), and d, h FWI calculated by the Random Forest Regression (RFR) models. The correlation coefficient is taken as a negative sign to correspond to the Beaufort SIC reduction. Student’s t-test indicated that the region containing white dots passed the significance test with p ≤ 0.1. As a result of the Beaufort SIC reduction, the correlation coefficients are interpreted negatively.

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