Fig. 5: CH4 emission prediction error increases substantially as measured CH4 emission increases.
From: Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions
The performance of CH4 emissions modeled by the regression models that only include a universal emergent CH4 emission temperature dependence (a), and those that include site- and time-specific conditions (b). The root mean square errors associated with the regression models used in (a) and (b) (bars, left axis) and number of data points (green line, right axis) for measured CH4 emission bins (c). Two of the 27,130 daily observations have CH4 emission above 1600 mg C m−2 d−1, which are not shown for the ease of representation. Lighter colors in the density scatter plot represent denser data points. Solid blue and dashed black lines represent the linear best-fit and one-to-one lines, respectively. The abbreviations used in each model group represent air temperature (T), intra-seasonal variability (ISV), inter-site variability (site), and inter-annual variability (IAV).
