Abstract

Abstract. In 2015, El Niño contributed to severe droughts in equatorial Asia (EA). The severe droughts enhanced fire activity in the dry season (June–November), leading to massive fire emissions of CO2 and aerosols. Based on large event attribution ensembles of the MIROC5 atmospheric global climate model, we suggest that historical anthropogenic warming increased the chances of meteorological droughts exceeding the 2015 observations in the EA area. We also investigate changes in drought in future climate simulations, in which prescribed sea surface temperature data have the same spatial patterns as the 2015 El Niño with long-term warming trends. Large probability increases of stronger droughts than the 2015 event are projected when events like the 2015 El Niño occur in the 1.5 and 2.0 ∘C warmed climate ensembles according to the Paris Agreement goals. Further drying is projected in the 3.0 ∘C ensemble according to the current mitigation policies of nations. We use observation-based empirical functions to estimate burned area, fire CO2 emissions and fine (<2.5 µm) particulate matter (PM2.5) emissions from these simulations of precipitation. There are no significant increases in the chances of burned area and CO2 and PM2.5 emissions exceeding the 2015 observations due to past anthropogenic climate change. In contrast, even if the 1.5 and 2.0 ∘C goals are achieved, there are significant increases in the burned area and CO2 and PM2.5 emissions. If global warming reaches 3.0 ∘C, as is expected from the current mitigation policies of nations, the chances of burned areas and CO2 and PM2.5 emissions exceeding the 2015 observed values become approximately 100 %, at least in the single model ensembles. We also compare changes in fire CO2 emissions due to climate change and the land-use CO2 emission scenarios of five shared socioeconomic pathways, where the effects of climate change on fire are not considered. There are two main implications. First, in a national policy context, future EA climate policy will need to consider these climate change effects regarding both mitigation and adaptation aspects. Second is the consideration of fire increases changing global CO2 emissions and mitigation strategies, which suggests that future climate change mitigation studies should consider these factors.

Highlights

  • El Niño events, often characterised by their positive sea surface temperature (SST) anomalies in the central and eastern tropical Pacific Ocean, accompany a weakening of the Walker circulation in the equatorial Pacific region

  • In a previous study (Lestari et al, 2014), we suggested that recent fire events in Sumatra were exacerbated by humaninduced drying trends based on analyses of two sets of historical simulations of the MIROC5 atmospheric global climate model (AGCM) (Watanabe et al, 2010) with and without anthropogenic warming

  • By performing and analysing the HAPPI (1.5 and 2.0 ◦C warming) and HAPPI extension (3.0 ◦C warming) runs, we showed that the probabilities of drought exceeding the 2015 observations will largely increase: 82 % (76 %–87 %), 67 % (60 %–74 %), and 93 % (89 %–96 %), respectively

Read more

Summary

Introduction

El Niño events, often characterised by their positive sea surface temperature (SST) anomalies in the central and eastern tropical Pacific Ocean, accompany a weakening of the Walker circulation in the equatorial Pacific region. For example, we can assess how anthropogenic warming affected the probabilities of drought events exceeding the observed value in the 2015 major El Niño event by comparing the distributions of members in historical and natural forcing ensembles. We analyse large (100-member) ensembles of the MIROC5 AGCM under the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, which was initiated in response to the Paris Agreement (Mitchell et al, 2016, 2017, 2018; Shiogama et al, 2019) These MIROC5 HAPPI ensembles have been used, for example, to study the changes in extremely hot days (Wehner et al, 2018), extreme heatrelated mortality (Mitchell et al, 2018), tropical rainy season length (Saeed et al, 2018) and global drought (Liu et al, 2018) at 1.5 and 2.0 ◦C global warming.

Empirical functions
Model simulations
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call