TY - JOUR
T1 - Subseasonal to Seasonal Climate Forecasts Provide the Backbone of a Near-Real-Time Event Explainer Service
AU - Hope, Pandora
AU - Zhao, Mei
AU - Abhik, S.
AU - Tolhurst, Gen
AU - McKay, Roseanna C.
AU - Rauniyar, Surendra P.
AU - Bettio, Lynette
AU - Ramchurn, Avijeet
AU - Lim, Eun Pa
AU - Pepler, Acacia S.
AU - Cowan, Tim
AU - Watkins, Andrew B.
N1 - Funding Information:
Acknowledgments. The authors thank David Martin, Debra Hudson, and David Jones for their insightful reviews that helped improve the paper. This work was partially funded by the Australian Government’s National Environmental Science Program. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups for the CMIP5 data detailed in Lewis et al. (2014).
PY - 2022/3/1
Y1 - 2022/3/1
N2 - The Australian Bureau of Meteorology (BoM) provides forecasts at daily, multiweek, and seasonal time scales along with a range of other services. Customers are keen to be informed about the causes of extreme weather and climate events to help them in their planning and decision making. While attribution is often framed in terms of understanding the role of climate change, it is also useful to understand the role of climate variability and circulation changes in causing extreme events (e.g., Mindlin et al. 2020).The focus of the Event Explainer is to reduce climate risk by informing decision makers about the causes of extreme events and, if there are persistent underlying drivers, the event’s likelihood of recurrence over the coming season or decade. This article describes the tools that are being developed at the BoM to explain the causes of extreme weather and climate events, and how those tools would add value to existing services. The novel aspect of the tools is that they will link with the dynamical subseasonal to seasonal (S2S) forecasts currently in operation. Thus, operational staff are alerted to the upcoming extreme event, and have time to diagnose and quantify the causes, thereby facilitating earlier and more effective communication with the public and stakeholders and potentially tailoring the service to users’ needs. Hence there is strong appeal in using an operational forecast system as the backbone of a real-time attribution system.
AB - The Australian Bureau of Meteorology (BoM) provides forecasts at daily, multiweek, and seasonal time scales along with a range of other services. Customers are keen to be informed about the causes of extreme weather and climate events to help them in their planning and decision making. While attribution is often framed in terms of understanding the role of climate change, it is also useful to understand the role of climate variability and circulation changes in causing extreme events (e.g., Mindlin et al. 2020).The focus of the Event Explainer is to reduce climate risk by informing decision makers about the causes of extreme events and, if there are persistent underlying drivers, the event’s likelihood of recurrence over the coming season or decade. This article describes the tools that are being developed at the BoM to explain the causes of extreme weather and climate events, and how those tools would add value to existing services. The novel aspect of the tools is that they will link with the dynamical subseasonal to seasonal (S2S) forecasts currently in operation. Thus, operational staff are alerted to the upcoming extreme event, and have time to diagnose and quantify the causes, thereby facilitating earlier and more effective communication with the public and stakeholders and potentially tailoring the service to users’ needs. Hence there is strong appeal in using an operational forecast system as the backbone of a real-time attribution system.
UR - https://www.scopus.com/pages/publications/85130142258
U2 - 10.1175/BAMS-D-21-0253.1
DO - 10.1175/BAMS-D-21-0253.1
M3 - Article
AN - SCOPUS:85130142258
SN - 0003-0007
VL - 103
SP - S7-S13
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 3
ER -