TY - JOUR
T1 - Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)
T2 - a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
AU - Hitchcock, Peter
AU - Butler, Amy
AU - Charlton-Perez, Andrew
AU - Garfinkel, Chaim I.
AU - Stockdale, Tim
AU - Anstey, James
AU - Mitchell, Dann
AU - Domeisen, Daniela I.V.
AU - Wu, Tongwen
AU - Lu, Yixiong
AU - Mastrangelo, Daniele
AU - Malguzzi, Piero
AU - Lin, Hai
AU - Muncaster, Ryan
AU - Merryfield, Bill
AU - Sigmond, Michael
AU - Xiang, Baoqiang
AU - Jia, Liwei
AU - Hyun, Yu Kyung
AU - Oh, Jiyoung
AU - Specq, Damien
AU - Simpson, Isla R.
AU - Richter, Jadwiga H.
AU - Barton, Cory
AU - Knight, Jeff
AU - Lim, Eun Pa
AU - Hendon, Harry
N1 - Publisher Copyright:
© 2022 Peter Hitchcock et al.
PY - 2022/7/4
Y1 - 2022/7/4
N2 - Major disruptions of the winter season, high-latitude stratospheric polar vortices can result in stratospheric anomalies that persist for months. These sudden stratospheric warming events are recognized as an important potential source of forecast skill for surface climate on subseasonal to seasonal timescales. Realizing this skill in operational subseasonal forecast models remains a challenge, as models must capture both the evolution of the stratospheric polar vortices in addition to their coupling to the troposphere. The processes involved in this coupling remain a topic of open research. We present here the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project. SNAPSI is a new model intercomparison protocol designed to study the role of the Arctic and Antarctic stratospheric polar vortex disturbances for surface predictability in subseasonal to seasonal forecast models. Based on a set of controlled, subseasonal ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. First, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. Second, to attribute specific extreme events to stratospheric variability. Third, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models. Fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. Although not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. The output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of subseasonal forecasts.
AB - Major disruptions of the winter season, high-latitude stratospheric polar vortices can result in stratospheric anomalies that persist for months. These sudden stratospheric warming events are recognized as an important potential source of forecast skill for surface climate on subseasonal to seasonal timescales. Realizing this skill in operational subseasonal forecast models remains a challenge, as models must capture both the evolution of the stratospheric polar vortices in addition to their coupling to the troposphere. The processes involved in this coupling remain a topic of open research. We present here the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project. SNAPSI is a new model intercomparison protocol designed to study the role of the Arctic and Antarctic stratospheric polar vortex disturbances for surface predictability in subseasonal to seasonal forecast models. Based on a set of controlled, subseasonal ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. First, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. Second, to attribute specific extreme events to stratospheric variability. Third, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models. Fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. Although not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. The output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of subseasonal forecasts.
UR - http://www.scopus.com/inward/record.url?scp=85133721542&partnerID=8YFLogxK
U2 - 10.5194/gmd-15-5073-2022
DO - 10.5194/gmd-15-5073-2022
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AN - SCOPUS:85133721542
SN - 1991-959X
VL - 15
SP - 5073
EP - 5092
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 13
ER -