Predictability of Sudden Stratospheric Warmings in the ECMWF Extended-Range Forecast SystemSource: Monthly Weather Review:;2018:;volume 146:;issue 004::page 1063Author:Karpechko, Alexey Yu.
DOI: 10.1175/MWR-D-17-0317.1Publisher: American Meteorological Society
Abstract: AbstractThe skill of the Arctic stratospheric retrospective ensemble forecasts (hindcasts) of the European Centre for Medium-Range Weather Forecasts extended-range system is analyzed with a focus on the predictability of the major sudden stratospheric warmings (SSWs) during the period 1993?2016. Thirteen SSWs took place during this period. It is found that forecasts initialized 10?15 days before the SSWs show worse skill in the stratosphere than forecasts initialized during normal conditions in terms of root-mean-square errors but not in terms of anomaly correlation. Using the spread of ensemble members to estimate forecasted SSW probability, it is shown that some SSWs can be predicted with high (>0.9) probability at lead times of 12?13 days if a difference of 3 days between actual and forecasted SSW is allowed. Focusing on SSWs with significant impacts on the tropospheric circulation, on average, the forecasted SSW probability is found to increase from nearly 0 at 1-month lead time to 0.3 at day 13 before SSW, and then rapidly increases to nearly 1 at day 7. The period between days 8 and 12 is when most of the SSWs are predicted, with a probability of 0.5?0.9, which is considerably larger than the observed SSW occurrence frequency. Therefore, this period can be thought of as an estimate of the SSW predictability limit in this system. Indications that the predictability limit for some SSWs may be longer than 2 weeks are also found; however, this result is inconclusive and more studies are needed to understand when and why such long predictability is possible.
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contributor author | Karpechko, Alexey Yu. | |
date accessioned | 2019-09-19T10:04:36Z | |
date available | 2019-09-19T10:04:36Z | |
date copyright | 3/2/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | mwr-d-17-0317.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261257 | |
description abstract | AbstractThe skill of the Arctic stratospheric retrospective ensemble forecasts (hindcasts) of the European Centre for Medium-Range Weather Forecasts extended-range system is analyzed with a focus on the predictability of the major sudden stratospheric warmings (SSWs) during the period 1993?2016. Thirteen SSWs took place during this period. It is found that forecasts initialized 10?15 days before the SSWs show worse skill in the stratosphere than forecasts initialized during normal conditions in terms of root-mean-square errors but not in terms of anomaly correlation. Using the spread of ensemble members to estimate forecasted SSW probability, it is shown that some SSWs can be predicted with high (>0.9) probability at lead times of 12?13 days if a difference of 3 days between actual and forecasted SSW is allowed. Focusing on SSWs with significant impacts on the tropospheric circulation, on average, the forecasted SSW probability is found to increase from nearly 0 at 1-month lead time to 0.3 at day 13 before SSW, and then rapidly increases to nearly 1 at day 7. The period between days 8 and 12 is when most of the SSWs are predicted, with a probability of 0.5?0.9, which is considerably larger than the observed SSW occurrence frequency. Therefore, this period can be thought of as an estimate of the SSW predictability limit in this system. Indications that the predictability limit for some SSWs may be longer than 2 weeks are also found; however, this result is inconclusive and more studies are needed to understand when and why such long predictability is possible. | |
publisher | American Meteorological Society | |
title | Predictability of Sudden Stratospheric Warmings in the ECMWF Extended-Range Forecast System | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 4 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-17-0317.1 | |
journal fristpage | 1063 | |
journal lastpage | 1075 | |
tree | Monthly Weather Review:;2018:;volume 146:;issue 004 | |
contenttype | Fulltext |