Skilful sub-seasonal forecasts of aggregated temperature over Europe

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Laura Baker, Andrew Charlton-Perez, Kanzis L. Mattu
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引用次数: 0

Abstract

Subseasonal-to-seasonal (S2S) forecasts span the prediction range of weeks to 2–3 months ahead, bridging the gap between medium-range and seasonal weather forecasts. There has been growing interest in S2S forecasts in recent years, largely because of the many potential uses of forecasts spanning these timescales. However, the skill of S2S forecasts beyond the first 2 weeks or so is poor, potentially limiting the usability of these forecasts. We show in this study that when considering accumulated temperatures, there is in fact good forecasting skill over Europe for accumulation periods up to 30 days ahead. Using a set of S2S hindcasts, we show using both a deterministic and a probabilistic measure of skill that the accumulated 2-metre temperature forecasts out to 30 days are skilful over most of Europe. In summer, South West Europe has highest skill, while in winter North East Europe has highest skill. As an example application of such forecasts, we also evaluate the skill for summer cooling degree-days (CDD) and winter heating degree-days (HDD). For 30-day winter HDD, there is good skill in all four European regions; for 30-day summer CDD, the skill is limited in North West Europe, but still good in other regions.

Abstract Image

娴熟的欧洲综合气温分季节预报
亚季节到季节(S2S)预报的预测范围为未来几周到 2-3 个月,是中程天气预报和季节性天气预报之间的桥梁。近年来,人们对 S2S 预报的兴趣与日俱增,这主要是因为跨越这些时间尺度的预报有许多潜在用途。然而,S2S 预报在头两周左右的预报技能较差,可能会限制这些预报的可用性。我们在本研究中表明,在考虑累积温度时,欧洲的累积期长达 30 天,实际上具有良好的预报能力。通过一组 S2S 后期预报,我们使用确定性和概率性的技术指标表明,在欧洲大部分地区,30 天内的 2 米累积温度预报是可靠的。在夏季,欧洲西南部的预报技能最高,而在冬季,欧洲东北部的预报技能最高。作为此类预报的一个应用实例,我们还评估了夏季降温度日(CDD)和冬季升温度日(HDD)的技能。对于 30 天的冬季 HDD,所有四个欧洲地区都有很好的技能;对于 30 天的夏季 CDD,西北欧的技能有限,但其他地区仍然很好。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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