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contributor authorZhang, Fuqing
contributor authorSun, Y. Qiang
contributor authorMagnusson, Linus
contributor authorBuizza, Roberto
contributor authorLin, Shian-Jiann
contributor authorChen, Jan-Huey
contributor authorEmanuel, Kerry
date accessioned2019-10-05T06:51:26Z
date available2019-10-05T06:51:26Z
date copyright1/15/2019 12:00:00 AM
date issued2019
identifier otherJAS-D-18-0269.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263639
description abstractAbstractUnderstanding the predictability limit of day-to-day weather phenomena such as midlatitude winter storms and summer monsoonal rainstorms is crucial to numerical weather prediction (NWP). This predictability limit is studied using unprecedented high-resolution global models with ensemble experiments of the European Centre for Medium-Range Weather Forecasts (ECMWF; 9-km operational model) and identical-twin experiments of the U.S. Next-Generation Global Prediction System (NGGPS; 3 km). Results suggest that the predictability limit for midlatitude weather may indeed exist and is intrinsic to the underlying dynamical system and instabilities even if the forecast model and the initial conditions are nearly perfect. Currently, a skillful forecast lead time of midlatitude instantaneous weather is around 10 days, which serves as the practical predictability limit. Reducing the current-day initial-condition uncertainty by an order of magnitude extends the deterministic forecast lead times of day-to-day weather by up to 5 days, with much less scope for improving prediction of small-scale phenomena like thunderstorms. Achieving this additional predictability limit can have enormous socioeconomic benefits but requires coordinated efforts by the entire community to design better numerical weather models, to improve observations, and to make better use of observations with advanced data assimilation and computing techniques.
publisherAmerican Meteorological Society
titleWhat Is the Predictability Limit of Midlatitude Weather?
typeJournal Paper
journal volume76
journal issue4
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-18-0269.1
journal fristpage1077
journal lastpage1091
treeJournal of the Atmospheric Sciences:;2019:;volume 076:;issue 004
contenttypeFulltext


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