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Improved reanalysis and prediction of atmospheric fields over the Southern Ocean using campaign-based radiosonde observations


Sato, K and Inoue, J and Alexander, SP and McFarquhar, G and Yamazaki, A, Improved reanalysis and prediction of atmospheric fields over the Southern Ocean using campaign-based radiosonde observations, Geophysical Research Letters, 45, (20) pp. 11,406-11,413. ISSN 0094-8276 (2018) [Refereed Article]


Copyright Statement

Copyright 2018 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

DOI: doi:10.1029/2018GL079037


This study investigated the impact of radiosonde observations from the Southern Ocean obtained by the Australian R/V Aurora Australis on the ALERA2 experimental ensemble reanalysis data set and ensemble forecast experiment. An observing system experiment (OSE) that included additional ship‐launched radiosonde data captured the atmospheric structure over the Southern Ocean. ALERA2 without additional radiosondes had positive temperature biases exceeding 7C in the upper troposphere when low‐pressure cyclonic systems passed over the ship. The spread in the upper level was reduced by 15% in the OSE, which propagated downstream from the ship's position because of the sparse observing network over southern high latitudes. Comparison of two 63‐member ensemble forecast experiments initialized by ALERA2 and the OSE revealed that prediction of midlatitude cyclone tracks was improved by the realistic representation of upper‐level troughs in the OSE forecast. This confirms that additional radiosondes over the Southern Ocean reduce uncertainty and error in midlatitude cyclone forecasts.

Item Details

Item Type:Refereed Article
Keywords:Southern Ocean, radiosonde, weather forecast, Antarctica
Research Division:Earth Sciences
Research Group:Atmospheric sciences
Research Field:Atmospheric dynamics
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Atmospheric processes and dynamics
UTAS Author:Sato, K (Mr Kazutoshi Sato)
UTAS Author:Alexander, SP (Dr Simon Alexander)
ID Code:134987
Year Published:2018
Web of Science® Times Cited:20
Deposited By:CRC-Antarctic Climate & Ecosystems
Deposited On:2019-09-18
Last Modified:2019-10-14
Downloads:31 View Download Statistics

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