更正“为发展未来登革热早期预警系统而对越南中期降水和温度的熟练概率预报”

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-12-04 DOI:10.1002/met.70018
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引用次数: 0

摘要

Main, L.; Sparrow, S.; Weisheimer, A.;Wright, M.(2024)熟练的越南中期概率降水和温度预报,用于未来登革热预警系统的发展。气象应用,31(4),e2222。可从:https://doi.org/10.1002/met.2222We为这个错误道歉。
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Correction to “Skilful probabilistic medium-range precipitation and temperature forecasts over Vietnam for the development of a future dengue early warning system”

Main, L., Sparrow, S., Weisheimer, A., & Wright, M. (2024) Skilful probabilistic medium-range precipitation and temperature forecasts over Vietnam for the development of a future dengue early warning system. Meteorological Applications, 31(4), e2222. Available from: https://doi.org/10.1002/met.2222

We apologize for this error.

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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.
期刊最新文献
Estimation of extreme wind speeds with different return periods in the Northwest Pacific Impact of INSAT-3D land surface temperature assimilation via simplified extended Kalman filter-based land data assimilation system on forecasting of surface fields over India Improving blended probability forecasts with neural networks Correction to “Skilful probabilistic medium-range precipitation and temperature forecasts over Vietnam for the development of a future dengue early warning system” Drought forecasting with regionalization of climate variables and generalized linear model
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