Forecasting the monsoon on daily to seasonal time‐scales in support of a field campaign
Forecasting the monsoon on daily to seasonal time‐scales in support of a field campaign
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从每日到季节的时间尺度预测季风以支持现场活动
DOI：
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发表时间：
2019
影响因子：
8.9
通讯作者：
Kieran M. R. Hunt
中科院分区：
文献类型：
--
作者：
G. Martin;M. Brooks;B. Johnson;S. Milton;S. Webster;A. Jayakumar;A. Mitra;D. Rajan;Kieran M. R. Hunt
一个大型野外活动的成功规划和执行依赖于一系列时间尺度上天气预报的可用性和可靠性。在这里，我们描述了为支持2016年在印度进行的实地活动而生成的各种预报产品，作为对流组织与季风降水，大气，地面和海洋（INCOMPASS）项目的一部分。我们展示了每天从预测中生成并提供给使命科学家的一系列图表的示例，并描述了如何使用这些图表来规划飞行。我们强调了从一系列模型分辨率和配置中获得预报的好处;这些可以对不确定性做出判断，特别是在深对流降雨的数量和位置方面，这是飞行规划的重要考虑因素。最后，我们讨论了预报活动的遗产，这不仅提高了我们对季风预报的理解，而且为整个2016年季风季节创建了一个大型的目标模型预报产品数据库。研究人员可利用这些数据与现场观测数据进行比较，并在今后进行建模研究。
The successful planning and execution of a major field campaign relies on the availability and reliability of weather forecasts on a range of time‐scales. Here, we describe the wide range of forecast products generated in support of a field campaign that took place in India in 2016 as part of the Interaction of Convective Organization with Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) project. We show examples of the suite of plots generated every day from the forecasts and supplied to the mission scientists, and describe how these were used to plan the flights. We highlight the benefits of having access to forecasts from a range of model resolutions and configurations; these allowed judgements to be made about uncertainty, particularly in the amount and location of deep convective rainfall, which is an important consideration for flight planning. Finally, we discuss the legacy of the forecasting activity, which has not only advanced our understanding of monsoon forecasting but also created a large database of targeted model forecast products for the whole of the 2016 monsoon season. These can be used by researchers for comparisons with in situ observations as well as future modelling studies.
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影响因子：
8.9
作者：
A. Turner;G. Bhat;G. Martin;D. Parker;C. Taylor;A. Mitra;S. Tripathi;S. Milton;E. Rajagopal;Jonathan G. Evans;R. Morrison;S. Pattnaik;M. Sekhar;B. Bhattacharya;R. Madan;M. Govindankutty;J. Fletcher;P. Willetts;A. Menon;J. H. Marsham;Kieran M. R. Hunt;T. Chakraborty;Geet George;M. Krishnan;C. Sarangi;D. Belušić;L. Garcia-Carreras;M. Brooks;S. Webster;J. Brooke;C. Fox;R. Harlow;J. Langridge;A. Jayakumar;S. Böing;O. Halliday;J. Bowles;J. Kent;D. O’Sullivan;A. Wilson;C. Woods;S. Rogers;R. Smout‐Day;D. Tiddeman;D. Desai;R. Nigam;S. Paleri;A. Sattar;M. Smith;D. Anderson;S. Bauguitte;R. Carling;C. Chan;S. Devereau;G. Gratton;D. Macleod;G. Nott;M. Pickering;H. Price;S. Rastall;C. Reed;J. Trembath;A. Woolley;A. Volonté;B. New
通讯作者：
A. Turner;G. Bhat;G. Martin;D. Parker;C. Taylor;A. Mitra;S. Tripathi;S. Milton;E. Rajagopal;Jonathan G. Evans;R. Morrison;S. Pattnaik;M. Sekhar;B. Bhattacharya;R. Madan;M. Govindankutty;J. Fletcher;P. Willetts;A. Menon;J. H. Marsham;Kieran M. R. Hunt;T. Chakraborty;Geet George;M. Krishnan;C. Sarangi;D. Belušić;L. Garcia-Carreras;M. Brooks;S. Webster;J. Brooke;C. Fox;R. Harlow;J. Langridge;A. Jayakumar;S. Böing;O. Halliday;J. Bowles;J. Kent;D. O’Sullivan;A. Wilson;C. Woods;S. Rogers;R. Smout‐Day;D. Tiddeman;D. Desai;R. Nigam;S. Paleri;A. Sattar;M. Smith;D. Anderson;S. Bauguitte;R. Carling;C. Chan;S. Devereau;G. Gratton;D. Macleod;G. Nott;M. Pickering;H. Price;S. Rastall;C. Reed;J. Trembath;A. Woolley;A. Volonté;B. New
影响因子：
8.9
作者：
J. Chagnon;S. Gray;J. Methven
通讯作者：
J. Chagnon;S. Gray;J. Methven
DOI：
10.5194/gmd-2016-194-supplement
发表时间：
2017
期刊：
--
影响因子：
--
作者：
D. Walters;I. Boutle;M. Brooks;T. Melvin;R. Stratton;S. Vosper;H. Wells;K. Williams;N. Wood
通讯作者：
D. Walters;I. Boutle;M. Brooks;T. Melvin;R. Stratton;S. Vosper;H. Wells;K. Williams;N. Wood
影响因子：
3.2
作者：
Woodhams, Beth J.;Birch, Cathryn E.;Boyd, Douglas F. A.
通讯作者：
Boyd, Douglas F. A.
影响因子：
6.3
作者：
Lamarque, J-F;Dentener, F.;Nolan, M.
通讯作者：
Nolan, M.