Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS)
对流组织与季风降水、大气、地表和海洋的相互作用 (INCOMPASS)
基本信息
- 批准号:NE/L013819/1
- 负责人:
- 金额:$ 57.4万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2015
- 资助国家:英国
- 起止时间:2015 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The monsoon supplies the majority of water for agriculture and industry in South Asia, and is therefore critical to the well-being of a billion people. Active and break periods in the monsoon have a major influence on the success of farming, while year-to-year variations in the rainfall have economic consequences on an international scale. The growing population and developing economy mean that understanding and predicting the monsoon is therefore vital. Despite this, our capability to model the monsoon, and to make forecasts on scales from days to the season ahead is limited by large errors that develop quickly. The relatively poor performance of weather prediction models over India is due to a very strong and complex relationship between the land, ocean and atmosphere, which are linked by the process of convection, in the form of the rain-bringing cumulonimbus clouds. Forecast errors occur primarily because the convective clouds are not accurately linked to the large-scale circulation or to the surface conditions, and these errors persist to long time scales. Worldwide, weather and climate forecast models are gaining resolution, and yet the errors in monsoon rainfall are not diminishing. A lack of detailed observations of the land, ocean and atmospheric parts of the monsoon system, on a range of temporal and spatial scales, is preventing a more thorough understanding of processes in monsoon convective clouds and at the land surface, and their interaction with the large-scale circulation. This project will use a programme of new measurements over India and the adjacent oceans to advance monsoon forecasting capability in the Indo-UK community. The first detachment of the FAAM research aircraft to India, in combination with an intensive ground-based observation campaign, will gather new observations of the land surface, the boundary layer structure over land and ocean, and atmospheric profiles. We will institute a new long-term series of measurements of energy and water exchanges at the land surface. Research measurements from one monsoon season will be combined with long-term observations on the Indian operational networks. Observations will be focused on two transects: in the northern plains of India, covering a range of surface types from irrigated to rain-fed agriculture, and wet to dry climatic zones; and across the Western Ghats, with transitions from land to ocean and across orography. The observational analysis will represent a unique and unprecedented characterization of monsoon processes linking the land, ocean and atmospheric patterns which control the rainfall. Long-term measurements will allow the computation of statistical relationships between the various factors. The observational analysis will feed directly into improved forecasting at the Met Office and NCMRWF. The Met Office Unified Model, which is used for weather forecasting at both institutions, will be set up in a range of different ways for the observational period. In particular, we will pioneer the test development of a new 100m-resolution atmospheric model, which we expect to greatly improve the representation of land-ocean-atmosphere interactions. Another priority will be to improve land surface modelling in monsoon forecasts. By comparing the results of the very high resolution models on small domains with lower-resolution models representing the global weather patterns, it will be possible to describe the key processes controlling monsoon rainfall, and to indicate how these need to be represented in different applications, such as weather predictions or climate predictions. Through model evaluation at a range of scales, the development of simple theoretical understanding of the rainfall processes, and working with groups responsible for operational model improvement, the project will lead directly to improvements in monsoon forecasts. By improving rainfall prediction, we expect the work to have an economic impact in India and internationally.
季风为南亚的农业和工业提供了大部分水,因此对10亿人的福祉至关重要。季风的活跃期和间歇期对耕作的成功有重大影响,而降雨量的年际变化在国际范围内具有经济后果。不断增长的人口和发展中的经济意味着了解和预测季风因此至关重要。尽管如此,我们模拟季风的能力,以及在未来几天到下一个季节的范围内做出预测的能力,都受到快速发展的大误差的限制。印度上空天气预报模式的表现相对较差,是因为陆地、海洋和大气之间的关系非常强大和复杂,这些关系通过对流过程以带来降雨的积雨云的形式联系在一起。预报误差的产生主要是因为对流云没有准确地与大尺度环流或地面条件联系在一起,而且这些误差在长时间尺度上持续存在。在世界范围内,天气和气候预报模型的分辨率正在提高,但季风降雨的误差并没有减少。由于在一系列时间和空间尺度上缺乏对季风系统的陆地、海洋和大气部分的详细观测,因此无法更透彻地了解季风对流云和陆地表面的过程及其与大尺度环流的相互作用。该项目将在印度和邻近海洋上使用新的测量方案,以提高印度-英国社区的季风预报能力。FAAM研究飞机前往印度的第一支队,结合密集的地面观测活动,将收集对陆地表面、陆地和海洋上的边界层结构以及大气剖面的新观测。我们将建立一系列新的长期陆面能量和水交换测量方法。对一个季风季的研究测量将与对印度业务网络的长期观测结合起来。观测将集中在两个样带上:在印度北部平原,覆盖从灌溉到雨水灌溉农业以及从潮湿到干燥气候带的一系列地表类型;以及跨越西高止山脉,从陆地过渡到海洋和跨越地形。观测分析将代表着季风过程的独特和史无前例的特征,这些季风过程连接着控制降雨的陆地、海洋和大气模式。长期测量将允许计算各种因素之间的统计关系。观测分析将直接为气象局和NCMRWF改进的预报提供信息。气象局统一模式用于两个机构的天气预报,将在观测期以一系列不同的方式建立。特别是,我们将率先测试开发一种新的100米分辨率的大气模式,我们预计这将极大地改善陆地-海洋-大气相互作用的表示。另一个优先事项将是改进季风预报中的陆地表面模型。通过比较小区域上分辨率很高的模式与代表全球天气模式的分辨率较低的模式的结果,将有可能描述控制季风降雨的关键过程,并指出在天气预报或气候预测等不同应用中需要如何表示这些过程。通过在一系列尺度上进行模式评估,发展对降雨过程的简单理论理解,并与负责改进业务模式的小组合作,该项目将直接导致季风预报的改进。通过改进降雨预报,我们预计这项工作将对印度和国际经济产生影响。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Spatial and temporal variability in energy and water vapour fluxes observed at seven sites on the Indian subcontinent during 2017
- DOI:10.1002/qj.3688
- 发表时间:2019-12
- 期刊:
- 影响因子:8.9
- 作者:G. Bhat;R. Morrison;C. Taylor;B. Bhattacharya;S. Paleri;D. Desai;J. Evans;Sandeep Pattnaik;M. Sekhar;R. Nigam;A. Sattar;S. Angadi;D. Kacha;A. Patidar;S. Tripathi;K. V. Krishnan;A. Sisodiya
- 通讯作者:G. Bhat;R. Morrison;C. Taylor;B. Bhattacharya;S. Paleri;D. Desai;J. Evans;Sandeep Pattnaik;M. Sekhar;R. Nigam;A. Sattar;S. Angadi;D. Kacha;A. Patidar;S. Tripathi;K. V. Krishnan;A. Sisodiya
A coupled ground heat flux-surface energy balance model of evaporation using thermal remote sensing observations
利用热遥感观测的蒸发地热通量-地表能量耦合平衡模型
- DOI:10.5194/bg-19-5521-2022
- 发表时间:2022
- 期刊:
- 影响因子:4.9
- 作者:Bhattacharya B
- 通讯作者:Bhattacharya B
The role of mid-tropospheric moistening and land-surface wetting in the progression of the 2016 Indian monsoon
对流层中层湿润和陆地表面湿润在 2016 年印度季风进展中的作用
- DOI:10.1002/qj.4183
- 发表时间:2021
- 期刊:
- 影响因子:8.9
- 作者:Menon A
- 通讯作者:Menon A
The effect of Ganges river basin irrigation on pre-monsoon rainfall
恒河流域灌溉对季风前降水的影响
- DOI:10.1002/qj.4218
- 发表时间:2021
- 期刊:
- 影响因子:8.9
- 作者:Fletcher J
- 通讯作者:Fletcher J
Interaction of convective organization with monsoon precipitation, atmosphere, surface and sea: The 2016 INCOMPASS field campaign in India
- DOI:10.1002/qj.3633
- 发表时间:2019-10
- 期刊:
- 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
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Christopher Taylor其他文献
Experimental respiratory Marburg virus haemorrhagic fever infection in the common marmoset (Callithrix jacchus)
普通狨猴(Callithrix jacchus)实验性呼吸道马尔堡病毒出血热感染
- DOI:
10.1111/iep.12018 - 发表时间:
2013 - 期刊:
- 影响因子:3
- 作者:
S. Smither;M. Nelson;L. Eastaugh;T. Laws;Christopher Taylor;Simon A. Smith;F. Salguero;M. Lever - 通讯作者:
M. Lever
Transgenic Neuroscience Research
转基因神经科学研究
- DOI:
10.17226/25362 - 发表时间:
2019 - 期刊:
- 影响因子:3
- 作者:
S. Smither;M. Nelson;L. Eastaugh;T. Laws;Christopher Taylor;Simon A. Smith;F. Salguero;M. Lever - 通讯作者:
M. Lever
Assessment of antimicrobial peptide LL-37 as a post-exposure therapy to protect against respiratory tularemia in mice
抗菌肽 LL-37 作为暴露后治疗预防小鼠呼吸道兔热病的评估
- DOI:
10.1016/j.peptides.2013.02.024 - 发表时间:
2013 - 期刊:
- 影响因子:3
- 作者:
H. Flick;M. Fox;K. Hamblin;Mark I. Richards;D. Jenner;T. Laws;A. Phelps;Christopher Taylor;Sarah V. Harding;D. Ulaeto;H. Atkins - 通讯作者:
H. Atkins
The Development of an Experimental Model of Contaminated Muscle Injury in Rabbits
兔污染性肌肉损伤实验模型的建立
- DOI:
10.1177/1534734612465623 - 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
W. Eardley;K. R. Martin;Christopher Taylor;E. Kirkman;J. Clasper;S. Watts - 通讯作者:
S. Watts
Mentor-mentee relationships in the changing world of medical and surgical training: Do mentors still know who is who?
- DOI:
10.1016/j.ijsu.2012.06.370 - 发表时间:
2012-01-01 - 期刊:
- 影响因子:
- 作者:
Shofiq Islam;Jennifer Cole;Alexandra Lee;Christopher Taylor;Brian Isgar - 通讯作者:
Brian Isgar
Christopher Taylor的其他文献
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{{ truncateString('Christopher Taylor', 18)}}的其他基金
Nowcasting with Artificial Intelligence for African Rainfall: NAIAR
利用人工智能预测非洲降雨量:NAIAR
- 批准号:
NE/Y000420/1 - 财政年份:2024
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
Humid heat extremes in the Global (sub)Tropics (H2X)
全球(亚)热带地区的极端湿热(H2X)
- 批准号:
NE/X013596/1 - 财政年份:2023
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
Manufacturing the Future with Supercritical CO2 and Minimum Quantity Lubrication
用超临界二氧化碳和微量润滑制造未来
- 批准号:
EP/W002175/1 - 财政年份:2022
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
Land Impacts on Mesoscale Convective Systems
土地对中尺度对流系统的影响
- 批准号:
NE/W001888/1 - 财政年份:2022
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
CC* Compute: Compute Cluster for Computational Sciences at Louisiana State University Health Sciences Center – New Orleans (LSUHSC-NO)
CC* 计算:路易斯安那州立大学健康科学中心 — 新奥尔良 (LSUHSC-NO) 的计算科学计算集群
- 批准号:
2018936 - 财政年份:2020
- 资助金额:
$ 57.4万 - 项目类别:
Standard Grant
CSBR: Natural History Collections: Integrating the Orphaned Southern Illinois University Fluid Vertebrate Collections into the Illinois Natural History Survey Collections
CSBR:自然历史收藏:将南伊利诺伊大学孤儿流体脊椎动物收藏整合到伊利诺伊州自然历史调查收藏中
- 批准号:
1916255 - 财政年份:2019
- 资助金额:
$ 57.4万 - 项目类别:
Standard Grant
RAPID: Transferring the Southern Illinois University Fluid Vertebrate Collections to the Illinois Natural History Survey
RAPID:将南伊利诺伊大学流体脊椎动物收藏转移至伊利诺伊州自然历史调查
- 批准号:
1529366 - 财政年份:2015
- 资助金额:
$ 57.4万 - 项目类别:
Standard Grant
IMPALA: Improving Model Processes for African cLimAte
IMPALA:改进非洲气候模型流程
- 批准号:
NE/M017230/1 - 财政年份:2015
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
Vegetation Effects on Rainfall in West Africa (VERA)
植被对西非降雨量的影响 (VERA)
- 批准号:
NE/M004295/1 - 财政年份:2015
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
相似海外基金
Collaborative Research: AGS-FIRP Track 2--Process Investigation of Clouds and Convective Organization over the atLantic Ocean (PICCOLO)
合作研究:AGS-FIRP Track 2——大西洋上空云和对流组织的过程调查(PICCOLO)
- 批准号:
2331199 - 财政年份:2024
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2331200 - 财政年份:2024
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Continuing Grant
Collaborative Research: AGS-FIRP Track 2--Process Investigation of Clouds and Convective Organization over the atLantic Ocean (PICCOLO)
合作研究:AGS-FIRP Track 2——大西洋上空云和对流组织的过程调查(PICCOLO)
- 批准号:
2331202 - 财政年份:2024
- 资助金额:
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Collaborative Research: Dynamics of Unsaturated Downdrafts, Cold Pools, and Their Roles in Convective Initiation and Organization
合作研究:不饱和下降气流、冷池的动力学及其在对流引发和组织中的作用
- 批准号:
1649819 - 财政年份:2017
- 资助金额:
$ 57.4万 - 项目类别:
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Collaborative Research: Dynamics of Unsaturated Downdrafts, Cold Pools, and Their Roles in Convective Initiation and Organization
合作研究:不饱和下降气流、冷池的动力学及其在对流引发和组织中的作用
- 批准号:
1649770 - 财政年份:2017
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Yr2 Underspend: Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea
第二年支出不足:对流组织与季风降水、大气、地表和海洋的相互作用
- 批准号:
NE/P003117/1 - 财政年份:2016
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Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS)
对流组织与季风降水、大气、地表和海洋的相互作用 (INCOMPASS)
- 批准号:
NE/L013843/1 - 财政年份:2015
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$ 57.4万 - 项目类别:
Research Grant
Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS)
对流组织与季风降水、大气、地表和海洋的相互作用 (INCOMPASS)
- 批准号:
NE/L01386X/1 - 财政年份:2015
- 资助金额:
$ 57.4万 - 项目类别:
Research Grant
Collaborative Research: Convective Organization and Climate
合作研究:对流组织与气候
- 批准号:
1032241 - 财政年份:2010
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$ 57.4万 - 项目类别:
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Collaborative Research: Convective Organization and Climate
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- 批准号:
1032244 - 财政年份:2010
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