Indo-US Advanced Workshop and Colloquium on Modeling and Data Assimilation for Tropical Cyclone Predictions; Odisha, India; July 9-14, 2012
印度-美国热带气旋预测建模和数据同化高级研讨会和学术讨论会;
基本信息
- 批准号:1239642
- 负责人:
- 金额:$ 1.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-05-15 至 2013-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award provides support for graduate students and early-career scientists to attend a workshop on data assimilation and numerical modeling for tropical cyclone (TC) predictions, held at the Indian Institute of Technology Bhubaneshwar in Odisha, India, 9-14 July 2012. The workshop is organized through the Indo-US Science and Technology Forum and is part of an ongoing collaboration between the US and Indian operational research communities, formed through a Memorandum of Understanding between the Indian Ministry of Earth Sciences and the US National Oceanographic and Atmospheric Administration. The workshop has a lecture format, intended to educate a joint US-Indian workforce of researchers and operational TC forecasters, with an agenda that begins with fundamental observations and theory and proceeds through advanced modeling concepts, principles and applications of data assimilation, forecasting technologies, and societal impacts and needs. Additional hands-on activities permit active learning through case studies that can become active research topics for participants.Funding for the workshop has broader impacts in three ways: first, by bringing together an international group of researchers and forecasters to advance international cooperation in an important scientific area; second, by contributing to the education of students and early-career scientists to develop the next generation of the scientific workforce in this area; and third, by helping to advance the state of the science in an area that has tremendous societal relevance, given the large segment of the population living in areas that are at risk from landfalling hurricanes.
该奖项为研究生和初出茅庐的科学家提供支持,让他们参加2012年7月9日至14日在印度奥迪沙的印度理工学院布巴内什瓦尔举办的热带气旋(TC)预测数据同化和数值模拟研讨会。这次研讨会是通过印度-美国科学和技术论坛组织的,是美国和印度运筹界正在进行的合作的一部分,该合作是通过印度地球科学部和美国国家海洋和大气管理局之间的谅解备忘录形成的。研讨会有讲座形式,旨在教育美国和印度联合的研究人员和业务TC预报员,议程从基本观测和理论开始,通过数据同化、预报技术和社会影响和需求的高级建模概念、原理和应用进行。通过更多的实践活动,可以通过案例研究积极学习,这些案例研究可以成为参与者的积极研究课题。为讲习班提供资金可以在三个方面产生更广泛的影响:第一,召集一个国际研究人员和预报员小组,推进一个重要科学领域的国际合作;第二,促进对学生和职业早期科学家的教育,以培养该领域的下一代科学工作者;第三,鉴于很大一部分人口生活在面临飓风登陆风险的地区,因此有助于推动一个具有巨大社会意义的领域的科学状况。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Dev Niyogi其他文献
Improving the Forecasting of Winter Wheat Yields in Northern China with Machine Learning–Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction
- DOI:
https://doi.org/10.3390/rs14071707 - 发表时间:
2022 - 期刊:
- 影响因子:5
- 作者:
Junjun Cao;Huijing Wang;Jinxiao Li;Qun Tian;Dev Niyogi - 通讯作者:
Dev Niyogi
Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook
- DOI:
10.1007/s12273-024-1112-y - 发表时间:
2024-03-11 - 期刊:
- 影响因子:5.900
- 作者:
Nilabhra Mondal;Prashant Anand;Ansar Khan;Chirag Deb;David Cheong;Chandra Sekhar;Dev Niyogi;Mattheos Santamouris - 通讯作者:
Mattheos Santamouris
Unravelling large-scale patterns and drivers of biodiversity in dry rivers
揭示干旱河流中生物多样性的大规模模式和驱动因素
- DOI:
10.1038/s41467-024-50873-1 - 发表时间:
2024-08-22 - 期刊:
- 影响因子:15.700
- 作者:
Arnaud Foulquier;Thibault Datry;Roland Corti;Daniel von Schiller;Klement Tockner;Rachel Stubbington;Mark O. Gessner;Frédéric Boyer;Marc Ohlmann;Wilfried Thuiller;Delphine Rioux;Christian Miquel;Ricardo Albariño;Daniel C. Allen;Florian Altermatt;Maria Isabel Arce;Shai Arnon;Damien Banas;Andy Banegas-Medina;Erin Beller;Melanie L. Blanchette;Joanna Blessing;Iola Gonçalves Boëchat;Kate Boersma;Michael Bogan;Núria Bonada;Nick Bond;Katherine Brintrup;Andreas Bruder;Ryan Burrows;Tommaso Cancellario;Cristina Canhoto;Stephanie Carlson;Núria Cid;Julien Cornut;Michael Danger;Bianca de Freitas Terra;Anna Maria De Girolamo;Rubén del Campo;Verónica Díaz Villanueva;Fiona Dyer;Arturo Elosegi;Catherine Febria;Ricardo Figueroa Jara;Brian Four;Sarig Gafny;Rosa Gómez;Lluís Gómez-Gener;Simone Guareschi;Björn Gücker;Jason Hwan;J. Iwan Jones;Patrick S. Kubheka;Alex Laini;Simone Daniela Langhans;Bertrand Launay;Guillaume Le Goff;Catherine Leigh;Chelsea Little;Stefan Lorenz;Jonathan Marshall;Eduardo J. Martin Sanz;Angus McIntosh;Clara Mendoza-Lera;Elisabeth I. Meyer;Marko Miliša;Musa C. Mlambo;Manuela Morais;Nabor Moya;Peter Negus;Dev Niyogi;Iluminada Pagán;Athina Papatheodoulou;Giuseppe Pappagallo;Isabel Pardo;Petr Pařil;Steffen U. Pauls;Marek Polášek;Pablo Rodríguez-Lozano;Robert J. Rolls;Maria Mar Sánchez-Montoya;Ana Savić;Oleksandra Shumilova;Kandikere R. Sridhar;Alisha Steward;Amina Taleb;Avi Uzan;Yefrin Valladares;Ross Vander Vorste;Nathan J. Waltham;Dominik H. Zak;Annamaria Zoppini - 通讯作者:
Annamaria Zoppini
A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning
利用现场测量和深度学习,使用美国宇航局 SMAP 四级数据进行临近预报土壤湿度的框架
- DOI:
10.1016/j.ejrh.2024.102020 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:5.000
- 作者:
Hassan Dashtian;Michael H. Young;Bissett E. Young;Tyson McKinney;Ashraf M. Rateb;Dev Niyogi;Sujay V. Kumar - 通讯作者:
Sujay V. Kumar
Assessment of the WRF model configuration optimization in predicting the heavy rainfall over urban city Bhubaneswar, India
- DOI:
10.1007/s43762-025-00180-2 - 发表时间:
2025-05-06 - 期刊:
- 影响因子:3.200
- 作者:
Alugula Boyaj;N. R. Karrevula;Madhusmita Swain;P. Sinha;Raghu Nadimpalli;Sahidul Islam;V. Vinoj;Manoj Khare;Dev Niyogi;U. C. Mohanty - 通讯作者:
U. C. Mohanty
Dev Niyogi的其他文献
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{{ truncateString('Dev Niyogi', 18)}}的其他基金
RAPID: 2018 Hurricane Season -- Assessing the Role of Antecedent Land State on Hurricane Post-landfall Rainfall
RAPID:2018 年飓风季节——评估先前陆地状态对飓风登陆后降雨量的作用
- 批准号:
2228004 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Standard Grant
RAPID: 2018 Hurricane Season -- Assessing the Role of Antecedent Land State on Hurricane Post-landfall Rainfall
RAPID:2018 年飓风季节——评估先前陆地状态对飓风登陆后降雨量的作用
- 批准号:
1902642 - 财政年份:2018
- 资助金额:
$ 1.75万 - 项目类别:
Standard Grant
Planning for the Ozark Research Field Station at Missouri S&T
密苏里南州奥扎克研究现场站规划
- 批准号:
1723147 - 财政年份:2017
- 资助金额:
$ 1.75万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Rainfall in Urban Environments
合作研究:城市环境中的极端降雨
- 批准号:
1522494 - 财政年份:2015
- 资助金额:
$ 1.75万 - 项目类别:
Standard Grant
CAREER: Assessing the Role of Land Surface Processes on the Climatic Changes in the Heavy Rain and Convection over the Indian Monsoon Region
职业:评估陆地表面过程对印度季风区暴雨和对流气候变化的作用
- 批准号:
0847472 - 财政年份:2009
- 资助金额:
$ 1.75万 - 项目类别:
Continuing Grant
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