12th International Precipitation Conference (IPC12)-Precipitation estimation and prediction at local, regional and global scales: Advances in hydroclimatology and impact studies

第十二届国际降水会议（IPC12）-地方、区域和全球尺度的降水估算和预测：水文气候学和影响研究的进展

• 批准号: 1928724
• 负责人: Efi Foufoula-Georgiou
• 金额: $ 3.5万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-15 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928724&HistoricalAwards=false
• 关键词: 12th; International; Precipitation; Conference; IPC12

Precipitation is difficult to predict both locally and globally. Scientists have identified many challenges in precipitation research. The International Precipitation Conference was established to bring together researchers from various fields to discuss these challenges. Scientists and engineers discuss challenges and opportunities facing the research community at the conference. The researchers develop collaborations during this conference. The conference supports early career scientists and provides training workshops. Precipitation remains one of the most challenging variables to model and predict at local, regional and global scales with significant implications for our ability to quantify water and energy cycle dynamics, inform decision making, and predict extremes such as floods and droughts and their hydro-geomorphic hazards. The international community has acknowledged the challenges in precipitation research and has established the International Precipitation Conference (starting in 1986) to bring together the atmospheric, climate, hydrologic and applied water resources engineering communities to discuss challenges and develop collaborations that advance modeling and prediction. Building on the previous International Precipitation Conferences, this conference will bring together an international group of scientists and engineers to integrate research efforts, discuss challenges and opportunities facing the community, mentor young scientists, and craft future directions. The conference engages and supports early career scientists and graduate students in an international collaborative environment and fosters opportunities for future research collaborations. The conference program includes several training workshops.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

当地和全球的降水量都很难预测。科学家们发现了降水研究中的许多挑战。国际降水会议的成立是为了汇集各个领域的研究人员来讨论这些挑战。科学家和工程师在会议上讨论研究界面临的挑战和机遇。研究人员在这次会议期间开展了合作。该会议支持早期职业科学家并提供培训研讨会。降水仍然是在地方、区域和全球范围内建模和预测最具挑战性的变量之一，对我们量化水和能源循环动态、为决策提供信息以及预测洪水和干旱等极端情况及其水文地貌的能力具有重大影响危险。 国际社会已经认识到降水研究面临的挑战，并成立了国际降水会议（从 1986 年开始），将大气、气候、水文和应用水资源工程界聚集在一起，讨论挑战并开展合作，推进建模和预测。在往届国际沉淀会议的基础上，本次会议将汇集国际科学家和工程师小组，整合研究工作，讨论社区面临的挑战和机遇，指导年轻科学家并制定未来方向。该会议在国际合作环境中吸引和支持早期职业科学家和研究生，并为未来的研究合作创造机会。 会议计划包括多个培训研讨会。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

How well do multi-satellite products capture the space-time dynamics of precipitation? Part I: five products assessed via a wavenumber-frequency decomposition

多卫星产品捕获降水时空动态的效果如何？

• DOI: 10.1175/jhm-d-21-0075.1
• 发表时间: 2021-08
• 期刊: Journal of Hydrometeorology
• 影响因子: 3.8
• 作者: Guilloteau, Clement;Foufoula;Kirstetter, Pierre;Tan, Jackson;Huffman, George J.
• 通讯作者: Huffman, George J.

Comparison of Local, Regional, and Scaling Models for Rainfall Intensity–Duration–Frequency Analysis

降雨强度、持续时间和频率分析的地方、区域和尺度模型比较

• DOI: 10.1175/jamc-d-20-0094.1
• 发表时间: 2020-09
• 期刊: Journal of Applied Meteorology and Climatology
• 影响因子: 3
• 作者: Mascaro; Giuseppe
• 通讯作者: Giuseppe

Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System

将卫星降水不确定性纳入滑坡灾害临近预报系统

• DOI: 10.1175/jhm-d-19-0295.1
• 发表时间: 2020-08
• 期刊: Journal of Hydrometeorology
• 影响因子: 3.8
• 作者: Hartke, Samantha H.;Wright, Daniel B.;Kirschbaum, Dalia B.;Stanley, Thomas A.;Li, Zhe
• 通讯作者: Li, Zhe

An EnKF-based method to produce rainfall maps from simulated satellite-to-ground MW-link signal attenuation

一种基于 EnKF 的方法，通过模拟卫星到地面 MW 链路信号衰减生成降雨图

• DOI: 10.1175/jhm-d-20-0128.1
• 发表时间: 2021-03
• 期刊: Journal of Hydrometeorology
• 影响因子: 3.8
• 作者: Ortolani, Alberto;Caparrini, Francesca;Melani, Samantha;Baldini, Luca;Giannetti, Filippo
• 通讯作者: Giannetti, Filippo

Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall

基于对象的数据驱动和物理驱动极端降雨卫星估算的比较

• DOI: 10.1175/jhm-d-20-0041.1
• 发表时间: 2020-12
• 期刊: Journal of Hydrometeorology
• 影响因子: 3.8
• 作者: Li, Zhe;Wright, Daniel B.;Zhang, Sara Q.;Kirschbaum, Dalia B.;Hartke, Samantha H.
• 通讯作者: Hartke, Samantha H.