Conference: AGU Chapman Conference - Remote Sensing of the Water Cycle: Sensors to Science to Society

AGU Chapman水循环遥感会议：从传感器到科学再到社会，将于2024年2月13日至16日在夏威夷火奴鲁鲁举行。查普曼会议的目的是利用卫星遥感观测陆地水循环和水文模型的力量，造福社会。这次会议将汇集国际和不同的专业知识，以探索科学和社会应用之间的关系。查普曼会议将有大约200名参与者，其中一半以上将是职业生涯早期，包括研究生、博士后和终身教职前的教师。参与者支助的目标是扩大在地球和空间科学中任职人数不足的人口群体、有经济需要的申请者以及以前从未在本国以外留学的人的参与。在过去的十年里，在传感器技术、卫星任务、建模和造福社会的应用领域取得了重大进展。 卫星观测的频率更高、分辨率更高，商业卫星现在有数百颗，私营企业现在专注于将遥感应用于水科学。大数据与AI/ML方法相结合，增加了数据同化的能力，为复杂的建模系统提供信息。这次会议将召集广泛的研究界，探讨与水循环遥感相关的最紧迫的研究问题，并就这些努力如何造福社会提出新的想法。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The AGU Chapman Conference on Remote Sensing of the Water Cycle: Sensors to Science to Society will be held in Honolulu, Hawaii, from February 13 to 16, 2024. The purpose of this Chapman Conference is to harness the power of satellite remote sensing observations of the terrestrial water cycle and hydrological models to benefit society. The conference will bring together international and diverse expertise to explore relationships between science and societal applications. The Chapman Conference will include about 200 participants, of which more than half will be early career, including graduate students, postdocs, and pre-tenure faculty. The goal of participant support is to broaden participation by demographic groups underrepresented in the Earth and space sciences, applicants with financial needs, and those who have not previously studied outside of their home country. In the past decade there have been significant advances in the fields of sensor technology, satellite missions, modeling and applications to benefit society. Satellite observations are made more frequently and at higher resolutions, commercial satellites now number in the hundreds, and private businesses are now focused on remote sensing applications to water science. Big data coupled with AI/ML methods increases capacity for data assimilation to inform complex modeling systems. This conference will convene a broad intersection of the research community to explore the most pressing research questions related to remote sensing of the water cycle and to foster new ideas on how these efforts can benefit society.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.