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

AGU查普曼水循环遥感会议：传感器到科学到社会将于2024年2月13日至16日在夏威夷的檀香山举行。这次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。会议将汇集国际和不同的专业知识，探讨科学与社会应用之间的关系。查普曼会议将包括约200名与会者，其中一半以上将是早期的职业生涯，包括研究生，博士后和终身教职员工。参与者支助的目标是扩大在地球和空间科学中代表性不足的人口群体、有经济需要的申请人以及以前没有在本国以外学习过的人的参与。在过去十年中，传感器技术、卫星飞行任务、建模和造福社会的应用等领域取得了重大进展，卫星观测更加频繁，分辨率也更高，商业卫星目前已达数百颗，私营企业目前正专注于遥感在水科学方面的应用。大数据与AI/ML方法相结合，提高了数据同化的能力，为复杂的建模系统提供信息。本次会议将召集研究界的广泛交流，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培养新的想法。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

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.