DYNAmics of the Madden-Julian Oscillation (DYNAMO) Legacy Data Products

Madden-Julian 振荡动力学 (DYNAMO) 传统数据产品

• 批准号: 1762255
• 负责人: Shuyi Chen
• 金额: $ 29.6万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762255&HistoricalAwards=false
• 关键词: DYNAmics; Madden; Julian; Oscillation; DYNAMO

This award supports the creation of a legacy dataset for data collected during the DYNAmics of the Madden-julian Oscillation (DYNAMO) field campaign. The goal of DYNAMO was to observe the initiation of the Madden-Julian Oscillation (MJO). The MJO is a large-scale pattern of precipitation and atmospheric circulation that forms in the Indian Ocean and propagates slowly eastward affecting weather and climate across a large portion of the globe. The campaign took place in the Indian Ocean from 1 October 2011 until 9 February 2012 and was a massive undertaking involving ships, aircraft, sounding systems, and an island-based radar "supersite". Several US agencies and international partners were involved, as documented in the abstract for NSF award AGS-1022899. The campaign was a success in that three MJO events occurred during the deployment, of which the first occurred during the Special Observing Period when all the field assets were deployed together. Overall about 10 terabytes of data were collected.Given the success of the campaign and the large investments made in it, a further investment is warranted to enhance the accessibility of the campaign data and facilitate its used by the research community. Three categories of data products will be developed on this award, characterized by the type of instrumentation used to collect the observations: radar-based, aircraft-based, and sounding-based products. A fourth category consists of data products processed in ways consistent with specific interests of the research community, for instance sounding data processed into variables like precipitable water, convective available potential energy, convective inhibition, lifting condensation level, and the level of free convection. The entire collection will be hosted by the Earth Observing Laboratory at the National Center for Atmospheric Research.This project is somewhat unusual in that the goal is to develop and serve a dataset for the research community, rather than to conducted research to address a scientific hypothesis. Thus all of the effort can be regarded as a broader impact to the research community. It should also be noted that the MJO has a number of societal consequences, as it is a dominant driver of weather in the tropics and also affects on the US. Among other impacts, the MJO influences the number of hurricanes that form in the Gulf of Mexico. Research leading to better representation of the MJO in weather forecasting models is thus desirable. In addition, the data products will facilitate research on tropical convection in general, which will be of value for developing better models to predict weather and make projections of future climate change.

该奖项支持为在Madden-Julian Oscillation（DYNAMICS）现场活动期间收集的数据创建遗留数据集。该卫星的目标是观察马登-朱利安振荡（MJO）的开始。 MJO是在印度洋形成的大规模降水和大气环流模式，并缓慢向东传播，影响地球仪大部分地区的天气和气候。 该活动于2011年10月1日至2012年2月9日在印度洋进行，是一项涉及船舶、飞机、探测系统和一个岛屿雷达“超级站点”的大规模行动。 正如NSF奖项AGS-1022899的摘要中所记录的那样，多个美国机构和国际合作伙伴参与其中。 该活动取得了成功，因为部署期间发生了三次MJO事件，其中第一次发生在特别观察期，当时所有现场资产都被一起部署。总共收集了大约10兆字节的数据，鉴于该运动的成功和对该运动的大量投资，有必要进一步投资，以提高该运动数据的可获得性，并便利研究界使用这些数据。 该奖项将开发三类数据产品，其特点是用于收集观测的仪器类型：基于雷达的产品，基于飞机的产品和基于声音的产品。 第四类包括以符合研究界具体兴趣的方式处理的数据产品，例如将探测数据处理成可降水量、对流可用势能、对流抑制、抬升凝结水平和自由对流水平等变量。 整个收集将由国家大气研究中心的地球观测实验室主持。这个项目有点不寻常，因为它的目标是为研究界开发和提供数据集，而不是进行研究以解决科学假设。因此，所有的努力都可以被视为对研究界的更广泛的影响。还应该指出的是，MJO具有许多社会后果，因为它是热带天气的主要驱动因素，也影响着美国。 在其他影响中，MJO影响了在墨西哥湾形成的飓风的数量。因此，需要进行研究，以便在天气预报模型中更好地代表MJO。此外，数据产品将促进对热带对流的总体研究，这将有助于开发更好的模型来预测天气和预测未来的气候变化。