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MesoS2D:Mesospheric sub-seasonal to decadal predictability

MesoS2D:Mesospheric sub-seasonal to decadal predictability
MesoS2D:中层次季节到年代际的可预测性
批准号:
NE/V01837X/1
负责人:
Corwin Wright
金额:
$47.09万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
In order to accurately predict impacts of space weather and climate variability on the whole atmosphere we need an accurate representation of the whole atmosphere. The mesosphere (~50-95 km altitude) is the most poorly understood region of the atmosphere, it is the critical boundary between two domains (the climate domain and the space weather domain) and this presents a problem when trying to model and prediction conditions in the whole atmosphere. Currently the level of prediction in the mesosphere is no better than climatology. Historically there have been few observations of this region to help us characterise it. However, in the past decade or so the number of observations has increased markedly, including multiple middle atmosphere observing satellite missions. We plan to take advantage of this golden age of middle atmosphere observations and together with one of the world most sophisticated whole atmosphere models to quantify the variability and drivers of the mesosphere. The mesosphere influences, and is influenced by, in-situ and external effects such as atmospheric waves and tides (upward) and space weather effects (downward). The mesosphere is strongly coupled to the lower edge of the ionosphere, as well as the other atmospheric regions, so changes in one part can impact on others. In order to make progress in modelling the whole atmosphere as a coupled system we need to have a sound scientific understanding of the drivers of variability. For climate models we have a good level of predictability for ~2 weeks and one the ~decades scale. However, critically we cannot do this in the mesosphere yet. We aim to focus our efforts on understanding variability on the sub-seasonal to decadal variations in the mesosphere as a pathway to improving model predictions. We will use the highly instrumented region of Scandinavia, in conjunction with satellite data, to determine the variability of the mesosphere/lower ionosphere and its drivers over a sub seasonal to decadal scale. We will be among the first to use a new, ~£50 million, high-resolution instrument (EISCAT 3D). This will be the world's most sophisticated ionospheric radar which will allow unprecedented small scale measurements of variations in the middle atmosphere. In conjunction with special high-resolution whole atmosphere model simulations, we will determine the drivers and variability of this atmospheric region and provide a first step along the road of improving predictability of the mesosphere at sub-seasonal to decadal timescales.
期刊论文(7)
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会议论文
Stratospheric gravity waves excited by Hurricane Joaquin in 2015: 3-D characteristics and the correlation with hurricane intensification
2015 年华金飓风激发的平流层重力波:3D 特征及其与飓风强度的相关性
DOI: 10.5194/egusphere-2023-3008
发表时间: 2024
期刊:
影响因子: --
作者: [Wu X]
通讯作者: Wu X
DOI: 10.1038/s41526-023-00259-2
发表时间: 2023-02-08
期刊: NPJ MICROGRAVITY
影响因子: 5.1
作者: [Wright, Corwin J., Ungermann, Joern, Preusse, Peter, Polichtchouk, Inna]
通讯作者: Polichtchouk, Inna
Aeolus wind lidar observations of the 2019/2020 Quasi-Biennial Oscillation disruption with comparison to radiosondes and reanalysis
风神激光雷达对 2019/2020 年准两年期振荡中断的观测与无线电探空仪的比较和再分析
DOI: 10.5194/egusphere-2023-285
发表时间: 2023
期刊:
影响因子: --
作者: [Banyard T]
通讯作者: Banyard T
Atmospheric Gravity Waves: Processes and Parameterization
大气重力波:过程和参数化
DOI: 10.1175/jas-d-23-0210.1
发表时间: 2023
期刊: Journal of the Atmospheric Sciences
影响因子: 3.1
作者: [Achatz U]
通讯作者: Achatz U
7
    DRivers and Impacts of Ionospheric Variability with EISCAT-3D (DRIIVE)
    • 批准号:
      NE/W003201/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $38.4万
    • 财政年份:
      2022
    • 负责人:
      Corwin Wright
    • 依托单位:
    Planetary and Gravity Waves as Drivers of Sudden Stratospheric Warmings (PEGASUS)
    • 批准号:
      NE/S00985X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $80.62万
    • 财政年份:
      2019
    • 负责人:
      Corwin Wright
    • 依托单位:
    海外基金