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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/V018442/1
负责人:
Daniel Marsh
金额:
$60.93万
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 understoodregion of the atmosphere, it is the critical boundary between two domains (the climate domain and the space weatherdomain) 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 subseasonal 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(5)
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会议论文
DOI: 10.1038/s41467-022-34666-y
发表时间: 2022-11-12
期刊: NATURE COMMUNICATIONS
影响因子: 16.6
作者: [Szelag, Monika E., Marsh, Daniel R., Verronen, Pekka T., Seppala, Annika, Kalakoski, Niilo]
通讯作者: Kalakoski, Niilo
Ionosphere-Thermosphere-Mesosphere Variability imposed by Waves from Below in Future Climates
未来气候中来自下方的波所造成的电离层-热层-中间层变化
DOI: 10.3847/25c2cfeb.c3db219f
发表时间: 2023
期刊: Bulletin of the AAS
影响因子: --
作者: [Gasperini F]
通讯作者: Gasperini F
DOI: 10.5194/egusphere-egu23-9958
发表时间: 2023
期刊:
影响因子: --
作者: [Ghaffari R]
通讯作者: Ghaffari R
Climate, variability, and climate sensitivity of "Middle Atmosphere" chemistry configurations of the Community Earth System Model Version 2, Whole Atmosphere Community Climate Model Version 6 (CESM2(WACCM6))
社区地球系统模型版本 2、整个大气社区气候模型版本 6 (CESM2(WACCM6)) 的“中间大气”化学配置的气候、变率和气候敏感性
DOI: 10.22541/essoar.167117634.40175082/v1
发表时间: 2022
期刊:
影响因子: --
作者: [Davis N]
通讯作者: Davis N
DRivers and Impacts of Ionospheric Variability with EISCAT-3D (DRIIVE)
  • 批准号:
    NE/W003325/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $29.91万
  • 财政年份:
    2022
  • 负责人:
    Daniel Marsh
  • 依托单位:
Space Weather Instrumentation, Measurement, Modelling and Risk: Ionosphere (SWIMMR-I)
  • 批准号:
    NE/V002791/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $6.32万
  • 财政年份:
    2020
  • 负责人:
    Daniel Marsh
  • 依托单位:
Predicting the upper atmospheric response to extremes of space weather forcing
  • 批准号:
    NE/T000295/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $18.64万
  • 财政年份:
    2020
  • 负责人:
    Daniel Marsh
  • 依托单位:
Collaborative Research: CEDAR--Quantifying the Impact of Radiation Belt Electron Precipitation on Atmospheric Reactive Nitrogen Oxides (NOx) and Ozone (O3)
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