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Direct Measurement of Earth’s Energy Imbalance with Geodetic Satellites – Feasibility Study (EEI-Geodetic)

Direct Measurement of Earth’s Energy Imbalance with Geodetic Satellites – Feasibility Study (EEI-Geodetic)
利用大地测量卫星直接测量地球能量不平衡 – 可行性研究 (EEI-Geodetic)
批准号:
441179229
负责人:
Professor Dr.-Ing. Jürgen Kusche
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
翻译
地球能量不平衡(EEI)表示地球在大气层顶部吸收和释放的能量之间的差异。目前估计其长期全球平均值<0.9 W/m2。最近的几项研究指出,需要在更大的空间尺度上以0.1 W/m2的精度测量平均EEI,并探测可能的长期时间变化。目前,CERES系列卫星辐射计可以观测到大气层顶部的EEI,但众所周知,这些传感器在长时间尺度上存在校准问题,因此它们的平均值是根据海洋数据估计的。然而,由于Argo等原位数据的稀疏性,对海洋热变化的估计存在自身的问题。在这里,我们建议通过使用加速度计间接观测太阳和地球的辐射压力或通过卫星激光测距来获得EEI。这是一个非常具有挑战性的目标,因为目前尚不清楚现有大地测量数据库将允许的精度,以及时间和空间分辨率。我们将开发一个模拟框架,用于测试和优化专用EEI大地测量卫星、此类卫星星座或未来的重力任务,如配备改进加速度计的GRACE-II。目标将是在大空间尺度(全球平均、陆地-海洋-北极分割、纬度带)以及年和更长时间尺度上验证并可能改进基于ceres的估计
英文摘要
Earth’s Energy Imbalance (EEI) represents the difference between the energy absorbed and emitted by the Earth at the top of the atmosphere. Its long-term global mean is currently estimated to <0.9 W/m2. Several recent studies have pointed out the need to measure mean EEI with an accuracy of 0.1 W/m2 at larger spatial scales, and to detect possible long-term temporal changes. EEI at the top of the atmosphere is currently observed with the CERES family of satellite radiometers, but these sensors are known to have calibration problems at long timescales, so their mean has been anchored inestimates from ocean data. However, estimates of ocean heat change have their own problems due to sparsity of in-situ data such as Argo. Here we suggest to derive EEI from either indirect observation of solar and Earth’s radiation pressure with accelerometers or from satellite laser ranging. This is a very challenging objective, since it is not clear which accuracy the existing geodetic data base will allow for, and at which temporal and spatial resolution. We will develop a simulation framework that will enable testing and optimizing a dedicated EEI geodetic satellite, a constellation of such, or a future gravity mission such as GRACE-II equipped with improved accelerometers. The goal would be to validate, and possibly improve, the CERES-based estimates at large spatial scales (global mean,land-ocean-arctic partitioned, latitudinal bands) and at annual and longer timescales
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会议论文
Developing an Ensemble Kalman Filter calibration and data assimilation (EnC/DA) approach for integrating geodetic and remote sensing data into a global hydrological model
Developing a Stabilized Ensemble Kalman Filter for integrating daily GRACE/GRACE-FO data into process models (S-ENKF)
Bayesian Methods in Geodetic Earth System Research
Lunar Reference Systems
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: