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首页> 外文期刊>Journal of Glaciology >Assessing a multilayered dynamic firn-compaction model for Greenland with ASIRAS radar measurements
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Assessing a multilayered dynamic firn-compaction model for Greenland with ASIRAS radar measurements

机译：使用ASIRAS雷达评估评估格陵兰岛的多层动态点火压实模型

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A method to assess firn compaction using data collected with the Airborne SAR (Synthetic Aperture Radar)/Interferometric Radar Altimeter System (ASIRAS) is developed. For this, we develop a dynamical firn-compaction model that includes meltwater retention. Based on the ASIRAS data, which show internal layers as annual horizons in the uppermost firn, the method relies on inferring the age/ depth (internal layers) information from the radar data using a Monte Carlo inversion technique to tune in parallel both the firn model and the atmospheric forcing parameters (temperature and accumulation). The model is validated against two firn cores, and it is shown that applying both firn densities and age/ depth information for the inversion gives the most accurate understanding of model biases. The method is then applied to a 67 km section of the EGIG line forced by atmospheric output from a regional climate model using only age/depth information in the inversion step. The layers traced by the ASIRAS data are modeled with a root-mean-square error of 9 cm, which is within the estimated error of the layer tracing. This gives us confidence in applying observed annual layering from firn radar data to assess firn compaction; however, the study also indicates that our firn-model-tuning parameters are site-dependent and cannot be parameterized by temperature and accumulation alone.
机译：开发了一种使用机载SAR（合成孔径雷达）/干涉雷达高度计系统（ASIRAS）收集的数据来评估击实强度的方法。为此，我们开发了包括熔体水滞留在内的动态燃烧压实模型。基于ASIRAS数据，该数据将内部层显示为最高层发射时的年度地平线，该方法依赖于使用蒙特卡洛反演技术从雷达数据中推断出年龄/深度（内部层）信息，以并行调整两个发射时模型以及大气强迫参数（温度和累积）。该模型针对两个击穿岩心进行了验证，结果表明，将击穿密度和年龄/深度信息应用​​于反演可以最准确地理解模型偏差。然后在反演步骤中仅使用年龄/深度信息，将该方法应用于EGIG线的67 km区域，该区域是由区域气候模型的大气输出强迫的。使用ASIRAS数据跟踪的图层的均方根误差为9 cm，该误差在图层跟踪的估计误差范围内。这使我们充满信心，可以将发射雷达数据中观测到的年度分层应用于发射密度的评估;但是，该研究还表明，我们的模型拟合参数是与位置有关的，不能仅通过温度和累积进行参数化。

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