Despite their high potential for accurate sea ice properties estimation, seismic methods are still limited by the difficulty of access and the challenging logistics of polar environments. Conventional seismic methods generally require tens of geophones together with active seismic sources for monitoring applications. While this is not an issue for mainland environment, it is restrictive for sea ice and prevents long‐term monitoring. We introduce a method to estimate sea ice thickness and elastic properties from passive recordings of the ambient seismic field with a minimal number of geophones. In comparison with our previous work (Moreau et al., 2020; https://doi.org/10.1029/2019JC015709) where about 50 sensors were used, the number of geophones is reduced by 1 order of magnitude, thanks to a new strategy of inversion of the passive seismic data. The method combines noise interferometry for estimating the elastic properties, with a Bayesian inversion of the dispersion in the waveforms of icequakes for inferring ice thickness, based on passive recordings from only 3–5 geophones, depending on the signal to noise ratio. We demonstrate its potential both on data recorded on thin landfast ice in Svalbard, and on data recorded on thick pack ice in the Arctic ocean.

中文翻译：

---

通过最少数量的地震检波器记录的地震噪声准确估算海冰厚度和弹性特性：从稀薄的陆冰到厚实的冰块

尽管有很高的潜力可以准确估算海冰的性质，但地震方法仍然受到进入困难和极地环境物流困难的限制。常规地震方法通常需要数十个地震检波器以及用于监测应用的有源地震源。尽管这对于大陆环境而言不是问题，但它对海冰具有限制性，并阻止了长期监控。我们介绍了一种使用最少数量的检波器从环境地震场的被动记录中估算海冰厚度和弹性特性的方法。与我们之前的工作（Moreau等人，2020; https://doi.org/10.1029/2019JC015709）相比，使用了大约50个传感器，由于采用了新的策略，地震检波器的数量减少了1个数量级。被动地震数据反演。该方法结合了仅用于3-5个地震检波器的无源记录（取决于信噪比），结合了用于估计弹性特性的噪声干涉测量法和用于推断冰层厚度的贝叶斯反演，从而推断出冰的厚度。我们在斯瓦尔巴特群岛的陆地薄冰上记录的数据和北冰洋厚冰上记录的数据上都展示了其潜力。