DATA of the RESOLVE Project (https://resolve.osug.fr/)

The data set contains all data presented in the ''The RESOLVE project: a multi-physics experiment with a temporary dense seismic array on the Argentière Glacier, French Alps'' paper published in Seismological Research Letter https://doi.org/10.1785/0220200280. Here we present a dense seismic array experiment made of 98 3-component seismic stations continuously recording during 35 days in early spring on the Argentière Glacier, French Alps. The seismic dataset is supplemented by a wide range of complementary observations obtained from ground penetrating radar, drone imagery, GNSS positioning and in-situ instrumentation of basal glacier sliding velocities and subglacial water discharge. Through applying multiple processing techniques including event detection from template matching and systematic beamforming, we demonstrate that the present dataset provides enhanced spatial resolution on basal stick slip and englacial fracturing sources as well as novel constraints on heterogeneous nature of the noise field generated by subglacial water flow and on the link between crevasse properties and englacial seismic velocities. This dataset is also linked to the following paper and dataset: PNAS paper: Observing the subglacial hydrology network and its dynamics with a dense seismic array https://doi.org/10.1073/pnas.2023757118. GRL paper: Dynamic Imaging of Glacier Structures at High-Resolution Using Source Localization With a Dense Seismic Array https://doi.org/10.1029/2021GL095996 DATASET: Seismic source location with a match field processing approach during the RESOLVE dense seismic array experiment on the Glacier d'Argentiere 10.5281/zenodo.5645545

本数据集涵盖发表于《地震研究快报》（Seismological Research Letter）、题为《RESOLVE项目：法国阿尔卑斯山阿让蒂耶尔冰川上的临时密集地震台阵多物理场实验》的论文中的全部数据，论文DOI：https://doi.org/10.1785/0220200280。本数据集收录了在法国阿尔卑斯山阿让蒂耶尔冰川开展的密集地震台阵实验数据，该实验由98套三分量地震台站（3-component seismic stations）组成，于早春时节连续记录时长35天。该地震数据集还配套了多类互补观测资料，包括地面穿透雷达（ground penetrating radar）、无人机影像、全球导航卫星系统（GNSS）定位数据，以及冰川底部滑动速率与冰下径流量的原位监测仪器观测数据。通过应用模板匹配事件检测、系统性波束成形（beamforming）等多种处理技术，本研究证实，本数据集可提升对冰川底部粘滑（stick slip）与冰内断裂震源的空间分辨能力，并为冰下水流产生的噪声场非均质性特征，以及冰裂缝特性与冰内地震波速度之间的关联提供全新约束条件。本数据集同时关联以下论文与数据集：1. 《美国国家科学院院刊》（PNAS）论文：《利用密集地震台阵观测冰下水文网络及其动力学特征》，DOI：https://doi.org/10.1073/pnas.2023757118；2. 《地球物理研究快报》（Geophysical Research Letters, GRL）论文：《利用密集地震台阵震源定位实现冰川构造高分辨率动态成像》，DOI：https://doi.org/10.1029/2021GL095996；3. 数据集：《阿让蒂耶尔冰川RESOLVE密集地震台阵实验中基于匹配场处理方法的地震震源定位数据》，DOI：10.5281/zenodo.5645545