Annual resolution sediment layers, known as varves, can provide continuous and high-resolution chronologies of sedimentary sequences. In addition, varve counting is not burdened with the high laboratory costs of geochronological analyses. Despite a more than 100-year history of use, many existing varve counting techniques are time consuming and difficult to reproduce. We present countMYvarves, a varve counting toolbox which uses sliding-window autocorrelation to count the number of repeated patterns in core scans or outcrop photos. The toolbox is used to build an annually-resolved record of sedimentation rates, which are depth-integrated to provide ages. We validate the model with repeated manual counts of a high sedimentation rate lake with biogenic varves (Herd Lake, USA) and a low sedimentation rate glacial lake (Lago Argentino, Argentina). In both cases, countMYvarves is consistent with manual counts and provides additional sedimentation rate data. The toolbox performs multiple simultaneous varve counts, enabling uncertainty to be quantified and propagated into the resulting age-depth model. The toolbox also includes modules to automatically exclude non-varved portions of sediment and interpolate over missing or disrupted sediment. CountMYvarves is open source, runs through a graphical user interface, and is available online for download for use on Windows, macOS or Linux at https://doi.org/10.5281/zenodo.4031811.

中文翻译：

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通过图像自相关对复杂变量进行半自动计数

年分辨率沉积层，称为 varves，可以提供连续和高分辨率的沉积序列年表。此外，varve 计数不受地质年代分析的高实验室成本的影响。尽管已有 100 多年的使用历史，但许多现有的 varve 计数技术非常耗时且难以复制。我们提出了 countMYvarves，一个 varve 计数工具箱，它使用滑动窗口自相关来计算核心扫描或露头照片中重复模式的数量。该工具箱用于建立每年解决的沉降速率记录，这些记录经过深度整合以提供年龄。我们通过重复手动计数具有生物成因的高沉降率湖泊（美国赫德湖）和低沉降率冰川湖（阿根廷拉戈）来验证该模型。在这两种情况下，countMYvarves 都与手动计数一致，并提供额外的沉降率数据。该工具箱同时执行多个 varve 计数，从而能够量化不确定性并将其传播到生成的年龄深度模型中。该工具箱还包括自动排除沉积物的非变质部分并插入缺失或破坏的沉积物的模块。CountMYvarves 是开源的，通过图形用户界面运行，可在线下载以在 Windows、macOS 或 Linux 上使用 该工具箱还包括自动排除沉积物的非变质部分并插入缺失或破坏的沉积物的模块。CountMYvarves 是开源的，通过图形用户界面运行，可在线下载以在 Windows、macOS 或 Linux 上使用 该工具箱还包括自动排除沉积物的非变质部分并插入缺失或破坏的沉积物的模块。CountMYvarves 是开源的，通过图形用户界面运行，可在线下载以在 Windows、macOS 或 Linux 上使用https://doi.org/10.5281/zenodo.4031811.