Geodynamic diagnostics, scientific visualisation and StagLab 3.0

Geodynamic diagnostics, scientific visualisation and StagLab 3.0
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DOI:
10.5194/gmd-11-2541-2018
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发表时间:
2018-06-29
影响因子:
5.1
通讯作者:
Crameri, Fabio
Crameri, Fabio
中科院分区:
地球科学2区
文献类型:
--
作者:
Crameri, Fabio

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今天的地球动力学模型可以,经常,有时不得不变得非常复杂。它们底层的、越来越复杂的数字代码产生了越来越多的原始数据。因此,对这些数据进行后处理变得越来越重要,但也更具挑战性和耗时。此外,在彩色数据和大量半科学软件的时代,可视化处理过的数据和结果已经成为科学中最薄弱的支柱之一,受到广泛的虐待和忽视。因此,有效和自动化的地球动力学诊断和合理的科学可视化比以往任何时候都更加重要。在这里,提供了许多板块构造和地幔动力学诊断的集合,并为真正科学的可视化提供了一个案例。其他诊断方法包括最准确、最可靠的板块边界识别、板块极性识别、板块弯曲推导、表面形貌成分分裂和地幔柱检测。由于强大的图像处理工具和其他复杂的算法,这些和许多其他有见地的诊断都是方便地从最基本的参数字段的子集派生出来的。推出了一套全新的科学质量,感知上统一的彩色地图,包括德文郡,达沃斯,奥斯陆和布罗克,并免费提供(http://www.fabiocrameri.ch/colourmaps,最后访问时间:2018年6月25日)。这些新颖的彩色地图比误导性的、不科学的彩色地图(如彩虹地图)有显著的优势,彩虹地图会给基础数据带来高达7.5%的视觉误差。最后介绍STAGLAB (http://www.fabiocrameri.ch/StagLab,最后访问时间:2018年6月25日),这是一个软件包,包含了一整套自动地球动力学诊断,最重要的是,应用最先进的科学可视化来制作出版就绪的数字和电影,所有这些都在一眨眼的时间内完成,并且都是完全可复制的。STAGLAB是一个简单、灵活、高效和可靠的工具,每个人都可以免费获得,它是用MATLAB编写的,可以与地球动力学地幔对流代码一起使用。
Today's geodynamic models can, often do and sometimes have to become very complex. Their underlying, increasingly elaborate numerical codes produce a growing amount of raw data. Post-processing such data is therefore becoming more and more important, but also more challenging and time-consuming. In addition, visualising processed data and results has, in times of coloured figures and a wealth of half-scientific software, become one of the weakest pillars of science, widely mistreated and ignored. Efficient and automated geodynamic diagnostics and sensible scientific visualisation preventing common pitfalls is thus more important than ever. Here, a collection of numerous diagnostics for plate tectonics and mantle dynamics is provided and a case for truly scientific visualisation is made. Amongst other diagnostics are a most accurate and robust plate-boundary identification, slab-polarity recognition, plate-bending derivation, surface-topography component splitting and mantle-plume detection. Thanks to powerful image processing tools and other elaborate algorithms, these and many other insightful diagnostics are conveniently derived from only a subset of the most basic parameter fields. A brand new set of scientific quality, perceptually uniform colour maps including devon, davos, oslo and broc is introduced and made freely available(http://www.fabiocrameri.ch/colourmaps, last access: 25 June 2018). These novel colour maps bring a significant advantage over misleading, non-scientific colour maps like rainbow, which is shown to introduce a visual error to the underlying data of up to 7.5 %. Finally, STAGLAB (http://www.fabiocrameri.ch/StagLab, last access: 25 June 2018) is introduced, a software package that incorporates the whole suite of automated geodynamic diagnostics and, on top of that, applies state-of-the-art scientific visualisation to produce publication-ready figures and movies, all in the blink of an eye and all fully reproducible. STAGLAB, a simple, flexible, efficient and reliable tool made freely available to everyone, is written in MATLAB and adjustable for use with geodynamic mantle convection codes.