Collaborative development of the Lidar Processing Pipeline (LPP)

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Juan V. Pallotta, Silvania Carvalho, Fabio J. S. Lopes, Alexandre Cacheffo, Eduardo Landulfo, Henrique M. J. Barbosa
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Abstract

Abstract. Lidars can simultaneously measure clouds and aerosols with high temporal and spatial resolution and hence help understand their interactions, which are the source of the largest uncertainties in current climate projections. However, lidars are typically custom-built, so there are significant differences between them. In this sense, lidar networks play a crucial role as they coordinate the efforts of different groups, providing the guidelines for quality-assured routine measurements aiming to homogenize the physical retrievals. With that in mind, this work describes an ongoing effort to develop a lidar processing pipeline (LPP) collaboratively. The LPP is a collection of tools developed in C/C++, python, and Linux script that handle all the steps of a typical lidar analysis. The first publicly released version of LPP produces data files at levels 0 (raw and metadata), 1 (averaging and layer-mask), and 2 (aerosol optical properties). We discussed the application of LPP for two case studies for Sao Paulo and Amazon, which shows the capabilities of the current release but also highlights the need for new features. From this exercise, we developed and presented a roadmap to guide future development, accommodating the needs of our community.
激光雷达处理管道(LPP)的协同开发
摘要。激光雷达可以同时以高时间和空间分辨率测量云和气溶胶,因此有助于了解它们之间的相互作用,这是当前气候预测中最大的不确定性来源。然而,激光雷达通常是定制的,因此它们之间存在显着差异。从这个意义上说,激光雷达网络发挥着至关重要的作用,因为它们协调不同小组的努力,为旨在均匀化物理检索的质量保证常规测量提供指导。考虑到这一点,这项工作描述了协同开发激光雷达处理管道(LPP)的持续努力。LPP是一个用C/ c++、python和Linux脚本开发的工具集合,用于处理典型激光雷达分析的所有步骤。第一个公开发布的LPP版本产生的数据文件级别为0(原始和元数据)、1(平均和层掩膜)和2(气溶胶光学特性)。我们在Sao Paulo和Amazon的两个案例研究中讨论了LPP的应用,它们展示了当前版本的功能,但也强调了对新特性的需求。透过这项工作,我们制定并提出了指引未来发展的路线图,以配合社会的需要。
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来源期刊
Geoscientific Instrumentation Methods and Data Systems
Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
3.70
自引率
0.00%
发文量
23
审稿时长
37 weeks
期刊介绍: Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.
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