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http://hdl.handle.net/20.500.11765/8848
Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO2 data and its application to European elevated mountain stations
Title: | Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO2 data and its application to European elevated mountain stations |
Authors: | Yuan, Yen; Ries, Ludwig; Petermeier, Hannes; Steinbacher, Martin; Gómez Peláez, Ángel Jesús
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Keywords: | Atmospheric gases; Remote measurement; Carbon dioxide; Statistical method |
Issue Date: | 2018 |
Publisher: | European Geosciences Union |
Citation: | Atmospheric Measurement Techniques. 2018, 11(3), p. 1501-1514 |
Publisher version: | https://dx.doi.org/10.5194/amt-11-1501-2018 |
Abstract: | This paper presents a novel statistical method, ADVS, for baseline selection of representative CO2 data at elevated mountain measurement stations. It provides insights on how data processing techniques are critical for measurements and data analyses. Compared with other statistical methods, our method appears to be a good option as a generalized approach with improved comparability, which is important for research on measurement site characteristics and comparisons between stations. |
Sponsorship : | This work was supported by a scholarship from China Scholarship Council (CSC) under grant CSC No. 201508080110. |
URI: | http://hdl.handle.net/20.500.11765/8848 |
ISSN: | 1867-1381 1867-8548 |
Appears in Collections: | Artículos científicos 2015-2018 |
Files in This Item:
File | Description | Size | Format | ||
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![]() | amt-11-1501-2018.pdf | Artículo principal | 2,03 MB | Adobe PDF | ![]() View/Open |
![]() | amt-11-1501-2018-supp... | Suplemento | 820,69 kB | Adobe PDF | ![]() View/Open |
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