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Observation based climatology Martian atmospheric waves perturbation Datasets
The Martian atmospheric waves perturbation Datasets (MAWPD) version 2.0 is the first observation-based climatology dataset of Martian atmospheric waves. It contains climatology-gridded temperature, gravity waves, and tides spanning the whole Martian year. MAWPD uses the Data INterpolating Empirical...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810594/ https://www.ncbi.nlm.nih.gov/pubmed/36596794 http://dx.doi.org/10.1038/s41597-022-01909-y |
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author | Zhang, Jie Ji, Qianqian Sheng, Zheng He, Mingyuan He, Yang Zuo, Xinjie He, Zefeng Qin, Zilin Wu, Gangyao |
author_facet | Zhang, Jie Ji, Qianqian Sheng, Zheng He, Mingyuan He, Yang Zuo, Xinjie He, Zefeng Qin, Zilin Wu, Gangyao |
author_sort | Zhang, Jie |
collection | PubMed |
description | The Martian atmospheric waves perturbation Datasets (MAWPD) version 2.0 is the first observation-based climatology dataset of Martian atmospheric waves. It contains climatology-gridded temperature, gravity waves, and tides spanning the whole Martian year. MAWPD uses the Data INterpolating Empirical Orthogonal Functions method (DINEOF) reconstruction method for data assimilation with the observational data from the Mars Global Surveyor (MGS), Mars Reconnaissance Orbiter (MRO), Mars Atmosphere and Volatile EvolutioN (MAVEN), Mars Pathfinder (MP), Mars Phoenix Lander (MPL), Mars Exploration Rover (MER) and Mars Express (MEX) temperature retrievals. The dataset includes gridded fields of temperature (Level 1 data) as well as the physical quantities of GWs (Level 2 data, amplitude, and potential energies), SPWs and tides (Level 2 data, amplitude, and phase). The MAWPD, based entirely on multiple reliable observations, provides climatological background atmospheric information of temperature and wave disturbances on Mars. The dataset is not only useful for observation-based scientific studies concerning Martian atmospheric waves, e.g., circulation, dust storms, and wave excitation mechanism, but also for cross-validating with model-based datasets or model results. |
format | Online Article Text |
id | pubmed-9810594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98105942023-01-05 Observation based climatology Martian atmospheric waves perturbation Datasets Zhang, Jie Ji, Qianqian Sheng, Zheng He, Mingyuan He, Yang Zuo, Xinjie He, Zefeng Qin, Zilin Wu, Gangyao Sci Data Data Descriptor The Martian atmospheric waves perturbation Datasets (MAWPD) version 2.0 is the first observation-based climatology dataset of Martian atmospheric waves. It contains climatology-gridded temperature, gravity waves, and tides spanning the whole Martian year. MAWPD uses the Data INterpolating Empirical Orthogonal Functions method (DINEOF) reconstruction method for data assimilation with the observational data from the Mars Global Surveyor (MGS), Mars Reconnaissance Orbiter (MRO), Mars Atmosphere and Volatile EvolutioN (MAVEN), Mars Pathfinder (MP), Mars Phoenix Lander (MPL), Mars Exploration Rover (MER) and Mars Express (MEX) temperature retrievals. The dataset includes gridded fields of temperature (Level 1 data) as well as the physical quantities of GWs (Level 2 data, amplitude, and potential energies), SPWs and tides (Level 2 data, amplitude, and phase). The MAWPD, based entirely on multiple reliable observations, provides climatological background atmospheric information of temperature and wave disturbances on Mars. The dataset is not only useful for observation-based scientific studies concerning Martian atmospheric waves, e.g., circulation, dust storms, and wave excitation mechanism, but also for cross-validating with model-based datasets or model results. Nature Publishing Group UK 2023-01-03 /pmc/articles/PMC9810594/ /pubmed/36596794 http://dx.doi.org/10.1038/s41597-022-01909-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zhang, Jie Ji, Qianqian Sheng, Zheng He, Mingyuan He, Yang Zuo, Xinjie He, Zefeng Qin, Zilin Wu, Gangyao Observation based climatology Martian atmospheric waves perturbation Datasets |
title | Observation based climatology Martian atmospheric waves perturbation Datasets |
title_full | Observation based climatology Martian atmospheric waves perturbation Datasets |
title_fullStr | Observation based climatology Martian atmospheric waves perturbation Datasets |
title_full_unstemmed | Observation based climatology Martian atmospheric waves perturbation Datasets |
title_short | Observation based climatology Martian atmospheric waves perturbation Datasets |
title_sort | observation based climatology martian atmospheric waves perturbation datasets |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810594/ https://www.ncbi.nlm.nih.gov/pubmed/36596794 http://dx.doi.org/10.1038/s41597-022-01909-y |
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