Geoscience Data Journal最新文献

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A dataset of sandstone detrital composition from Qinghai-Tibet Plateau 青藏高原砂岩碎屑组成数据集
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-15 DOI: 10.1002/gdj3.184
Wen Lai, Xiumian Hu, Xiaolong Dong, Anlin Ma
{"title":"A dataset of sandstone detrital composition from Qinghai-Tibet Plateau","authors":"Wen Lai,&nbsp;Xiumian Hu,&nbsp;Xiaolong Dong,&nbsp;Anlin Ma","doi":"10.1002/gdj3.184","DOIUrl":"10.1002/gdj3.184","url":null,"abstract":"<p>As a hot topic in Earth sciences, the Qinghai-Tibet Plateau has accumulated a large amount of sedimentary-related data. We constructed a dataset of detrital components for Qinghai-Tibet Plateau from 63 peer-reviewed publications. The dataset thus comprises 1813 Late Proterozoic to Pleistocene sandstones from 84 stratigraphic units. For each sample, we present details on reference, detrital composition, GPS, geographic location, depositional age, tectonic setting and depositional environment. It becomes a high-quality dataset after the information on each sandstone sample was standardized and reviewed by sedimentary experts. The dataset can be used for regional geoscience studies, exploring the general laws of the source-to-sink process. The dataset may also be useful in the field of utilities, such as assisting in finding suitable building stones, helping oil and gas and mineral exploration, and so forth.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"86-93"},"PeriodicalIF":3.2,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46828568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately 使用P - late - T构造工具和GP - late的py - GP - late深时时空数据分析
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-14 DOI: 10.1002/gdj3.185
Ben R. Mather, R. Dietmar Müller, Sabin Zahirovic, John Cannon, Michael Chin, Lauren Ilano, Nicky M. Wright, Christopher Alfonso, Simon Williams, Michael Tetley, Andrew Merdith
{"title":"Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately","authors":"Ben R. Mather,&nbsp;R. Dietmar Müller,&nbsp;Sabin Zahirovic,&nbsp;John Cannon,&nbsp;Michael Chin,&nbsp;Lauren Ilano,&nbsp;Nicky M. Wright,&nbsp;Christopher Alfonso,&nbsp;Simon Williams,&nbsp;Michael Tetley,&nbsp;Andrew Merdith","doi":"10.1002/gdj3.185","DOIUrl":"10.1002/gdj3.185","url":null,"abstract":"<p>PyGPlates is an open-source Python library to visualize and edit plate tectonic reconstructions created using GPlates. The Python API affords a greater level of flexibility than GPlates to interrogate plate reconstructions and integrate with other Python workflows. GPlately was created to accelerate spatio-temporal data analysis leveraging pyGPlates and PlateTectonicTools within a simplified Python interface. This object-oriented package enables the reconstruction of data through deep geologic time (points, lines, polygons and rasters), the interrogation of plate kinematic information (plate velocities, rates of subduction and seafloor spreading), the rapid comparison between multiple plate motion models, and the plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio-temporal analysis over multiple CPU processors.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"3-10"},"PeriodicalIF":3.2,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44685375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Issue Information 问题信息
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-01 DOI: 10.1111/teth.12609
{"title":"Issue Information","authors":"","doi":"10.1111/teth.12609","DOIUrl":"https://doi.org/10.1111/teth.12609","url":null,"abstract":"","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42359427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance GeoDeepShovel:一个在人工智能帮助下从地学文献中建立科学数据库的平台
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-02-28 DOI: 10.1002/gdj3.186
Shao Zhang, Hui Xu, Yuting Jia, Ying Wen, Dakuo Wang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
{"title":"GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance","authors":"Shao Zhang,&nbsp;Hui Xu,&nbsp;Yuting Jia,&nbsp;Ying Wen,&nbsp;Dakuo Wang,&nbsp;Luoyi Fu,&nbsp;Xinbing Wang,&nbsp;Chenghu Zhou","doi":"10.1002/gdj3.186","DOIUrl":"10.1002/gdj3.186","url":null,"abstract":"<p>With the rapid development of big data science, the research paradigm in the field of geosciences has also begun to shift to big data-driven scientific discovery. Researchers need to read a huge amount of literature to locate, extract and aggregate relevant results and data that are published and stored in PDF format for building a scientific database to support the big data-driven discovery. In this paper, based on the findings of a study about how geoscientists annotate literature and extract and aggregate data, we proposed GeoDeepShovel, a publicly available AI-assisted data extraction system to support their needs. GeoDeepShovel leverages state-of-the-art neural network models to support researcher(s) easily and accurately annotate papers (in the PDF format) and extract data from tables, figures, maps, etc., in a human–AI collaboration manner. As a part of the Deep-Time Digital Earth (DDE) program, GeoDeepShovel has been deployed for 8 months, and there are already 400 users from 44 geoscience research teams within the DDE program using it to construct scientific databases on a daily basis, and more than 240 projects and 50,000 documents have been processed for building scientific databases.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 4","pages":"519-537"},"PeriodicalIF":3.2,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44436857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evolution of symmetry index in minerals 矿物中对称指数的演化
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-01-14 DOI: 10.1002/gdj3.177
Marko Bermanec, Noa Vidović, Liubomyr Gavryliv, Shaunna M. Morrison, Robert M. Hazen
{"title":"Evolution of symmetry index in minerals","authors":"Marko Bermanec,&nbsp;Noa Vidović,&nbsp;Liubomyr Gavryliv,&nbsp;Shaunna M. Morrison,&nbsp;Robert M. Hazen","doi":"10.1002/gdj3.177","DOIUrl":"10.1002/gdj3.177","url":null,"abstract":"<p>Crystal structures of minerals are defined by a specific atomic arrangement within the unit-cell, which follows the laws of symmetry specific to each crystal system. The causes for a mineral to crystallize in a given crystal system have been the subject of many studies showing their dependency on different formation conditions, such as the presence of aqueous fluids, biotic activity and many others. Different attempts have been made to quantify and interpret the information that we can gather from studying crystal symmetry and its distribution in the mineral kingdom. However, these methods are mostly outdated or at least not compatible for use on large datasets available today. Therefore, a revision of symmetry index calculation has been made in accordance with the growing understanding of mineral species and their characteristics. In the gathered data, we observe a gradual but significant decrease in crystal symmetry through the stages of mineral evolution, from the formation of the solar system to modern day. However, this decrease is neither uniform nor linear, which provides further implications for mineral evolution from the viewpoint of crystal symmetry. The temporal distribution of minerals based on the number of essential elements in their chemical formulae and their symmetry index has been calculated and compared to explore their behaviour. Minerals with four to eight essential elements have the lowest average symmetry index, while being the most abundant throughout all stages of mineral evolution. There are many open questions, including those pertaining to whether or not biological activity on Earth has influenced the observed decrease in mineral symmetry through time and whether or not the trajectory of planetary evolution of a geologically active body is one of decreasing mineral symmetry/increasing complexity.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"69-85"},"PeriodicalIF":3.2,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42681835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sunspot observations at Kawaguchi Science Museum: 1972 – 2013 河口科学博物馆的太阳黑子观测:1972–2013
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-12-26 DOI: 10.1002/gdj3.158
Hisashi Hayakawa, Daisuke Suzuki, Sophie Mathieu, Laure Lefèvre, Hitoshi Takuma, Eijiro Hiei
{"title":"Sunspot observations at Kawaguchi Science Museum: 1972 – 2013","authors":"Hisashi Hayakawa,&nbsp;Daisuke Suzuki,&nbsp;Sophie Mathieu,&nbsp;Laure Lefèvre,&nbsp;Hitoshi Takuma,&nbsp;Eijiro Hiei","doi":"10.1002/gdj3.158","DOIUrl":"10.1002/gdj3.158","url":null,"abstract":"<p>Individual sunspot observations have formed a ground basis of international sunspot number, a unique reference for long-term solar variability in the centennial timescale. The original datasets were subjected to exploitations and analyses upon the recalibrations of the sunspot number series. In this context, this study reviewed and analysed original sunspot records and their databases in the Kawaguchi Science Museum (KSM) in Japan. KSM hosts sunspot drawings and logbooks from 1972 to 2013. This dataset has a longer chronological coverage than what was known to the scientific community (1981–2010). These records have been digitized and publicized in a museum database, which allows users to access individual sunspot drawings and numerical data in KSM logbooks. These records are highly homogeneous as a single observer's dataset (Hitoshi Takuma), who used a 15-cm refractor at the Kawaguchi Juvenile Museum in 1972–2003 and a 20-cm refractor at KSM in 2003–2013. We also reviewed the Takuma data series, his monthly observation days (21.3 days/month), sunspot number in the whole disk and each hemisphere, and sunspot positions in a butterfly diagram. We also assessed Takuma's data stability in comparison with the international sunspot number and reference datasets of the SILSO. Takuma's data appear stable until 2003, when he changed the observation site and instrument. His data stability was quantitatively compared with the SILSO reference datasets, confirming the substantial long-term stability of the data and establishing its reliability as an alternative reference for sunspot number recalibration.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 1","pages":"87-98"},"PeriodicalIF":3.2,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45055973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Data rescue process in the context of sea level reconstructions: An overview of the methodology, lessons learned, up-to-date best practices and recommendations 海平面重建背景下的数据救援过程:方法概述、经验教训、最新最佳做法和建议
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-12-14 DOI: 10.1002/gdj3.179
Alexa Latapy, Yann Ferret, Laurent Testut, Stefan Talke, Thorkild Aarup, Frederic Pons, Gwenaele Jan, Elizabeth Bradshaw, Nicolas Pouvreau
{"title":"Data rescue process in the context of sea level reconstructions: An overview of the methodology, lessons learned, up-to-date best practices and recommendations","authors":"Alexa Latapy,&nbsp;Yann Ferret,&nbsp;Laurent Testut,&nbsp;Stefan Talke,&nbsp;Thorkild Aarup,&nbsp;Frederic Pons,&nbsp;Gwenaele Jan,&nbsp;Elizabeth Bradshaw,&nbsp;Nicolas Pouvreau","doi":"10.1002/gdj3.179","DOIUrl":"10.1002/gdj3.179","url":null,"abstract":"<p>Coastal water level measurements represent one of the earliest geophysical measurements and allow an assessment of historical sea level rise and trends in tides, river flow and storm surge. However, recovery and digitization of archival tidal records have been much less widespread and systematic than, for example meteorological records. In this contribution, we discuss data rescue efforts and lessons learned in France, the United States and the United Kingdom, countries with early and extensive tide gauge networks by the mid-19th century. We highlight the importance of (a) cataloguing the historical gauge records, as a first step towards locating them; (b) locating data in archives, and then recovering and saving data by any means necessary, including photographs and scanning; (c) obtaining metadata, including both quantitative survey records, gauge checks and clock data, but also qualitative records such as gauge notes, letters and reports; and (d) quantitative statistical analysis of data and datum quality, using both standard data-entry checks but also tools that leverage the unique predictability of tide measurements. Methods for digitizing original analogue records are also discussed, including semi-automatic, computer-based methods of digitizing tidal charts (marigrams). Although the current best practice is described, future improvements are desirable and needed to make the more than estimated 10,000 station years of unused, undigitized records available to the scientific community.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 3","pages":"396-425"},"PeriodicalIF":3.2,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44373353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Overview of the KMA/NIMS Atmospheric Research Aircraft (NARA) and its data archive: Annual airborne observations over the Korean peninsula KMA/NIMS大气研究飞机及其数据档案概述:朝鲜半岛上空的年度空中观测
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-11-21 DOI: 10.1002/gdj3.182
Ji-Hyoung Kim, Tae-Young Goo, Sueng-Pil Jung, Min-Seong Kim, Kwangjae Lee, Myeonghun Kang, Chulkyu Lee, Jiwhi Yang, Sungeun Hong, Heejong Ko, Jong Hwan Yun
{"title":"Overview of the KMA/NIMS Atmospheric Research Aircraft (NARA) and its data archive: Annual airborne observations over the Korean peninsula","authors":"Ji-Hyoung Kim,&nbsp;Tae-Young Goo,&nbsp;Sueng-Pil Jung,&nbsp;Min-Seong Kim,&nbsp;Kwangjae Lee,&nbsp;Myeonghun Kang,&nbsp;Chulkyu Lee,&nbsp;Jiwhi Yang,&nbsp;Sungeun Hong,&nbsp;Heejong Ko,&nbsp;Jong Hwan Yun","doi":"10.1002/gdj3.182","DOIUrl":"10.1002/gdj3.182","url":null,"abstract":"<p>This study describes the Korea Meteorological Administration/National Institute of Meteorological Sciences (KMA/NIMS) Atmospheric Research Aircraft (NARA) and its observational data archive. NARA has been performing annual observation flights, which are aimed at reducing the uncertainty of atmospheric observations in the observation data gap area around the Korean peninsula, since January 2018. An online system has also been constructed to provide data management, transmission, quality control and simple visualization. The mission strategy of NARA is subdivided into four individual units, namely observations of severe weather (SW), climate monitoring (CM), environmental monitoring (EM) and cloud physics and weather modification experiments (CP). As of December 2020, NARA has been launched operationally for 325 flights (corresponding to 9.02 flights per month), typically over the West Sea, mid-inland areas (34.4% and 25.4%, respectively), and below an altitude of 3 km (51.9%). Results of intercomparison tests confirmed that NARA measurements have reasonable offsets (&lt;0.9%) to each other in terms of pressure and temperature. Moreover, the monthly average temperature profile in the East Sea area showed a seasonal variation was detected in monthly variation. From these results, it is evident that NARA data will contribute significantly to enhancing the level of scientific understanding of atmospheric observations and the applications (i.e. long-term study) thereof as the amount of data accumulated increases.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 4","pages":"447-460"},"PeriodicalIF":3.2,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.182","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49642627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Long time series of absolute gravity observations in Kulusuk, southeast Greenland 格陵兰岛东南部库鲁苏克的长时间绝对重力观测序列
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-11-02 DOI: 10.1002/gdj3.183
Olivier Francis
{"title":"Long time series of absolute gravity observations in Kulusuk, southeast Greenland","authors":"Olivier Francis","doi":"10.1002/gdj3.183","DOIUrl":"10.1002/gdj3.183","url":null,"abstract":"<p>This report contains terrestrial absolute gravity measurements performed near the village of Kulusuk in southeast Greenland. It represents an exceptionally long time series of nearly two decades. The measurements began in July 1996 until July 2015. The station is located a few meters beside a permanent GNSS station. The final gravity values (g-values), more precisely the accelerations due to gravity, are listed along their associated uncertainties. A description of the station, a short explanation on the absolute gravimeter, and the data processing are presented.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 4","pages":"485-488"},"PeriodicalIF":3.2,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49220014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mahuika-Auckland: A spatially and temporally resolved fossil fuel CO2 emissions data product for Auckland, New Zealand Mahuika‐Auckland:新西兰奥克兰地区化石燃料CO2排放的时空解析数据产品
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-10-14 DOI: 10.1002/gdj3.181
Elizabeth D. Keller, Timothy W. Hilton, Adrian Benson, Sapthala Karalliyadda, Shanju Xie, Kevin R. Gurney, Jocelyn C. Turnbull
{"title":"Mahuika-Auckland: A spatially and temporally resolved fossil fuel CO2 emissions data product for Auckland, New Zealand","authors":"Elizabeth D. Keller,&nbsp;Timothy W. Hilton,&nbsp;Adrian Benson,&nbsp;Sapthala Karalliyadda,&nbsp;Shanju Xie,&nbsp;Kevin R. Gurney,&nbsp;Jocelyn C. Turnbull","doi":"10.1002/gdj3.181","DOIUrl":"10.1002/gdj3.181","url":null,"abstract":"<p>Accurate, high-resolution and sector-specific greenhouse gas emissions information is increasingly needed for the development of local, targeted mitigation policies. We describe a detailed, spatially and temporally resolved CO<sub>2</sub> emissions data product, Mahuika-Auckland, for Auckland, New Zealand, based on Auckland's regional greenhouse gas and air emissions inventories. Emissions are provided at 500 m spatial resolution and at a 1-hr time step, a level of detail not previously available for any New Zealand city. We divide fossil fuel emissions into six sectors that comprise the majority of Auckland Region's CO<sub>2</sub> emissions profile: on-road transport, industrial non-point buildings and point sources, commercial non-point buildings, residential non-point buildings, air transport and sea transport. We also include separate layers representing biogenic CO<sub>2</sub> emissions (primarily waste and wood burning), as these are significant sources in Auckland. We distribute emissions spatially and temporally based on activity data, energy and fuel consumption patterns, and population statistics. The code to generate Mahuika-Auckland has been designed to be flexible so that updated information and/or data from more recent years can easily be incorporated. This data product improves upon New Zealand's current inventories that are only resolved at the regional and annual scale, providing a new level of detail that can be used as a prior estimate for atmospheric inversions, to inform emissions reduction policies and to guide the development of zero carbon pathways.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 3","pages":"347-367"},"PeriodicalIF":3.2,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41574548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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