Geoscience Data Journal最新文献_第6页

Open-source stand-alone version of atmospheric model Aeolus 2.0 software 大气模型 Aeolus 2.0 软件的开源独立版本

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-05-07 DOI: 10.1002/gdj3.249

Masoud Rostami, Stefan Petri, Sullyandro Oliveira Guimaräes, Bijan Fallah

引用次数: 0

Full-scale measurements of thunderstorm outflows in the Northern Mediterranean 地中海北部雷暴外流的全面测量数据

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-04-30 DOI: 10.1002/gdj3.247

F. Canepa, M. P. Repetto, M. Burlando

{"title":"Full-scale measurements of thunderstorm outflows in the Northern Mediterranean","authors":"F. Canepa, M. P. Repetto, M. Burlando","doi":"10.1002/gdj3.247","DOIUrl":"10.1002/gdj3.247","url":null,"abstract":"Downbursts are severe wind systems originating from thunderstorm clouds, and their strong horizontal outflows can pose serious hazards to natural and built environments. In the context of the activities of the European project THUNDERR—Detection, simulation, modelling and loading of thunderstorm outflows to design wind-safer and cost-efficient structures—a comprehensive database of full-scale downburst measurements was built. All records were acquired by bi- or tri-axial ultrasonic anemometers installed in the main ports of the High Tyrrhenian Sea, namely Genova, Livorno and La Spezia, within the European projects ‘Wind and Ports’ and ‘Wind, Ports and Sea’. The very limited space and time structure of downburst outflows makes the available records in nature inadequate for developing models that could be used in the atmospheric science and engineering communities. The database described herein represents a step forward in attempting to fill this gap. The downburst nature of all events contained in the dataset was verified through detailed meteorological analyses, including comparisons with radar and satellite images and lightning recordings. The wind speed records associated with the events detected by the anemometric network are made publicly available through the online repository Zenodo and can be reused for multiple purposes. The dataset is expected to convey an important impulse towards the physical characterization and modelling of downburst winds and their codification into design tools for the assessment of wind loading and its effects on structures and infrastructure. Furthermore, it could serve as a promising, essential tool for researchers and risk-related insurance companies.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"742-757"},"PeriodicalIF":3.3,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140841717","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

Landslides of China's Qinling 中国秦岭的滑坡

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-04-22 DOI: 10.1002/gdj3.246

Liye Feng, Chong Xu, Yingying Tian, Lei Li, Jingjing Sun, Yuandong Huang, Peng Wang, Xuewei Zhang, Tao Li, Wentao Yang, Siyuan Ma, Xiaoyi Shao, Jixiang Xu, Jingyu Chen

{"title":"Landslides of China's Qinling","authors":"Liye Feng, Chong Xu, Yingying Tian, Lei Li, Jingjing Sun, Yuandong Huang, Peng Wang, Xuewei Zhang, Tao Li, Wentao Yang, Siyuan Ma, Xiaoyi Shao, Jixiang Xu, Jingyu Chen","doi":"10.1002/gdj3.246","DOIUrl":"10.1002/gdj3.246","url":null,"abstract":"The Qinling Mountains in China frequently experience geological disasters, with large-scale landslides being particularly prominent, causing severe economic losses to the local area. To gain a comprehensive understanding of the geological disaters distribution in the region, we conducted extensive research on the entire Qinling Mountains, covering an area of approximately 380,000 km2. By employing methods such as literature review, data collection, and interpretation of remote sensing images, we have successfully created a database of landslides. The inventory of landslides includes a total of 169,888 large-scale landslides, covering a combined area of approximately 1575 km2. The average size of these landslides is approximately 92,734 m2. The scale of these landslides varies widely, with the smallest individual landslide covering an area of 166.25 m2 and the largest reaching 12.9 km2. Upon examining areas with frequent landslides, it was observed that landslides are usually densely distributed along riverbanks or within valleys. Landslide development is also dense in areas prone to frequent historical earthquakes. This comprehensive database provides essential data to support the analysis of spatial distribution patterns of large-scale landslides in the Qinling Mountains. It also facilitates landslide assessments and serves as a reference for the prevention and control of landslide disasters in the area.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"725-741"},"PeriodicalIF":3.3,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140677067","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

DDE KG Editor: A data service system for knowledge graph construction in geoscience DDE KG 编辑器：用于构建地球科学知识图谱的数据服务系统

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-04-12 DOI: 10.1002/gdj3.245

Chengbin Hou, Kaichuang Liu, Tianheng Wang, Shunzhong Shi, Yan Li, Yunqiang Zhu, Xiumian Hu, Chengshan Wang, Chenghu Zhou, Hairong Lv

{"title":"DDE KG Editor: A data service system for knowledge graph construction in geoscience","authors":"Chengbin Hou, Kaichuang Liu, Tianheng Wang, Shunzhong Shi, Yan Li, Yunqiang Zhu, Xiumian Hu, Chengshan Wang, Chenghu Zhou, Hairong Lv","doi":"10.1002/gdj3.245","DOIUrl":"10.1002/gdj3.245","url":null,"abstract":"Deep-time Digital Earth (DDE) is an innovative international big science program, focusing on scientific propositions of earth evolution, changing Earth Science by coordinating global geoscience data, and sharing global geoscience knowledge. To facilitate the DDE program with recent advances in computer science, the geoscience knowledge graph plays a key role in organizing the data and knowledge of multiple geoscience subjects into Knowledge Graphs (KGs), which enables the calculation and inference over geoscience KGs for data mining and knowledge discovery. However, the construction of geoscience KGs is challenging. Though there have been some construction tools, they commonly lack collaborative editing and peer review for building high-quality large-scale geoscience professional KGs. To this end, a data service system or tool, DDE KG Editor, is developed to construct geoscience KGs. Specifically, it comes with several distinctive features such as collaborative editing, peer review, contribution records, intelligent assistance, and discussion forums. Currently, global geoscientists have contributed over 60,000 ontologies for 22 subjects. The stability, scalability, and intelligence of the system are regularly improving as a public online platform to better serve the DDE program.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"1073-1085"},"PeriodicalIF":3.3,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577766","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

Sediment particle tracking data for the Carpathian reservoir under climate and land use change scenarios 气候和土地利用变化情景下喀尔巴阡山水库的沉积颗粒跟踪数据

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-03-15 DOI: 10.1002/gdj3.242

Ewa Szalińska, Paweł S. Hachaj, Monika Szlapa, Paulina Orlińska-Woźniak, Paweł Wilk

{"title":"Sediment particle tracking data for the Carpathian reservoir under climate and land use change scenarios","authors":"Ewa Szalińska, Paweł S. Hachaj, Monika Szlapa, Paulina Orlińska-Woźniak, Paweł Wilk","doi":"10.1002/gdj3.242","DOIUrl":"10.1002/gdj3.242","url":null,"abstract":"Although the Carpathian Mts. area is considered as extremely prone to surface erosion which results in capacity loss of the dammed reservoirs, a lack of data to follow details of this process is perceivable. The research of the selected sediment fractions transport tracking was conducted using the capabilities of the digital platform—Macromodel DNS (Discharge-Nutrient-Sea) for the catchment with drinking water reservoir in the Polish part of Western Carpathian. The continuity of sediment transport simulation in two hydrologically different elements of the catchment—the river and the reservoir—was possible due to consolidation of two models in the platform—SWAT (Soil & Water Assessment Tool) and AdH/PTM (Adaptive Hydraulics Model/Particle Tracking Model). The result of those modules' integration was a database for tracking the individual sediment fractions delivered to the reservoir and deposited in specific reservoir zones. The implementation of climate and land use change scenarios allowed additionally to analyse the estimation of those processes in the future. The simulation outcomes consist of daily flows and monthly sediment loads at the reservoir inflow and the individual sediment particle fractions deposition location inside of the reservoir.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"699-717"},"PeriodicalIF":3.3,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.242","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140150456","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

Global Chert Database: A summary record of global chert samples 全球燧石数据库：全球 Chert 样品简要记录

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-03-14 DOI: 10.1002/gdj3.244

Chenyu Wang, Hanting Zhong, Han Yan, Lingxue Gao, Hu Huang, Mingcai Hou

引用次数: 0

Preface to the special issue on “Old records for new knowledge” "新知识的旧记录 "特刊序言

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-02-26 DOI: 10.1002/gdj3.243

Josep Batlló, Hisashi Hayakawa, Victoria Slonosky, Richard I. Crouthamel

引用次数: 0

CAMELS-SE: Long-term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration CAMELS-SE：作为建模、教育和合作资源的瑞典 50 个流域的长期水文气候观测（1961-2020 年

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-02-15 DOI: 10.1002/gdj3.239

Claudia Teutschbein

{"title":"CAMELS-SE: Long-term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration","authors":"Claudia Teutschbein","doi":"10.1002/gdj3.239","DOIUrl":"10.1002/gdj3.239","url":null,"abstract":"This paper introduces a community-accessible dataset comprising daily hydroclimatic variables (precipitation, temperature, and streamflow) observed in 50 catchments in Sweden (median size of 1019 km2). The dataset covers a 60-year period (1961–2020) and includes information on geographical location, landcover, soil classes, hydrologic signatures, and regulation for each catchment. Data were collected from various sources, such as the Swedish Meteorological and Hydrological Institute, the Swedish Geological Survey, and several Copernicus products provided by the European Environment Agency. The compiled, spatially-matched, and processed data are publicly available online through the Swedish National Data Service (https://snd.se/en), contributing a new region to the collection of existing CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets. The CAMELS-SE dataset spans a wide range of hydroclimatic, topographic, and environmental catchment properties, making it a valuable resource for researchers and practitioners to study hydrological processes, climate dynamics, environmental impacts, and sustainable water management strategies in Nordic regions.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"655-668"},"PeriodicalIF":3.3,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.239","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139758205","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

Multitemporal landslide inventory and susceptibility map for the Arun River Basin, Nepal 尼泊尔阿伦河流域多时滑坡清单和易发性地图

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-02-07 DOI: 10.1002/gdj3.240

Pukar Amatya, Robert Emberson, Dalia Kirschbaum

{"title":"Multitemporal landslide inventory and susceptibility map for the Arun River Basin, Nepal","authors":"Pukar Amatya, Robert Emberson, Dalia Kirschbaum","doi":"10.1002/gdj3.240","DOIUrl":"10.1002/gdj3.240","url":null,"abstract":"The transboundary Arun River Basin (ARB) spreads across Nepal and Tibet. Nearly 95% of the basin lies in Tibet through which the Pumqu River flows, forming the Arun River once it enters Nepal. The ARB has five large hydropower projects undergoing construction or planned for the future. Rainfall and earthquake-induced landslides, landslide-dammed lakes and landslide-induced glacial lake outburst floods pose major risks to smooth operation of these projects. To safeguard upcoming hydropower projects, areas susceptible to landslides in the ARB must be identified. We used high-resolution satellite imagery and open-source tools to generate a multitemporal landslide inventory for the basin. The rigorously quality-controlled inventory represents a yearly record of landslides from 2011 to 2020. A data-driven approach was used to map areas susceptible to landslides within the ARB. The multitemporal landslide inventory combined with other readily available Earth observation-based variables was used to create a landslide susceptibility map. The susceptibility analysis provides a valuable initial estimate of where landslides are likely to initiate. These landslide products could form the basis of more comprehensive local studies to inform hydropower project development.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"669-679"},"PeriodicalIF":3.3,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.240","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139758296","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

Bias-adjusted and downscaled humidex projections for heat preparedness and adaptation in Canada 用于加拿大防暑降温的偏差调整和降尺度湿度预测

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2024-02-06 DOI: 10.1002/gdj3.241

Kenneth Kin Cheung Chow, Housseyni Sankaré, Emilia P. Diaconescu, Trevor Q. Murdock, Alex J. Cannon

{"title":"Bias-adjusted and downscaled humidex projections for heat preparedness and adaptation in Canada","authors":"Kenneth Kin Cheung Chow, Housseyni Sankaré, Emilia P. Diaconescu, Trevor Q. Murdock, Alex J. Cannon","doi":"10.1002/gdj3.241","DOIUrl":"10.1002/gdj3.241","url":null,"abstract":"To help with preparedness efforts of Canadian public health and safety systems for adaptation to climate change, the humidity index (humidex) and three threshold-based humidex indices (annual number of days with humidex greater than 30, 35 and 40) were computed for a multi-model ensemble of climate change projections, over Canada. The ensemble consists of one run from each 19 Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models and offers historical simulations starting in 1950 and future projections out to 2100 following Shared Socioeconomic Pathways (SSPs): SSP1-2.6, SSP2-4.5 and SSP5-8.5. Each ensemble member was bias-adjusted and statistically downscaled using the Multivariate bias correction—N-dimensional probability density function transform (MBCn) with hourly data from ERA5-Land as the target dataset and following a method proposed by Diaconescu et al. (2023; International Journal of Climatology, 43, 837) to calculate humidex from daily climate model outputs. This paper details the steps for data production including evaluation of the target historical gridded data and selection of downscaling method and presents some of the resulting humidex projections at the end of the century.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"680-698"},"PeriodicalIF":3.3,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.241","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139757982","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