We herein describe the recovery of a series of data on temperature, humidity, precipitation, evaporation, wind, and local weather conditions from documentary sources obtained from the Jesuit observatory of A Guarda (Galicia, Spain) for the period 1881-1896. The data were digitized and made available in accessible electronic formats. Comparisons were made with present-day meteorological data obtained from two nearby stations. We further believe that the discovery of some new complementary documentary sources made during the present research could be a basis for future data recovery efforts. Among these new results, early ozone data from the period are of outstanding importance to meteorologists.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3387150 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0039281 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Driving factors of ship-induced nitrogen dioxide concentrations over coastal seas of China: Implications for ship emission management.
J Environ Manage
December 2024
College of Management, Shenzhen University, Shenzhen 518073, China; Center for Marine Development,Macau University of Science and Technology, Macao, 999078, China; Shenzhen International Maritime Institute, Shenzhen 518081, China. Electronic address:
Ships generate large amounts of air pollutants, including nitrogen dioxide (NO) that profoundly impacts air quality and poses serious threats to human health. It is crucial to understand the dynamics and drivers of ship-induced NO concentrations in China to support the prevention and control of fine particulate matter (PM) and ozone (O) pollution. This study built Generalized Additive Models (GAMs) to reveal the nonlinear effects of meteorological factors and ship emissions on ship-induced NO concentrations based on the Tropospheric Monitoring Instrument (TROPOMI) satellite data, AIS based emission model and meteorological data.
View Article and Find Full Text PDFLand use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia.
PLoS One
December 2024
Department of Geography, Central University of Tamil Nadu, School of Earth Sciences, Thiruvarur, Tamil Nadu, India.
Land use and land cover (LULC) changes are crucial in influencing regional climate patterns and environmental dynamics. However, the long-term impacts of these changes on climate variability in the Bilate River Basin remain poorly understood. This study examines the spatiotemporal changes in LULC and their influence on climate variability in the Bilate River Basin, Ethiopia, over the period from 1994 to 2024.
View Article and Find Full Text PDFComparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size.
PLoS One
December 2024
São Paulo State University (Unesp), School of Sciences and Engineering, Tupã, São Paulo, Brasil.
Meteorological data acquired with precision, quality, and reliability are crucial in various agronomy fields, especially in studies related to reference evapotranspiration (ETo). ETo plays a fundamental role in the hydrological cycle, irrigation system planning and management, water demand modeling, water stress monitoring, water balance estimation, as well as in hydrological and environmental studies. However, temporal records often encounter issues such as missing measurements.
View Article and Find Full Text PDFPopulation impact of malaria control interventions in the health district of Kati, Mali.
PLoS One
December 2024
Malaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, Mali.
Background: WHO and its partners have adopted alternative control interventions since the failure to eradicate malaria worldwide in the 1960s and 1970s. The aim of these interventions has been to redesign the control interventions to make them more effective and more efficient. The purpose of this study is to assess the population impact of control interventions implemented at the community health area level.
View Article and Find Full Text PDFForecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach.
Sci Rep
December 2024
Bangladesh Institute of Governance and Management, Dhaka, 1207, Bangladesh.
Dengue, a mosquito-borne viral disease, continues to pose severe risks to public health and economic stability in tropical and subtropical regions, particularly in developing nations like Bangladesh. The necessity for advanced forecasting mechanisms has never been more critical to enhance the effectiveness of vector control strategies and resource allocations. This study formulates a dynamic data pipeline to forecast dengue incidence based on 13 meteorological variables using a suite of state-of-the-art machine learning models and custom features engineering, achieving an accuracy of 84.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!