Extreme aerosol pollution poses significant risks to the climate, environment, and human health. To investigate the formation and impacts of aerosol pollution extreme events (APEE), the reanalysis product presents meticulous spatiotemporal information on the three-dimensional distribution of aerosols. However, there is a lack of comprehensive evaluation and information regarding the data quality of reanalysis products employed in APEE research, as well as limited understanding of their spatial and temporal distribution, variation, and long-term trends. To address this scientific gap, we conducted a global study for distribution and variation patterns of APEE using two widely-used reanalysis products, MERRA-2 (Modern-Era Retrospective Analysis for Research-2) and CAMS (Copernicus Atmospheric Monitoring Service). The APEE was defined here as a day when the daily aerosol optical depth (AOD) exceeding its 90th percentile for a given station and month. Eleven distinct land regions worldwide were selected for evaluation by comparing both reanalysis products with MODIS satellite products and ground-based observations in terms of frequency, intensity, and temporal trends of APEE. The analysis indicates that MERRA-2 and CAMS exhibit high matching rates (70 % and 80 %, respectively) in terms of occurrence timeline for APEE at monthly and seasonal scales, while also exhibiting strong monthly correlation coefficients (>0.65) with ground-based observations over selected regions. The total AOD (-0.002 ∼ -0.123 decade), APEE AOD (-0.004 ∼ -0.293 decade), and APEE frequency (-0.264 ∼ -1.769 day month decade) of both observations and reanalysis products in most regions showed a decreasing trend with various magnitude, except for some regions such as South Asia where the trend is increasing. Based on the aforementioned evaluation, it is evident that reanalysis products are effective and useful in identifying the temporal trends associated with APEE.
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http://dx.doi.org/10.1016/j.scitotenv.2024.171424 | DOI Listing |
Introduction: COQ4 mutation often leads to a fatal multi-system disease in infants. Recently, it was reported that the biallelic COQ4 variants may be a potential cause of hereditary spastic paraplegia (HSP). This study aims to describe the clinical features and genotype of the COQ4 associated hereditary spastic paraplegia (HSP).
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Department of neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai 264200, Shandong, China.
Parkinson's disease (PD) is a neurodegenerative disorder, and the main clinical characteristics are bradykinesia and muscle stiffness. Cognitive impairment (CI) is a prevalent non-motor manifestation observed in individuals with PD. According to disease severity, it can be divided into PD with mild cognitive impairment (MCI) and PD dementia.
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April 2024
Department of Atmospheric and Oceanic Science, University of Wisconsin, Madison, WI 53706 USA.
Accurate diagnosis of regional atmospheric and surface energy budgets is critical for understanding the spatial distribution of heat uptake associated with the Earth's energy imbalance (EEI). This contribution discusses frameworks and methods for consistent evaluation of key quantities of those budgets using observationally constrained data sets. It thereby touches upon assumptions made in data products which have implications for these evaluations.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
School of Electronic Information Engineering, Beihang University, Beijing, 100191, China.
The accurate monitoring of atmospheric water vapor is important for disaster prevention and environmental management. The ground-based BeiDou Navigation Satellite System (BDS) technique for atmospheric water vapor monitoring has demonstrated high accuracy and stable performance. Considering autonomy and safety, the standalone BDS receiver will be promoted in China and its surrounding areas for meteorological applications.
View Article and Find Full Text PDFHeliyon
August 2024
Department of Electrical, Computer and Biomedical Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates.
Properly understanding solar irradiance can help accurately quantify the solar energy resource and guide sustainable development projects, particularly where measured solar data are scarce or suffer from detrimental data quality issues. This study aims to assess and improve solar global horizontal irradiance (GHI) data from a diverse range of global reanalysis datasets by utilizing measured data from two ground weather stations located in Somaliland. A comprehensive evaluation framework is employed, combining various statistical and regression error metrics, whereas bias correction methods are implemented.
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