Journal ArticleDOI
Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression
Xuefei Hu,Lance A. Waller,Mohammad Z. Al-Hamdan,William L. Crosson,Maurice G. Estes,Sue Estes,Dale A. Quattrochi,Jeremy A. Sarnat,Yang Liu +8 more
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TLDR
A geographically weighted regression model was developed to examine the relationship among PM(2.5), aerosol optical depth, meteorological parameters, and land use information, and suggested that North American Land Data Assimilation System could be used as an alternative of North American Regional Reanalysis to provide some of the meteorological fields.About:
This article is published in Environmental Research.The article was published on 2013-02-01. It has received 288 citations till now. The article focuses on the topics: Data assimilation & Cross-validation.read more
Citations
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Analysis of spatio-temporal distribution characteristics and socioeconomic drivers of urban air quality in China
TL;DR: Wang et al. as discussed by the authors employed the hourly average concentration data on the air quality index (AQI) and its six component pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) in 336 Chinese cities from 2014 to 2019.
Journal ArticleDOI
Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran
Parya Broomandi,Byron Crape,Ali Jahanbakhshi,Nasime Janatian,Amirhossein Nikfal,Mahsa Tamjidi,Jong Kim,Nick Middleton,Ferhat Karaca +8 more
TL;DR: In this article , a plausible correlation between a dust intrusion episode and a daily increase in COVID-19 cases was assessed, where cross-correlations between daily combined aerosol optical depths (AODs) and confirmed cases were computed for Khuzestan, Iran.
Journal ArticleDOI
Analysis of spatio-temporal distribution characteristics and socioeconomic drivers of urban air quality in China
TL;DR: Wang et al. as mentioned in this paper employed the hourly average concentration data on the air quality index (AQI) and its six component pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) in 336 Chinese cities from 2014 to 2019.
Journal ArticleDOI
Estimating PM2.5 surface concentrations from AOD: A combination of SLSTR and MODIS
TL;DR: In this article , the authors investigated the potential to produce reliable maps of PM2.5 surface concentrations for Germany and parts of the surrounding countries using AOD based on observations by three different satellite sensors.
Journal ArticleDOI
Estimating pm2.5 in the beijing-tianjin-hebei region using modis aod products from 2014 to 2015
TL;DR: Li et al. as discussed by the authors presented an estimation on PM2.5 distributions in the Beijing-Tianjin-Hebei (BTH) region from September 2014 to August 2015 by combining the MODIS satellite data, ground measurements of PM 2.5, meteorological parameters and social-economic factors based on the geographically weighted regression model.
References
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Journal ArticleDOI
Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution
C. Arden Pope,Richard T. Burnett,Michael J. Thun,Eugenia E. Calle,Daniel Krewski,Kazuhiko Ito,George D. Thurston +6 more
TL;DR: Fine particulate and sulfur oxide--related pollution were associated with all-cause, lung cancer, and cardiopulmonary mortality and long-term exposure to combustion-related fine particulate air pollution is an important environmental risk factor for cardiopULmonary and lung cancer mortality.
Journal ArticleDOI
NCEP–DOE AMIP-II Reanalysis (R-2)
Masao Kanamitsu,Wesley Ebisuzaki,John S. Woollen,Shi-Keng Yang,J. J. Hnilo,M. Fiorino,Gerald L. Potter +6 more
TL;DR: The NCEP-DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis is a follow-on project to the "50-year" (1948-present) N CEP-NCAR Reanalysis Project.
Journal ArticleDOI
Spatial Autocorrelation: Trouble or New Paradigm?
TL;DR: The paper discusses first how autocorrelation in ecological variables can be described and measured, and ways are presented of explicitly introducing spatial structures into ecological models, and two approaches are proposed.
Journal ArticleDOI
North american regional reanalysis
Fedor Mesinger,Geoff DiMego,Eugenia Kalnay,Kenneth E. Mitchell,Perry Shafran,Wesley Ebisuzaki,Dusan Jovic,John S. Woollen,Eric Rogers,Ernesto Hugo Berbery,Michael Ek,Yun Fan,Robert Grumbine,Wayne Higgins,Hong Li,Ying Lin,Geoff Manikin,David F. Parrish,Wei Shi +18 more
TL;DR: The North American Regional Reanalysis (NARR) project as mentioned in this paper uses the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output) to capture regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability.
Book
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
TL;DR: In this paper, the basic GWR model is extended to include local statistics and local models for spatial data, and a software for Geographically Weighting Regression is described. But this software is not suitable for the analysis of large scale data.