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
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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Journal ArticleDOI
Spatially and temporally varying relationships between ecological footprint and influencing factors in China’s provinces Using Geographically Weighted Regression (GWR)
TL;DR: Zhang et al. as discussed by the authors analyzed the spatial variation between ecological footprint (EF) evolution and its influencing factors in the year of 2004 and 2012 in China's 30 provinces and made a comparison between GWR and OLS models and showed that GWR model was superior to OLS in terms of regression goodness of fit, variance comparisons as well as the spatial auto-correlation of residual.
Journal ArticleDOI
Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM2.5 concentrations at 1 km resolution in the Eastern United States
Daniel L. Goldberg,Daniel L. Goldberg,Pawan Gupta,Kai Wang,Chinmay Jena,Yang Zhang,Zifeng Lu,Zifeng Lu,David G. Streets,David G. Streets +9 more
TL;DR: In this article, the authors developed a daily PM2.5 product at 1'×'1'km2 spatial resolution across the eastern United States (east of 90° W) with the aid of 1'x'1 'km2 MAIAC aerosol optical depth (AOD) data, 36'x '36' km2 WRF-Chem output, 1'ox' 1'k2 land-use type from the National Land Cover Database, and 0.125° ERA-Interim re-analysis meteorology.
Journal ArticleDOI
Estimating ground-level PM 2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument
Jun-Wei Xu,Randall V. Martin,Randall V. Martin,A. van Donkelaar,Jhoon Kim,Myungje Choi,Qiang Zhang,Guannan Geng,Yang Liu,Zongwei Ma,Zongwei Ma,Lin Huang,Yuxuan Wang,Yuxuan Wang,Yuxuan Wang,Huansheng Chen,Huizheng Che,Po-Hsiung Lin,Neng Huei Lin +18 more
TL;DR: In this article, the authors determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth retrieved from the Korean geostationary ocean color imager (GOCI) satellite instrument.
Journal ArticleDOI
Examining the influences of air quality in China's cities using multi-scale geographically weighted regression
TL;DR: In this paper, the influence of air pollution in China using a recently proposed model, Multi-scale geographically weighted regression (MGWR), was evaluated using OLS and OLS containing a spatial lag variable (OLSL) and a commonly used local model (GWR).
Journal ArticleDOI
Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model
TL;DR: Li et al. as discussed by the authors used a gap-filling method to generate full-coverage AOD by fusing AOD data from satellite (Himawari-8 and MODIS) and weather forecast model (CAMS), and additional meteorological and geographical variables.
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.