An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation From Satellite-Based Precursor Data

An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation From Satellite-Based Precursor Data

It is very essential to resolve the issues of atmospheric ozone (O<sub>3</sub>) pollution and health impact evaluation with high spatial resolution and accurate near-surface O<sub>3</sub> concentration. Nevertheless, the existing remotely sensed O<sub>3</sub> prod...

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Bibliographic Details
Main Authors:	Xiangkai Wang, Yong Xue, Yuxin Sun, Chunlin Jin, Shuhui Wu
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Improved geographically and temporally weighted regression (IGTWR) satellite-based precursor data surface ozone (O<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$_3$</tex-math> </inline-formula> </named-content>) tropospheric monitoring instrument (TROPOMI)
Online Access:	https://ieeexplore.ieee.org/document/10297420/

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https://ieeexplore.ieee.org/document/10297420/