Spatially continuous mapping of daily global ozone distribution (2004–2014) with the Aura OMI sensor-Reference-Cited by-同舟云学术

Spatially continuous mapping of daily global ozone distribution (2004–2014) with the Aura OMI sensor

Published:2016-11-08 Issue:21 Volume:121 Page:12,702-12,722
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Peng Xiaolin¹,Shen Huanfeng¹²,Zhang Liangpei²³,Zeng Chao³,Yang Gang⁴,He Zongyi¹

Affiliation:

1. School of Resource and Environmental SciencesWuhan University Wuhan China

2. Collaborative Innovation Center for Geospatial Information Technology Wuhan China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote SensingWuhan University Wuhan China

4. Department of Geography and Spatial Information TechniquesNingbo University Ningbo China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD025013

Reference61 articles.

1. The Exposure–Response Curve for Ozone and Risk of Mortality and the Adequacy of Current Ozone Regulations

2. Bhartia P. K. R.McPeters R.Stolarski L. E.Flynn andC. G.Wellemeyer(2004) A quarter century of ozone observations by SBUV and TOMS paper presented at XX Quadrennial Ozone Symposium Kos Greece 1–8 June.

3. Spatial mapping of ground-based observations of total ozone

4. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

5. Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rapid O₃ assimilations – Part 1: Background and local contributions to tropospheric O₃ changes in China in 2015–2020;Geoscientific Model Development;2023-11-08

2. Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data;International Journal of Applied Earth Observation and Geoinformation;2022-08

3. DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns;Atmospheric Environment;2021-02

4. Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements;Environmental Research Letters;2020-12-01

5. Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China;International Journal of Environmental Research and Public Health;2019-11-30