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Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products

CITE Title : Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products Personal Author(s) : Zhou, Lihang;Yan, Banghua;Sun, Ninghai;Huang, Jingfeng;Liu, Quanhua;Grassotti, Christopher;Lee, Yong-Keun;Straka, William;Niu, Jianguo;Huff, Amy;Kalluri, Satya;Goldberg, Mitch; Published Date : 2023 Source : Atmosphere, 14(2), 263 DOI : https://doi.org/10.3390/atmos14020263 Journal Title : Atmosphere Zhou, Lihang et al. (2023). Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products. 14(2). https://doi.org/10.3390/atmos14020263 Zhou, Lihang et al. "Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products" 14, no. 2 (2023), https://doi.org/10.3390/atmos14020263 Zhou, Lihang et al. "Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products" vol. 14, no. 2, 2023, https://doi.org/10.3390/atmos14020263 Export RIS Citation Information.

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Zhou, Lihang

;

Yan, Banghua

2023 | Atmosphere, 14(2), 263

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The Joint Polar Satellite System (JPSS) mission has provided over ten years of high-quality data products for environment forecasting and monitoring t...
Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California

CITE Title : Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California Personal Author(s) : Vu, Bryan N.;Bi, Jianzhao;Wang, Wenhao;Huff, Amy;Kondragunta, Shobha;Liu, Yang; Published Date : 2022 Source : Remote Sensing of Environment, 271, 112890 DOI : https://doi.org/10.1016/j.rse.2022.112890 Journal Title : Remote Sensing of Environment Vu, Bryan N. et al. (2022). Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California. 271https://doi.org/10.1016/j.rse.2022.112890 Vu, Bryan N. et al. "Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California" 271 (2022), https://doi.org/10.1016/j.rse.2022.112890 Vu, Bryan N. et al. "Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California" vol. 271, 2022, https://doi.org/10.1016/j.rse.2022.112890 Export RIS Citation Information.

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Vu, Bryan N. ;

Bi, Jianzhao

2022 | Remote Sensing of Environment, 271, 112890

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Wildland fire smoke contains large amounts of PM2.5 that can traverse tens to hundreds of kilometers, resulting in significant deterioration of air qu...
Meteorologists Track Wildfires Using Satellite Smoke Images

CITE Title : Meteorologists Track Wildfires Using Satellite Smoke Images Personal Author(s) : Huff, Amy;Kondragunta, Shobha; Published Date : 2017 Source : Eos (2017) DOI : https://doi.org/10.1029/2017eo070275 Journal Title : Eos Huff, Amy and Kondragunta, Shobha (2017). Meteorologists Track Wildfires Using Satellite Smoke Images. https://doi.org/10.1029/2017eo070275 Huff, Amy and Kondragunta, Shobha "Meteorologists Track Wildfires Using Satellite Smoke Images" (2017), https://doi.org/10.1029/2017eo070275 Huff, Amy and Kondragunta, Shobha "Meteorologists Track Wildfires Using Satellite Smoke Images" , 2017, https://doi.org/10.1029/2017eo070275 Export RIS Citation Information.

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Huff, Amy ;

Kondragunta, Shobha

2017 | Eos (2017)

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Enhancements to the National Oceanic and Atmospheric Administration's decision support system give forecasters new capabilities for tracking smoke fro...