{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T02:56:38Z","timestamp":1790477798564,"version":"4.1.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC3706305"],"award-info":[{"award-number":["2023YFC3706305"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Plan Project of the China Meteorological Administration","award":["CMAJBGS202325"],"award-info":[{"award-number":["CMAJBGS202325"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42175153"],"award-info":[{"award-number":["42175153"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Innovation Team of China Meteorological Administration","award":["CMA2024QN13"],"award-info":[{"award-number":["CMA2024QN13"]}]},{"name":"Third Xinjiang Scientific Expedition Program","award":["2022xjkk0903"],"award-info":[{"award-number":["2022xjkk0903"]}]},{"name":"Basic Research Fund of CAMS","award":["2023Z021"],"award-info":[{"award-number":["2023Z021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,16]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Large-scale mapping of surface coarse particulate matter (PM10) concentration remains a key focus for air quality monitoring. Satellite aerosol optical depth (AOD)-based data fusion approaches decouple the non-linear AOD\u2013PM10 relationship, enabling high-resolution PM10 data acquisition, but are limited by spatial incompleteness and the absence of nighttime data. Here, a gridded visibility-based real-time surface PM10 retrieval (RT-SPMR) framework for China is introduced, addressing the gap in seamless hourly PM10 data within the 24-hour cycle. This framework utilizes multisource data inputs and dynamically updated machine-learning models to produce 6.25-km gridded 24-hour PM10 data. Cross-validation showed that the RT-SPMR model's daily retrieval accuracy surpassed prior studies. Additionally, through rolling iterative validation experiments, the model exhibited strong generalization capability and stability, demonstrating its suitability for operational deployment. Taking a record-breaking dust storm as an example, the model proved effective in tracking the fine-scale evolution of the dust intrusion process, especially in under-observed areas. Consequently, the operational RT-SPMR framework provides comprehensive real-time capability for monitoring PM10 pollution in China, and has the potential to improve the accuracy of dust storm forecasting models by enhancing the PM10 initial field.<\/jats:p>","DOI":"10.1093\/nsr\/nwae446","type":"journal-article","created":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T23:27:43Z","timestamp":1733441263000},"source":"Crossref","is-referenced-by-count":6,"title":["Real-time mapping of gapless 24-hour surface PM10 in China"],"prefix":"10.1093","volume":"12","author":[{"given":"Xutao","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8444-9547","authenticated-orcid":false,"given":"Ke","family":"Gui","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanxuan","family":"Shang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoliang","family":"Zeng","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence for Meteorology , , Beijing 100081 ,","place":["China"]},{"name":"Chinese Academy of Meteorological Sciences , , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenrui","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hujia","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Environment, China Meteorological Administration , Shenyang 110166 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yurun","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]},{"name":"Plateau Atmospheric and Environment Key Laboratory of Sichuan Province, College of Atmosphere Sciences, Chengdu University of Information Technology , Chengdu 610225 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yucong","family":"Miao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Peng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Fei","sequence":"additional","affiliation":[{"name":"National Meteorological Information Center , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fugang","family":"Li","sequence":"additional","affiliation":[{"name":"China Global Atmosphere Watch Baseline Observatory , Xining 810001 ,","place":["China"]},{"name":"Greenhouse Gas and Carbon Neutral Key Laboratory of Qinghai Province , Xining 810001 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoxin","family":"Li","sequence":"additional","affiliation":[{"name":"China Global Atmosphere Watch Baseline Observatory , Xining 810001 ,","place":["China"]},{"name":"Greenhouse Gas and Carbon Neutral Key Laboratory of Qinghai Province , Xining 810001 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhili","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences , Beijing 100081 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence for Meteorology , , Beijing 100081 ,","place":["China"]},{"name":"Chinese Academy of Meteorological Sciences , , Beijing 100081 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