A. P. Rozanov, I. V. Zadvornykh, K. G. Gribanov, V. I. Zakharov
{"title":"基于地面大气高光谱探测结果和人工神经网络模型的森林生态系统二氧化碳通量估算值","authors":"A. P. Rozanov, I. V. Zadvornykh, K. G. Gribanov, V. I. Zakharov","doi":"10.1134/S1024856024700246","DOIUrl":null,"url":null,"abstract":"<p>The results of hyperspectral sounding of the atmosphere at the Ural Atmospheric Station in Kourovka from 2012–2022 are presented. It is shown that the average rate of carbon dioxide growth in the atmosphere of this region is about 2.5 ppm per year. The amount of carbon dioxide absorbed from the atmosphere by the forest ecosystem per unit area during the growing season (April–September) in the vicinity of the carbon site in Kourovka is estimated using two independent methods. One method is based on the data on the CO<sub>2</sub> total column obtained from sounding the atmosphere with a ground-based high-resolution infrared Fourier spectrometer. The second method is based on the use of an artificial neural network with data from spectral channels of the MODIS satellite sensor as input. The results obtained by both methods have good agreement: the amount of CO<sub>2</sub> absorbed from the atmosphere by the forest ecosystem in the vicinity of the carbon site during the growing season of 2022 is ~1.5 t/ha according to the first method and ~1.3 t/ha according to the second method.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimates of Carbon Dioxide Flux into the Forest Ecosystem Based on Results of Ground-Based Hyperspectral Sounding of the Atmosphere and an Artificial Neural Network Model\",\"authors\":\"A. P. Rozanov, I. V. Zadvornykh, K. G. Gribanov, V. I. Zakharov\",\"doi\":\"10.1134/S1024856024700246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The results of hyperspectral sounding of the atmosphere at the Ural Atmospheric Station in Kourovka from 2012–2022 are presented. It is shown that the average rate of carbon dioxide growth in the atmosphere of this region is about 2.5 ppm per year. The amount of carbon dioxide absorbed from the atmosphere by the forest ecosystem per unit area during the growing season (April–September) in the vicinity of the carbon site in Kourovka is estimated using two independent methods. One method is based on the data on the CO<sub>2</sub> total column obtained from sounding the atmosphere with a ground-based high-resolution infrared Fourier spectrometer. The second method is based on the use of an artificial neural network with data from spectral channels of the MODIS satellite sensor as input. The results obtained by both methods have good agreement: the amount of CO<sub>2</sub> absorbed from the atmosphere by the forest ecosystem in the vicinity of the carbon site during the growing season of 2022 is ~1.5 t/ha according to the first method and ~1.3 t/ha according to the second method.</p>\",\"PeriodicalId\":46751,\"journal\":{\"name\":\"Atmospheric and Oceanic Optics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric and Oceanic Optics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1024856024700246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric and Oceanic Optics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1024856024700246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
Estimates of Carbon Dioxide Flux into the Forest Ecosystem Based on Results of Ground-Based Hyperspectral Sounding of the Atmosphere and an Artificial Neural Network Model
The results of hyperspectral sounding of the atmosphere at the Ural Atmospheric Station in Kourovka from 2012–2022 are presented. It is shown that the average rate of carbon dioxide growth in the atmosphere of this region is about 2.5 ppm per year. The amount of carbon dioxide absorbed from the atmosphere by the forest ecosystem per unit area during the growing season (April–September) in the vicinity of the carbon site in Kourovka is estimated using two independent methods. One method is based on the data on the CO2 total column obtained from sounding the atmosphere with a ground-based high-resolution infrared Fourier spectrometer. The second method is based on the use of an artificial neural network with data from spectral channels of the MODIS satellite sensor as input. The results obtained by both methods have good agreement: the amount of CO2 absorbed from the atmosphere by the forest ecosystem in the vicinity of the carbon site during the growing season of 2022 is ~1.5 t/ha according to the first method and ~1.3 t/ha according to the second method.
期刊介绍:
Atmospheric and Oceanic Optics is an international peer reviewed journal that presents experimental and theoretical articles relevant to a wide range of problems of atmospheric and oceanic optics, ecology, and climate. The journal coverage includes: scattering and transfer of optical waves, spectroscopy of atmospheric gases, turbulent and nonlinear optical phenomena, adaptive optics, remote (ground-based, airborne, and spaceborne) sensing of the atmosphere and the surface, methods for solving of inverse problems, new equipment for optical investigations, development of computer programs and databases for optical studies. Thematic issues are devoted to the studies of atmospheric ozone, adaptive, nonlinear, and coherent optics, regional climate and environmental monitoring, and other subjects.