Atmospheric and Oceanic Optics最新文献_第8页

Cloud Recognition in Hyperspectral Satellite Images Using an Explainable Machine Learning Model 利用可解释的机器学习模型识别高光谱卫星图像中的云层

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700507

A. S. Minkin, O. V. Nikolaeva

{"title":"Cloud Recognition in Hyperspectral Satellite Images Using an Explainable Machine Learning Model","authors":"A. S. Minkin, O. V. Nikolaeva","doi":"10.1134/S1024856024700507","DOIUrl":"10.1134/S1024856024700507","url":null,"abstract":"Problem of developing algorithm based upon neutral networks and machine learning to find clouds on hyperspectral images are under consideration. It is required that the network is not a “black box,” but allows an analysis of the reasons for decision making and classification results. Presented hybrid model includes decision tree trained to overcast recognition (model 1) on pre-selected features of an image in combination with convolutional neural network (model 2). Model 2 uses the result of model 1 and brightness in a selected band of an image. Model 1 finds cloud cores, and model 2 finds cloud edges. Results of testing the hybrid model on data of HYPERION sensor are presented. Data obtained over three surface types (ocean, plant, and urban region) are considered. Overall accuracy, as well as commission and omission errors are assessed. It is shown that the hybrid model can find 85% cloud pixels, only if the neural network is trained on an image where the contrast attains a maximum in the same spectral band. The results of this work can be applied to solve the general problem of analyzing and processing multispectral satellite images and further in environmental science and monitoring of changes in vegetation, ocean and glaciers.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"400 - 408"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Superresonance: The Discovery That Was Not Done More Than One Hundred Years Ago 超共振一百多年前未完成的发现

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700544

I. V. Minin, O. V. Minin

引用次数: 0

Effects of Strong Convection in Summer on Atmospheric Characteristics Derived from GNSS Monitoring Data 夏季强对流对从全球导航卫星系统监测数据得出的大气特征的影响

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700520

O. G. Khutorova, M. V. Maslova, V. E. Khutorov

引用次数: 0

Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic 西伯利亚生物质燃烧气溶胶在北极的半间接辐射效应起源模型分析

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700477

I. B. Konovalov, N. A. Golovushkin

{"title":"Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic","authors":"I. B. Konovalov, N. A. Golovushkin","doi":"10.1134/S1024856024700477","DOIUrl":"10.1134/S1024856024700477","url":null,"abstract":"The effects of atmospheric aerosol, including smoke, on cloudiness are of great interest for understanding the current climate changes. However, the radiative effect of Siberian biomass burning aerosol (SBBA) on clouds in the Arctic has been little studied. Based on simulation with the CHIMERE chemistry transport model and WRF meteorological model, we analyze the processes responsible for origination of the semidirect radiative effect (SDRE) of smoke from Siberian wildfires over snow–ice surfaces in the Arctic, including time- and space-averaged changes in the radiative fluxes, cloud parameters in different cloud levels, and some meteorological characteristics associated with cloud generation due to the radiative effect of (SBBA). The results show that solar radiation scattering by SBBA particles increases the static stability of the atmosphere at altitudes of 2–4 km and suppresses vertical turbulent motions, which decreases the rate of water condensation, the optical thickness of clouds, and the mixing ratio in the medium- and partly lower-level clouds. The decrease in the optical thickness of clouds, in turn, causes origination of positive SDRE of SBBA at the top and bottom of the atmosphere. Radiation absorption by SBBA particles does not play an essential role in these processes, although additionally changes meteorological characteristics. Our results expand fundamental knowledge of aerosol–cloud interactions in the Arctic and can be used for improving climate models.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"382 - 393"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of Energy Characteristics of Rainfall with an Optical Rain Gage 利用光学雨量计估算降雨的能量特征

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700593

V. V. Kalchikhin, A. A. Kobzev, A. A. Tikhomirov

引用次数: 0

Modeling Climate Changes and Atmospheric Ozone Variations from 1980 to 2020 Using the Chemistry-Climate Model SOCOLv3 利用化学-气候模型 SOCOLv3 模拟 1980 年至 2020 年的气候变化和大气臭氧变化

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700519

M. A. Usacheva, S. P. Smyshlyaev, E. V. Rozanov, B. A. Zubov

{"title":"Modeling Climate Changes and Atmospheric Ozone Variations from 1980 to 2020 Using the Chemistry-Climate Model SOCOLv3","authors":"M. A. Usacheva, S. P. Smyshlyaev, E. V. Rozanov, B. A. Zubov","doi":"10.1134/S1024856024700519","DOIUrl":"10.1134/S1024856024700519","url":null,"abstract":"To assess the relative contribution of key chemical and physical processes to the observed variability in climate and atmospheric gas composition from the 1980s to the 2020s, numerical experiments were conducted using the chemical-climatic model SOCOLv3. The study investigated factors determining the variability of principal climatic characteristics, including changes in the concentrations of ozone-depleting substances; variations in greenhouse gas concentrations, sea surface temperature, and sea ice extent; fluctuations in solar activity; and alterations in atmospheric aerosol content. Calculations for scenarios considering each of these factors individually, as well as a baseline model experiment accounting for all factors concurrently, were performed to evaluate the relative roles of these factors. The outcomes of the numerical experiments determined the relative contributions of different factors to changes in tropospheric temperature, lower stratospheric temperature, and ozone content from 1980 to 2020. The results of the model calculations were then compared with data from SBUV satellite measurements.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"409 - 414"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Simulation of QBO and ENSO Phase Effect on the Propagation of Planetary Waves and the Evolvement of Sudden Stratospheric Warming QBO 和 ENSO 相位对行星波传播和平流层骤暖演变的影响的数值模拟

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700489

V. D. Lifar, K. A. Didenko, A. V. Koval, T. S. Ermakova

{"title":"Numerical Simulation of QBO and ENSO Phase Effect on the Propagation of Planetary Waves and the Evolvement of Sudden Stratospheric Warming","authors":"V. D. Lifar, K. A. Didenko, A. V. Koval, T. S. Ermakova","doi":"10.1134/S1024856024700489","DOIUrl":"10.1134/S1024856024700489","url":null,"abstract":"The effects of the quasi-biennial oscillation (QBO) of the zonal wind in the equatorial stratosphere and the El Niño Southern Oscillation (ENSO) on the dynamic state of the stratosphere in winter and the evolvement of sudden stratospheric warming (SSW) are studied in numerical experiments with the nonlinear general circulation model of the middle and upper atmosphere (MUAM) for winter conditions of the Northern Hemisphere (January–February). The sensitivity of the model fields of zonal wind, temperature, and geopotential to ENSO and QBO phases is estimated. The statistics of observed SSWs and their evolution differ depending on the combination of phases, e.g., the largest number of SSWs is observed under the combination of El Niño and an easterly phase of QBO; major SSWs are not reproduced by the model under the combination of La Niña and a westerly phase of QBO. The fields of hydrodynamic parameters have been averaged for combinations of El Niño/easterly phase of QBO, El Niño/westerly phase of QBO, and La Niña/easterly phase of QBO to analyze the characteristic features of the model “climatic” SSWs. The analysis shows the maximal temperature rise in the stratosphere and cooling in the mesosphere in the model under El Niño and the eastern phase of QBO; wind weakening is maximal under El Niño and the western phase of QBO. The highest planetary wave amplitudes are modeled under easterly QBO phases regardless of the ENSO phase. The results can be used in climate forecasting on time scales from one month to decades.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"415 - 421"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effect of Electronic Halos on the Scattering Properties of Solid Particles in the Microwave Range 电子晕对微波范围内固体粒子散射特性的影响

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700568

S. F. Balandin, V. A. Donchenko, V. F. Myshkin, I. I. Pavlov, V. A. Pogodaev, V. L. Khazan, V. A. Khan

引用次数: 0

Influence of Atmospheric Precipitation and Surface Runoff on Phytoplankton Characteristics in the Northern Part of the Black Sea 大气降水和地表径流对黑海北部浮游植物特征的影响

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S1024856024700611

I. V. Kovalyova, V. V. Suslin

{"title":"Influence of Atmospheric Precipitation and Surface Runoff on Phytoplankton Characteristics in the Northern Part of the Black Sea","authors":"I. V. Kovalyova, V. V. Suslin","doi":"10.1134/S1024856024700611","DOIUrl":"10.1134/S1024856024700611","url":null,"abstract":"The joint dynamics of phytoplankton parameters (primary production, specific growth rate, and biomass) and amount of precipitation in coastal regions and on the shelf in the northern part of the Black Sea in 1998–2015 are studied based on satellite data (SG) (GPCPMON) GPCP Version 3.2, TRMM TMPA (3B42RT), SeaWiFS from 1998 to 2010, MODIS-Aqua from 2002 to 2015, and MODIS-Terra from 2000 to 2015. The phytoplankton parameters are calculated according to earlier developed models. Their monthly average values, as well as bi-weekly and daily values of atmospheric precipitation are assessed. As a result of the study, insignificance of the part of atmospheric precipitation in the variability of phytoplankton parameters on vast water areas and long time periods is revealed. It sometimes increases to 30% in offshore areas in the presence of influxes of large rivers. The effect of atmospheric precipitation on the biological productivity of phytoplankton in small bounded water areas and short time periods is more pronounced. According to our data for 18 years, a correlation between the specific growth rate and precipitation on the Black Sea shelf is stronger in winter than in other seasons; the correlations of biomass and primary production of phytoplankton with atmospheric precipitation are less pronounced. The specific growth rate of phytoplankton correlates with precipitation stronger than other phytoplankton parameters under study. An increase in the amount of precipitation over previous level with the monthly averages above 0.6 mm/day increases the specific growth rate or maintained it at the same level. The increase in the specific growth rate is not the same everywhere and not proportional to the amount of atmospheric precipitation. This witnesses the influence of many factors on the phytoplankton parameters; however, precipitation could be an additional stimulating factor.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"453 - 460"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Air Composition over the Russian Arctic–4: Atmospheric Aerosols 俄罗斯北极上空的空气成分-4：大气气溶胶

IF 0.9

Atmospheric and Oceanic Optics Pub Date : 2024-09-05 DOI: 10.1134/S102485602470057X

O. Yu. Antokhina, P. N. Antokhin, V. G. Arshinova, M. Yu. Arshinov, B. D. Belan, S. B. Belan, O. I. Berdashkinova, L. P. Golobokova, D. K. Davydov, G. A. Ivlev, A. V. Kozlov, N. A. Onischuk, T. M. Rasskazchikova, D. E. Savkin, D. V. Simonenkov, T. K. Sklyadneva, G. N. Tolmachev, A. V. Fofonov, T. V. Khodzher

{"title":"Air Composition over the Russian Arctic–4: Atmospheric Aerosols","authors":"O. Yu. Antokhina, P. N. Antokhin, V. G. Arshinova, M. Yu. Arshinov, B. D. Belan, S. B. Belan, O. I. Berdashkinova, L. P. Golobokova, D. K. Davydov, G. A. Ivlev, A. V. Kozlov, N. A. Onischuk, T. M. Rasskazchikova, D. E. Savkin, D. V. Simonenkov, T. K. Sklyadneva, G. N. Tolmachev, A. V. Fofonov, T. V. Khodzher","doi":"10.1134/S102485602470057X","DOIUrl":"10.1134/S102485602470057X","url":null,"abstract":"This work presents the analysis of the spatial distribution of number concentration, size distribution, and chemical composition of aerosol particles measured for the first time over the seas of the Russian Arctic. Various types of vertical distribution of the number concentration were recorded, characteristic of both coastal marine and continental areas. Most of them turned out to be of the continental type. Attention is also drawn to the almost complete absence of coarse particles above 2–3 km over all seas. The chemical composition of the Arctic aerosol at altitudes of both 200 m and 5000 m contains ions that can be referred to as both marine and continental. The identifiable carbon- and salt-free elemental part of the aerosol over the Arctic is 3–4 times larger than that of ions. Over all seas and at both altitudes, the Arctic aerosols mainly contain elements of terrigenous origin – Al, Cu, Fe, and Si. Over almost all seas, except the Barents Sea, Si is dominant in the elemental composition of the aerosol, its contribution over the Chukchi Sea reaching 85%. The analysis of backward trajectories showed that in all cases considered, whether the aerosol was formed over the continent or sea, air trajectories passed both over sea and over land. In this case, the formed particles could be enriched with additional ions and elements along their pathway. This work completes a cycle of the papers, devoted to studying air composition, which was carried out over the seas of the Russian Arctic in September 2020. Our results can be used to model the atmospheric processes occurring in the Arctic under the conditions of changing climate.","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 3","pages":"357 - 372"},"PeriodicalIF":0.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1134/S102485602470057X.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0