基本信息
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个人简介
Research Interests
Cloud models and parameterizations
Cloud-aerosol and cloud-radiation interactions
Remote sensing
Mikhail Ovchinnikov's current research interests include a wide range of topics in cloud physics, as well as cloud-related aspects of remote sensing, radiation, and atmospheric dynamics. Dr. Ovchinnikov relies on a combination of numerical modeling, in situ, and remote observations in nearly all of his studies, which have three major thrusts: 1) studying individual aerosol and cloud processes, 2) retrieving cloud properties using remote sensors, and 3) developing, testing, and improving modules and parameterizations for atmospheric models from cloud to global scales. Finding new ways to evaluate these models and validate simulation results is always the top priority of these studies.
A unifying theme of several of his projects funded by the Deparment of Energy and the National Aeronautics and Space Administration is the use of an "instrument simulator" concept, in which the model output is used to reconstruct what a specific observing system would detect. The synthetic measurements are then used to evaluate the model and to test retrieval algorithms.
Outstanding Ph.D. Dissertation Award, The University of Oklahoma, 1998
American Meteorological Society
American Geophysical Union
2016-present, AMS Cloud Physics committee
2011-present, The Journal of Advances, Modeling Earth Systems (JAMES), Associate Editor
Cloud models and parameterizations
Cloud-aerosol and cloud-radiation interactions
Remote sensing
Mikhail Ovchinnikov's current research interests include a wide range of topics in cloud physics, as well as cloud-related aspects of remote sensing, radiation, and atmospheric dynamics. Dr. Ovchinnikov relies on a combination of numerical modeling, in situ, and remote observations in nearly all of his studies, which have three major thrusts: 1) studying individual aerosol and cloud processes, 2) retrieving cloud properties using remote sensors, and 3) developing, testing, and improving modules and parameterizations for atmospheric models from cloud to global scales. Finding new ways to evaluate these models and validate simulation results is always the top priority of these studies.
A unifying theme of several of his projects funded by the Deparment of Energy and the National Aeronautics and Space Administration is the use of an "instrument simulator" concept, in which the model output is used to reconstruct what a specific observing system would detect. The synthetic measurements are then used to evaluate the model and to test retrieval algorithms.
Outstanding Ph.D. Dissertation Award, The University of Oklahoma, 1998
American Meteorological Society
American Geophysical Union
2016-present, AMS Cloud Physics committee
2011-present, The Journal of Advances, Modeling Earth Systems (JAMES), Associate Editor
研究兴趣
论文共 116 篇作者统计合作学者相似作者
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JOURNAL OF THE ATMOSPHERIC SCIENCESno. 2 (2024): 435-458
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMSno. 1 (2024): n/a-n/a
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMSno. 2 (2023): n/a-n/a
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMSno. 5 (2023)
PHYSICAL REVIEW RESEARCHno. 4 (2023)
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMSno. 8 (2023)
Physical Review Researchno. 4 (2023): 043018
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMSno. 2 (2023): n/a-n/a
Jesse C. Anderson,Payton Beeler,Mikhail Ovchinnikov,Will Cantrell,Steven Krueger, Raymond A. Shaw,Fan Yang,Laura Fierce
GEOPHYSICAL RESEARCH LETTERSno. 17 (2023)
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