Dr. Andrey Savtchenko received his M.S. in physics from Sofia University, Sofia, Bulgaria, in 1981, after which he received M.S. in radar remote sensing from the Bulgarian Academy of Sciences, Sofia, Bulgaria, in 1983. During his years at the Academy he built substantial expertise in Radar Oceanography, and in 1992 was awarded with research fellowship from the International Research and Exchange Board (IREX), United States Information Agency. In the fall of 1993, he was awarded a scholarship at the University of Delaware, from a grant from the US Department of Defense Office of Naval Research (ONR), and consequently enrolled in a Ph.D. program at the University of Delaware, College of Marine Studies, Delaware.
He continued his research specializing in the area of non-linear air-sea interactions and associated radar returns, and in the summer of 1997 graduated with Ph.D. in applied ocean sciences. Immediately upon his graduation, Dr. Savtchenko assumed Postdoctoral Associate position at the University of Miami, Rosenstiel School of Marine and Atmospheric Science, Department of Meteorology and Physical Oceanography, Miami, Florida. In this role, his research was oriented towards profiling of tropospheric winds, clouds, precipitation, and hurricanes.
Dr. Savtchenko joined NASA/GSFC in 2000, supporting Earth Observing System, and brought with him a broad knowledge in air-sea exchanges, remote sensing, boundary layer meteorology, advanced statistics, tutoring students and managing investigative teams. He is currently Principal Support Scientist with ADNET, on the SESDA 4 project, leading wide range of tasks at the Global Change Data Center, Code 610.2. He is involved in providing science data analysis supporting numerous missions: MODIS, AIRS, CloudSat, CALIPSO, OMI, MLS, TRMM, GPM, MERRA, and most recently OCO. He leads various data management tasks that include building of algorithms for collocation of data from A-Train sensors, efficient data storage and archival, and developing algorithms for computing of highly descriptive spatial metadata. He has hands-on expertise with atmospheric corrections and mapping techniques of visible/IR satellite imagery.
His current interests are primarily in atmospheric thermodynamics, physics of clouds and precipitation, radiative transfer, boundary layer meteorology, and climate variability. In his work he is applying advanced statistical methods, such as empirical orthogonal functions, wavelet analysis, Hilbert transform, hypothesis and confidence tests. Even though not directly involved with optimal interpolation and assimilation techniques, he is keenly interested in their mathematical basis.
Dr. Savtchenko is a member of AGU.
Atmospheric science
Atmospheric thermodynamics, profiles of temperature and water vapor, atmospheric circulation, physics of clouds and precipitation, radiative transfer, boundary layer meteorology, climate variability.
Precipitation
Principal modes of variability. Climate indices and precipitation anomalies.
Climate variability
Interannual climate variability indices, El Nino, Pacific Decadal Oscillation, North Atlantic Oscilation. Variability of water vapor, temperature and precipitation.
Physical processes at the air-sea interface
Laboratory and field measurements of turbulent momentum and heat exchange, aerodynamic roughness, surface drift currents, surface elevations and slopes, surface waves.
Statistical techniques
Application of advanced statistical methods, such as empirical orthogonal functions, wavelet analysis, Hilbert transform, hypothesis and confidence tests.
Remote Sensing
Marine Radars. Cloud and precipitation profiling radars. Spaceborne Visible and IR sensors. Atmospheric Spectroscopy.
Refereed
Liu, Z., D. Ostrenga, A. K. Savtchenko, et al. 2022. "NASA Global Near-Real-Time and Research Precipitation Products for Flood Monitoring, Modeling, Assessment, and Research."
Flood Handbook ,
Boca Raton: 519-540,
ISBN: 9780429463938.
[https://doi.org/10.1201/9780429463938]
Savtchenko, A. K., and M. G. Khayat. 2021. "NO2 anomalies - Economy attribution and rapid climate response."
Atmospheric Environment,
254:
118351
[10.1016/j.atmosenv.2021.118351]
Savtchenko, A. K., G. J. Huffman, and B. E. Vollmer. 2015. "Assessment of precipitation anomalies in California using TRMM and MERRA data
."
Journal of Geophysical Research: Atmospheres,
120:
8206–8215
[10.1002/2015JD023573]
Wei, J., A. Savtchenko, B. Vollmer, et al. 2014. "Advances in CO₂ Observations From AIRS and ACOS."
IEEE Geosci. Remote Sensing Lett.,
11
(5):
891-895
[10.1109/LGRS.2013.2281147]
Hearty, T. J., A. Savtchenko, B. Tian, et al. 2014. "Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis."
J. Geophys. Res. Atmos.,
119
(6):
2725-2741
[10.1002/2013JD021205]
Savtchenko, A. K. 2009. "Deep convection and upper-tropospheric humidity: A look from the A-Train."
Geophysical Research Letters,
36
(6):
L06814
[10.1029/2009GL037508]
Savtchenko, A. K., R. Kummerer, P. Smith, et al. 2008. "A-Train Data Depot - Bringing atmospheric measurements together."
IEEE Trans. on Geoscience and Remote Sensing,
46
(10):
2788-2795
[10.1109/TGRS.2008.917600]
Savtchenko, A. K. 1999. "Effect of large eddies on atmospheric surface layer turbulence and the underlying wave field."
104
(C2):
[10.1029/1998JC900076]
Dr. Andrey Savtchenko received his M.S. in physics from Sofia University, Sofia, Bulgaria, in 1981, after which he received M.S. in radar remote sensing from the Bulgarian Academy of Sciences, Sofia, Bulgaria, in 1983. During his years at the Academy he built substantial expertise in Radar Oceanography, and in 1992 was awarded with research fellowship from the International Research and Exchange Board (IREX), United States Information Agency. In the fall of 1993, he was awarded a scholarship at the University of Delaware, from a grant from the US Department of Defense Office of Naval Research (ONR), and consequently enrolled in a Ph.D. program at the University of Delaware, College of Marine Studies, Delaware.
He continued his research specializing in the area of non-linear air-sea interactions and associated radar returns, and in the summer of 1997 graduated with Ph.D. in applied ocean sciences. Immediately upon his graduation, Dr. Savtchenko assumed Postdoctoral Associate position at the University of Miami, Rosenstiel School of Marine and Atmospheric Science, Department of Meteorology and Physical Oceanography, Miami, Florida. In this role, his research was oriented towards profiling of tropospheric winds, clouds, precipitation, and hurricanes.
Dr. Savtchenko joined NASA/GSFC in 2000, supporting Earth Observing System, and brought with him a broad knowledge in air-sea exchanges, remote sensing, boundary layer meteorology, advanced statistics, tutoring students and managing investigative teams. He is currently Principal Support Scientist with ADNET, on the SESDA 4 project, leading wide range of tasks at the Global Change Data Center, Code 610.2. He is involved in providing science data analysis supporting numerous missions: MODIS, AIRS, CloudSat, CALIPSO, OMI, MLS, TRMM, GPM, MERRA, and most recently OCO. He leads various data management tasks that include building of algorithms for collocation of data from A-Train sensors, efficient data storage and archival, and developing algorithms for computing of highly descriptive spatial metadata. He has hands-on expertise with atmospheric corrections and mapping techniques of visible/IR satellite imagery.
His current interests are primarily in atmospheric thermodynamics, physics of clouds and precipitation, radiative transfer, boundary layer meteorology, and climate variability. In his work he is applying advanced statistical methods, such as empirical orthogonal functions, wavelet analysis, Hilbert transform, hypothesis and confidence tests. Even though not directly involved with optimal interpolation and assimilation techniques, he is keenly interested in their mathematical basis.
Dr. Savtchenko is a member of AGU.
Refereed
Liu, Z., D. Ostrenga, A. K. Savtchenko, et al. 2022. "NASA Global Near-Real-Time and Research Precipitation Products for Flood Monitoring, Modeling, Assessment, and Research."
Flood Handbook
519-540
[https://doi.org/10.1201/9780429463938]
Savtchenko, A. K., and M. G. Khayat. 2021. "NO2 anomalies - Economy attribution and rapid climate response."
Atmospheric Environment
254
118351
[10.1016/j.atmosenv.2021.118351]
Savtchenko, A. K., G. J. Huffman, and B. E. Vollmer. 2015. "Assessment of precipitation anomalies in California using TRMM and MERRA data
."
Journal of Geophysical Research: Atmospheres
120
8206–8215
[10.1002/2015JD023573]
Wei, J., A. Savtchenko, B. Vollmer, et al. 2014. "Advances in CO₂ Observations From AIRS and ACOS."
IEEE Geosci. Remote Sensing Lett.
11
(5):
891-895
[10.1109/LGRS.2013.2281147]
Hearty, T. J., A. Savtchenko, B. Tian, et al. 2014. "Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis."
J. Geophys. Res. Atmos.
119
(6):
2725-2741
[10.1002/2013JD021205]
Savtchenko, A. K. 2009. "Deep convection and upper-tropospheric humidity: A look from the A-Train."
Geophysical Research Letters
36
(6):
L06814
[10.1029/2009GL037508]
Savtchenko, A. K., R. Kummerer, P. Smith, et al. 2008. "A-Train Data Depot - Bringing atmospheric measurements together."
IEEE Trans. on Geoscience and Remote Sensing
46
(10):
2788-2795
[10.1109/TGRS.2008.917600]
Savtchenko, A. K. 1999. "Effect of large eddies on atmospheric surface layer turbulence and the underlying wave field."
104
(C2):
[10.1029/1998JC900076]
