N
Nickolay A. Krotkov
Researcher at Goddard Space Flight Center
Publications - 237
Citations - 13636
Nickolay A. Krotkov is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Ozone Monitoring Instrument & Total Ozone Mapping Spectrometer. The author has an hindex of 63, co-authored 219 publications receiving 11250 citations. Previous affiliations of Nickolay A. Krotkov include University of Baltimore & Raytheon.
Papers
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Journal ArticleDOI
Day–Night Monitoring of Volcanic SO2 and Ash Clouds for Aviation Avoidance at Northern Polar Latitudes
Nickolay A. Krotkov,Vincent J. Realmuto,Can Li,C. J. Seftor,Jason Y. Li,Kelvin Brentzel,Martin Stuefer,Jay Cable,Carl Dierking,J. S. Delamere,David J. Schneider,Johanna Tamminen,S. Hassinen,Timo Ryyppö,John J. Murray,Simon Carn,Jeffrey M Osiensky,Nate Eckstein,Garrett Layne,Jeremy Kirkendall +19 more
TL;DR: In this article, the authors describe NASA's Applied Sciences Disasters Program, which is a collaborative project between the Direct Readout Laboratory (DRL), ozone processing team, Jet Propulsion Laboratory, Geographic Information Network of Alaska (GINA), and Finnish Meteorological Institute (FMI), to expedite the processing and delivery of direct readout (DR) volcanic ash and sulfur dioxide (SO2) satellite data.
Journal Article
The model for calculation of ultraviolet radiation transfer in the Arctic waters
Alexander Vasilkov,O. V. Kopelevich,Nickolay A. Krotkov,S. V. Sheberstov,Vladimir I. Burenkov,S. V. Ershova +5 more
OMI/Aura, SCIAMACHY/Envisat and GOME2/MetopA Sulphur Dioxide Estimates; The Case of Eastern Asia
MariLiza Koukouli,Dimitris Balis,Nicolas Theys,Hugues Brenot,Jeroen van Gent,F. Hendrick,Ting Wang,Pieter Valks,Pascal Hedelt,Guenter Lichtenberg,Andreas Richter,Nickolay A. Krotkov +11 more
TL;DR: In this article, the authors compared satellite observations of suphur dioxide, SO2, over the greater China area from the SCIAMACHY/Envisat, GOME2/MetopA and OMI/Aura missions.
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A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example
TL;DR: In this paper , a machine learning data analysis method was proposed to improve the quality of satellite SO2 products by using a data-driven, physically based algorithm and calculating the ratio between the SCD and the root mean square (rms) of the fitting residuals for each pixel.
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Estimates of Hyperspectral Surface and Underwater UV Planar and Scalar Irradiances from OMI Measurements and Radiative Transfer Computations
TL;DR: In this article , an artificial neural network (ANN) was used to predict the penetration depths of chlorophyll in case I waters using an inherent optical properties (IOP) model.