Sergey Skachko

660 total citations
16 papers, 291 citations indexed

About

Sergey Skachko is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sergey Skachko has authored 16 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Sergey Skachko's work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (8 papers) and Oceanographic and Atmospheric Processes (8 papers). Sergey Skachko is often cited by papers focused on Climate variability and models (10 papers), Meteorological Phenomena and Simulations (8 papers) and Oceanographic and Atmospheric Processes (8 papers). Sergey Skachko collaborates with scholars based in Canada, Germany and Belgium. Sergey Skachko's co-authors include Jens Schröter, Lars Nerger, A. Albertella, Tijana Janjić, Y. Christophe, Simon Chabrillat, Quentin Errera, Richard Ménard, М. А. Носов and Pierre Brasseur and has published in prestigious journals such as Monthly Weather Review, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Sergey Skachko

15 papers receiving 283 citations

Peers

Sergey Skachko

GPC

OCEAN

GEOPH

Annelize van Niekerk United Kingdom

Senliang Bao China

K. Satheesan India

C. Gaffard United Kingdom

Matthieu Plu France

J. Meywerk United States

In‐Hyuk Kwon South Korea

Timothy R. Whitcomb United States

Jean‐Lionel Lacour France

K. N. Uma India

Annelize van Niekerk United Kingdom

Sergey Skachko

324 ×1.4

255 ×1.2

GPC

73 ×0.6

OCEAN

17 ×0.5

10 ×0.6

GEOPH

Citations per year, relative to Sergey Skachko Sergey Skachko (= 1×) peers Annelize van Niekerk

Countries citing papers authored by Sergey Skachko

Since Specialization

Citations

This map shows the geographic impact of Sergey Skachko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sergey Skachko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Skachko more than expected).

Fields of papers citing papers by Sergey Skachko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Skachko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sergey Skachko. The network helps show where Sergey Skachko may publish in the future.

Co-authorship network of co-authors of Sergey Skachko

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Skachko. A scholar is included among the top collaborators of Sergey Skachko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sergey Skachko. Sergey Skachko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Buehner, Mark, Jean‐François Caron, Alain Caya, et al.. (2025). The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1). Geoscientific model development. 18(1). 1–18.

Skachko, Sergey, et al.. (2024). A new global daily sea‐surface temperature analysis system at Environment and Climate Change Canada. Quarterly Journal of the Royal Meteorological Society. 150(763). 3774–3795. 1 indexed citations

Ménard, Richard, Sergey Skachko, & Olivier Pannekoucke. (2021). Numerical discretization causing error variance loss and the need for inflation. Quarterly Journal of the Royal Meteorological Society. 147(740). 3498–3520. 7 indexed citations

Errera, Quentin, Simon Chabrillat, Y. Christophe, et al.. (2019). Technical note: Reanalysis of Aura MLS chemical observations. Atmospheric chemistry and physics. 19(21). 13647–13679. 22 indexed citations

Skachko, Sergey, Mark Buehner, Stéphane Laroche, et al.. (2019). Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1). Geoscientific model development. 12(12). 5097–5112. 14 indexed citations

Androsov, Alexey, Lars Nerger, Reiner Schnur, et al.. (2018). On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state. Journal of Geodesy. 93(2). 141–157. 11 indexed citations

Skachko, Sergey, Richard Ménard, Quentin Errera, Y. Christophe, & Simon Chabrillat. (2016). EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06). Geoscientific model development. 9(8). 2893–2908. 25 indexed citations

Errera, Quentin, Simone Ceccherini, Y. Christophe, et al.. (2016). Harmonisation and diagnostics of MIPAS ESA CH ₄ and N ₂ O profiles using data assimilation. Atmospheric measurement techniques. 9(12). 5895–5909. 4 indexed citations

Skachko, Sergey, Quentin Errera, Richard Ménard, Y. Christophe, & Simon Chabrillat. (2014). Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model. Geoscientific model development. 7(4). 1451–1465. 28 indexed citations

10.

Skachko, Sergey, Quentin Errera, Simon Chabrillat, Richard Ménard, & Y. Christophe. (2013). Comparison of EnKF and 4DVar methods in the context of stratospheric chemistry data assimilation. EGUGA. 1 indexed citations

11.

Janjić, Tijana, Lars Nerger, A. Albertella, Jens Schröter, & Sergey Skachko. (2011). On Domain Localization in Ensemble-Based Kalman Filter Algorithms. Monthly Weather Review. 139(7). 2046–2060. 68 indexed citations

12.

Albertella, A., et al.. (2009). Observational error covariance specification in ensemble based Kalman filter algorithms. 1 indexed citations

13.

Skachko, Sergey, Sergey Danilov, Tijana Janjić, et al.. (2008). Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model. Ocean science. 4(4). 307–318. 9 indexed citations

14.

Skachko, Sergey, Jean‐Michel Brankart, Frédéric Castruccio, Pierre Brasseur, & Jacques Verron. (2008). Improved Turbulent Air–Sea Flux Bulk Parameters for Controlling the Response of the Ocean Mixed Layer: A Sequential Data Assimilation Approach. Journal of Atmospheric and Oceanic Technology. 26(3). 538–555. 14 indexed citations

15.

Brasseur, Pierre, P. Bahurel, Laurent Bertino, et al.. (2005). Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. Quarterly Journal of the Royal Meteorological Society. 131(613). 3561–3582. 68 indexed citations

16.

Носов, М. А. & Sergey Skachko. (2001). Nonlinear tsunami generation mechanism. Natural hazards and earth system sciences. 1(4). 251–253. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact