33 results on '"Labzovskii, Lev D."'
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2. Correction: Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints
3. Study of the strongest dust storm occurred in Uzbekistan in November 2021
4. Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints
5. Who should measure air quality in modern cities? The example of decentralization of urban air quality monitoring in Krasnoyarsk (Siberia, Russia)
6. Long-term changes in CH4 emissions: Comparing ΔCH4/ΔCO2 ratios between observation and proved model in East Asia (2010–2020)
7. Corrigendum to “Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling” [Atmos. Environ. 326 (2024) 120471 1–9]
8. Spaceborne NO2 observations are sensitive to coal mining and processing in the largest coal basin of Russia
9. An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2
10. Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring
11. Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2
12. What can we learn about effectiveness of carbon reduction policies from interannual variability of fossil fuel CO2 emissions in East Asia?
13. Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site
14. Evaluation of Simulated CO2 Concentrations from the CarbonTracker-Asia Model Using In-situ Observations over East Asia for 2009–2013
15. NO2satellite retrievals biased by absorption in water
16. The 2019 Siberian Wildfires as a Turning Point for Environmental Decision-Making in Russia
17. Towards Robust Calculation of Interannual CO2 Growth Signal from TCCON (Total Carbon Column Observing Network)
18. Spaceborne NO2 observations are sensitive to coal mining and processing in the largest coal basin of Russia.
19. The consistency between observations (TCCON, surface measurements and satellites) and CO2 models in reproducing global CO2 growth rate
20. In Situ Aircraft Measurements of CO2 and CH4: Mapping Spatio-Temporal Variations over Western Korea in High-Resolutions
21. Supplementary material to "The consistency between observations (TCCON, surface measurements and satellites) and CO2 models in reproducing global CO2 growth rate"
22. The consistency between observations (TCCON, surface measurements and satellites) and CO2 models in reproducing global CO2 growth rate
23. Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia
24. What can we learn about effectiveness of carbon reduction policies from interannual variability of carbon emissions? Applying ODIAC emission estimates from East Asia of the 2010s
25. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the hygra-cd campaign
26. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign
27. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign
28. The consistency between observations (TCCON, surface measurements and satellites) and CO2 models in reproducing global CO2 growth rate.
29. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign
30. Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site.
31. Evaluation of Simulated CO2 Concentrations from the CarbonTracker-Asia Model Using In-situ Observations over East Asia for 2009–2013.
32. Towards Robust Calculation of Interannual CO 2 Growth Signal from TCCON (Total Carbon Column Observing Network).
33. Interannual Variability of Atmospheric CH 4 and Its Driver Over South Korea Captured by Integrated Data in 2019.
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