Alexei I. Lyapustin
Global and Planetary Change · 2011–2020
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 36 citations into it
- Atmospheric Science — 31 citations into it
Whom Alexei I. Lyapustin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Alexei I. Lyapustin's perspective
Ordered by how strongly the researchers Alexei I. Lyapustin trusts endorse each paper. Same corpus, a different order for every researcher.
- Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations
- Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements
- An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
- A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements
- Inferring black carbon content and specific absorption from Aerosol Robotic Network (AERONET) aerosol retrievals
- Considerations in the parametric modeling of BRDF and albedo from multiangular satellite sensor observations
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies. (Journal of Climate)
- The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). (Journal of Climate)
- Cardiovascular Mortality and Long-Term Exposure to Particulate Air Pollution: Epidemiological Evidence of General Pathophysiological Pathways of Disease (Circulation)
- Pattern Recognition and Machine Learning
Their papers
- Spatial validation reveals poor predictive performance of large-scale ecological mapping models (2020) — 615 citations
- The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 (2020) — 356 citations
- An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution. (2019) — 635 citations
- Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors. (2016) — 1,065 citations
- Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States (2016) — 461 citations
- Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables (2011) — 296 citations