Steven Platnick

Atmospheric Science · 2003–2017

A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Platnick trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bryan A. Baum
  2. Michael D. King
  3. Wolfgang Lucht
  4. Michael J. Pavolonis
  5. Ping Yang
  6. Steven A. Ackerman
  7. Crystal Barker Schaaf

Who trusts Steven Platnick overall

  1. Minghuai Wang
  2. Alexander Marshak
  3. Tianle Yuan
  4. Tamás Várnai
  5. Bryan A. Baum
  6. Michael D. King
  7. Allison C. McComiskey
  8. Julien Delanoë
  9. R. Wood
  10. James Joseph Benedict

Papers from Steven Platnick's perspective

Ordered by how strongly the researchers Steven Platnick trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The MODIS cloud products: algorithms and examples from Terra (IEEE Transactions on Geoscience and Remote Sensing)
  2. An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
  3. Inverse Methods for Atmospheric Sounding: Theory and Practice
  4. Vertical Photon Transport in Cloud Remote Sensing Problems
  5. CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part I: Algorithms (IEEE Transactions on Geoscience and Remote Sensing)
  6. Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 um
  7. Nephelometer Measurements of the Asymmetry Parameter, Volume Extinction Coefficient, and Backscatter Ratio in Arctic Clouds
  8. Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models
  9. Status and performance of the CALIOP lidar (SPIE Remote Sensing)
  10. Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data

Their papers