Peter R. Colarco

Atmospheric Science · 2010–2017

A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Peter R. Colarco trusts overall

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

  1. Oleg Dubovik
  2. Omar Torres
  3. Mian Chin
  4. Paul Ginoux
  5. Zhaokai Meng
  6. Shian‐Jiann Lin
  7. D. Winker
  8. R. V. Cakmur
  9. Maxim A. Yurkin
  10. Michael D. King

Who trusts Peter R. Colarco overall

  1. C. Randles
  2. V. Buchard
  3. A. D. Silva
  4. Sandra L. LeGrand
  5. R. Gelaro
  6. Anton Darmenov
  7. Christopher W. O'Dell

Papers from Peter R. Colarco's perspective

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

  1. A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements
  2. Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements
  3. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements
  4. Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations
  5. Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
  6. Initial performance assessment of CALIOP
  7. African Droughts and Dust Transport to the Caribbean: Climate Change Implications (Science)
  8. Combined use of satellite and surface observations to infer the imaginary part of refractive index of Saharan dust
  9. Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations
  10. Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network

Their papers