Claire Parkinson

Atmospheric Science · 2003–2009

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Claire Parkinson trusts overall

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

  1. Josefino C. Comiso
  2. Larrabee L. Strow
  3. C. Barnet
  4. Donald J. Cavalieri
  5. Scott E. Hannon
  6. Thorsten Markus
  7. Steven Platnick
  8. M. Taylor

Who trusts Claire Parkinson overall

  1. Lars Hoffmann
  2. M. Alexander
  3. Baijun Tian
  4. Xianghui Xue
  5. Duane Waliser
  6. Ian Stirling
  7. Mark Z. Jacobson
  8. Eric J. Fetzer
  9. G. Thiemann
  10. Matthew J. McGill

Papers from Claire Parkinson's perspective

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

  1. Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds (IEEE Transactions on Geoscience and Remote Sensing)
  2. An overview of the AIRS radiative transfer model (IEEE Transactions on Geoscience and Remote Sensing)
  3. Delineating Canadian and Greenland polar bear (Ursus maritimus) populations by cluster analysis of movements
  4. The MODIS cloud products: algorithms and examples from Terra (IEEE Transactions on Geoscience and Remote Sensing)
  5. AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems (IEEE Transactions on Geoscience and Remote Sensing)
  6. A prototype AMSR-E global snow area and snow depth algorithm (IEEE Transactions on Geoscience and Remote Sensing)
  7. Satellite-Observed Changes in the Arctic
  8. CLIMATE CHANGE AND RINGED SEAL (PHOCA HISPIDA) RECRUITMENT IN WESTERN HUDSON BAY
  9. The Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), NASDA's contribution to the EOS for global energy and water cycle studies (IEEE Transactions on Geoscience and Remote Sensing)
  10. Sea ice concentration, ice temperature, and snow depth using AMSR-E data (IEEE Transactions on Geoscience and Remote Sensing)

Their papers