Edward Brandes

Atmospheric Science · 2000–2010

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Brandes trusts overall

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

  1. Guifu Zhang
  2. Jothiram Vivekanandan
  3. Viswanathan N. Bringi
  4. Eugenio Gorgucci
  5. Anthony Illingworth
  6. Daniel Rosenfeld
  7. Venkatachalam Chandrasekar
  8. Gwo-Jong Huang
  9. Martin Hagen
  10. Carl W. Ulbrich

Who trusts Edward Brandes overall

  1. Guifu Zhang
  2. Matthew R. Kumjian
  3. Qing Cao
  4. Juanzhen Sun
  5. Youngsun Jung
  6. A. Seifert
  7. Olivier P. Prat
  8. Jothiram Vivekanandan
  9. C. Bishop
  10. Carl W. Ulbrich

Papers from Edward Brandes's perspective

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

  1. Polarimetric Doppler weather radar: principles and applications
  2. A method for estimating rain rate and drop size distribution from polarimetric radar measurements (IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120))
  3. A Methodology for Estimating the Parameters of a Gamma Raindrop Size Distribution Model from Polarimetric Radar Data: Application to a Squall-Line Event from the TRMM/Brazil Campaign
  4. Estimation of Raindrop Size Distribution Parameters from Polarimetric Radar Measurements
  5. Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas
  6. The Need to Represent Raindrop Size Spectra as Normalized Gamma Distributions for the Interpretation of Polarization Radar Observations
  7. What is a Raindrop Size Distribution
  8. Cloud Microphysical Properties, Processes, and Rainfall Estimation Opportunities
  9. The Bias and Error in Moment Estimators for Parameters of Drop Size Distribution Functions: Sampling from Gamma Distributions
  10. A double-moment parameterization for simulating autoconversion, accretion and selfcollection

Their papers