Alexander V. Ryzhkov

Atmospheric Science · 2000–2019

A researcher in the Science corpus: 11 papers; trusts 18 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander V. Ryzhkov trusts overall

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

  1. Alexander Khain
  2. Jerry M. Straka
  3. HyangSuk Park
  4. Venkatachalam Chandrasekar
  5. Jason A. Milbrandt
  6. Dusan S. Zrnic
  7. Andrei Pokrovsky
  8. Mark Pinsky
  9. Matthew R. Kumjian
  10. M. Yau

Who trusts Alexander V. Ryzhkov overall

  1. Matthew R. Kumjian
  2. HyangSuk Park
  3. Dusan S. Zrnic
  4. Brenda Dolan
  5. Qing Cao
  6. Alexander Khain
  7. S. Rutledge
  8. W. Deierling
  9. Guifu Zhang
  10. Kyung-Eak Kim

Papers from Alexander V. Ryzhkov's perspective

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

  1. A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter
  2. Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification
  3. Polarimetric Doppler weather radar: principles and applications
  4. Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas
  5. Polarimetric Signatures in Supercell Thunderstorms
  6. The Hydrometeor Classification Algorithm for the Polarimetric WSR-88D: Description and Application to an MCS
  7. A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description
  8. 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))
  9. The Need to Represent Raindrop Size Spectra as Normalized Gamma Distributions for the Interpretation of Polarization Radar Observations
  10. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments

Their papers