Jason A. Milbrandt

Global and Planetary Change · 2005–2020

A researcher in the Science corpus: 9 papers; trusts 38 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Jason A. Milbrandt trusts overall

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

  1. Hugh Morrison
  2. A. Seifert
  3. M. Khairoutdinov
  4. William C. Skamarock
  5. M. Gilmore
  6. Wojciech W. Grabowski
  7. Alexander Khain
  8. George H. Bryan
  9. M. Yau
  10. D. Dawson

Who trusts Jason A. Milbrandt overall

  1. Hugh Morrison
  2. Jiwen Fan
  3. E. Mansell
  4. Alexander V. Ryzhkov
  5. Alexander Khain
  6. Matthew R. Kumjian
  7. D. Dawson
  8. M. van Lier‐Walqui
  9. George H. Bryan
  10. A. Seifert

Papers from Jason A. Milbrandt's perspective

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

  1. Resolution Requirements for the Simulation of Deep Moist Convection
  2. A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus
  3. A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter
  4. The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)
  5. The impact of humidity above stratiform clouds on indirect aerosol climate forcing (Nature)
  6. A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation
  7. A Large-Droplet Mode and Prognostic Number Concentration of Cloud Droplets in the Colorado State University Regional Atmospheric Modeling System (RAMS). Part I: Module Descriptions and Supercell…
  8. A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results
  9. Comparison of Bulk and Bin Warm-Rain Microphysics Models Using a Kinematic Framework
  10. On the Parameterization of Evaporation of Raindrops as Simulated by a One-Dimensional Rainshaft Model

Their papers