Leo Donner

Atmospheric Science · 2000–2019

A researcher in the Science corpus: 14 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 256 citations into it; #2,148 of 4,804 by trust here, #158 by citations
• Global and Planetary Change — 253 citations into it; #4,295 of 10,225 by trust here, #646 by citations
• Earth-Surface Processes — 12 citations into it; #533 of 722 by trust here, #573 by citations
• Environmental Engineering — 7 citations into it

Whom Leo Donner trusts overall

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

1. Hugh Morrison
2. Alexander Khain
3. A. Nenes
4. Andrew J. Heymsfield
5. V. Phillips
6. S. Saleeby
7. Song‐You Hong
8. Andrei Pokrovsky
9. C. Fountoukis

Who trusts Leo Donner overall

1. Alexander Khain
2. Hugh Morrison
3. Seoung-Soo Lee
4. V. Phillips

Papers from Leo Donner's perspective

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

1. A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus
2. The impact of humidity above stratiform clouds on indirect aerosol climate forcing (Nature)
3. Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description and possible applications
4. Nucleation processes in deep convection simulated by a cloud-system-resolving model with double-moment bulk microphysics
5. Comparison of Bulk and Bin Warm-Rain Microphysics Models Using a Kinematic Framework
6. 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…
7. Cloud Feedbacks in the Climate System: A Critical Review
8. Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part II : Sensitivity study
9. Entrainment and detrainment in cumulus convection: an overview
10. Aerosol invigoration and restructuring of Atlantic convective clouds

Their papers

• Structure and Performance of GFDL's CM4.0 Climate Model (2019) — 427 citations
• The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs (2018) — 244 citations
• The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018) — 295 citations
• Uncertainty in Model Climate Sensitivity Traced to Representations of Cumulus Precipitation Microphysics (2016) — 141 citations
• Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations (2012) — 355 citations
• An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data (2012) — 196 citations
• Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data (2009) — 445 citations
• MJO Simulation Diagnostics (2009) — 320 citations
• The dependence of aerosol effects on clouds and precipitation on cloud‐system organization, shear and stability (2008) — 171 citations
• Nucleation processes in deep convection simulated by a cloud-system-resolving model with double-moment bulk microphysics (2007) — 197 citations
• Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models. Part I: Convective Signals (2006) — 796 citations
• A New Parameterization of Cloud Droplet Activation Applicable to General Circulation Models (2006) — 152 citations
• An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data (2002) — 208 citations
• A gcss model intercomparison for a tropical squall line observed during toga‐coare. I: Cloud‐resolving models (2000) — 135 citations