Ming Zhao

Atmospheric Science · with Lin · 2006–2019

A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 186 citations into it; #2,417 of 4,804 by trust here, #521 by citations
• Global and Planetary Change — 177 citations into it; #4,910 of 10,225 by trust here, #1,363 by citations
• Computational Mechanics — 7 citations into it

Whom Ming Zhao trusts overall

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

1. Chris Bretherton
2. Shian‐Jiann Lin
3. Sandrine Bony
4. Brian J. Soden
5. Adrian M. Tompkins
6. William M. Putman
7. I. Held
8. B. Mapes
9. J. Dufresne
10. P. Bechtold

Who trusts Ming Zhao overall

1. Kerry A. Emanuel
2. L. Harris
3. Mingde Zhao
4. J. Golaz
5. I. Held
6. Shian‐Jiann Lin
7. Gabriel Vecchi

Papers from Ming Zhao's perspective

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

1. On dynamic and thermodynamic components of cloud changes
2. Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models
3. On the Use of Cloud Forcing to Estimate Cloud Feedback
4. Organization of Tropical Convection in Low Vertical Wind Shears: The Role of Water Vapor
5. Cloud Feedbacks in the Climate System: A Critical Review
6. How Well Do We Understand and Evaluate Climate Change Feedback Processes
7. A New Boundary Layer Mixing Scheme. Part I: Scheme Description and Single-Column Model Tests
8. THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
9. Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models
10. An Assessment of Climate Feedbacks in Coupled Ocean–Atmosphere Models

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: 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
• CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models (2013) — 144 citations
• The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3 (2011) — 996 citations
• Tropical and Subtropical Cloud Transitions in Weather and Climate Prediction Models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI) (2011) — 146 citations
• Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50-km resolution GCM. (2009) — 706 citations
• A comparison of low-latitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity (2006) — 136 citations