Zhiquan Liu
Atmospheric Science · 2002–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 56 citations into it; #1,170 of 4,804 by trust here, #2,621 by citations
- Global and Planetary Change — 52 citations into it; #2,368 of 10,225 by trust here, #5,940 by citations
- Environmental Engineering — 15 citations into it; #1,463 of 5,479 by trust here, #2,691 by citations
Whom Zhiquan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zhiquan Liu overall
- Frédéric Chevallier
- Ryan Torn
- Chengsi Liu
- Niels Bormann
- Gregory J. Hakim
- S. Rainwater
- Q. Xiao
- L. Stewart
- Peter R. Oke
- Sarah L. Dance
Papers from Zhiquan Liu's perspective
Ordered by how strongly the researchers Zhiquan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- The Kain–Fritsch Convective Parameterization: An Update
- The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)
- A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing
- Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models
- Impact of the Digital Filter as a Weak Constraint in the Preoperational 4DVAR Assimilation System of Météo-France
- Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
- A Simple, Efficient Solution of Flux–Profile Relationships in the Atmospheric Surface Layer
- A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
- Conservative Split-Explicit Time Integration Methods for the Compressible Nonhydrostatic Equations
- Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis
Their papers
- A Description of the Advanced Research WRF Model Version 4 (2019) — 1,596 citations
- The potential of high‐density observations for numerical weather prediction: A study with simulated observations (2003) — 134 citations
- The interaction between model resolution, observation resolution and observation density in data assimilation: A one‐dimensional study (2002) — 195 citations