Jun Li
Atmospheric Science · with Bonazzola · 2011–2013
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 51 citations into it
- Global and Planetary Change — 49 citations into it
Whom Jun Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julien Delanoë
- Seiji Kato
- Robin J. Hogan
- Graeme L. Stephens
- Yuanchong Zhang
- H. Chepfer
- Fred G. Rose
- Juilin Li
- Norman G. Loeb
Papers from Jun Li's perspective
Ordered by how strongly the researchers Jun Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Cloud Feedbacks in the Climate System: A Critical Review
- Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data
- An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data
- Retrieval of ice cloud microphysical parameters using the CloudSat millimeter‐wave radar and temperature
- Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar
- A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer
- Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model
- Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties
- Combined CloudSat‐CALIPSO‐MODIS retrievals of the properties of ice clouds
- On dynamic and thermodynamic components of cloud changes
Their papers
- Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013) — 146 citations
- Tropical and Subtropical Cloud Transitions in Weather and Climate Prediction Models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI) (2011) — 146 citations