Comparison of AIRS, MODIS, CloudSat and CALIPSO cloud top height retrievals

By E. Weisz, Jun Li, W. Paul Menzel, Andrew K. Heidinger, B. Kahn, Chian‐Yi Liu. 2007

135 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f9dc83d7aca4302a0b77e8d6698e9d80b0720334

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. W. Paul Menzel
2. Timothy J. Schmit
3. Peng Zhang
4. Jun Li

In Global and Planetary Change

1. W. Paul Menzel
2. Timothy J. Schmit
3. Peng Zhang
4. Jun Li

Citations in the corpus

• Satellite-Based Atmospheric Infrared Sounder Development and Applications (2017, methodology): “…parameters lack precision in thick clouds [cloud optical thickness (COT) > 10] and especially thin clouds (COT < 0.1) since IR observations have the largest sensitivity to the variations in clouds when the optical depth is between 0.4 and 4 (Huang et al. 2004; Li et al. 2005b; Weisz et al. 2007).”