Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP
By R. Holz, Steven A. Ackerman, Fred W. Nagle, R. Frey, S. Dutcher, R. Kuehn, Mark A. Vaughan, Bryan A. Baum. 2008
283 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/479051dbaa16444b547d17a1d376cba1e63a86ad
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
- Mark A. Vaughan
- D. Winker
- Kathleen Powell
- Chris A. Hostetler
- Zhaoyan Liu
- Tristan L'Ecuyer
- W. Hunt
- R. Kuehn
In Global and Planetary Change
- Mark A. Vaughan
- D. Winker
- Kathleen Powell
- Chris A. Hostetler
- W. Hunt
- Zhaoyan Liu
- Tristan L'Ecuyer
- R. Kuehn
Citations in the corpus
- A Multisensor Perspective on the Radiative Impacts of Clouds and Aerosols (2013, background): “New cloud boundary information from these sensors offers the potential to dramatically reduce errors in cloud boundaries that can reach 1 km or more (e.g., Holz et al. 2008; Menzel et al. 2008; Naud et al. 2005).”
- Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites (2013, background): “improves when referenced to that portion of the cloud where the optical depth is unity [30].”
- Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements (2009, methodology): “Recent comparisons of CALIOP data to collocated cloud-top heights derived from measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS; Platnick et al. 2003) show that MODIS underestimates cloud-top height by ; 2.5 km (Holz et al. 2008).”