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Cloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat
- Source :
- Journal of Atmospheric and Oceanic Technology. 34:567-583
- Publication Year :
- 2017
- Publisher :
- American Meteorological Society, 2017.
-
Abstract
- The operational VIIRS cloud-base height (CBH) product from the Suomi–National Polar-Orbiting Partnership (SNPP) satellite is compared against observations of CBH from the cloud profiling radar (CPR) on board CloudSat. Because of the orbits of SNPP and CloudSat, these instruments provide nearly simultaneous observations of the same locations on Earth for a ~4.5-h period every 2–3 days. The methodology by which VIIRS and CloudSat observations are spatially and temporally matched is outlined. Based on four 1-month evaluation periods representing each season from June 2014 to April 2015, statistics related to the VIIRS CBH retrieval performance have been collected. Results indicate that when compared against CloudSat, the VIIRS CBH retrieval does not meet the error specifications set by the Joint Polar Satellite System (JPSS) program, with a root-mean-square error (RMSE) of 3.7 km for all clouds globally. More than half of all matching VIIRS pixels and CloudSat profiles have CBH errors exceeding the 2-km error requirement. Underscoring the significance of these statistics, it is shown that a simple estimate based on a constant cloud geometric thickness of 2 km outperforms the current operational CBH algorithm. It was found that the performance of the CBH product is impacted by the accuracy of upstream retrievals [primarily cloud-top height (CTH)] and the a priori information used by the CBH retrieval algorithm. However, even when CTH errors were small, CBH errors still exceed the JPSS program error specifications with an RMSE of 2.3 km.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Mean squared error
Meteorology
Pixel
Cloud base height
0211 other engineering and technologies
Ocean Engineering
Satellite system
02 engineering and technology
01 natural sciences
law.invention
On board
Error analysis
law
Environmental science
Satellite
Radar
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 15200426 and 07390572
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of Atmospheric and Oceanic Technology
- Accession number :
- edsair.doi...........0e01aac98754e506b59b48e5c4129d9b
- Full Text :
- https://doi.org/10.1175/jtech-d-16-0109.1