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Intercomparison of Mixing Layer Heights from the National Weather Service Ceilometer Test Sites and Collocated Radiosondes
- Source :
- Journal of Atmospheric and Oceanic Technology. 36:129-137
- Publication Year :
- 2019
- Publisher :
- American Meteorological Society, 2019.
-
Abstract
- A network of automated weather stations (AWS) with ceilometers can be used to detect sky conditions, aerosol dispersion, and mixing layer heights, in addition to the routine surface meteorological parameters (temperature, pressure, humidity, etc.). Currently, a dense network of AWSs that observe all of these parameters does not exist in the United States even though networks of them with ceilometers exist. These networks normally use ceilometers for determining only sky conditions. Updating AWS networks to obtain those nonstandard observations with ceilometers, especially mixing layer height, across the United States would provide valuable information for validating and improving weather/climate forecast models. In this respect, an aerosol-based mixing layer height detection method, called the combined-hybrid method, is developed and evaluated for its uncertainty characteristics for application in the United States. Four years of ceilometer data from the National Weather Service Ceilometer Proof of Concept Project taken in temperate, maritime polar, and hot/arid climate regimes are utilized in this evaluation. Overall, the method proved to be a strong candidate for estimating mixing layer heights with ceilometer data, with averaged uncertainties of 237 ± 398 m in all tested climate regimes and 69 ± 250 m when excluding the hot/arid climate regime.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Meteorology
media_common.quotation_subject
Ocean Engineering
010501 environmental sciences
National weather service
01 natural sciences
Ceilometer
law.invention
13. Climate action
law
Sky
Radiosonde
Environmental science
Aerosol dispersion
Mixing (physics)
0105 earth and related environmental sciences
media_common
Subjects
Details
- ISSN :
- 15200426 and 07390572
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Journal of Atmospheric and Oceanic Technology
- Accession number :
- edsair.doi...........3440a2e4466ab895b48f53c3a9e50286