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Title: Four Years of Atmospheric Boundary Layer Height Retrievals Using COSMIC-2 Satellite Data

Journal Article · · Remote Sensing
DOI: https://doi.org/10.3390/rs16091632 · OSTI ID:2367316
 [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [2]; ORCiD logo [3]
  1. Andalusian Inter-University Institute for Earth System Research (IISTA-CEAMA), Granada (Spain); Univ. of Murcia (Spain)
  2. University of Évora (Portugal). Institute of Earth Sciences (ICT) and Earth Remote Sensing Laboratory (EaRSLab)
  3. Andalusian Inter-University Institute for Earth System Research (IISTA-CEAMA), Granada (Spain); Univ. of Granada (Spain)

This work aimed to study the atmospheric boundary layer height (ABLH) from COSMIC-2 refractivity data, endeavoring to refine existing ABLH detection algorithms and scrutinize the resulting spatial and seasonal distributions. Through validation analyses involving different ground-based methodologies (involving data from lidar, ceilometer, microwave radiometers, and radiosondes), the optimal ABLH determination relied on identifying the lowest refractivity gradient negative peak with a magnitude at least $$τ$$% times the minimum refractivity gradient magnitude, where $$τ$$ is a fitting parameter representing the minimum peak strength relative to the absolute minimum refractivity gradient. Different $$τ$$ values were derived accounting for the moment of the day (daytime, nighttime, or sunrise/sunset) and the underlying surface (land or sea). Results show discernible relations between ABLH and various features, notably, the land cover and latitude. On average, ABLH is higher over oceans (≈1.5 km), but extreme values (maximums > 2.5 km, and minimums < 1 km) are reached over intertropical lands. Variability is generally subtle over oceans, whereas seasonality and daily evolution are pronounced over continents, with higher ABLHs during daytime and local wintertime (summertime) in intertropical (middle) latitudes.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS)
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
2367316
Journal Information:
Remote Sensing, Journal Name: Remote Sensing Journal Issue: 9 Vol. 16; ISSN 2072-4292
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

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