The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis
Abstract
Planetary boundary layer (PBL) processes control energy, water, and pollutant exchanges between the surface and free atmosphere. However, there is no observation‐based global PBL climatology for evaluation of climate, weather, and air quality models or for characterizing PBL variability on large space and time scales. As groundwork for such a climatology, we compute PBL height by seven methods, using temperature, potential temperature, virtual potential temperature, relative humidity, specific humidity, and refractivity profiles from a 10 year, 505‐station radiosonde data set. Six methods are directly compared; they generally yield PBL height estimates that differ by several hundred meters. Relative humidity and potential temperature gradient methods consistently give higher PBL heights, whereas the parcel (or mixing height) method yields significantly lower heights that show larger and more consistent diurnal and seasonal variations (with lower nighttime and wintertime PBLs). Seasonal and diurnal patterns are sometimes associated with local climatological phenomena, such as nighttime radiation inversions, the trade inversion, and tropical convection and associated cloudiness. Surface‐based temperature inversions are a distinct type of PBL that is more common at night and in the morning than during midday and afternoon, in polar regions than in the tropics, and in winter than other seasons. PBL height estimates are sensitive to the vertical resolution of radiosonde data; standard sounding data yield higher PBL heights than high‐resolution data. Several sources of both parametric and structural uncertainty in climatological PBL height values are estimated statistically; each can introduce uncertainties of a few 100 m.
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Cites
An Introduction to Boundary Layer Meteorology
(1988) · Springer eBooks · doi:10.1007/978-94-009-3027-8 · Cited by 10,224
Oke, T. R. (2002) · Routledge eBooks · doi:10.4324/9780203407219 · Cited by 5,219
Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System
Kursinski, E. R., Hajj, G. A., Schofield, J. T., Linfield, R. P., & Hardy, K. R. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/97jd01569 · Cited by 1,430
The atmospheric boundary layer
King, J. C. (1993) · Dynamics of Atmospheres and Oceans · doi:10.1016/0377-0265(93)90006-s · Cited by 1,315
Review and intercomparison of operational methods for the determination of the mixing height
Seibert, P. (2000) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00349-0 · Cited by 1,066
Overview of the Integrated Global Radiosonde Archive
Durre, I., Vose, R. S., & Wuertz, D. B. (2006) · Journal of Climate · doi:10.1175/jcli3594.1 · Cited by 783
The Constants in the Equation for Atmospheric Refractive Index at Radio Frequencies
Smith, E., & Weintraub, S. (1953) · Proceedings of the IRE · doi:10.1109/jrproc.1953.274297 · Cited by 742
Climate Dynamics of the Tropics
Hastenrath, S. (1991) · Springer eBooks · doi:10.1007/978-94-011-3156-8 · Cited by 613
Structure of the atmospheric boundary layer
Sorbjan, Z. (1989) · Prentice Hall eBooks · Cited by 401
Mixing Depths, Wind Speeds and Air Pollution Potential for Selected Locations in the United States
Holzworth, G. C. (1967) · Journal of applied meteorology · Cited by 350
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Davy, R., Esau, I., Chernokulsky, A., Outten, S., & Zilitinkevich, S. (2017) · International Journal of Climatology · doi:10.1002/joc.4688 · Cited by 339
Jeanjean, A. P. R., Monks, P. S., & Leigh, R. J. (2016) · Atmospheric Environment · doi:10.1016/j.atmosenv.2016.09.033 · Cited by 256
Moist heat stress extremes in India enhanced by irrigation
Mishra, V., Ambika, A. K., Asoka, A., Aadhar, S., Buzan, J., Kumar, R., & Huber, M. (2020) · Nature Geoscience · doi:10.1038/s41561-020-00650-8 · Cited by 250
The Layered Structure of the Winter Atmospheric Boundary Layer in the Interior of Alaska
Mayfield, J. A., & Fochesatto, G. J. (2013) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-12-01.1 · Cited by 65
An observational study of radiation temperature inversions in Fairbanks, Alaska
Malingowski, J., Atkinson, D., Fochesatto, J., Cherry, J., & Stevens, E. (2014) · Polar Science · doi:10.1016/j.polar.2014.01.002 · Cited by 52
Metadata
- Authors
- Seidel, D. J., Ao, C. O., & Li, K.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2010-08-25
- Volume
- 115
- Issue
- D16
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2129801807
- Cited by
- 708
- References
- 15
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Seidel, D. J., Ao, C. O., & Li, K. (2010). Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2009jd013680
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