Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis
By D. Seidel, Chi O. Ao, Kun Li. 2010
590 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/8467c3e88871551d059cdb2d4e3401be194d1f49
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
- Axel Von Engeln
- João Paulo Ramos Teixeira
- Anton Beljaars
- C. Deser
- J. Golaz
- B. Medeiros
- Duane Waliser
- Baijun Tian
In Global and Planetary Change
- Axel Von Engeln
- João Paulo Ramos Teixeira
- Anton Beljaars
- C. Deser
- J. Golaz
- B. Medeiros
- Duane Waliser
- Baijun Tian
Citations in the corpus
- Climatology of the planetary boundary layer over the continental United States and Europe (2012, methodology): “An earlier analysis [Seidel et al., 2010] demonstrated that climatological heights based on Ri and the parcel method were substantially (several 100 m) lower than heights of elevated inversions or on maximum humidity, temperature, or potential temperature gradients, and they showed greater diurnal…”
- Climatological Characteristics of Arctic and Antarctic Surface-Based Inversions* (2011, background): “Seidel et al. (2010) found that only 13% of soundings in a global (505 station) analysis of 10 years of radiosonde data showed neither SBI nor elevated inversions at or below 500 hPa.”
- Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles (2012, background): “These quantities all tend to decrease with height across the PBL top; therefore, a useful definition is to consider the PBL top to be where the minimum vertical gradient (or maximum lapse rate) occurs [Ao et al., 2008; Basha and Ratnam, 2009; Seidel et al., 2010; Xie et al., 2012].”
- A Planetary Boundary Layer Height Climatology Derived from ECMWF Reanalysis Data (2013, methodology): “The quality of the ERA-Interim reanalysis fields was already shown in Simmons et al. (2010) in an analysis of low-frequency variations in surface atmospheric humidity, temperature, and precipitation.”