Doppler Lidar Estimation of Mixing Height Using Turbulence, Shear, and Aerosol Profiles

By S. Tucker, C. Senff, A. Weickmann, W. A. Brewer, R. Banta, S. Sandberg, D. Law, R. Michael Hardesty. 2009

224 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f945bd0e4981f729680e3bc08b738835091cf5f6

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

1. A. Sathe
2. J. Golaz
3. B. Medeiros
4. Jakob Mann
5. D. Seidel
6. Anton Beljaars
7. Andrew Gettelman
8. V. Larson

In Global and Planetary Change

1. A. Sathe
2. J. Golaz
3. B. Medeiros
4. Jakob Mann
5. D. Seidel
6. Anton Beljaars
7. Andrew Gettelman
8. V. Larson

Citations in the corpus

• A review of turbulence measurements using ground-based wind lidars (2013, background): “von Kármán(1948) isotropic spectral tensor model ( Frehlich and Cornman , 2002), or a more realistic anisotropicMann (1994) spectral tensor instead of the empirical Kaimal et al.”
• Climatology of the planetary boundary layer over the continental United States and Europe (2012, background): “…new data sources, including observations by ceilometer [Eresmaa et al., 2006; van der Kamp and McKendry, 2010], lidar [Hennemuth and Lammert, 2006; Tucker et al., 2009], wind-profiling and boundary layer radar [Angevine et al., 1994; Bianco and Wilczak, 2002] and sodar [Beyrich, 1997;…”