A Multi-Wavelength Mini Lidar for Measurements of Marine Boundary Layer Aerosol and Water Vapor Fields

2002 ◽  
Author(s):  
Shiv K. Sharma ◽  
Barry R. Lienert ◽  
John N. Porter
2001 ◽  
Author(s):  
Shiv K. Sharma ◽  
Barry R. Lienert ◽  
John N. Porter ◽  
Antony D. Clarke

1997 ◽  
Author(s):  
Shiv K. Sharma ◽  
Antony D. Clarke ◽  
John N. Porter ◽  
Barry R. Lienert

2021 ◽  
Author(s):  
Bjorn Stevens ◽  
Ilya Serikov ◽  
Anna Lea Albright ◽  
Sandrine Bony ◽  
Geet George ◽  
...  

<p>Cloud free skies are rare in the trades.  We analyze conditions in which cloud-free conditions prevail.  For this purpose Raman water vapor measurements from the Barbados Cloud Observatory, complemented by ship-based measurements during EUREC4A are used to explore water vapor variability in the marine boundary layer.   We explore the consistency of the inferred cloud base height with estimates of temperature and water vapor from the lidar signal, and examine the co-variability of these quantities.  After having established the properties of these measurements, we seek to use them as well as others, to explain in what ways periods of cloud-free conditions are maintained, investigating the hypothesis that only when the wind stills is it simply sunny.</p>


2018 ◽  
Vol 45 (5) ◽  
pp. 2524-2532 ◽  
Author(s):  
M. Benetti ◽  
J.‐L. Lacour ◽  
A. E. Sveinbjörnsdóttir ◽  
G. Aloisi ◽  
G. Reverdin ◽  
...  

2021 ◽  
Author(s):  
Stephen Leroy ◽  
Igor Polonsky ◽  
Alexandra Meredith ◽  
Kerri Cahoy ◽  
Lucy Halperin ◽  
...  

2016 ◽  
Vol 55 (1) ◽  
pp. 213-225 ◽  
Author(s):  
Luis Millán ◽  
M. Lebsock ◽  
E. Fishbein ◽  
P. Kalmus ◽  
J. Teixeira

AbstractThis study investigates the synergy of collocated microwave radiometry and near-infrared imagery to estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry provides the total column water vapor, while the near-infrared imagery provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor. In combining the two datasets, we apply several flags as well as proximity tests to remove pixels with high clouds and/or intrapixel heterogeneity. Comparisons against radiosonde and ECMWF reanalysis data demonstrate the robustness of these boundary layer water vapor estimates. Last, it is shown that the measured AMSR-MODIS boundary layer water vapor can be analyzed using sea surface temperature and cloud-top pressure information by employing simple equations based on the Clausius–Clapeyron relationship.


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