Using ground-based lidar data to investigate the water–vapor budget in the daytime atmospheric boundary layer

Lange, Diego; Behrendt, Andreas; Senff, Christoph; Wagner, Timothy J.; Späth, Florian; Wulfmeyer, Volker

doi:10.1007/s42865-025-00110-4

i

Using ground-based lidar data to investigate the water–vapor budget in the daytime atmospheric boundary layer

2025
By Lange, Diego ; Behrendt, Andreas ; Senff, Christoph ; ...

Details

Journal Title:

Bulletin of Atmospheric Science and Technology
Personal Author:

Lange, Diego ; Behrendt, Andreas ; Senff, Christoph ; Wagner, Timothy J. ; Späth, Florian ; Wulfmeyer, Volker
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CSL (Chemical Sciences Laboratory)
Description:

The moisture advection term in the water–vapor budget equation is investigated with a combination of a vertically-staring water–vapor lidar and Doppler lidar systems. These instruments make it possible to get the mean profile of moisture tendency and the latent heat flux (LHF) divergence. We use data of the Land–Atmosphere Feedback Experiment (LAFE) at the Atmospheric Radiation Measurement (ARM) Program’s Southern Great Plains (SGP) site, Oklahoma, USA, collected on 30 August 2017 between 15 and 24 UTC, which corresponds to 09 to 18 LT. The lidars provide turbulence resolving profiles of moisture and vertical wind fluctuations. The LHF profile is derived from the covariance of these moisture and vertical wind fluctuations. The mean boundary layer height zi is determined from the peak of the moisture variance. The results demonstrate that the combination of two remote sensing instruments can be applied for determining the dominant water–vapor budget terms, namely moisture tendency, latent heat flux divergence and moisture advection.
Source:

Bulletin of Atmospheric Science and Technology, 6(1)
DOI:

https://doi.org/10.1007/s42865-025-00110-4
ISSN:

2662-1495 ; 2662-1509
Format:

pdf
Publisher:

Springer Science and Business Media LLC
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:a5b266abefe1d9a9360c0a51438d43aaf0ec545a5ab23f7eebfc4d2c2fb8908e263596874b56e320cb0ef5de15c3b78033cccdefffecfbf4c9a1bf53eca167f8
Download URL:

https://repository.library.noaa.gov/view/noaa/71512/noaa_71512_DS1.pdf
File Type:

[PDF - 1.54 MB ]

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