Atmospheric boundary layer dynamics from balloon  soundings worldwide: CLASS4GL v1.0

Wouters, Hendrik; Petrova, Irina Y.; van Heerwaarden, Chiel C.; Vilà-Guerau de Arellano, Jordi; Teuling, Adriaan J.; Meulenberg, Vicky; Santanello, Joseph A.; Miralles, Diego G.

doi:https://doi.org/10.5194/gmd-12-2139-2019

Articles | Volume 12, issue 5

https://doi.org/10.5194/gmd-12-2139-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-2139-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 5

Model description paper

|

29 May 2019

Model description paper |

| 29 May 2019

Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0

Hendrik Wouters, Irina Y. Petrova, Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Adriaan J. Teuling, Vicky Meulenberg, Joseph A. Santanello, and Diego G. Miralles

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Final revised paper (published on 29 May 2019)
Preprint (discussion started on 06 Mar 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'On the CLASS4GL v1.0 model description paper', Anonymous Referee #1, 04 Apr 2019
- AC1: 'reply to the referee's comments', Hendrik Wouters, 23 Apr 2019
RC2: 'Requested review', Anonymous Referee #2, 05 Apr 2019
- AC2: 'reply to the referee's comments', Hendrik Wouters, 23 Apr 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Hendrik Wouters on behalf of the Authors (05 May 2019) Author's response Manuscript

ED: Publish as is (17 May 2019) by David Topping

AR by Hendrik Wouters on behalf of the Authors (18 May 2019) Manuscript

Short summary

The free software CLASS4GL (http://class4gl.eu) is designed to investigate the dynamic atmospheric boundary layer (ABL) with weather balloons. It mines observational data from global radio soundings, satellite and reanalysis data from the last 40 years to constrain and initialize an ABL model and automizes multiple experiments in parallel. CLASS4GL aims at fostering a better understanding of land–atmosphere feedbacks and the drivers of extreme weather.