A multi-instrument fuzzy logic boundary-layer-top detection algorithm

Smith, Elizabeth N.; Carlin, Jacob T.

doi:https://doi.org/10.5194/amt-17-4087-2024

Articles | Volume 17, issue 13

https://doi.org/10.5194/amt-17-4087-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-4087-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 13

Research article

|

11 Jul 2024

Research article |

| 11 Jul 2024

A multi-instrument fuzzy logic boundary-layer-top detection algorithm

Elizabeth N. Smith and Jacob T. Carlin

Data sets

CLAMPS NWC/RIL Observations Petra Klein et al. https://doi.org/10.5281/zenodo.12636990

CHEESEHEAD CLAMPS observations Elizabeth Smith et al. https://doi.org/10.5281/zenodo.12636936

PBLTops CLAMPS observations Elizabeth Smith et al. https://doi.org/10.5281/zenodo.12636930

Model code and software

bliss-fl-v1.0.0 Elizabeth Smith https://doi.org/10.5281/zenodo.12641260

Video abstract

A multi-instrument fuzzy logic boundary-layer top detection algorithm Elizabeth Smith and Jacob Carlin https://doi.org/10.5446/68159

Short summary

Boundary-layer height observations remain sparse in time and space. In this study we create a new fuzzy logic method for synergistically combining boundary-layer height estimates from a suite of instruments. These estimates generally compare well to those from radiosondes; plus, the approach offers near-continuous estimates through the entire diurnal cycle. Suspected reasons for discrepancies are discussed. The code for the newly presented fuzzy logic method is provided for the community to use.