Surface flux estimates derived from UAS-based carbon dioxide mole fraction measurements by means of a nocturnal boundary layer budget approach - measurement data, model output and analysis scripts

DOI

This collection contains data obtained with an unmanned aircraft equipped with an analyser measuring carbon dioxide dry air mole fraction, ambient temperature, humidity and pressure. Measurement flights were carried out as part of the ScaleX 2016 campaign in southern Germany (47.833 °N, 11.060 °E, WGS84) in July 2016. Evan Flatt, Richard H. Grant (both at Purdue University, West Lafayette, IN, USA), Martin Kunz and Jost V. Lavric (both at Max Planck Institute for Biogeochemistry, Jena, Germany) have contributed to these measurements. Furthermore, this collection contains output of the STILT (Stochastic Time-Inverted Lagrangian Transport) model, which was run on the basis of meteorological data from the ECMWF IFS (European Centre for Medium-Range Weather Forecasts Integrated Forecast System). Christoph Gerbig (Max Planck Institute for Biogeochemistry, Jena, Germany) and Frank-Thomas Koch (Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeissenberg, Germany) contributed this data. Finally, this collection also contains all necessary scripts to obtain estimates of surface flux from the aforementioned data by means of a nocturnal boundary layer budget approach. Author information is included in the script files. Instructions on how to run these scripts are give in the file "readme.txt".

Identifier
DOI https://doi.org/10.17617/3.2c
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.2c
Provenance
Creator Kunz, Martin
Publisher Edmond
Publication Year 2019
OpenAccess true
Contact mkunz(at)bgc-jena.mpg.de
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other