Estimating the storage term in eddy covariance measurements: the ICOS methodology
Andrew Kowalski 4, 5
,  
Lutz Merbold 7, 8
,  
Stefan Metzger 9, 10
,  
Pavel Sedlák 11, 12
,  
 
 
More details
Hide details
1
Faculty of Science and Technology, Free University of Bolzano, Piazza Università 1, 39100 Bolzano, Italy
2
Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100 Bolzano, Italy
3
Technical University Dresden, Institute of Hydrology and Meteorology, Tharandt, Germany
4
Department of Applied Physics of the University of Granada, Granada, 18071, Spain
5
Andalusian Centre for Environmental Research (CEAMA-IISTA), Granada, 18071, Spain
6
Department of Physics, University of Helsinki, Helsinki, P.O. Box 68, 00014, Finland
7
Mazingira Centre, International Livestock Research Institute (ILRI), P.O. Box 30709, 00100, Nairobi, Kenya
8
Department of Environmental System Sciences, Institute of Agricultural Sciences, ETH Zurich, Universitaetsstrasse 2, 8092 Zurich, Switzerland
9
National Ecological Observatory Network, Battelle, 1685 38th Street, CO 80301 Boulder, USA
10
Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA
11
Institute of Atmospheric Physics CAS, Bocni II 1401, 14131 Praha 4, Czech Republic
12
Department of Matter and Energy Fluxes, Global Change Research Institute, CAS, Bělidla 986/4a, 603 00 Brno, Czech Republic
13
University of Goettingen, Bioclimatology, Büsgenweg 2, 37077 Göttingen, Germany
Publish date: 2018-11-19
 
Int. Agrophys. 2018, 32(4): 551–567
KEYWORDS:
ABSTRACT:
In eddy covariance measurements, the storage flux represents the variation in time of the dry molar fraction of a given gas in the control volume representative of turbulent flux. Depending on the time scale considered, and on the height above ground of the measurements, it can either be a major component of the overall net ecosystem exchange or nearly negligible. Instrumental configuration and computational procedures must be optimized to measure this change at the time step used for the turbulent flux measurement. Three different configurations are suitable within the Integrated Carbon Observation System infrastructure for the storage flux determination: separate sampling, subsequent sampling and mixed sampling. These configurations have their own advantages and disadvantages, and must be carefully selected based on the specific features of the considered station. In this paper, guidelines about number and distribution of vertical and horizontal sampling points are given. Details about suitable instruments, sampling devices, and computational procedures for the quantification of the storage flux of different GHG gases are also provided.
eISSN:2300-8725
ISSN:0236-8722