Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements

The observing system design of multidisciplinary field measurements involves a variety of considerations on logistics, safety, and science objectives. Typically, this is done based on investigator intuition and designs of prior field measurements. However, there is potential for considerable increas...

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Bibliographic Details
Published in:Atmospheric measurement techniques 2021-11, Vol.14 (11), p.6929-6954
Main Authors: Metzger, Stefan, Durden, David, Paleri, Sreenath, Sühring, Matthias, Butterworth, Brian J, Florian, Christopher, Mauder, Matthias, Plummer, David M, Wanner, Luise, Xu, Ke, Desai, Ankur R
Format: Article
Language:English
Subjects:
Air quality
Aircraft
Analysis
Atmosphere
Atmospheric boundary layer
Boreal ecosystems
Case studies
Clouds
Data assimilation
Design
Detectors
Eddy covariance
Emission inventories
Energy balance
Experiments
Fluctuations
Knowledge
Large eddy simulation
Large eddy simulations
Leak detection
Logistics
Low altitude
Mathematical models
Meteorological conditions
Meteorology
Numerical analysis
Numerical simulations
Objectives
Optimization
Outdoor air quality
Remote sensing
Response functions
Safety
Satellite observation
Satellites
Science
Simulation
Systems design
Urban air
Urban air quality
Vortices
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Summary:The observing system design of multidisciplinary field measurements involves a variety of considerations on logistics, safety, and science objectives. Typically, this is done based on investigator intuition and designs of prior field measurements. However, there is potential for considerable increases in efficiency, safety, and scientific success by integrating numerical simulations in the design process. Here, we present a novel numerical simulation-environmental response function (NS-ERF) approach to observing system simulation experiments that aids surface-atmosphere synthesis at the interface of mesoscale and microscale meteorology. In a case study we demonstrate application of the NS-ERF approach to optimize the Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors 2019 (CHEESEHEAD19).
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-14-6929-2021