- AutorIn
- Luise Wanner Karlsruhe Institute of Technology, Atmospheric Environmental Research, Institute of Meteorology and Climate Research#Technische Universität Dresden, Institute of Hydrology and Meteorology
- Marc CalafUniversity of Utah, Department of Mechanical Engineering
- Matthias MauderKarlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research#Technische Universität Dresden, Institute of Hydrology and Meteorology#Karlsruhe Institute of Technology, Institute of Geography and Geoecology
- Titel
- Incorporating the effect of heterogeneous surface heating into a semi-empirical model of the surface energy balance closure
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-898948
- Quellenangabe
- PLOS ONE
Erscheinungsjahr: 2022
E-ISSN: 1932-6203 - Erstveröffentlichung
- 2022
- Abstract (EN)
- It was discovered several decades ago that eddy covariance measurements systematically underestimate sensible and latent heat fluxes, creating an imbalance in the surface energy budget. Since then, many studies have addressed this problem and proposed a variety of solutions to the problem, including improvements to instruments and correction methods applied during data postprocessing. However, none of these measures have led to the complete closure of the energy balance gap. The leading hypothesis is that not only surface-attached turbulent eddies but also sub-mesoscale atmospheric circulations contribute to the transport of energy in the atmospheric boundary layer, and the contribution from organized motions has been grossly neglected. The problem arises because the transport of energy through these secondary circulations cannot be captured by the standard eddy covariance method given the relatively short averaging periods of time (~30 minutes) used to compute statistics. There are various approaches to adjust the measured heat fluxes by attributing the missing energy to the sensible and latent heat flux in different proportions. However, few correction methods are based on the processes causing the energy balance gap. Several studies have shown that the magnitude of the energy balance gap depends on the atmospheric stability and the heterogeneity scale of the landscape around the measurement site. Based on this, the energy balance gap within the surface layer has already been modelled as a function of a nonlocal atmospheric stability parameter by performing a large-eddy simulation study with idealized homogeneous surfaces. We have further developed this approach by including thermal surface heterogeneity in addition to atmospheric stability in the parameterization. Specifically, we incorporated a thermal heterogeneity parameter that was shown to relate to the magnitude of the energy balance gap. For this purpose, we use a Large-Eddy Simulation dataset of 28 simulations with seven different atmospheric conditions and three heterogeneous surfaces with different heterogeneity scales as well as one homogeneous surface. The newly developed model captures very well the variability in the magnitude of the energy balance gap under different conditions. The model covers a wide range of both atmospheric stabilities and landscape heterogeneity scales and is well suited for application to eddy covariance measurements since all necessary information can be modelled or obtained from a few additional measurements.
- Andere Ausgabe
- Link zum Artikel der zuerst in der Zeitschrift 'PLOS One' bei Public Library of Science erschienen ist.
DOI: 10.1371/journal.pone.0268097 - Freie Schlagwörter (DE)
- Atmosphärische Schichten, Oberflächentemperatur, Wind, Atmosphärische Zirkulation, Kovarianz, Simulation und Modellierung, Thermische Stabilität, Latente Wärme
- Freie Schlagwörter (EN)
- Atmospheric layers, Surface temperature, Wind, Atmospheric circulation, Covariance, Simulation and modeling, Thermal stability, Latent heat
- Klassifikation (DDC)
- 500
- 610
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft (DFG)
Deutscher Beitrag zu „Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors“
(CHEESEHEAD)
ID: 406980118 - MICMoR Research School of KIT
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-898948
- Veröffentlichungsdatum Qucosa
- 01.03.2024
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0