2014
DOI: 10.1007/s13143-014-0045-2
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of surface energy balance closure over heterogeneous surfaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
8
0
1

Year Published

2015
2015
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 14 publications
(12 citation statements)
references
References 36 publications
3
8
0
1
Order By: Relevance
“…For example, convective flux occurs when warm air ( > [T]) is rising ( > 0), or cool air ( < [T ]) is subsiding ( < 0) where is time-averaged temperature and [T ] is time-space-averaged temperature. The EBR at both sites showed seasonal variation with the highest value in summer and lowest in winter, which is consistent with previous studies (Wilson et al, 2002;Kim et al, 2014). Comparison of EBR between two sites shows higher EBR at G4 except for winter.…”
Section: Energy Balance Ratiosupporting
confidence: 91%
“…For example, convective flux occurs when warm air ( > [T]) is rising ( > 0), or cool air ( < [T ]) is subsiding ( < 0) where is time-averaged temperature and [T ] is time-space-averaged temperature. The EBR at both sites showed seasonal variation with the highest value in summer and lowest in winter, which is consistent with previous studies (Wilson et al, 2002;Kim et al, 2014). Comparison of EBR between two sites shows higher EBR at G4 except for winter.…”
Section: Energy Balance Ratiosupporting
confidence: 91%
“…The present study found an energy balance closure ratio of 0.91 and R 2 of 0.73. This result is consistent with the 70-90% closure observed across the globe (Barr, Morgenstern, Black, McCaughey, & Nesic, 2006;Foken, 2008;Kim, Lee, Kim, & Park, 2014;Wilson et al, 2002). Results show that the available energy was the bigger flux compared with sum of H and LE.…”
Section: Relationship Between Et and Environmental Variablessupporting
confidence: 90%
“…We used the flux footprint prediction online tool of a simple two-dimensional parameterization (Kljun et al, 2015, http://geography.swansea.ac.uk/nkljun/ ffp/www/, last access: 17 July 2018). The footprint parameterization uses the Lagrangian stochastic particle dispersion model (Kljun et al, 2002). As input parameters to the model, we used displacement height,…”
Section: Footprint Analyses and Micro-topographymentioning
confidence: 99%