Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43916494" target="_blank" >RIV/62156489:43210/20:43916494 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/86652079:_____/19:00511514 RIV/86652079:_____/20:00540063

Výsledek na webu

<a href="https://doi.org/10.1007/s00704-019-02975-w" target="_blank" >https://doi.org/10.1007/s00704-019-02975-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00704-019-02975-w" target="_blank" >10.1007/s00704-019-02975-w</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling

Popis výsledku v původním jazyce

Accurate eddy covariance (EC) measurements require that the atmospheric and orographic conditions meet certain criteria. It is common that up to 60% of the original data must be rejected. In particular, a high percentage of data is often removed during nocturnal periods. Currently, the most widely used method for filling gaps in EC datasets is the tool developed at the Max Planck Institute for Biogeochemistry [as reported by Falge et al. (2001), Reichstein et al. (2005), and Wutzler et al. (2018)]. This tool has been primarily developed and tested for the gap-filling of CO2 fluxes. In this study, we provide the first detailed testing of this gap-filling tool on LE fluxes and explore alternative settings in the gap-filling procedure using different meteorological drivers. The tests were conducted using five EC data sets. Random artificial gaps of four different gap-length scenarios were used to compare the settings. Error propagation for both the default and alternative settings was computed for various time aggregations. In general, we confirm a good performance of the standard gap-filling tool with a bias error of MINUS SIGN 0.09 and MINUS SIGN 0.21 W mMINUS SIGN 2 for nocturnal growing and non-growing season cases, respectively, while daytime average bias error was 0.01 W mMINUS SIGN 2. Alternative settings produced similar results to the default settings for diurnal cases; however, the alternative settings substantially (81%) improved the performance of night-time gap-filling. At sites where night-time LE fluxes are significant, we recommend using net radiation instead of global radiation and relative air humidity instead of vapour pressure deficit to drive the LE gap-filling.

Název v anglickém jazyce

Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling

Popis výsledku anglicky

Accurate eddy covariance (EC) measurements require that the atmospheric and orographic conditions meet certain criteria. It is common that up to 60% of the original data must be rejected. In particular, a high percentage of data is often removed during nocturnal periods. Currently, the most widely used method for filling gaps in EC datasets is the tool developed at the Max Planck Institute for Biogeochemistry [as reported by Falge et al. (2001), Reichstein et al. (2005), and Wutzler et al. (2018)]. This tool has been primarily developed and tested for the gap-filling of CO2 fluxes. In this study, we provide the first detailed testing of this gap-filling tool on LE fluxes and explore alternative settings in the gap-filling procedure using different meteorological drivers. The tests were conducted using five EC data sets. Random artificial gaps of four different gap-length scenarios were used to compare the settings. Error propagation for both the default and alternative settings was computed for various time aggregations. In general, we confirm a good performance of the standard gap-filling tool with a bias error of MINUS SIGN 0.09 and MINUS SIGN 0.21 W mMINUS SIGN 2 for nocturnal growing and non-growing season cases, respectively, while daytime average bias error was 0.01 W mMINUS SIGN 2. Alternative settings produced similar results to the default settings for diurnal cases; however, the alternative settings substantially (81%) improved the performance of night-time gap-filling. At sites where night-time LE fluxes are significant, we recommend using net radiation instead of global radiation and relative air humidity instead of vapour pressure deficit to drive the LE gap-filling.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

—

Svazek periodika

139

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

12

Strana od-do

677-688

Kód UT WoS článku

000511515200045

EID výsledku v databázi Scopus

2-s2.0-85073932482