Počet záznamů: 1
Integration of flux tower data and remotely sensed data into the SCOPE simulator: A Bayesian approach
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SYSNO ASEP 0522666 Druh ASEP A - Abstrakt Zařazení RIV Záznam nebyl označen do RIV Zařazení RIV Není vybrán druh dokumentu Název Integration of flux tower data and remotely sensed data into the SCOPE simulator: A Bayesian approach Tvůrce(i) Raj, Rahul (UEK-B) RID, SAI, ORCID
Lukeš, Petr (UEK-B) ORCID, SAI, RID
Homolová, Lucie (UEK-B) RID, ORCID, SAI
Brovkina, Olga (UEK-B) RID, SAI, ORCID
Šigut, Ladislav (UEK-B) RID, ORCID, SAI
Bagher, B.Zdroj.dok. The 3rd ICOS Science Conference, Book of abstracts. - Praha, 2018
S. 131-132Poč.str. 2 s. Forma vydání Online - E Akce The 3rd ICOS Science Conference Datum konání 11.09.2018 - 13.09.2018 Místo konání Praha Země CZ - Česká republika Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova scope ; forest ; gross primary productivity ; modelling Vědní obor RIV JB - Senzory, čidla, měření a regulace Obor OECD Remote sensing Institucionální podpora UEK-B - RVO:86652079 Anotace Quantification of gross primary production (GPP) together with the continuous monitoring of its temporal variations are indispensable to obtain reliable data for indicating the capacity of forests to sequester carbon. GPP can be quantified us ing two sources: (a) process-based simulator (PBS); and (b) flux tower measurements of the net ecosystem exchange (NEE) of CO2. Additionally, remotely sensed optical data, which can be linked to the vegetation properties, carry valuable information to express canopy photosynthesis (i.e., GPP). A PBS has an advantage over flux tower and remotely sensed optical data because it can be run at time scales beyond the limit of direct measurements. Simulation of GPP by PBS at a high accuracy, however, depends up on how well the parameterization is achieved. A process-based simulator SCOPE (Soil-Canopy-Observation of Photosynthesis and Energy balance) links top of canopy observations of radiance with land surface processes (that include GPP simulation). Some parameters of SCOPE are difficult to obtain from field observations. Reliable estimates of parameters can, however, be obtained using calibration against observations of output. In this study, we present a Bayesian framework to calibrate SCOPE simulator against the estimates of GPP (separated from NEE), and the top of canopy Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2020
Počet záznamů: 1