Number of the records: 1
Integration of flux tower data and remotely sensed data into the SCOPE simulator: A Bayesian approach
- 1.
SYSNO ASEP 0522666 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title Integration of flux tower data and remotely sensed data into the SCOPE simulator: A Bayesian approach Author(s) 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.Source Title The 3rd ICOS Science Conference, Book of abstracts. - Praha, 2018
S. 131-132Number of pages 2 s. Publication form Online - E Action The 3rd ICOS Science Conference Event date 11.09.2018 - 13.09.2018 VEvent location Praha Country CZ - Czech Republic Event type WRD Language eng - English Country CZ - Czech Republic Keywords scope ; forest ; gross primary productivity ; modelling Subject RIV JB - Sensors, Measurment, Regulation OECD category Remote sensing Institutional support UEK-B - RVO:86652079 Annotation 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 Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2020
Number of the records: 1