[607] - 1st PhD Report: Assimilation of remotely sensed fluorescence data into the land-surface model CLM4

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Wieneke, S., 2012. 1st PhD Report: Assimilation of remotely sensed fluorescence data into the land-surface model CLM4. PhD Report, Institute of Geophysics and Meteorology, Univerity Cologne, Cologne, Germany. Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=607 at 2019-07-20.
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Title(s):Main Title: 1st PhD Report: Assimilation of remotely sensed fluorescence data into the land-surface model CLM4
Description(s):Abstract: The most important exchange process of CO2 between the atmosphere and the land-surface is photosynthesis. Therefore, the prediction of vegetation response to increasing atmospheric CO2 concentrations is crucial for a reliable prediction of climate change. Photosynthesis is a complex physiological process that consists of numerous bio-physical sub-processes and chemical reactions. Spatial and temporal patterns of photosynthesis depend on dynamic plant-specific adaptation strategies to highly variable environmental conditions. Photosynthesis can be estimated using land-surface models, but, while state-of-the-art models often rely on plant specific constants, they poorly simulate the dynamic adaptation of the physiological status of plant canopies. Another method to estimate plant photosynthesis is the measurement of sun-induced chlorophyll fluorescence (SICF). Several studies over the last decade have demonstrated that SICF is a promising proxy to estimate the diurnal dynamic vitality of the photosynthetic apparatus at both the leaf and canopy levels. Recent studies have shown, that the weak SICF signal is also detectable from air- and space-borne sensors. Although, it is not possible to derive data which resolve in a spatial and diurnal scale at the same time, spatial data sets could be used to update certain model parameters that are normally set as constants. This will result in a more realistic simulation of plant-specific adaptation strategies and therefore in a more realistic GPP too. Within the framework of the Transregio32 project (www.tr32.de) we installed automated hyperspectral fluorescence sensors at an agricultural site (winter wheat) in the Rur catchment area in west Germany at the end of July 2012. In the end of August, measurements on a nearby temperate grassland site (riparian meadow) and on a sugar beet field were performed. The sensors recorded diurnal time series of SICF in the footprint of eddy covariance towers. Spatial covering SICF data of the region are available from a measurement campaign by the air-borne hyperspectral FLEX sensor on the 23 nd 27 August 2012. Using the described SICF data sets as validation data we will discuss and test different approaches to modify the source code of the Community Land Model (CLM4) for more realistic calculation of ecosystem photosynthesis.
Responsible Party
Creator(s):Author: Sebastian Wieneke
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Vegetation
Related Sub-project(s):D2
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report1_Wieneke_2012.pdf
Data Type:Text
File Size:201 kB (0.196 MB)
Date(s):Available: 2012-08-31
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyOwnSubproject
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Report
Report Date:31st of August, 2012
Report Type:PhD Report
Report City:Cologne, Germany
Report Institution:Institute of Geophysics and Meteorology, Univerity Cologne
Number Of Pages:6
Period of Pages:1 - 6
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Sebastian Wieneke
Metadata Created:2013-12-06
Metadata Last Updated:2013-12-06
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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