[804] - CO2 flux estimation by 4D-Var data assimilation of in-situ and remote sensing data

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Klimpt, J., 2014. CO2 flux estimation by 4D-Var data assimilation of in-situ and remote sensing data. PhD Report, RIU, Cologne. Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=804 at 2019-04-24.
Title(s):Main Title: CO2 flux estimation by 4D-Var data assimilation of in-situ and remote sensing data
Alternative Title: PhD-Report
Description(s):Abstract: Estimating CO2 fluxes over heterogeneous patterns is important when providing a CO2 budget and interpreting observed CO2 time series. The fluxes used in this study include anthropogenic and biogenic emissions, sources for the atmosphere, biogenic sinks and lateral fluxes inwards and outwards of the model region the Rur catchment area.Estimating of these fluxes not only requires spatially and temporarily resolved models but also requires measurements that can distinguish between flux type. This estimation is very challenging since the atmospheric background CO2 concentration is relatively high compared to the occurent fluxes and it is not possible to distinguish the \type" of CO2 with a flux measurement. One method of dealing with this challenge is to simulate passive tracer transport in the atmosphere. This simulation should not only rely on a transport algorithm but also has to be able to adjust errors from initial concentrations and emission strengths. We chose the four-dimensional variational data assimilation (4D-Var), which precisely defines the merging of observation and model information. In this work, we investigate how to assign quantitavily different origins of CO2 to heterogeneous structures in the atmosphere. A combined 4D-Var initial value and emission factor optimization is performed to estimate CO2 fluxes.
Responsible Party
Creator(s):Author: Johannes Klimpt
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Atmosphere
Related Sub-project(s):D3
Subject(s):CRC/TR32 Keywords: Data Assimilation, CO2 Flux, PhD Report
File Details
File Name:Klimpt-report-final_14_01_30.pdf
Data Type:Text
File Size:229 kB (0.224 MB)
Date(s):Created: 2014-01-30
Mime Type:application/pdf
Data Format:PDF
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
North:-no map data
Measurement Region:None
Measurement Location:--None--
Specific Informations - Report
Report Date:30th of January, 2014
Report Type:PhD Report
Report City:Cologne
Report Institution:RIU
Metadata Details
Metadata Creator:Johannes Klimpt
Metadata Created:2014-08-06
Metadata Last Updated:2014-08-06
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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