Arne Babenhauserheide

ORCID: 0000-0003-1381-8277
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric Ozone and Climate
  • Atmospheric chemistry and aerosols
  • Meteorological Phenomena and Simulations
  • Spectroscopy and Laser Applications
  • Ionosphere and magnetosphere dynamics
  • CO2 Sequestration and Geologic Interactions
  • Climate variability and models
  • Reservoir Engineering and Simulation Methods
  • Access Control and Trust
  • Information and Cyber Security
  • Vehicle emissions and performance
  • Geological Studies and Exploration
  • Hydrocarbon exploration and reservoir analysis
  • Open Education and E-Learning
  • Mathematics, Computing, and Information Processing

Karlsruhe Institute of Technology
2015-2020

Disy (Germany)
2018

Abstract. Data assimilation systems are used increasingly to constrain the budgets of reactive and long-lived gases measured in atmosphere. Each trace gas has its own lifetime, dominant sources sinks, observational network (from flask sampling situ measurements space-based remote sensing) therefore comes with optimal configuration data assimilation. The CarbonTracker Europe system for CO2 estimates global carbon updates released annually cycle studies. simulations performed using new modular...

10.5194/gmd-10-2785-2017 article EN cc-by Geoscientific model development 2017-07-18

Abstract. We present a simple statistical approach for estimating the greenhouse gas emissions of large cities using accurate long-term data column-averaged abundances collected by nearby FTIR (Fourier transform infrared) spectrometer. This is then used to estimate carbon dioxide from Tokyo. measurements Total Carbon Column Observing Network (TCCON) derive quantitative spectral analysis molecular absorption bands observed in near-infrared solar spectra. Consequently these only include...

10.5194/amt-13-2697-2020 article EN cc-by Atmospheric measurement techniques 2020-05-27

Abstract. Data assimilation systems allow for estimating surface fluxes of greenhouse gases from atmospheric concentration measurements. Good knowledge about is essential to understand how climate change affects ecosystems and characterize feedback mechanisms. Based on the more than 1 year in situ measurements, we compare performance two established data models, CarbonTracker TM5-4DVar (Transport Model 5 – Four-Dimensional Variational model), CO2 flux estimation. uses an ensemble Kalman...

10.5194/acp-15-9747-2015 article EN cc-by Atmospheric chemistry and physics 2015-09-01

Abstract. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) was an infrared limb emission spectrometer on the Envisat platform. From 2002 to 2012, it performed pole-to-pole measurements during day and night, producing more than 1000 profiles per day. European Space Agency (ESA) recently released new version 7 of Level 1B MIPAS spectra, in which a set time-dependent correction coefficients nonlinearity detector response functions implemented. This change is expected reduce...

10.5194/amt-11-4693-2018 article EN cc-by Atmospheric measurement techniques 2018-08-10

Abstract. Data assimilation systems are used increasingly to constrain the budgets of reactive and long-lived gases measured in atmosphere. Each trace gas has its own lifetime, dominant sources sinks, observational network (from flask sampling situ measurements space-based remote sensing) therefore comes with optimal configuration data assimilation. The CarbonTracker Europe system for CO2 estimates global carbon updates released annually cycle studies. simulations performed using new modular...

10.5194/gmd-2017-45 preprint EN cc-by 2017-03-21

Abstract. We present a simple approach for estimating the greenhouse gas emissions of large cities using accurate long-term data column-averaged abundances collected by nearby FTIR (Fourier Transform InfraRed) spectrometer. estimate average yearly carbon from area Tokyo to be 86 ± 33 MtCyear between 2011 and 2016, calculated only measurements TCCON site in Tsukuba (north-east Tokyo) wind-speed radiosondes.

10.5194/amt-2018-224 article EN cc-by 2018-10-05

Abstract. MIPAS thermal limb emission measurements were used to derive vertically resolved profiles of carbon tetrachloride (CCl4). Level-1b data versions MIPAS/5.02 MIPAS/5.06 converted into volume mixing ratio using the level-2 processor developed at Karlsruhe Institute Technology (KIT) Meteorology and Climate Research (IMK) Consejo Superior de Investigaciones Científicas (CSIC), Instituto Astrofísica Andalucía (IAA). Consideration peroxyacetyl nitrate (PAN) as an interfering species,...

10.5194/amt-10-2727-2017 article EN cc-by Atmospheric measurement techniques 2017-07-28

Abstract. Data assimilation systems allow for estimating surface fluxes of greenhouse gases from atmospheric concentration measurements. Good knowledge about is essential to understand how climate change affects ecosystems and characterize feedback mechanisms. Based on more than one year in-situ measurements, we compare the performance two established data models, CarbonTracker TM5-4DVar, CO2 flux estimation. uses an Ensemble Kalman Filter method optimize ecoregions. TM5-4DVar employs a 4-D...

10.5194/acpd-15-8883-2015 article EN cc-by 2015-03-25

Abstract. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) was an IR limb emission spectrometer on the Envisat platform. From 2002 to 2012, it performed pole-to-pole measurements during day and night, producing more than 1000 profiles/day. European Space Agency (ESA) has recently released new version 7 of Level 1 MIPAS spectra, in which a set time-dependent correction coefficients non-linearity detectors’ response functions implemeted. This change is expected reduce...

10.5194/amt-2017-345 preprint EN cc-by 2017-11-01

This study shows that adding measurements decreases the uncertainty of estimated fluxes due to differences between models and total column complement in-situ measurements. To this end it implements usage ground-based for inverse modelling which lays foundation more measurement sources, from ground as well satellite.

10.5445/ir/1000052678 article EN 2016-01-01
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