Inverse problems in atmospheric constituent transport

By I. Enting. 2002

411 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Chemistry, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/db23417ecadd2c188c083c0a4a59a61a69453ffc

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Citations in the corpus

Basis-Function Models in Spatial Statistics (2021, methodology): “For example, Figure 1 summarises the three-dimensional spatio-temporal output of the Model for OZone And Related chemical Tracers (MOZART), a numerical atmospheric-transport model. The output is simulated CO2 changes in the atmosphere in response to a pulse of emissions in central Africa throughout ”
A geostatistical approach to surface flux estimation of atmospheric trace gases (2004, neutral): “The solution is [Tarantola, 1987; Enting, 2002] bs ¼ sp þQHT HQHT þ R 1 z Hsp ; ð2Þ Vŝ ¼ Q QHT HQHT þ R 1 HQ; ð3Þ where bs is the posterior best estimate of s and Vŝ is its posterior covariance.”
Contribution of the Orbiting Carbon Observatory to the estimation of CO2 sources and sinks: Theoretical study in a variational data assimilation framework (2007, background): “It is at the root of CO2 surface flux estimations at the global scale [e.g., Enting et al., 1995; Gurney et al., 2002; Enting, 2002].”
An inverse modeling method to assess the source term of the Fukushima Nuclear Power Plant accident using gamma dose rate observations (2013, background): “Since the Jacobian matrix is ill-conditioned, the source receptor equation constitutes an ill-posed inverse problem (Enting, 2002) and cannot be solved directly.”
Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods (2013, background): “This cost function is minimized with respect tox to find the “optimal” point that minimizes the total mismatch of the two terms (Enting, 2002; Tarantola, 2005).”
The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “Niwa et al. (2012) performed an inversion analysis by using the synthesis inversion method (Enting 2002) with NICAM-TM.”
An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations (2005, background): “One branch of these studies is atmospheric transport inversions, in which net CO2 exchange across the Earth’s surface is deduced ‘‘top-down’’ from CO2 concentration measurements in the atmosphere (see Enting [2002] for a discussion of these methods).”
Source Inversion for Contaminant Plume Dispersion in Urban Environments Using Building-Resolving Simulations (2005, background): “The exact direct inversion approaches are strictly limited to processes governed by linear equations and also assume the system is steady-state (Enting, 2002).”
Estimation of Errors in the Inverse Modeling of Accidental Release of Atmospheric Pollutant: Application to the Reconstruction of the Cesium-137 and Iodine-131 Source Terms from the Fukushima Daiichi Power Plant (2012, background): “For the transport of tracer at regional to global scale, and in particular long-range radionuclides, it is well known that the Jacobian matrix is ill conditioned because of the dispersive nature of large-scale transport [Enting, 2002].”
History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) (2018, methodology): “Instead we refer the reader to two comprehensive books that provide in-depth summaries of most of the major models and methods used to estimate sources and sinks from measurements (Enting, 2002; Kasibhatla et al., 2000).”
TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003 (2006, methodology): “Gurney [2004] assesses this uncertainty for TransCom 3 interannual inversions similar to those presented here, and Baker [2001] and Rödenbeck et al.”