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A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 2 - Optimisation Framework Using Eddy Covariance Observations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Model‐data comparison of MCI field campaign atmospheric CO2 mole fractions

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High‐resolution atmospheric inversion of urban CO 2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX)

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Ten years of eddy covariance measurements in Basel, Switzerland: Seasonal and interannual variabilities of urban CO2 mole fraction and flux

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On the controlling factors for the variability of carbon dioxide flux in a heterogeneous urban environment

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Multi‐year energy balance and carbon dioxide fluxes over a residential neighbourhood in a tropical city

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Correction of flux measurements for density effects due to heat and water vapour transfer

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Monte Carlo Strategies in Scientific Computing

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Footprints in Micrometeorology and Ecology

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Eddy covariance : a practical guide to measurement and data analysis

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Eddy Covariance Measurements Over Urban Areas

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The steady-state height and resistance laws of the nocturnal boundary layer: Theory compared with cabauw observations

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Applied model for the growth of the daytime mixed layer

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Temporal dynamics of CO2 fluxes and profiles over a Central European city

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Spatial source attribution of measured urban eddy covariance CO2 fluxes

inferredcites →https://doi.org/10.1007/s10546-008-9290-1openalex-snapshot

Large-Eddy Simulation of Flows over Random Urban-like Obstacles

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A New Aerodynamic Parametrization for Real Urban Surfaces

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Footprint Evaluation for Flux and Concentration Measurements for an Urban-Like Canopy with Coupled Lagrangian Stochastic and Large-Eddy Simulation Models

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Evaluation of Urban Local-Scale Aerodynamic Parameters: Implications for the Vertical Profile of Wind Speed and for Source Areas

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Tools for quality assessment of surface-based flux measurements

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Modelling the biogenic CO 2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters

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CO2 sources and sinks in urban and suburban areas of a northern mid-latitude city

inferredcites →https://doi.org/10.1016/j.atmosenv.2011.07.040openalex-snapshot

Validation of modeled carbon-dioxide emissions from an urban neighborhood with direct eddy-covariance measurements

inferredcites →https://doi.org/10.1016/j.atmosenv.2012.04.024openalex-snapshot

Identification of Micro-scale Anthropogenic CO2, heat and moisture sources – Processing eddy covariance fluxes for a dense urban environment

inferredcites →https://doi.org/10.1016/j.atmosenv.2013.03.030openalex-snapshot

Variability of CO2 concentrations and fluxes in and above an urban street canyon

inferredcites →https://doi.org/10.1016/j.atmosenv.2017.09.049openalex-snapshot

Statistical partitioning of a three-year time series of direct urban net CO 2 flux measurements into biogenic and anthropogenic components

inferredcites →https://doi.org/10.1016/j.atmosenv.2019.01.009openalex-snapshot

Eddy Covariance measurements and source partitioning of CO2 emissions in an urban environment: Application for Heraklion, Greece

inferredcites →https://doi.org/10.1016/j.atmosenv.2019.117204openalex-snapshot

Annual and seasonal variability of greenhouse gases fluxes over coastal urban and suburban areas in Portugal: Measurements and source partitioning

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Flux and concentration footprint modelling: State of the art

inferredcites →https://doi.org/10.1016/j.envsoft.2017.09.020openalex-snapshot

Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services

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Does urban vegetation enhance carbon sequestration?

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Accounting for urban biogenic fluxes in regional carbon budgets

inferredcites →https://doi.org/10.1016/j.scitotenv.2022.154662openalex-snapshot

Direct observations of CO2 emission reductions due to COVID-19 lockdown across European urban districts

inferredcites →https://doi.org/10.1016/j.scitotenv.2022.160216openalex-snapshot

A high-resolution monitoring approach of urban CO2 fluxes. Part 1 - bottom-up model development

inferredcites →https://doi.org/10.1016/s0022-1694(96)03194-0openalex-snapshot

A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide

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Footprint modeling for vegetation atmosphere exchange studies: a review and perspective

inferredcites →https://doi.org/10.1016/s1352-2310(97)00403-2openalex-snapshot

An improved method for the estimation of surface roughness of obstacle arrays

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Independent driving pattern factors and their influence on fuel-use and exhaust emission factors

inferredcites →https://doi.org/10.1017/9781139016476openalex-snapshot

Urban Climates

inferredcites →https://doi.org/10.1021/acs.est.0c00343openalex-snapshot

Policy-Relevant Assessment of Urban CO2 Emissions

inferredcites →https://doi.org/10.1021/acs.est.1c04973openalex-snapshot

Assessing the Effectiveness of an Urban CO2 Monitoring Network over the Paris Region through the COVID-19 Lockdown Natural Experiment

inferredcites →https://doi.org/10.1021/es010277eopenalex-snapshot

Micrometeorological Measurements of the Urban Heat Budget and CO2 Emissions on a City Scale

inferredcites →https://doi.org/10.1021/es3011282openalex-snapshot

Quantification of Fossil Fuel CO 2 Emissions on the Building/Street Scale for a Large U.S. City

inferredcites →https://doi.org/10.1023/a:1018966204465openalex-snapshot

Sonic Anemometer Tilt Correction Algorithms

inferredcites →https://doi.org/10.1029/2000jd900731openalex-snapshot

Sampling error in eddy correlation flux measurements

inferredcites →https://doi.org/10.1029/2010gb003974openalex-snapshot

What eddy‐covariance measurements tell us about prior land flux errors in CO2‐flux inversion schemes

inferredcites →https://doi.org/10.1029/2018jd029231openalex-snapshot

Source Sector Attribution of CO 2 Emissions Using an Urban CO/CO 2 Bayesian Inversion System

inferredcites →https://doi.org/10.1029/2018jd029576openalex-snapshot

Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki

inferredcites →https://doi.org/10.1038/s41467-020-20871-0openalex-snapshot

Under-reporting of greenhouse gas emissions in U.S. cities

inferredcites →https://doi.org/10.1038/s41558-018-0338-zopenalex-snapshot

A research roadmap for quantifying non-state and subnational climate mitigation action

inferredcites →https://doi.org/10.1073/pnas.1116645109openalex-snapshot

Assessment of ground-based atmospheric observations for verification of greenhouse gas emissions from an urban region

inferredcites →https://doi.org/10.1111/j.1365-2486.2005.00977.xopenalex-snapshot

Inversion of terrestrial ecosystem model parameter values against eddy covariance measurements by Monte Carlo sampling

inferredcites →https://doi.org/10.1134/s0001433812010148openalex-snapshot

Theoretical models of the height of the atmospheric boundary layer and turbulent entrainment at its upper boundary

inferredcites →https://doi.org/10.1137/1.9780898717921openalex-snapshot

Inverse Problem Theory and Methods for Model Parameter Estimation

inferredcites →https://doi.org/10.1175/1520-0426(1997)014<0512:qcafsp>2.0.co;2openalex-snapshot

Quality Control and Flux Sampling Problems for Tower and Aircraft Data

inferredcites →https://doi.org/10.1175/1520-0450(1986)025<1100:eotaww>2.0.co;2openalex-snapshot

Evaluation of the Accuracy with Which Dry Deposition Can Be Measured with Current Micrometeorological Techniques

inferredcites →https://doi.org/10.1175/2009jamc1945.1openalex-snapshot

Carbon Dioxide Emissions of the City Center of Firenze, Italy: Measurement, Evaluation, and Source Partitioning

inferredcites →https://doi.org/10.1214/aoap/1034625254openalex-snapshot

Weak convergence and optimal scaling of random walk Metropolis algorithms

inferredcites →https://doi.org/10.13140/rg.2.1.3909.8080openalex-snapshot

UQLab user manual - the INPUT module

inferredcites →https://doi.org/10.1525/elementa.137openalex-snapshot

Reconciling the differences between a bottom-up and inverse-estimated FFCO2 emissions estimate in a large US urban area

inferredcites →https://doi.org/10.1525/elementa.138openalex-snapshot

Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties

inferredcites →https://doi.org/10.1525/elementa.188openalex-snapshot

The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements

inferredcites →https://doi.org/10.3402/tellusb.v64i0.19047openalex-snapshot

Accounting for representativeness errors in the inversion of atmospheric constituent emissions: application to the retrieval of regional carbon monoxide fluxes

inferredcites →https://doi.org/10.3402/tellusb.v65i0.20894openalex-snapshot

Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions

inferredcites →https://doi.org/10.48550/arxiv.1803.08393openalex-snapshot

Calibrating Model-Based Inferences and Decisions

inferredcites →https://doi.org/10.5194/acp-12-337-2012openalex-snapshot

Constraining the CO 2 budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system

inferredcites →https://doi.org/10.5194/acp-12-8475-2012openalex-snapshot

Seasonal and annual variation of carbon dioxide surface fluxes in Helsinki, Finland, in 2006–2010

inferredcites →https://doi.org/10.5194/acp-16-14703-2016openalex-snapshot

The first 1-year-long estimate of the Paris region fossil fuel CO 2 emissions based on atmospheric inversion

inferredcites →https://doi.org/10.5194/acp-16-7743-2016openalex-snapshot

What would dense atmospheric observation networks bring to the quantification of city CO 2 emissions?

inferredcites →https://doi.org/10.5194/acp-18-3047-2018openalex-snapshot

Atmospheric CO 2 inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO 2 fluxes

inferredcites →https://doi.org/10.5194/amt-11-5421-2018openalex-snapshot

Uncertainty of eddy covariance flux measurements over an urban area based on two towers

inferredcites →https://doi.org/10.5194/bg-12-2809-2015openalex-snapshot

Bayesian inversions of a dynamic vegetation model at four European grassland sites

inferredcites →https://doi.org/10.5194/bg-12-7403-2015openalex-snapshot

An objective prior error quantification for regional atmospheric inverse applications

inferredcites →https://doi.org/10.5194/gmd-10-4187-2017openalex-snapshot

Numerical framework for the computation of urban flux footprints employing large-eddy simulation and Lagrangian stochastic modeling

inferredcites →https://doi.org/10.5194/gmd-8-3695-2015openalex-snapshot

A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.cacint.2026.100435openalex-snapshot

Divergence between eddy covariance fluxes and CO2 emission inventory of Vienna only partly explained by remote-sensed based vegetation predictors

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