The Environment and Climate Change Canada Carbon
Assimilation System (EC-CAS v1.0): demonstration with simulated
CO observations

Khade, Vikram; Polavarapu, Saroja; Neish, Michael; Houtekamer, P. L.; Jones, Dylan B. A.; Baek, Seung-Jong; He, Tai‐Long; Gravel, Sylvie

doi:10.5194/gmd-2020-219

Cited by 2 publications

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“…Thus, investigating the impact of different CO 2 LBCs on the resolvable scales of CO 2 might be an interesting topic for future study. Recently, EC‐CAS (ECCC Carbon Assimilation System) for carbon monoxide (CO) has been developed, utilizing an operational global EnKF system to simultaneously estimate the state of atmosphere and target tracer (Khade et al., 2021). In the future, it could be envisioned to utilize this system to quantify CO 2 transport error using ensemble simulations.…”

Section: Discussionmentioning

confidence: 99%

The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model

et al. 2021

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CO 2 is one of the most significant trace gases in the atmosphere due to its role in global climate change (IPCC, 2013). Thus, estimating accurate carbon budgets is an important task in understanding the carbon cycle (Friedlingstein et al., 2019). In an atmospheric inversion of CO 2 , a transport model is used as a forward model with prescribed or forecasted meteorology to transform surface CO 2 flux information into atmospheric CO 2 concentrations (or mole fractions of dry air) (Ciais et al., 2010). The recent availability of high horizontal resolution transport models at global and regional scales (e.g., Agustí-Panareda et al., 2019;Feng et al., 2016;Kim et al., 2020) now permits the variability of atmospheric CO 2 to be simulated at higher spatial and temporal resolutions than before. At the same time, the CO 2 observation network has expanded considerably so that high resolution models constrained by a dense network of surface, aircraft, and satellite-based measurements which cover broad and high temporal frequencies may be able to retrieve surface CO 2 fluxes at higher spatio-temporal scales with an inverse model. However, systematic differences in transport models continue to play an important role in errors and uncertainties of estimated surface CO 2 fluxes obtained through atmospheric inversions (

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Section: Discussionmentioning

confidence: 99%

The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model

et al. 2021

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The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations

et al. 2021

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Abstract. In this study, we present the development of a new coupled weather and carbon monoxide (CO) data assimilation system based on the Environment and Climate Change Canada (ECCC) operational ensemble Kalman filter (EnKF). The estimated meteorological state is augmented to include CO. Variable localization is used to prevent the direct update of meteorology by the observations of the constituents and vice versa. Physical localization is used to damp spurious analysis increments far from a given observation. Perturbed surface flux fields are used to account for the uncertainty in CO due to errors in the surface fluxes. The system is demonstrated for the estimation of three-dimensional CO states using simulated observations from a variety of networks. First, a hypothetically dense, uniformly distributed observation network is used to demonstrate that the system is working. More realistic observation networks, based on surface hourly observations, and space-based observations provide a demonstration of the complementarity of the different networks and further confirm the reasonable behavior of the coupled assimilation system. Having demonstrated the ability to estimate CO distributions, this system will be extended to estimate surface fluxes in the future.

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The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations

Cited by 2 publications

References 52 publications

The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model

The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model

The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations

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The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations

Cited by 2 publications

References 52 publications

The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model

The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model

The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations

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The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model

The Resolvable Scales of Regional‐Scale CO₂ Transport in the Context of Imperfect Meteorology: The Predictability of CO₂ in a Limited‐Area Model