TY - JOUR
T1 - A Pragmatic Protocol for Characterising Errors in Atmospheric Inversions of Methane Emissions over Europe
AU - Szénási, Barbara
AU - Berchet, LSCE
AU - Broquet, Gregoire
AU - Segers, Arjo
AU - Van Der Gon, Hugo Denier
AU - krol, maarten
AU - Hullegie, Joanna J.S.
AU - Kiesow, Anja
AU - Günther, Dirk
AU - Petrescu, Ana Maria Roxana
AU - Saunois, LSCE
AU - Bousquet, LSCE
AU - Pison, Isabelle
PY - 2020/8/13
Y1 - 2020/8/13
N2 - This study aims at estimating errors which are to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. A technically ready and computationally inexpensive method is used. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at the country and source sector scales. The method is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with three emission inventories and two sets of boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results include that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The total concentration error is 29 ppb and error patterns cover a number of measurement sites. The error of total CH4 emissions is 22% and emission errorsare heterogeneous at sector (23-49%) and country scales (16-124%), with largest errors occurring in the waste sector.
AB - This study aims at estimating errors which are to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. A technically ready and computationally inexpensive method is used. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at the country and source sector scales. The method is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with three emission inventories and two sets of boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results include that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The total concentration error is 29 ppb and error patterns cover a number of measurement sites. The error of total CH4 emissions is 22% and emission errorsare heterogeneous at sector (23-49%) and country scales (16-124%), with largest errors occurring in the waste sector.
M3 - Review article
JO - TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
JF - TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
SN - 0280-6509
ER -