rank_of_remote_sensing_averaging_kernel_of_mole_fraction_of_methane_in_air

complete
Created: Dec. 6, 2023
Proposer: Matthias Schneider
Proposed Date: 2022-12-22
#199
Change Date: Dec. 6, 2023, 5:02 p.m.
Term: kernel_rank_of_mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
Change Date: Dec. 6, 2023, 5:08 p.m.
Term: kernel_rank_of_mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
The averaging kernel matrix is rather storage intensive and in order to ensure their availability for each individual retrieval, a storage efficient format is needed. In Schneider et al. (2022) a singular vector decomposition his proposed. This allows a storage efficient provision of the averaging kernels in form of the number of leading singular vectors (the rank), the left leading singular vectors, the leading singular values, and the right leading singular vectors. Weber (2019) documents the respective storage efficiency.
Change Date: Jan. 29, 2024, 4:20 p.m.
Term: remote_sensing_averaging_kernel_of_mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
Averaging kernels of the methane mole fractions obtained by a remote sensing observation (changes of methane in the retrieved atmosphere relative to the changes of methane in the true atmosphere, Rodgers 2000).
Change Date: Jan. 29, 2024, 4:22 p.m.
Term: rank_of_remote_sensing_averaging_kernel_of_mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
Rank the matrix representing the remote sensing averaging kernels (Weber 2019; Schneider et al., 2022) of the methane mole fractions obtained by a remote sensing observation (changes of methane in the retrieved atmosphere relative to the changes of methane in the true atmosphere, Rodgers 2000).