Term: fractional_kernel_singular_values_of_mole_fraction_of_methane_in_air

Unit: 1

Unit ref: UUUU

AMIP:

GRIB:

Term: fractional_kernel_singular_values_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.

Term: singular_value_of_remote_sensing_averaging_kernel_of_logarithm_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.

Term: singular_value_of_remote_sensing_averaging_kernel_of_logarithm_of_mole_fraction_of_methane_in_air

Unit: 1

Unit ref: UUUU

AMIP:

GRIB:

Singular values of 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).