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, 5:05 p.m.
Term: kernel_of mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
Change Date: Dec. 6, 2023, 5:07 p.m.
Term: kernel_of mole_fraction_of_methane_in_air
Unit: 1
Unit ref: UUUU
AMIP:
GRIB:
The averaging kernel is a decisive component of a remote-sensing retrieval because it reveals how changes of the real atmospheric state affect the retrieved atmospheric state (Rodgers, 2000). The kernel is indispensable for data interpretation and data reuse. It is an {n x n} matrix where n is the number of atmospheric levels (the dimension of the atmospheric trace gas state vector). The elements of the kernel matrix are the ratios of the differentials: delta(x_retrieved)/delta(x_real) Often the trace gas mole fractions are strongly varying with altitude. Then it is very useful to provide the fractional averaging kernels (e.g., Keppens et al., 2015). Because delta(x)/x =delta(ln(x)), the fractional averaging kernel is the same as the logarithmic scale averaging kernel.
Change Date: Jan. 29, 2024, 4:22 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).