Information content estimation output for specific humidity profiles

Output of information content estimation based on optimal estimation theory [1]. Detailed descriptions of the information content estimation performed here can be found in Section 3.3 of [2]. The files have been created with the codes published on Github/Zenodo [3].

The cryptic file name suffixes _472, _481, _482, _483 and _484 represent different settings of the Neural Network retrieval to estimate the information content for different inputs:

_472: TBs at all frequencies of the microwave radiometers HATPRO and MiRAC-P (instruments are described in [2],[4])

_481: TBs only at K-band frequencies (22.24-31.4 GHz)

_482: TBs at K- and V-band frequencies (22.24 - 58 GHz)

_483: TBs at K- and G-band frequencies (22.24-31.4 GHz, 175.81-190.81 GHz)

_484: TBs at K-, G-band and higher frequencies (22.24-31.4 GHz, 175.81-190.81 GHz, 243 GHz, 340 GHz)

Detailed Neural Network settings can also be found in [2] and test_purpose.yaml in [3].

The file eval_info_content_idx.nc contains indices to consider a subset of the years 2001, 2006, 2011, 2015 of [5], used as evaluation data in [2], for the information content estimation. We did not use the full ERA5 evaluation data set because of computation time.

[1]: Rodgers, C. D.: Inverse methods for atmospheric sounding: theory and practice, no. 2 in Series on atmospheric, oceanic and planetary physics, World Scientific, Singapore, repr edn., ISBN 978-981-02-2740-1, 2008.

[2]: Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.

[3]: Walbröl, A.: Codes for: Combining low and high frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products (1.0.1). Zenodo. https://doi.org/10.5281/zenodo.11123136, 2024.

[4]: Walbröl, A., Crewell, S., Engelmann, R., Orlandi, E., Griesche, H., Radenz, M., Hofer, J., Althausen, D., Maturilli, M., and Ebell, K.: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC, Scientific Data, 9, 534, https://doi.org/10.1038/s41597-022-01504-1, 2022.

[5]: Walbröl, A., and Mech, M.: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10997365, 2024.