The spectral longwave feedback parameter quantifies the change in Earth's spectrally resolved outgoing longwave radiation (OLR) in response to warming. It contains the radiative signature of all longwave feedbacks making it a key quantity influencing Earth's climate sensitivity. By spectrally resolving these changes in OLR, one can gain important information about the underlying feedback processes. This experiment contains spectrally resolved radiative quantities that can be used for the calculation of the global mean all-sky spectral longwave feedback parameter based on seasonal and interannual variability, using both satellite observations and simulations. This dataset was updated to provide more information on the sensitivity of the spectral longwave feedback parameter on relative humidity changes as well as on the impact of the surface feedback at different surface temperatures.
Roemer, Florian Elias; Buehler, Stefan A.; Brath, Manfred; Kluft, Lukas; John, Viju O. (2022). Spectrally resolved fluxes and feedbacks from observations and simulations. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/FluxFeedb_ObsSim
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2022-10-18
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data:: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIRoemer, Florian Elias; Buehler, Stefan A.; Brath, Manfred; Kluft, Lukas; John, Viju O. (2023). Spectrally resolved fluxes and feedbacks from observations and simulations (Version 2). doi:10.26050/WDCC/FluxFeedb_ObsSim_v2
Is compiled by
[1] DOIMüller, W. A.; Jungclaus, J. H.; Mauritsen, T.; Baehr, J.; Bittner, M.; Budich, R.; Bunzel, F.; Esch, M.; Ghosh, R.; Haak, H.; Ilyina, T.; Kleine, T.; Kornblueh, L.; Li, H.; Modali, K.; Notz, D.; Pohlmann, H.; Roeckner, E.; Stemmler, I.; Tian, F.; Marotzke, J. (2018). A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). doi:10.1029/2017ms001217
[2] DOISaunders, Roger; Hocking, James; Turner, Emma; Rayer, Peter; Rundle, David; Brunel, Pascal; Vidot, Jerome; Roquet, Pascale; Matricardi, Marco; Geer, Alan; Bormann, Niels; Lupu, Cristina. (2018). An update on the RTTOV fast radiative transfer model (currently at version 12). doi:10.5194/gmd-11-2717-2018
[3] DOIEriksson, P.; Buehler, S.A.; Davis, C.P.; Emde, C.; Lemke, O. (2011). ARTS, the atmospheric radiative transfer simulator, version 2. doi:10.1016/j.jqsrt.2011.03.001
[4] DOIBuehler, Stefan A.; Mendrok, Jana; Eriksson, Patrick; Perrin, Agnès; Larsson, Richard; Lemke, Oliver. (2018). ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition. doi:10.5194/gmd-11-1537-2018