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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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MERRA-2 based surface spectral radiative kernels

Authors: Chen, Xiuhong; Huang, Xianglei;

MERRA-2 based surface spectral radiative kernels

Abstract

These surface spectral radiative kernels are computed by Xianglei Huang's group at the University of Michigan, using one year of 6-hourly profiles from MERRA-2 and MODTRAN 5.2.0.0 radiative transfer model. This product is an outcome of an NASA MEASURES project (80NSSC24M0014) awarded to the University of Maryland, Baltimore County, with a subcontract to the University of Michigan. The surface radiative kernels are defined as the sensitivity of downward longwave flux at the surface to the atmospheric states (T, Ts, q and CO2). The datasets contain 96 NetCDF files: 12months*4variables(T,q,Ts,CO2)*2types(all-sky and clear-sky)Total size: 38G T and q kernels have 4 dimensions: lat, lon, level, frequency Ts and CO2 have 3 dimensions: lat, lon, frequency Resolution:181 lat grids: -90 to 90, every 1 degree144 lon grids: -180 to 177.5, every 2.5 degree17 pressure layers, lower boundary: 1050, 950, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20 hPa upper boundary: 950, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10 hPa440 frequency grids: 0-2195 cm-1, every 5 cm-1. A sample code, example.m is an example for using the dataset. If you have any questions about the dataset, please contact Xiuhong Chen at xiuchen@umich.edu or Xianglei Huang at xianglei@umich.edu. If you use these datasets for publication, please cite Chen, X. H and X. L. Huang, 2025: MERRA-2 based surface spectral radiative kernels. https://doi.org/10.5281/zenodo.17675159

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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