The Python package (10.5281/zenodo.3613752) for the calculation of the OLR-based MJO (OMI) index comes with integration tests, with which the users can check the calculation results. However, in order to run some of these tests, input and reference datasets are needed. Specifically, a dataset of Outgoing Longwave Radiation (OLR) described by Liebmann and Smith (1996) is needed as the input and OMI values described by Kiladis et al. (2014) are needed as the reference. These files are provided by this upload and can be downloaded either as .tar.gz or as .zip file. Whereas exactly the files provided here are needed for the tests, updated versions of these datasets can be found on the websites of NOAA: https://psl.noaa.gov/data/gridded/data.interp_OLR.html and https://www.esrl.noaa.gov/psd/mjo/mjoindex/.

{"references": ["Liebmann, B., and C. A. Smith, 1996: Description of a complete (interpolated) outgoing long-wave radiation dataset. Bull. Amer. Meteor. Soc., 77, 1275\u20131277", "Kiladis G.N., J. Dias, K.H. Straub, M.C Wheeler, S.N. Tulich, K. Kikuchi, K.M. Weickmann, M.J. Ventrice. A comparison of OLR and circulation based indices for tracking the MJO. Monthly Weather Review, May 2014, 142 1697-1715."]}