Expert AR Detector Counts

<p>Global atmospheric river (AR) counts, contributed by a set of 8 experts in atmospheric science.&nbsp; Each contributor was presented with meteorological information in a graphical user interface and were asked to manually identify AR locations. Contributors counted ARs in at least 30 independent meteorological fields.</p> <p>Information from each contributor is stored in a separate netCDF file.&nbsp; The information includes: AR counts, approximate AR location, the corresponding integrated vapor transport field, and the associated timestamp. Each contributor is assigned a number, following the convention described by O&#39;Brien et al., (2020, GMD).</p> <p>This dataset was used by O&#39;Brien et al. (2020, GMD) to train a Bayesian AR Detector.</p> <p>O&#39;Brien, T. A., Risser, M. D., Loring, B., Elbashandy, A. A., Krishnan, H., Johnson, J., Patricola, C. M., O&#39;Brien, J. P., Mahesh, A., Prabhat, Arriaga Ramirez, S., Rhoades, A. M., Charn, A., Inda D&iacute;az, H., and Collins, W. D.: Detection of Atmospheric Rivers with Inline Uncertainty Quantification: TECA-BARD v1.0, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-55, Accepted, 2020.</p>