Expert AR Detector Counts
Authors/Creators
- 1. Indiana University
- 2. Iowa State
- 3. National Center for Atmospheric Research
- 4. Lawrence Berkeley Lab
Description
Global atmospheric river (AR) counts, contributed by a set of 8 experts in atmospheric science. 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.
Information from each contributor is stored in a separate netCDF file. 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'Brien et al., (2020, GMD).
This dataset was used by O'Brien et al. (2020, GMD) to train a Bayesian AR Detector.
O'Brien, T. A., Risser, M. D., Loring, B., Elbashandy, A. A., Krishnan, H., Johnson, J., Patricola, C. M., O'Brien, J. P., Mahesh, A., Prabhat, Arriaga Ramirez, S., Rhoades, A. M., Charn, A., Inda Díaz, 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.
Files
Files
(3.0 GB)
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md5:dc44f3ab917985a1cdac619d25df2f42
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3.0 GB | Download |
Additional details
References
- O'Brien, T. A., Risser, M. D., Loring, B., Elbashandy, A. A., Krishnan, H., Johnson, J., Patricola, C. M., O'Brien, J. P., Mahesh, A., Prabhat, Arriaga Ramirez, S., Rhoades, A. M., Charn, A., Inda Díaz, 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.