Data and code supporting "How predictable was the May 2019 Arkansas River flooding? A case study."

Data and scripts used in the analysis described in "Western US Subseasonal Atmospheric River Prediction in the Global-Nested GFDL SHiELD Model." Model output was created using the GFDL SHiELD model as described in Harris et al. (2020). SHiELD build and model physics codes can be found in the NOAA/GFDL GitHub repositories. A containerized version of SHiELD (Cheng et al., 2022) is also available at https://shield.gfdl.noaa.gov/shield-in-a-box/. Cheng, K.-Y., Harris, L. M., and Sun, Y. Q. (2022). Enhancing the accessibility of unified modeling systems: GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD) v2021b in a container. Geosci. Model Dev., 15, 1097-1105, https://doi.org/10.5194/gmd-15-1097-2022. Harris, L. M., Zhou, L., Lin, S.-J., Chen, J.-H., Chen, X., Gao, K., et al. (2020). GFDL SHiELD: A unified system for weather-to-seasonal prediction. J. Adv. Model Earth Syst., 12(10), e2020MS002223, https://doi.org/10.1029/2020MS002223.