NESOSIM-MCMC Multi-Reanalysis-Average Product With Uncertainty Estimates ...

• Main Authors: Cabaj, Alex, Petty, Alek A., Kushner, Paul J.
• Format: Dataset
• Language: unknown
• Published: Zenodo 2024
• Subjects: Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.13307800; https://zenodo.org/doi/10.5281/zenodo.13307800

Overview: This repository contains output from the NASA Eulerian Snow On Sea Ice Model (NESOSIM; Petty et al., 2018; available at https://zenodo.org/doi/10.5281/zenodo.4448355 ) calibrated to snow depth and density observations using a Markov chain Monte Carlo (MCMC) approach (Cabaj et al. 2023; available at https://zenodo.org/doi/10.5281/zenodo.7644947 ) with ECMWF ERA5 (Hersbach et al., 2020), NASA GMAO MERRA-2 (Gelaro et al., 2017), and JMA JRA-55 (Kobayashi et al., 2015) reanalysis snowfall inputs, for the 1980-2020 time period. Reanalysis snowfall input used with NESOSIM is scaled to scaling factors calculated from CloudSat-derived monthly snowfall climatologies, interpolated over the NESOSIM model domain (Cabaj et al. 2020, 2023). The MERRA-2 and JRA-55 reanalysis inputs and CloudSat scaling factors are included in this repository. Other forcing data used as inputs to NESOSIM to generate this output are provided in https://zenodo.org/records/7051062 . The NESOSIM-MCMC-Average product is a ...