NESOSIM-MCMC Multi-Reanalysis-Average Product With Uncertainty Estimates ...
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; ava...
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2024
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| Online Access: | https://dx.doi.org/10.5281/zenodo.13307801 https://zenodo.org/doi/10.5281/zenodo.13307801 |
| Summary: | 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 ... |
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