Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica
- Author
- Nicolas Ghilain, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz (UGent) and Wenguang Wei
- Organization
- Abstract
- We explore a methodology to statistically downscale snowfall - the primary driver of surface mass balance in Antarctica - from an ensemble of historical (1850-present day) simulations performed with an earth system model over the coastal region of Dronning Maud Land (East Antarctica). This approach consists of associating daily snowfall simulations from a polar-oriented regional atmospheric climate model at 5.5 km spatial resolution with specific weather patterns observed over 1979-2010 CE with the atmospheric reanalyses ERAInterim and ERA5. This association is then used to generate the spatial distribution of snowfall for the period from 1850 to present day for an ensemble of 10 members from the Community Earth System Model (CESM2). The new dataset of daily and yearly snowfall accumulation based on this methodology is presented in this paper (MASS2ANT dataset; https://doi.org/10.5281/zenodo.4287517; Ghilain et al., 2021). Based on a comparison with available ice cores and spatial reconstructions, our results show that the spatio-temporal distribution of snowfall is improved in the downscaled dataset compared with the CESM2 simulations. This dataset thus provides information that may be useful in identifying the large-scale patterns associated with the local precipitation conditions and their changes over the past century.
- Keywords
- General Earth and Planetary Sciences, SURFACE MASS-BALANCE, ICE CORE, FIRN CORES, CLIMATE, ACCUMULATION, VARIABILITY, PRECIPITATION, TEMPERATURE, IMPACT, SHELF
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GT72GZNKE8G7KYHSCNXFMH90
- MLA
- Ghilain, Nicolas, et al. “Large Ensemble of Downscaled Historical Daily Snowfall from an Earth System Model to 5.5 Km Resolution over Dronning Maud Land, Antarctica.” EARTH SYSTEM SCIENCE DATA, vol. 14, no. 4, 2022, pp. 1901–16, doi:10.5194/essd-14-1901-2022.
- APA
- Ghilain, N., Vannitsem, S., Dalaiden, Q., Goosse, H., De Cruz, L., & Wei, W. (2022). Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica. EARTH SYSTEM SCIENCE DATA, 14(4), 1901–1916. https://doi.org/10.5194/essd-14-1901-2022
- Chicago author-date
- Ghilain, Nicolas, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz, and Wenguang Wei. 2022. “Large Ensemble of Downscaled Historical Daily Snowfall from an Earth System Model to 5.5 Km Resolution over Dronning Maud Land, Antarctica.” EARTH SYSTEM SCIENCE DATA 14 (4): 1901–16. https://doi.org/10.5194/essd-14-1901-2022.
- Chicago author-date (all authors)
- Ghilain, Nicolas, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz, and Wenguang Wei. 2022. “Large Ensemble of Downscaled Historical Daily Snowfall from an Earth System Model to 5.5 Km Resolution over Dronning Maud Land, Antarctica.” EARTH SYSTEM SCIENCE DATA 14 (4): 1901–1916. doi:10.5194/essd-14-1901-2022.
- Vancouver
- 1.Ghilain N, Vannitsem S, Dalaiden Q, Goosse H, De Cruz L, Wei W. Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica. EARTH SYSTEM SCIENCE DATA. 2022;14(4):1901–16.
- IEEE
- [1]N. Ghilain, S. Vannitsem, Q. Dalaiden, H. Goosse, L. De Cruz, and W. Wei, “Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica,” EARTH SYSTEM SCIENCE DATA, vol. 14, no. 4, pp. 1901–1916, 2022.
@article{01GT72GZNKE8G7KYHSCNXFMH90,
abstract = {{We explore a methodology to statistically downscale snowfall - the primary driver of surface mass balance in Antarctica - from an ensemble of historical (1850-present day) simulations performed with an earth system model over the coastal region of Dronning Maud Land (East Antarctica). This approach consists of associating daily snowfall simulations from a polar-oriented regional atmospheric climate model at 5.5 km spatial resolution with specific weather patterns observed over 1979-2010 CE with the atmospheric reanalyses ERAInterim and ERA5. This association is then used to generate the spatial distribution of snowfall for the period from 1850 to present day for an ensemble of 10 members from the Community Earth System Model (CESM2). The new dataset of daily and yearly snowfall accumulation based on this methodology is presented in this paper (MASS2ANT dataset; https://doi.org/10.5281/zenodo.4287517; Ghilain et al., 2021). Based on a comparison with available ice cores and spatial reconstructions, our results show that the spatio-temporal distribution of snowfall is improved in the downscaled dataset compared with the CESM2 simulations. This dataset thus provides information that may be useful in identifying the large-scale patterns associated with the local precipitation conditions and their changes over the past century.}},
author = {{Ghilain, Nicolas and Vannitsem, Stéphane and Dalaiden, Quentin and Goosse, Hugues and De Cruz, Lesley and Wei, Wenguang}},
issn = {{1866-3508}},
journal = {{EARTH SYSTEM SCIENCE DATA}},
keywords = {{General Earth and Planetary Sciences,SURFACE MASS-BALANCE,ICE CORE,FIRN CORES,CLIMATE,ACCUMULATION,VARIABILITY,PRECIPITATION,TEMPERATURE,IMPACT,SHELF}},
language = {{eng}},
number = {{4}},
pages = {{1901--1916}},
title = {{Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica}},
url = {{http://doi.org/10.5194/essd-14-1901-2022}},
volume = {{14}},
year = {{2022}},
}
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