ORCHIDEE-ICE_AlbedoOptimisation

This version of ORCHIDEE has been used in the publication "Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS retrievals" by Raoult et al. (2023).

Abstract

Greenland ice sheet mass loss continues to accelerate as global temperatures increase. The surface albedo of the ice sheet determines the amount of absorbed solar energy, which is a key factor in driving surface snow and ice melting. Satellite retrieved albedo allows us to compare and optimise modelled albedo over the entirety of the ice sheet. We optimise the parameters of the albedo scheme in the ORCHIDEE land surface model for three random years taken over the 2000–2017 period and validate over the remaining years. In particular, we want to improve the albedo at the edges of the ice sheet since they correspond to ablation areas and show the greatest variations in runoff and surface mass balance. By giving a larger weight to points at the ice sheet's edge, we improve the model-data fit by reducing the RMSD by over 25 % for the whole ice sheet for the summer months. This improvement is consistent for all years, even those not used in the calibration step. We conclude by showing which additional model outputs are impacted by changes to the albedo parameters encouraging future work using multiple data streams for optimisation.

• See the version on the webinterface here : ​https://forge.ipsl.jussieu.fr/orchidee/browser/branches/publications/ORCHIDEE-ICE_AlbedoOptimisation
• Extract it on a terminal as follows, typing anonymous as password:

  svn co --username anonymous svn://forge.ipsl.jussieu.fr/orchidee/branches/publications/ORCHIDEE-ICE_AlbedoOptimisation ORCHIDEE
  

Metadata

DOI	[under request]
Creator	Fabienne Maignan
Affiliation	LSCE
Title	ORCHIDEE-ICE_AlbedoOptimisation
Publisher	Institut Pierre Simon Laplace (IPSL)
PublicationYear	2023
ResourceType	Software
Rights	This software is distributed under the CeCILL license
rightsURI	​http://www.cecill.info/
Subject	Atmospheric transport, Carbonyl sulfide
DataManager	Karim Ramage (IPSL)
DataCurator	Josefine Ghattas (IPSL)
ContactPerson	Nina Raoult (LSCE)
FundingReference	Nina Raoult was funded by the European Space Agency (ESA) as part of the Climate Change Initiative (CCI) fellowship (ESA ESRIN/Contract No. 4000133601).