Krinner, G; Derksen, C; Essery, R; Flanner, M; Hagemann, S; Clark, M; Hall, A; Rott, H; Brutel-Vuilmet, C; Kim, H; Ménard, CB; Mudryk, L; Thackeray, CW; Wang, L; Arduini, G; Balsamo, G; Bartlett, P; Boike, J; Boone, A; Chéruy, F; Colin, J; Cuntz, M; Dai, Y; Decharme, B; Derry, J; Ducharne, A; Dutra, E; Fang, X; Fierz, C; Ghattas, J; Gusev, Y; Haverd, V; Kontu, A; Lafaysse, M; Law, R; Lawrence, D; Li, W; Marke, T; Marks, D; Ménégoz, M; Nasonova, O; Nitta, T; Niwano, M; Pomeroy, J; Raleigh, MS; Schaedler, G; Semenov, V; Smirnova, T; Stacke, T; Strasser, U; Svenson, S; Turkov, D; Wang, T; Wever, N; Yuan, H; Zhou, W; Zhu, D
ESM-SnowMIP: Assessing models and quantifying snow-related climate feedbacks Journal Article
In: Geoscientific Model Development, vol. 11, pp. 5027–5049, 2018.
@article{1814,
title = {ESM-SnowMIP: Assessing models and quantifying snow-related climate feedbacks},
author = {G Krinner and C Derksen and R Essery and M Flanner and S Hagemann and M Clark and A Hall and H Rott and C Brutel-Vuilmet and H Kim and CB Ménard and L Mudryk and CW Thackeray and L Wang and G Arduini and G Balsamo and P Bartlett and J Boike and A Boone and F Chéruy and J Colin and M Cuntz and Y Dai and B Decharme and J Derry and A Ducharne and E Dutra and X Fang and C Fierz and J Ghattas and Y Gusev and V Haverd and A Kontu and M Lafaysse and R Law and D Lawrence and W Li and T Marke and D Marks and M Ménégoz and O Nasonova and T Nitta and M Niwano and J Pomeroy and MS Raleigh and G Schaedler and V Semenov and T Smirnova and T Stacke and U Strasser and S Svenson and D Turkov and T Wang and N Wever and H Yuan and W Zhou and D Zhu},
url = {https://doi.org/10.5194/gmd-11-5027-2018},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Geoscientific Model Development},
volume = {11},
pages = {5027–5049},
abstract = {This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).