ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks

Krinner, G.; Derksen, C.; Essery, R.; Flanner, M.; Hagemann, S.; Clark, M.; Hall, A.; Rott, H.; Brutel-Vuilmet, C.; Kim, Hyungjun; B Menard, Cecile; Mudryk, L.; Thackeray, C.; Wang, Libo; Arduini, G.; Balsamo, G.; Bartlett, P.; Boike, J.; Boone, A.; Chéruy, F.; Colin, J.; Cuntz, M.; Dai, Yongjiu; 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, Weiping; Marke, T.; Marks, D.; Ménégoz, M.; Nasonova, O.; Nitta, T.; Niwano, M.; Pomeroy, J.; Raleigh, M.; Schaedler, G.; Semenov, V.; G. Smirnova, Tanya; Stacke, T.; Strasser, U.; Svenson, S.; Turkov, D.; Wang, Tao; Wever, N.; Yuan, Hua; Zhou, Wenyan; Zhu, Dan

doi:10.5194/GMD-11-5027-2018

Public

ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks

Shared by NobleBlocks on Dec 10, 2018 • 12:00 AM UTC

Authors:

G. Krinner

C. Derksen

R. Essery

Abstract

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 proce...

Subject

Environmental Science

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