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The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations.

Authors :
Walters, David
Baran, Anthony
Boutle, Ian
Brooks, Malcolm
Earnshaw, Paul
Edwards, John
Furtado, Kalli
Hill, Peter
Lock, Adrian
Manners, James
Morcrette, Cyril
Mulcahy, Jane
Sanchez, Claudio
Smith, Chris
Stratton, Rachel
Tennant, Warren
Tomassini, Lorenzo
Van Weverberg, Kwinten
Vosper, Simon
Willett, Martin
Source :
Geoscientific Model Development Discussions; 2017, p1-78, 78p
Publication Year :
2017

Abstract

We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7.0/GL7.0): the latest science configurations of the Met Office Unified Model and JULES land surface model developed for use across weather and climate timescales. GA7.0 and GL7.0 include incremental developments and targeted improvements that between them address four critical errors identified in previous configurations: excessive precipitation biases over India, warm/moist biases in the tropical tropopause layer, a source of energy non-conservation in the advection scheme and excessive surface radiation biases over the Southern Ocean. They also include two new parametrisations, namely the UKCA Glomap-mode aerosol scheme and the JULES multi-layer snow scheme, which improve the fidelity of the simulation and were required for the coupled climate models and Earth system models that will use these configurations in submissions to CMIP6. In addition, we describe the GA7.1 branch configuration, which reduces an overly negative anthropogenic aerosol effective radiative forcing in GA7.0, whilst maintaining the quality of simulations of the present-day climate. GA7.1/GL7.0 will form the physical atmosphere/land component in the HadGEM3-GC3.1 and UKESM1 climate models. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
ATMOSPHERE
CLIMATOLOGY
WEATHER

Details

Language :
English
ISSN :
19919611
Database :
Complementary Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
127189612
Full Text :
https://doi.org/10.5194/gmd-2017-291