The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations

被引：461

作者：

Walters, David ^{[1
]}

Boutle, Ian ^{[1
]}

Brooks, Malcolm ^{[1
]}

Melvin, Thomas ^{[1
]}

Stratton, Rachel ^{[1
]}

Vosper, Simon ^{[1
]}

Wells, Helen ^{[1
]}

Williams, Keith ^{[1
]}

NigelWood ^{[1
]}

Allen, Thomas ^{[1
]}

Bushell, Andrew ^{[1
]}

Copsey, Dan ^{[1
]}

Earnshaw, Paul ^{[1
]}

Edwards, John ^{[1
]}

Gross, Markus ^{[1
,2
]}

Hardiman, Steven ^{[1
]}

Harris, Chris ^{[1
]}

Heming, Julian ^{[1
]}

Klingaman, Nicholas ^{[3
]}

Levine, Richard ^{[1
]}

Manners, James ^{[1
]}

Martin, Gill ^{[1
]}

Milton, Sean ^{[1
]}

Mittermaier, Marion ^{[1
]}

Morcrette, Cyril ^{[1
]}

Riddick, Thomas ^{[1
,4
]}

Roberts, Malcolm ^{[1
]}

Sanchez, Claudio ^{[1
]}

Selwood, Paul ^{[1
]}

Stirling, Alison ^{[1
]}

Smith, Chris ^{[1
]}

Suri, Dan ^{[1
]}

Tennant, Warren ^{[1
]}

Vidale, Pier Luigi ^{[1
]}

JonathanWilkinson ^{[1
]}

Willett, Martin ^{[1
]}

Woolnough, Steve ^{[3
]}

Xavier, Prince ^{[1
]}

机构：

[1] Met Off, FitzRoy Rd, Exeter EX1 3PB, Devon, England

[2] Ctr Invest Cient & Educ Super Ensenada, Dept Oceanog Fis, Carretera Ensenada Tijuana 3918, Ensenada 22860, Baja California, Mexico

[3] Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading RG6 6BB, Berks, England

[4] Max Planck Inst Meteorol, Bundesstr 53, D-20146 Hamburg, Germany

来源：

GEOSCIENTIFIC MODEL DEVELOPMENT | 2017年 / 10卷 / 04期

基金：

英国自然环境研究理事会;

关键词：

NUMERICAL WEATHER PREDICTION; OROGRAPHIC DRAG PARAMETRIZATION; ENVIRONMENT SIMULATOR JULES; GENERAL-CIRCULATION MODEL; BOUNDARY-LAYER; CLIMATE MODEL; INTRASEASONAL VARIABILITY; RADIATIVE-TRANSFER; COUPLED MODEL; SINGLE-COLUMN;

D O I：

10.5194/gmd-10-1487-2017

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

We describe Global Atmosphere 6.0 and Global Land 6.0 (GA6.0/GL6.0): the latest science configurations of the Met Office Unified Model and JULES (Joint UK Land Environment Simulator) land surface model developed for use across all timescales. Global Atmosphere 6.0 includes the ENDGame (Even Newer Dynamics for General atmospheric modelling of the environment) dynamical core, which significantly increases mid-latitude variability improving a known model bias. Alongside developments of the model's physical parametrisations, ENDGame also increases variability in the tropics, which leads to an improved representation of tropical cyclones and other tropical phenomena. Further developments of the atmospheric and land surface parametrisations improve other aspects of model performance, including the forecasting of surface weather phenomena. We also describe GA6.1/GL6.1, which includes a small number of long-standing differences from our main trunk configurations that we continue to require for operational global weather prediction. Since July 2014, GA6.1/GL6.1 has been used by the Met Office for operational global numerical weather prediction, whilst GA6.0/GL6.0 was implemented in its remaining global prediction systems over the following year. Copyright statement. The works published in this journal are distributed under the Creative Commons Attribution 3.0 License. This license does not affect the Crown copyright work, which is re-usable under the Open Government Licence (OGL). The Creative Commons Attribution 3.0 License and the OGL are interoperable and do not conflict with, reduce or limit each other. (C) Crown copyright 2017

引用

页码：1487 / 1520

页数：34

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