1 |
Lock, A. P., A. R. Brown, M. R. Bush, G. M. Martin, and R. N. B. Smith, 2000: A new boundary layer mixing scheme. Part I: Scheme description and single-column model tests. Mon. Wea. Rev., 128, 3187-3199.
DOI
|
2 |
Lott, F., and M. J. Miller, 1997: A new subgrid-scale orographic drag parametrization: Its formulation and testing. Q. J. R. Meteorol. Soc., 123, 101-127.
DOI
|
3 |
MacLachlan, C., and Coauthors, 2015: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system. Q. J. R. Meteorol. Soc., 141, 1072-1084, doi:10.1002/qj.2396.
DOI
|
4 |
Hunke, E. C., and W. H. Lipscomb, 2010: CICE: The Los Alamos sea ice model documentation and software user's manual, version 4.1. Los Alamos National Laboratory, LA-CC-06-012, 76 pp.
|
5 |
Kim, D.-K., Y.-H. Kim, and C. Yoo, 2019: Predictability of Northern Hemisphere teleconnection patterns in GloSea5 hindcast experiments up to 6 weeks. Atmosphere, 29, 295-309, doi:10.14191/Atmos.2019.29.3.295 (in Korean with English abstract).
DOI
|
6 |
Kobayashi, S., and Coauthors, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan Ser.II, 93, 5-48, doi:10.2151/jmsj.2015-001.
DOI
|
7 |
Dee D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc., 137, 553-597, doi:10.1002/qj.828.
DOI
|
8 |
Arakawa, A., 1966: Computational design for long-term numerical integration of the equations of fluid motion: Two-dimensional incompressible flow. Part I. J. Comput. Phys., 1, 119-143.
DOI
|
9 |
Adcroft, A., and J.-M. Campin, 2004: Rescaled height coordinates for accurate representation of free-surface flows in ocean circulation models. Ocean Model., 7, 269-284, doi:10.1016/j.ocemod.2003.09.003.
DOI
|
10 |
Adler, R. F., and Coauthors, 2018: The Global Precipitation Climatology Project (GPCP) monthly analysis (New version 2.3) and a review of 2017 global precipitation. Atmosphere, 9, 138, doi:10.3390/atmos9040138.
DOI
|
11 |
Bigg, G. R., M. R. Wadley, D. P. Stevens, and J. A. Johnson, 1997: Modelling the dynamics and thermodynamics of icebergs. Cold Reg. Sci. Technol., 26, 113-135.
DOI
|
12 |
Baran, A. J., P. Hill, D. Walters, S. C. Hardman, K. Furtado, P. R. Field, and J. Manners, 2016: The impact of two coupled cirrus microphysics-radiation parameterizations on the temperature and specific humidity biases in the tropical tropopause layer in a climate model. J. Climate, 29, 5299-5316, doi:10.1175/JCLID-15-0821.1.
DOI
|
13 |
Beckmann, A., and R. Doscher, 1997: A method for improved representation of dense water spreading over topography in geopotential-coordinate models. J. Phys. Oceanogr., 27, 581-591.
DOI
|
14 |
Bernie, D. J., S. J. Woolnough, J. M. Slingo, and E. Guilyardi, 2005: Modeling diurnal and intraseasonal variability of the ocean mixed layer. J. Climate, 18, 1190-1202.
DOI
|
15 |
Bitz, C. M., and W. H. Lipscomb, 1999: An energy-conserving thermodynamic model of sea ice. J. Geophys. Res. Oceans, 104, 15669-15677, doi:10.1029/ 1999JC900100.
DOI
|
16 |
Boutle, I. A., and S. J. Abel, P. G. Hill, and C. J. Morcrette, 2014: Spatial variability of liquid cloud and rain: observations and microphysical effects. Q. J. R. Meteorol. Soc., 140, 583-594, doi:10.1002/qj.2140.
DOI
|
17 |
Best, M. J., and Coauthors, 2011: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes. Geosci. Model Dev., 4, 677-699, doi:10.5194/gmd-4-677-2011.
DOI
|
18 |
Mathiot, P., A. Jenkins, C. Harris, and G. Madec, 2017: Explicit representation and parametrised impacts of under ice shelf seas in the z* coordinate ocean model NEMO 3.6. Geosci. Model Dev., 10, 2849-2874, doi:10.5194/gmd-10-2849-2017.
DOI
|
19 |
Madec, G., 2008: NEMO ocean engine. Note du Pole de modelisation de l'Institut Pierre-Simon Laplace 27, 300 pp.
|
20 |
Marsh, R., and Coauthors, 2015: NEMO-ICB (v1.0): interactive icebergs in the NEMO ocean model globally configured at eddy-permitting resolution. Geosci. Model Dev., 8, 1547-1562, doi:10.5194/gmd-8-1547-2015.
DOI
|
21 |
Lock, A. P., 2001: The numerical representation of entrainment in parameterizations of boundary layer turbulent mixing. Mon. Wea. Rev., 129, 1148-1163.
DOI
|
22 |
Paolino, D. A., J. L. Kinter III, B. P. Kirtman, D. Min, and D. M. Straus, 2012: The impact of land surface and atmospheric initialization on seasonal forecasts with CCSM. J. Climate, 25, 1007-1021, doi:10.1175/2011JCLI3934.1.
DOI
|
23 |
Pearson, K. J., G. M. S. Lister, C. E. Birch, R. P. Allan, R. J. Hogan, and S. J. Woolnough, 2014: Modelling the diurnal cycle of tropical convection across the 'grey zone'. Q. J. R. Meteorol. Soc., 140, 491-499, doi:10.1002/qj.2145.
DOI
|
24 |
Mogensen, K. S., M. A. Balmaseda, A. Weaver, M. Martin, and A. Vidard, 2009: NEMOVAR: A variational data assimilation system for the NEMO ocean model. ECMWF Newslett., 120, 17-21.
|
25 |
Jin, Z., Y. Qiao, Y. Wang, Y. Fang, and W. Yi, 2011: A new parameterization of spectral and broadband ocean surface albedo. Opt. Express, 19, 26429-26443, doi: 10.1364/OE.19.026429.
DOI
|
26 |
Scaife, A. A., N. Butchart, C. D. Warner, and R. Swinbank, 2002: Impact of a spectral gravity wave parameterization on the stratosphere in the Met Office Unified Model. J. Atmos. Sci., 59, 1473-1489.
DOI
|
27 |
Ridley, J. K., E. W. Blockley, A. B. Keen, J. G. L. Rae, A. E. West, and D. Schroeder, 2018: The sea ice model component of HadGEM3-GC3.1. Geosci. Model Dev., 11, 713-723, doi:10.5194/gmd-11-713-2018.
DOI
|
28 |
Large, W. G., and S. Yeager, 2004: Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies. NCAR Tech. No. NCAR/TN-460+STR, 105 pp.
|
29 |
Lee, H., P.-H. Chang, K. Kang, H.-S. Kang, and Y. Kim, 2018: Assessment of ocean surface current forecasts from high resolution Global Seasonal Forecast System version 5. Ocean Polar Res., 40, 99-114, doi: 10.4217/OPR.2018.40.3.099 (in Korean with English abstract).
DOI
|
30 |
Lee, S.-J., Y.-K. Hyun, S.-M. Lee, S.-O. Hwang, J. Lee, and K.-O. Boo, 2020: Prediction skill for East Asian summer monsoon indices in a KMA Global Seasonal Forecasting System (GloSea5). Atmosphere, 30, 293-309, doi:10.14191/Atmos.2020.30.3.293 (in Korean with English abstract).
DOI
|
31 |
Sanchez, C., K. D. Williams, and M. Collins, 2016: Improved stochastic physics schemes for global weather and climate models. Q. J. R. Meteorol. Soc., 142, 147-159, doi:10.1002/qj.2640.
DOI
|
32 |
Rodgers, K. B., and Coauthors, 2014: Strong sensitivity of Southern Ocean carbon uptake and nutrient cycling to wind stirring. Biogeosciences, 11, 4077-4098, doi: 10.5194/bg-11-4077-2014.
DOI
|
33 |
Rothman, L. S., and Coauthors, 2013: The HITRAN2012 molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transfer, 130, 4-50, doi:10.1016/j.jqsrt.2013.07.002.
DOI
|
34 |
Roullet, G., and G. Madec, 2000: Salt conservation, free surface, and varying levels: A new formulation for ocean general circulation models. J. Geophys. Res. Oceans, 105, 23927-23942, doi:10.1029/2000JC900089.
DOI
|
35 |
Smith, R. N. B., 1990: A scheme for predicting layer clouds and their water content in a general circulation model. Q. J. R. Meteorol. Soc., 116, 435-460.
DOI
|
36 |
Storkey, D., and Coauthors, 2018: UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions. Geosci. Model Dev., 11, 3187-3213, doi:10.5194/gmd-11-3187-2018.
DOI
|
37 |
Valcke, S., 2013: The OASIS3 coupler: a European climate modelling community software. Geosci. Model Dev., 6, 373-388, doi:10.5194/gmd-6-373-2013.
DOI
|
38 |
Xie, P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558.
DOI
|
39 |
Zerroukat, M., and T. Allen, 2015: On the monotonic and conservative transport on overset/Yin-Yang grids. J. Comput. Phys., 302, 285-299, doi:10.1016/j.jcp.2015.09.006.
DOI
|
40 |
UK Met Office, 2005: OSTIA L4 SST Analysis. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [2020-06-01] [Available online at https://doi.org/10.5067/GHOST4FK01].
|
41 |
Simmons, H. L., S. R. Jayne, L. C. S., Laurent, and A. J. Weaver, 2004: Tidally driven mixing in a numerical model of the ocean general circulation. Ocean Modelling, 6, 245-263.
DOI
|
42 |
Wilson, D. R., A. C. Bushell, A. M. Kerr-Munslow, J. D. Price, and C. J. Morcrette, 2008a: PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description. Q. J. R. Meteorol. Soc., 134, 2093-2107, doi: 10.1002/qj.333.
DOI
|
43 |
Edson, J. B., 2009: Review of air-sea transfer processes. Conf. Paper, ECMWF workshop on atmosphere-ocean interactions 2008, European Centre for Medium-Range Weather Forecasts, 7-24.
|
44 |
Walters, D. N., and Coauthors, 2011: The Met Office Unified Model global atmosphere 3.0/3.1 and JULES global land 3.0/3.1 configurations. Geosci. Model Dev., 4, 919-941, doi:10.5194/gmd-4-919-2011.
DOI
|
45 |
Walters, D. N., and Coauthors, 2019: The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations. Geosci. Model Dev., 12, 1909-1963.
DOI
|
46 |
Warner, C. D., and M. E. McIntyre, 2001: An ultrasimple spectral parameterization for nonorographic gravity waves. J. Atmos. Sci., 58, 1837-1857.
DOI
|
47 |
Williams, K. D., and Coauthors, 2015: The met office global coupled model 2.0 (GC2) configuration. Geosci. Model Dev., 8, 1509-1524, doi:10.5194/gmd-8-1509-2015.
DOI
|
48 |
Williams, K. D., and Coauthors, 2017: The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) configurations. J. Adv. Model. Earth Sys., 10, 357-380, doi:10.1002/2017MS001115.
DOI
|
49 |
Wilson, D. R., and S. P. Ballard, 1999: A microphysically based precipitation scheme for the UK Meteorological Office Unified Model. Q. J. R. Meteorol. Soc., 125, 1607-1636.
DOI
|
50 |
Wilson, D. R., A. C. Bushell, A. M. Kerr-Munslow, J. D. Price, and C. J. Morcrette, and A. BodasSalcedo, 2008b: PC2: A prognostic cloud fraction and condensation scheme. II: Climate model simulations. Q. J. R. Meteorol. Soc., 134, 2109-2125, doi:10.1002/qj.332.
DOI
|
51 |
Wood, N., and Coauthors, 2014: An inherently mass-conserving semi-implicit semi-Lagrangian discretization of the deep-atmosphere global non-hydrostatic equations. Q. J. R. Meteorol. Soc., 140, 1505-1520.
DOI
|
52 |
Prodhomme, C., F. Doblas-Reyes, O. Bellprat, and E. Dutra, 2016: Impact of land-surface initialization on sub-seasonal to seasonal forecasts over Europe. Climate Dyn., 47, 919-935, doi:10.1007/s00382-015-2879-4.
DOI
|
53 |
Bowler, N. E., A. Arribas, S. E. Beare, K. R. Mylne, and G. J. Shutts, 2009: The local ETKF and SKEB: upgrades to the MOGREPS short-range ensemble prediction system. Q. J. R. Meteorol. Soc., 135, 767-776.
DOI
|
54 |
Lim, S.-M., Y.-K. Hyun, H.-S. Kang, and S.-W. Yeh, 2018: Prediction skill of East Asian precipitation and temperature associated with El Nino in GloSea5 hindcast data. Atmosphere, 28, 37-51, doi:10.14191/Atmos.2018.28.1.037 (in Korean with English abstract).
DOI
|
55 |
Blockley, E. W., and Coauthors, 2014: Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts. Geosci. Model Dev., 7, 2613-2638, doi:10.5194/gmd-7-2613-2014.
DOI
|
56 |
Boutle, I. A., and S. J. Abel, 2012: Microphysical controls on the stratocumulus topped boundary-layer structure during VOCALS-Rex. Atmos. Chem. Phys., 12, 2849-2863, doi:10.5194/acp-12-2849-2012.
DOI
|
57 |
Brown, A., S. Milton, M. Cullen, B. Golding, J. Mitchell, and A. Shelly, 2012: Unified modeling and prediction of weather and climate: A 25-year journey. Bull. Amer. Meteor. Soc., 93, 1865-1877, doi:10.1175/BAMS-D-12-00018.1.
DOI
|
58 |
Derbyshire, S. H., A. V. Maidens, S. F. Milton, R. A. Stratton, and M. R. Willett, 2011: Adaptive detrainment in a convective parametrization. Q. J. R. Meteorol. Soc., 137, 1856-1871, doi:10.1002/qj.875.
DOI
|
59 |
Flocco, D., D. L. Feltham, and A. K. Turner, 2010: Incorporation of a physically based melt pond scheme into the sea ice component of a climate model. J. Geophys. Res. Oceans, 115, C08012, doi:10.1029/2009JC005568.
DOI
|
60 |
Tennant, W. J., G. J. Shutts, A. Arribas, and S. A. Thompson, 2011: Using a stochastic kinetic energy backscatter scheme to improve MOGREPS probabilistic forecast skill. Mon. Wea. Rev., 139, 1190-1206, doi:10.1175/2010MWR3430.1.
DOI
|
61 |
Gaspar, P., Y. Gregoris, and J. M. Lefevre, 1990: A simple eddy kinetic energy model for simulations of the oceanic vertical mixing: Tests at station Papa and longterm upper ocean study site. J. Geophys. Res. Oceans, 95, 16179-16193.
DOI
|
62 |
Gregory, D., and P. R. Rowntree, 1990: A mass flux convection scheme with representation of cloud ensemble characteristics and stability-dependent closure. Mon. Wea. Rev., 118, 1483-1506.
DOI
|
63 |
Hill, P. G., J. Manners, and J. C. Petch, 2011: Reducing noise associated with the Monte Carlo Independent Column Approximation for weather forecasting models. Q. J. R. Meteorol. Soc., 137, 219-228, doi:10.1002/qj.732.
DOI
|
64 |
Khairoutdinov, M., and Y. Kogan, 2000: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128, 229-243.
DOI
|
65 |
Edwards, J. M., and A. Slingo, 1996: Studies with a flexible new radiation code. I: Choosing a configuration for a largescale model. Q. J. R. Meteorol. Soc., 122, 689-719.
DOI
|
66 |
Field, P. R., A. A. Hill, K. Furtado, and A. Korolev, 2014: Mixed-phase clouds in a turbulent environment. Part 2: Analytic treatment. Q. J. R. Meteorol. Soc., 140, 870-880, doi:10.1002/qj.2175.
DOI
|
67 |
Grant, A. L. M., 2001: Cloud-base fluxes in the cumuluscapped boundary layer. Q. J. R. Meteorol. Soc., 127, 407-421.
DOI
|
68 |
Hersbach, H., and D. Dee, 2016: ERA5 reanalysis is in production. ECMWF Newslett., 147, 7.
|
69 |
Hill, P. G., C. J. Morcrette, and I. A. Boutle, 2015: A regimedependent parametrization of subgrid-scale cloud water content variability. Q. J. R. Meteorol. Soc., 141, 1975-1986, doi:10.1002/qj.2506.
DOI
|
70 |
Hirsch, A. L., J. Kala, A. J. Pitman, C. Carouge, J. P. Evans, V. Haverd, and D. Mocko, 2014: Impact of land surface initialization approach on subseasonal forecast skill: A regional analysis in the Southern Hemisphere. J. Hydrometeor., 15, 300-319, doi:10.1175/JHM-D13-05.1.
DOI
|
71 |
Gregory, D., and S. Allen, 1991: The effect of convective scale downdraughts upon NWP and climate simulations. 9th conference on numerical weather prediction, Denver, Colorado, Amer. Meteor. Soc., 122-123.
|
72 |
Larson, J., R. Jacob, and E. Ong, 2005: The Model Coupling Toolkit: A new fortran90 toolkit for building multiphysics parallel coupled models. Int. J. High Perf. Comp. App., 19, 277-292.
DOI
|
73 |
Hollingsworth, A., P. Kallberg, V. Renner, and D. M. Burridge, 1983: An internal symmetric computational instability. Q. J. R. Meteorol. Soc., 109, 417-428, doi:10.1002/qj.49710946012.
DOI
|