Snow-albedo feedback and the spring transition in a regional climate system model: Influence of land surface model

Abstract. The CSIRO Mk3L climate system model, a reduced-resolution coupled general circulation model, has previously been described in this journal. The model is configured for millennium scale or multiple century scale simulations. This paper reports the impact of replacing the relatively simple land surface scheme that is the default parameterisation in Mk3L with a sophisticated land surface model that simulates the terrestrial energy, water and carbon balance in a physically and biologically consistent way. An evaluation of the new model's near-surface climatology highlights strengths and weaknesses, but overall the atmospheric variables, including the near-surface air temperature and precipitation, are simulated well. The impact of the more sophisticated land surface model on existing variables is relatively small, but generally positive. More significantly, the new land surface scheme allows an examination of surface carbon-related quantities including net primary productivity which adds significantly to the capacity of Mk3L. Overall, results demonstrate that this reduced-resolution climate model is a good foundation for exploring long time scale phenomena. The addition of the more sophisticated land surface model enables an exploration of important Earth System questions including land cover change and abrupt changes in terrestrial carbon storage.

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Coupling of the land surface model CAS-LSM with the climate system model CAS-FGOALS-g3

10.1002/essoar.10503119.1 ◽

2020 ◽

Author(s):

Zhenghui Xie ◽

Jinbo Xie ◽

Binghao Jia ◽

Peihua Qin ◽

Bin Liu ◽

...

Keyword(s):

Land Surface ◽

Land Surface Model ◽

Climate System ◽

System Model ◽

Surface Model ◽

Climate System Model

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The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: evaluation of the control climatology

Geoscientific Model Development Discussions ◽

10.5194/gmdd-4-1611-2011 ◽

2011 ◽

Vol 4 (3) ◽

pp. 1611-1642 ◽

Cited By ~ 2

Author(s):

J. Mao ◽

S. J. Phipps ◽

A. J. Pitman ◽

Y. P. Wang ◽

G. Abramowitz ◽

...

Keyword(s):

Land Surface ◽

Land Surface Model ◽

Climate System ◽

System Model ◽

Surface Model ◽

Climate System Model ◽

Near Surface ◽

Land Surface Scheme ◽

Surface Scheme ◽

The Impact

Abstract. The CSIRO Mk3L climate system model, a reduced-resolution coupled general circulation model, has previously been described in this journal. The model is configured for millennium scale or multiple century scale simulations. This paper reports the impact of replacing the relatively simple land surface scheme that is the default parameterisation in Mk3L with a sophisticated land surface model that simulates the terrestrial energy, water and carbon balance in a physically and biologically consistent way. An evaluation of the new model's near-surface climatology highlights strengths and weaknesses, but overall the atmospheric variables, including the near-surface air temperature and precipitation, are simulated well. The impact of the more sophisticated land surface model on existing variables is relatively small, but generally positive. More significantly, the new land surface scheme allows an examination of surface carbon-related quantities including net primary productivity which adds significantly to the capacity of Mk3L. Overall, results demonstrate that this reduced-resolution climate model is a good foundation for exploring long time scale phenomena. The addition of the more sophisticated land surface model enables an exploration of important Earth System questions including land cover change and abrupt changes in terrestrial carbon storage.

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Coupling of the CAS‐LSM land‐surface model with the CAS‐FGOALS‐g3 climate system model

Journal of Advances in Modeling Earth Systems ◽

10.1029/2020ms002171 ◽

2020 ◽

Author(s):

Jinbo Xie ◽

Zhenghui Xie ◽

Binghao Jia ◽

Peihua Qin ◽

Bin Liu ◽

...

Keyword(s):

Land Surface ◽

Land Surface Model ◽

Climate System ◽

System Model ◽

Surface Model ◽

Climate System Model

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Mechanisms of heat storage and trend in the Mediterranean Sea in a high emission CMIP6 scenario with the regional climate system model CNRM-RCSM6.

10.5194/egusphere-egu21-8787 ◽

2021 ◽

Author(s):

Florence Sevault ◽

Robin Waldman ◽

Samuel Somot ◽

Pierre Nabat

Keyword(s):

Mediterranean Sea ◽

Heat Storage ◽

Regional Climate ◽

Climate System ◽

Coupled Systems ◽

System Model ◽

Surface Model ◽

Climate Modelling ◽

Climate System Model ◽

The Mediterranean

The Earth&#8217;s climate is regulated by the ocean, which absorbs, transports and releases heat through continuous exchanges with the atmosphere. In regional climate modelling, an increasing consensus has emerged on the added value of ocean-atmosphere coupled systems to allow for these exchanges, through interactive and realistic air-sea interactions. This coupling is controlled by the Sea Surface Temperature (SST), itself regulated by the capacity for the ocean component to store heat at depth. We address here the question of heat storage and trend in the different depths of the Mediterranean Sea in a CMIP6 historical and SSP5-8.5 scenario with the Regional Climate System Model CNRM-RCSM6 driven by CNRM-ESM2-1 simulation. CNRM-RCSM6 is composed by ALADIN-Climate at a 12 km resolution for the atmosphere, with the interactive aerosol scheme TACTIC and the multi-surface model SURFEX v8, CTRIP at a 50 km resolution for the river routing with deep drainage, flood plains, and the lake parametrization FLAKE, NEMOMED12 at a 6 km resolution for the ocean, and OASIS3-MCT for a 1hr-coupling of the four models. The simulation begins in 1979 after 79 years of coupled spin-up, and a control simulation also exists. We investigate the timing, location and magnitude of heat storage by the Mediterranean Sea. In particular, we assess the link between SST warming and vertical heat storage, and its possible seasonality. We illustrate the sensitivity of heat storage to salinity trends by comparing the western and eastern Mediterranean behaviours. Finally, we make use of an online heat trend diagnostic tool to characterize the dominant mechanisms of ocean heat storage in the Mediterranean Sea.

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A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model

Annals of Glaciology ◽

10.3189/s0260305500013914 ◽

1997 ◽

Vol 25 ◽

pp. 127-131

Author(s):

Amanda Lynch ◽

David McGinnis ◽

William L. Chapman ◽

Jeffrey S. Tilley

Keyword(s):

Regional Climate Model ◽

Land Surface ◽

Climate Model ◽

Regional Climate ◽

Climate System ◽

System Model ◽

Small Scale ◽

Land Surface Models ◽

Climate System Model ◽

Surface Models

Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initial results demonstrate broad agreement between all models; however, small-scale regional variations between land-surface models indicate the strengths and weaknesses of the land-surface treatments in a climate system model. Specifically, we found that the greater surface-moisture availability and temperature-dependent albedo formulation of the LSM model allow for a higher proportion of low-level cloud, and a later, more rapid transition from the winter to the summer regime. Crucial to this transition is the seasonal cycle of incoming solar radiation. These preliminary results indicate the importance of the land-surface hydrologic cycle in modelling the seasonal transitions.

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A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model

Annals of Glaciology ◽

10.1017/s0260305500013914 ◽

1997 ◽

Vol 25 ◽

pp. 127-131

Author(s):

Amanda Lynch ◽

David McGinnis ◽

William L. Chapman ◽

Jeffrey S. Tilley

Keyword(s):

Regional Climate Model ◽

Land Surface ◽

Climate Model ◽

Regional Climate ◽

Climate System ◽

System Model ◽

Small Scale ◽

Land Surface Models ◽

Climate System Model ◽

Surface Models

Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initial results demonstrate broad agreement between all models; however, small-scale regional variations between land-surface models indicate the strengths and weaknesses of the land-surface treatments in a climate system model. Specifically, we found that the greater surface-moisture availability and temperature-dependent albedo formulation of the LSM model allow for a higher proportion of low-level cloud, and a later, more rapid transition from the winter to the summer regime. Crucial to this transition is the seasonal cycle of incoming solar radiation. These preliminary results indicate the importance of the land-surface hydrologic cycle in modelling the seasonal transitions.

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The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations

Geoscientific Model Development ◽

10.5194/gmd-7-361-2014 ◽

2014 ◽

Vol 7 (1) ◽

pp. 361-386 ◽

Cited By ~ 121

Author(s):

D. N. Walters ◽

K. D. Williams ◽

I. A. Boutle ◽

A. C. Bushell ◽

J. M. Edwards ◽

...

Keyword(s):

Land Surface ◽

Weather Prediction ◽

Regional Climate ◽

Land Surface Model ◽

Unified Model ◽

Surface Model ◽

Development Cycle ◽

Global Land ◽

Overall Performance ◽

Ongoing Development

Abstract. We describe Global Atmosphere 4.0 (GA4.0) and Global Land 4.0 (GL4.0): configurations of the Met Office Unified Model and JULES (Joint UK Land Environment Simulator) community land surface model developed for use in global and regional climate research and weather prediction activities. GA4.0 and GL4.0 are based on the previous GA3.0 and GL3.0 configurations, with the inclusion of developments made by the Met Office and its collaborators during its annual development cycle. This paper provides a comprehensive technical and scientific description of GA4.0 and GL4.0 as well as details of how these differ from their predecessors. We also present the results of some initial evaluations of their performance. Overall, performance is comparable with that of GA3.0/GL3.0; the updated configurations include improvements to the science of several parametrisation schemes, however, and will form a baseline for further ongoing development.

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A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980–2012 period

Tellus A Dynamic Meteorology and Oceanography ◽

10.3402/tellusa.v66.23967 ◽

2014 ◽

Vol 66 (1) ◽

pp. 23967 ◽

Cited By ~ 49

Author(s):

Florence Sevault ◽

Samuel Somot ◽

Antoinette Alias ◽

Clotilde Dubois ◽

Cindy Lebeaupin-Brossier ◽

...

Keyword(s):

Regional Climate ◽

Climate System ◽

System Model ◽

Model Design ◽

Climate System Model ◽

System Model Design ◽

Fully Coupled

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Evaluation of Temperature Simulation over Northern Thailand from Regional Climate Model Coupled with Land Surface Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.866.108 ◽

2017 ◽

Vol 866 ◽

pp. 108-111

Author(s):

Theerapan Saesong ◽

Pakpoom Ratjiranukool ◽

Sujittra Ratjiranukool

Keyword(s):

Regional Climate Model ◽

Land Surface ◽

Climate Model ◽

Global Analysis ◽

Regional Climate ◽

Land Surface Model ◽

Analysis Data ◽

Surface Model ◽

Northern Thailand ◽

Weather Model

Numerical Weather Model called The Weather Research and Forecasting model, WRF, developed by National Center for Atmospheric Research (NCAR) is adapted to be regional climate model. The model is run to perform the daily mean air surface temperatures over northern Thailand in 2010. Boundery dataset provided by National Centers for Environmental Prediction, NCEP FNL, (Final) Operational Global Analysis data which are on 10 x 10. The simulated temperatures by WRF with four land surface options, i.e., no land surface scheme (option 0), thermal diffusion (option 1), Noah land-surface (option 2) and RUC land-surface (option 3) were compared against observational data from Thai Meteorological Department (TMD). Preliminary analysis indicated WRF simulations with Noah scheme were able to reproduce the most reliable daily mean temperatures over northern Thailand.

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