An idealized protocol to assess the nesting procedure in regional climate modelling

• Published in: International journal of climatology 2021-02, Vol.41 (2), p.1246-1263
• Main Authors: Li, Shan, Li, Laurent, Le Treut, Hervé
• Format: Article
• Language: English
• Subjects: Aquatic reptiles; Atmospheric circulation; Atmospheric circulation models; Atmospheric General Circulation Models; Circulation; Climate; climate downscaling; Domains; Finite element method; General circulation models; Global climate; Global climate models; Grid refinement (mathematics); master/slave protocol; model biases; Modelling; Nesting; nesting procedure; Ocean, Atmosphere; Parameterization; Procedures; regional climate model; Regional climate models; Regional climates; Sciences of the Universe; Summer circulation; synoptic sequence; Variability; Weather forecasting; Winter circulation
• ISSN: 0899-8418; 1097-0088
• DOI: 10.1002/joc.6801

Newtonian relaxation applied at boundaries of RCM (regional climate model) is a widely‐used technique for climate downscaling and regional weather forecasting. It allows RCM to be nested into GCM (global climate model) and to follow the evolution of the latter. An idealized framework to mimic this general practice is constructed with the LMDZ (Laboratoire de Météorologie Dynamique, Zoom) modelling platform and used to assess effects of the relaxation procedure. The assessment is on both synoptic variability and long‐term mean. LMDZ is a global atmospheric general circulation model that can be configured as a regional model when the outside domain is relaxed to a driver. It thus plays the role of both GCM and RCM. Same physical parameterization and identical dynamical configuration are used to ensure a rigorous comparison between the two models. The experimental set‐up that can be referred to as “Master (GCM) versus Slave (RCM)” considers GCM as the reference to assess the behaviour of RCM. In terms of mean climate, there are noticeable differences, not only in the border areas, but also within the domain. In terms of synoptic variability, there is a general spatial resemblance and temporal concomitance between the two models. But there is a dependence on variables, seasons, spatiotemporal scales and spatial modes of atmospheric circulation. Winter/Summer has the most/least resemblance between RCM and GCM. A better similarity occurs when atmospheric circulation manifests at large scales. Weak‐correlation cases are generally remarked when the dominant circulation of the region is at smaller scales. A further experiment with identical framework but RCM in a higher resolution allows isolating the effect of relaxation from that of mesh refinement. Nesting an RCM (regional climate model) into a GCM (global climate model) is generally realized through a relaxation applied at boundaries of the RCM. This procedure of using GCM as a driver to nudge RCM may produce climate deteriorations and biases. The present work elaborates an idealized protocol to assess the uncertainty and performance of the nesting procedure for both long‐term mean climate (illustrated here for seasonal‐mean T2m drifts) and concomitance of synoptic sequences between the RCM and GCM.