A 20-Year Climatology of a NICAM AMIP-Type Simulation

Kodama, Chihiro; Yamada, Yohei; Noda, Akira; Kikuchi, Kimiyo; Kajikawa, Yoshiyuki; Nasuno, Tomoe; Tomita, Tomohiko; Yamaura, Tsuyoshi; Takahashi, Hiroshi G.; Hara, Masayuki; Kawatani, Yoshio; Satoh, Masaki; Sugi, Masato

doi:10.2151/jmsj.2015-024

Cited by 120 publications

(194 citation statements)

References 122 publications

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“…The horizontal resolution of MIROC4h is approximately 0.5625 • × 0.5625 • , which is close to the level of RCM dynamical downscaling methods Wang and Yu, 2013a). In the AMIP (Atmospheric Model Intercomparison Project), some models have a horizontal resolution less than 50 km, e.g., MRI-AGCM (Mizuta et al, 2012) and NICAM [Nonhydrostatic Icosahedral Atmospheric Model (Kodama et al, 2015)]. Thus, the question arises as to whether these veryfine-resolution GCMs (VFRGCMs) threaten the advantage of high-resolution RCM dynamical downscaling.…”

Section: Introductionmentioning

confidence: 65%

Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China

Guo

Wang

2016

Adv. Atmos. Sci.

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Regional climate simulation can generally be improved by using an RCM nested within a coarser-resolution GCM. However, whether or not it can also be improved by the direct use of a state-of-the-art GCM with very fine resolution, close to that of an RCM, and, if so, which is the better approach, are open questions. These questions are important for understanding and using these two kinds of simulation approaches, but have not yet been investigated. Accordingly, the present reported work compared simulation results over China from a very-fine-resolution GCM (VFRGCM) and from RCM dynamical downscaling. The results showed that: (1) The VFRGCM reproduces the climatologies and trends of both air temperature and precipitation, as well as inter-monthly variations of air temperature in terms of spatial pattern and amount, closer to observations than the coarse-resolution version of the GCM. This is not the case, however, for the inter-monthly variations of precipitation. (2) The VFRGCM captures the climatology, trend, and inter-monthly variation of air temperature, as well as the trend in precipitation, more reasonably than the RCM dynamical downscaling method. (3) The RCM dynamical downscaling method performs better than the VFRGCM in terms of the climatology and inter-monthly variation of precipitation. Overall, the results suggest that VFRGCMs possess great potential with regard to their application in climate simulation in the future, and the RCM dynamical downscaling method is still dominant in terms of regional precipitation simulation.

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Section: Introductionmentioning

confidence: 65%

Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China

Guo

Wang

2016

Adv. Atmos. Sci.

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“…There is mounting evidence from many modeling studies that atmosphere resolutions at 50 km or finer skillfully represent the interannual variability of tropical cyclones (Zhao et al 2009;Manganello et al 2012;Roberts et al 2015;Kodama et al 2015). In the Atlantic, much of this improvement can be attributed to better global teleconnections (from El Niño; e.g., Bell et al 2014) providing a constraint on the environment and improved dynamical precursor features such as African easterly waves (AEWs).…”

Section: The Global Hydrological Cyclementioning

confidence: 99%

The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale

Roberts

Vidale

Senior

et al. 2018

Bulletin of the American Meteorological Society

128

107

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The time scales of the Paris Climate Agreement indicate urgent action is required on climate policies over the next few decades, in order to avoid the worst risks posed by climate change. On these relatively short time scales the combined effect of climate variability and change are both key drivers of extreme events, with decadal time scales also important for infrastructure planning. Hence, in order to assess climate risk on such time scales, we require climate models to be able to represent key aspects of both internally driven climate variability and the response to changing forcings. In this paper we argue that we now have the modeling capability to address these requirements—specifically with global models having horizontal resolutions considerably enhanced from those typically used in previous Intergovernmental Panel on Climate Change (IPCC) and Coupled Model Intercomparison Project (CMIP) exercises. The improved representation of weather and climate processes in such models underpins our enhanced confidence in predictions and projections, as well as providing improved forcing to regional models, which are better able to represent local-scale extremes (such as convective precipitation). We choose the global water cycle as an illustrative example because it is governed by a chain of processes for which there is growing evidence of the benefits of higher resolution. At the same time it comprises key processes involved in many of the expected future climate extremes (e.g., flooding, drought, tropical and midlatitude storms).

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“…The integration was performed for 20 years for the experiments with the present and future conditions (hereafter, referred to CTL and GW, respectively). The integration period is from June 1978 to May 1998 for the CTL experiment (Kodama et al 2015).…”

Section: Model and Experimentsmentioning

confidence: 99%

Constraint on Future Change in Global Frequency of Tropical Cyclones due to Global Warming

Satoh

Yamada

Sugi³

et al. 2015

Journal of the Meteorological Society of Japan

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A 20-Year Climatology of a NICAM AMIP-Type Simulation

Cited by 120 publications

References 122 publications

Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China

Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China

The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale

Constraint on Future Change in Global Frequency of Tropical Cyclones due to Global Warming

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