MIROC MIROC6 model output prepared for CMIP6 CMIP historical

Tatebe, Hiroaki; Watanabe, Masahiro

doi:10.22033/esgf/cmip6.5603

Cited by 36 publications

(7 citation statements)

References 9 publications

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“…For ecomodelling, we exploited resources of WorldClim 2 [46,47] such as "Historical climate data" (19 standard annually averaged bioclimatic variables and 12 monthly averaged variables for solar radiation for 1970-2000 at the 30 arcsecond spatial resolution) and "Future climate data" (19 standard averaged bioclimatic variables for 2021-2040 downscaled from two global climate models [47], namely CNRM-ESM2-1 (Centre National de Recherches Meteorologiques and Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, France) [48,49] and MIROC6 (Japan Agency for Marine-Earth Science and Technology, Atmosphere and Ocean Research Institute, The University of Tokyo, National Institute for Environmental Studies, and RIKEN Center for Computational Science, Japan) [50,51], at the 2.5 arcminute spatial resolution and for the 3-7.0 Shared Socioeconomic Pathway based on high greenhouse gas emissions [52]).…”

Section: Discussionmentioning

confidence: 99%

The Handsome Cross Grasshopper Oedaleus decorus (Germar, 1825) (Orthoptera: Acrididae) as a Neglected Pest in the South-Eastern Part of West Siberian Plain

Popova

Baturina

Молодцов

et al. 2022

Insects

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Oedaleus decorus is a widely distributed acridid over the Eurasian semi-arid territories, from the Atlantic coast to the Pacific coast. In many semi-arid territories, O. decorus was and is the most important pest, but in the south-eastern part of West Siberian Plain, it was not considered a pest until the 1960s. We compared two sets of data on the acridid distribution in the region: before 1960 and from 1961 until 2021. Until the 1960s, the species occurred mainly in the southern steppes. Since the 1960s, its distribution changed significantly. Nowadays, it occupies almost all local steppes and the southern part of the forest-steppes and can be also found on the eastern side of the Ob River. These shifts may be explained by both climatic changes and changes in human activities. During upsurges the densities of O. decorus were often more than one to two adults per square meter. It is often abundant in the same habitats and in the same periods as the Italian locust (Calliptamus italicus)—one of the most important acridid pests. This means during joint outbreaks these two species can simultaneously damage almost all spectrum of plants.

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Section: Discussionmentioning

confidence: 99%

The Handsome Cross Grasshopper Oedaleus decorus (Germar, 1825) (Orthoptera: Acrididae) as a Neglected Pest in the South-Eastern Part of West Siberian Plain

Popova

Baturina

Молодцов

et al. 2022

Insects

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“…The experiments used in this study are summarized in table 1. The HIST is a MIROC6 unassimilated experiment with a set of external forcing recommended by the Coupled Model Intercomparison Project Phase 6 (CMIP6; Eyring et al 2016) (Tatebe and Watanabe 2018). The SICF.OTSA is a MIROC6 assimilation experiment performed under the Decadal Climate Prediction Project (Kataoka et al 2020).…”

Section: Model and Experimental Designsmentioning

confidence: 99%

“…The results of these experiments were then compared with those of two previous HIST and SICF.OTSA experiments. (Tatebe and Watanabe 2018), SICF: sea-ice concentration full assimilation, SICF.OTSA: sea-ice concentration full assimilation and Ocean Temperature and salinity anomalies assimilation (Kataoka et al 2020), SICF.WIND: sea-ice concentration full assimilation with WIND-constrained sea-ice momentum, SICF.OTSA.WIND: sea-ice concentration full assimilation and Ocean Temperature and salinity anomalies assimilation with WIND-constrained sea-ice momentum. T: ocean temperature anomaly, S: ocean salinity anomaly, SIC: sea-ice concentration, WIND: diagnosed wind stress.…”

Section: Model and Experimental Designsmentioning

confidence: 99%

Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model

Ono,

Komuro,

Tatebe

et al. 2024

Environ. Res.: Climate

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Initialization of sea ice and the upper halocline in the Arctic Ocean is crucial for sea-ice prediction, but their representation in climate models still remains biased. Here, using historical and four different simulations by a single climate model, we find that constraining the sea-ice momentum by surface wind stress contributes to a better representation of the sea-ice velocity, area, and concentration. Moreover, the wind-constrained sea-ice drift modifies the underlying ocean structure via ice-ocean stress, leading to an improved climatological halocline’s vertical structure in the Canada Basin. This is because the excessively represented negative wind and ice-ocean stress curl in the climate model is weakened when constraining the sea-ice momentum and consequently the downward vertical speed, including the Ekman pumping, is also weakened at depths of 0–500 m, alleviating the deepening of isohalines. From these results, the improvement of sea-ice and ocean states by constraining sea-ice momentum is expected to make sea-ice prediction more accurate.

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“…It is noted that the CESM2 LE consists of two 50member subsets, i.e., the version with normal CMIP6 forcing and the other with smoothed biomass burning emissions 27 , indicating that the forcing is not consistent across the CESM2 LE in a strict sense 15 . Given the large intermodel spread, coupled model simulation output for MIROC6 47 and IPSL-CM6A-LR 48 was analyzed together with the CESM2 LE. We also used corresponding CMIP6 atmosphere-only model simulations integrated with prescribed historical SSTs and external forcings, i.e., Atmosphere Model Intercomparison Project (AMIP), to examine the role of observed SST changes in the model-observation discrepancies in TTT trends over the period 1979-2014.…”

Section: Model Simulation Outputmentioning

confidence: 99%

Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates

Chung,

Kim,

Sohn

et al. 2024

Commun Earth Environ

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Most coupled model simulations substantially overestimate tropical tropospheric warming trends over the satellite era, undermining the reliability of model-projected future climate change. Here we show that the model-observation discrepancy over the satellite era has arisen in large part from multi-decadal climate variability and residual biases in the satellite record. Analyses indicate that although the discrepancy is closely linked to multi-decadal variability in the tropical Pacific sea surface temperatures, the overestimation remains over the satellite era in model simulations forced by observed time-varying sea surface temperatures with a La Niña-like pattern. Regarding moist thermodynamic processes governing tropical tropospheric warming, however, we find a broad model-observation consistency over a post-war period, suggesting that residual biases in the satellite record may contribute to model-observation discrepancy. These results underscore the importance of sustaining an accurate long-term observing system as well as constraining the model representation of tropical Pacific sea surface temperature change and variability.

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MIROC MIROC6 model output prepared for CMIP6 CMIP historical

Cited by 36 publications

References 9 publications

The Handsome Cross Grasshopper Oedaleus decorus (Germar, 1825) (Orthoptera: Acrididae) as a Neglected Pest in the South-Eastern Part of West Siberian Plain

The Handsome Cross Grasshopper Oedaleus decorus (Germar, 1825) (Orthoptera: Acrididae) as a Neglected Pest in the South-Eastern Part of West Siberian Plain

Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model

Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates

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