Hiroaki Tatebe

ORCID: 0000-0002-2265-5847
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Oceanographic and Atmospheric Processes
  • Arctic and Antarctic ice dynamics
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Methane Hydrates and Related Phenomena
  • Tropical and Extratropical Cyclones Research
  • Climate change and permafrost
  • Marine and coastal ecosystems
  • Atmospheric Ozone and Climate
  • Geology and Paleoclimatology Research
  • Geophysics and Gravity Measurements
  • Ocean Waves and Remote Sensing
  • Cryospheric studies and observations
  • Climate Change Policy and Economics
  • Medical Imaging Techniques and Applications
  • Geological Studies and Exploration
  • Nuclear Physics and Applications
  • Atomic and Subatomic Physics Research
  • Ocean Acidification Effects and Responses
  • Atmospheric chemistry and aerosols
  • Protein Tyrosine Phosphatases
  • Coastal and Marine Dynamics
  • Radiation Detection and Scintillator Technologies
  • Hydrocarbon exploration and reservoir analysis

Japan Agency for Marine-Earth Science and Technology
2015-2024

The University of Tokyo
2005-2010

Abstract A new version of the atmosphere–ocean general circulation model cooperatively produced by Japanese research community, known as Model for Interdisciplinary Research on Climate (MIROC), has recently been developed. century-long control experiment was performed using (MIROC5) with standard resolution T85 atmosphere and 1° ocean models. The climatological mean state variability are then compared observations those in a previous (MIROC3.2) two different resolutions (medres, hires),...

10.1175/2010jcli3679.1 article EN Journal of Climate 2010-12-01

Abstract. The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community. In present paper, simulated mean climate, internal climate variability, and sensitivity in MIROC6 are evaluated briefly summarized comparison with previous our model (MIROC5) observations. results show that overall reproducibility variability is better than MIROC5. tropical systems (e.g., summertime precipitation western...

10.5194/gmd-12-2727-2019 article EN cc-by Geoscientific model development 2019-07-08

Abstract. This article describes the new Earth system model (ESM), Model for Interdisciplinary Research on Climate, System version 2 Long-term simulations (MIROC-ES2L), using a state-of-the-art climate as physical core. embeds terrestrial biogeochemical component with explicit carbon–nitrogen interaction to account soil nutrient control plant growth and land carbon sink. The model's ocean is largely updated simulate cycles of carbon, nitrogen, phosphorus, iron, oxygen such that oceanic...

10.5194/gmd-13-2197-2020 article EN cc-by Geoscientific model development 2020-05-13

Abstract. The Scenario Model Intercomparison Project (ScenarioMIP) defines and coordinates the main set of future climate projections, based on concentration-driven simulations, within Coupled phase 6 (CMIP6). This paper presents a range its outcomes by synthesizing results from participating global coupled Earth system models. We limit our scope to analysis strictly geophysical outcomes: mainly averages spatial patterns change for surface air temperature precipitation. also compare CMIP6...

10.5194/esd-12-253-2021 article EN cc-by Earth System Dynamics 2021-03-01

Abstract. We present a new framework for global ocean–sea-ice model simulations based on phase 2 of the Ocean Model Intercomparison Project (OMIP-2), making use surface dataset Japanese 55-year atmospheric reanalysis driving models (JRA55-do). motivate OMIP-2 over first OMIP (OMIP-1), previously referred to as Coordinated Ocean–ice Reference Experiments (COREs), via evaluation OMIP-1 and from 11 state-of-the-science models. In evaluation, multi-model ensemble means spreads are calculated...

10.5194/gmd-13-3643-2020 article EN cc-by Geoscientific model development 2020-08-21

Abstract As climate change accelerates, societies and climate-sensitive socioeconomic sectors cannot continue to rely on the past as a guide possible future hazards. Operational decadal predictions offer potential inform current adaptation increase resilience by filling important gap between seasonal forecasts projections. The World Meteorological Organization (WMO) has recognized this in 2017 established WMO Lead Centre for Annual Decadal Climate Predictions (shortened “Lead Centre” below),...

10.1175/bams-d-20-0311.1 article EN Bulletin of the American Meteorological Society 2022-04-01

Decadal-scale climate variations over the Pacific Ocean and its surroundings are strongly related to so-called decadal oscillation (PDO) which is coherent with wintertime North America Asian monsoon, have important impacts on marine ecosystems fisheries. In a near-term prediction covering period up 2030, we require knowledge of future state internal in system such as PDO well global warming signal. We perform sets ensemble hindcast forecast experiments using coupled atmosphere-ocean model...

10.1073/pnas.0906531107 article EN Proceedings of the National Academy of Sciences 2010-01-11

A new high-resolution atmosphere-ocean coupled general circulation model named MIROC4h has been developed, and its performance in a 120-year control experiment (including 50-year spin-up) under the present conditions (the year 1950) is examined. The results of by are compared with simulations preindustrial carried out for Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) using previous high- medium-resolution versions model, called MIROC3h MIROC3m, respectively....

10.2151/jmsj.2012-301 article EN Journal of the Meteorological Society of Japan Ser II 2012-01-01

The interdecadal basin-wide warming and cooling cycle of the North Atlantic Ocean, known as multidecadal variability (AMV), influences not only Euro-Atlantic climatic conditions, but also tropical storms monsoons remotely. However, controversy still remains on relative importance external forcing internal processes for past AMV. Here, we use three attribution experiments, consisting five-member ensemble each, 1931–2014 by a climate model show that temporal variation observed AMV can be...

10.1007/s00382-019-04811-3 article EN cc-by Climate Dynamics 2019-05-13

Decadal climate predictability is examined in hindcast experiments by a multi-model ensemble using three versions of the coupled atmosphere-ocean model MIROC. In these experiments, initial conditions are obtained from an anomaly assimilation procedure observed oceanic temperature and salinity with prescribed natural anthropogenic forcings on basis historical data future emission scenarios Intergovernmental Panel Climate Change. Results our show that surface air (SAT) anomalies decadal...

10.1007/s00382-012-1351-y article EN cc-by Climate Dynamics 2012-04-05

Abstract. The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community. In present manuscript, simulated mean climate, internal climate variability, and sensitivity in MIROC6 are evaluated briefly summarized comparison with previous our model (MIROC5) observations. results show that overall reproducibility variability is better than MIROC5. tropical systems (e.g., summertime precipitation western...

10.5194/gmd-2018-155 preprint EN cc-by 2018-07-16

Abstract. The Scenario Model Intercomparison Project (ScenarioMIP) defines and coordinates the primary future climate projections within Coupled Phase 6 (CMIP6). This paper presents a range of its outcomes by synthesizing results from participating global coupled Earth system models for concentration driven simulations. We limit our scope to analysis strictly geophysical outcomes: mainly averages spatial patterns change surface air temperature precipitation. also compare CMIP6 CMIP5 results,...

10.5194/esd-2020-68 preprint EN cc-by 2020-09-16

Abstract The present paper presents results of seasonal‐to‐decadal climate predictions based on a coupled model called the Model for Interdisciplinary Research Climate version 6 (MIROC6) contributing to Coupled Intercomparison Project Phase (CMIP6). MIROC6 is initialized every year 1960–2018 by assimilating observed ocean temperature and salinity anomalies full fields sea ice concentration prescribing atmospheric initial states from reanalysis data. impacts updating system prediction skill...

10.1029/2019ms002035 article EN cc-by Journal of Advances in Modeling Earth Systems 2020-10-30

Abstract. Following the protocol of fourth phase Paleoclimate Modelling Intercomparison Project (PMIP4), we performed numerical experiments targeting distinctive past time periods using Model for Interdisciplinary Research on Climate, Earth System version 2 Long-term simulations (MIROC-ES2L), which is an system model. Setup and basic performance are presented. The Last Glacial Maximum was one most extreme climate states during Quaternary conducting modeling this period has long been a...

10.5194/gmd-14-1195-2021 article EN cc-by Geoscientific model development 2021-03-02

Abstract The Arctic region has warmed faster than the global mean in past decades. Future climate change projections also suggest this warming amplification will continue. Here, using 50-member historical and future scenario simulations by a single model, we find that is stronger low-emission scenario, compared to high-emission after mid-2040s. This because sea ice continues exist beyond 2040 ice-albedo feedback therefore maintains warming, unlike other latitudes. By contrast, summer melts...

10.1038/s43247-022-00354-4 article EN cc-by Communications Earth & Environment 2022-02-25

Abstract. Single model initial-condition large ensembles (LEs) are a useful approach to understand roles of forced responses and internal variability in historical future climate change. Here, we produce one the largest thus far using MIROC6 coupled atmosphere-ocean global (MIROC6-LE). The total experimental period MIROC6-LE is longer than 76000 years. consists long preindustrial control run, 50-member simulations, 8 single forcing experiments with 10 or 50 members, 5 scenario members 3...

10.5194/esd-2023-12 preprint EN cc-by 2023-04-25

Abstract. Single model initial-condition large ensembles (LEs) are a useful approach to understand the roles of forced responses and internal variability in historical future climate change. Here, we produce one largest thus far using MIROC6 coupled atmosphere–ocean global (MIROC6-LE). The total experimental period MIROC6-LE is longer than 76 000 years. consists long preindustrial control run, 50-member simulations, 8 single forcing experiments with 10 or 50 members, 5 scenario members 3...

10.5194/esd-14-1107-2023 article EN cc-by Earth System Dynamics 2023-11-07

Bi‐decadal climate variation is dominant over the North Pacific on inter‐decadal timescale; however mechanism has not been fully understood. We here find that bi‐decadal variations in and intermediate waters possibly relate to 18.6‐year period modulation of diurnal tide. In strong tide, tide‐induced diapycnal mixing makes surface salinity density higher upper‐layer shallower along Kuril Islands east coast Japan. Simple model results suggest coastal depth adjustment by baroclinic Kelvin waves...

10.1029/2005gl025237 article EN Geophysical Research Letters 2006-04-01

This paper documents the procedure of ocean data assimilation that initializes climate models MIROC3m, MIROC4h, and MIROC5 for decadal predictions following CMIP5 protocol, summarizes performance using this assimilation. Only anomalies observed hydrographic are assimilated incremental analysis update method in order to prevent model drifts during predictions. In case which has an eddy-permitting model, a spatial smoother is used calculating increments so oceanic mesoscale eddies cannot be...

10.2151/jmsj.2012-a14 article EN Journal of the Meteorological Society of Japan Ser II 2012-01-01

In line with the experimental design for near-term climate prediction toward 5th Assessment Report of Intergovernmental Panel on Climate Change (IPCC-AR5) and Coupled Model Intercomparison Project Phase 5 (CMIP5), we perform ensembles initialized decadal hindcast experiments using two recent versions Interdisciplinary Research On (MIROC): MIROC4h (T213L56 AGCM 1/6-1/4 deg. 48 level OGCM) MIROC5 (T85L40 0.56-1.4 50 OGCM). We analyze sets 10-yearlong 9-ensemble hindcasts (3 members by 6...

10.2151/jmsj.2012-a22 article EN Journal of the Meteorological Society of Japan Ser II 2012-01-01

Abstract. This study developed a new Model for Interdisciplinary Research on Climate, Earth System version2 Long-term simulations (MIROC-ES2L) system model (ESM) using state-of-the-art climate as the physical core. embeds terrestrial biogeochemical component with explicit carbon–nitrogen interaction to account soil nutrient control plant growth and land carbon sink. The model’s ocean is largely updated simulate cycles of carbon, nitrogen, phosphorus, iron, oxygen such that oceanic primary...

10.5194/gmd-2019-275 article EN cc-by 2019-10-08
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