Effects of meteorological and climatological factors on extremely high residual load and possible future changes

Matsuo, 2020, Investigating the economics of the power sector under high penetration of variable renewable energies, Appl Energy, 267, 10.1016/j.apenergy.2019.113956 Ohba, 2022, Climatology of dark doldrums in Japan, Renew Sustain Energy Rev, 155, 10.1016/j.rser.2021.111927 van der Wiel, 2019, Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall, Renew Sustain Energy Rev, 111, 261, 10.1016/j.rser.2019.04.065 Bloomfield, 2020, Characterizing the winter meteorological drivers of the European electricity system using targeted circulation types, Meteorol Appl, 27, 10.1002/met.1858 Ohba, 2016, Impacts of synoptic circulation patterns on wind power ramp events in East Japan, Renew Energy, 96, 591, 10.1016/j.renene.2016.05.032 Yoshida, 2017, Analysis of meteorological factors of wind power ramps in Hokkaido and Tohoku area, IEEJ Trans. Power Energy, 137, 71, 10.1541/ieejpes.137.71 Marquis, 2011, Forecasting the wind to reach significant penetration levels of wind energy, Bull Am Meteorol Soc, 92, 1159, 10.1175/2011BAMS3033.1 Lucas, 2021, Hourly variation of wind speeds in the Philippines and its potential impact on the stability of the power system, Energies, 14, 2310, 10.3390/en14082310 Bando, 2022 Oshiro, 2017, Implications of Japan's 2030 target for long-term low emission pathways, Energy Pol, 110, 581, 10.1016/j.enpol.2017.09.003 2019 Kurosawa, 2022 Gibson, 2015, Synoptic and sub-synoptic circulation effects on wind resource variability - a case study from a coastal terrain setting in New Zealand, Renew Energy, 78, 253, 10.1016/j.renene.2015.01.004 Hamlington, 2015, Effects of climate oscillations on wind resource variability in the United States, Geophys Res Lett, 42, 145, 10.1002/2014GL062370 van der Wiel, 2019, The influence of weather regimes on European renewable energy production and demand, Environ Res Lett, 14, 10.1088/1748-9326/ab38d3 Peña, 2011, Atmospheric circulation patterns associated with strong wind events in Catalonia, Nat Hazards Earth Syst Sci, 11, 145, 10.5194/nhess-11-145-2011 Pryor, 2005, The impact of non-stationarities in the climate system on the definition of a ‘normal wind year’: a case study from the Baltic, Int J Climatol, 25, 735, 10.1002/joc.1151 Ohba, 2018, Medium-range probabilistic forecasts of wind power generation and ramps in Japan based on a hybrid ensemble, Atmosphere, 9, 423, 10.3390/atmos9110423 Brayshaw, 2011, The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: a case study over the UK, Renew Energy, 36, 2087, 10.1016/j.renene.2011.01.025 Breiman, 2001, Random forests, Mach Learn, 45, 5, 10.1023/A:1010933404324 Fujimoto, 2019, Alerting to rare large-scale ramp events in wind power generation, IEEE Trans Sustain Energy, 10, 55, 10.1109/TSTE.2018.2822807 Lee, 2020, Wind power prediction using ensemble learning-based models, IEEE Access, 8, 61517, 10.1109/ACCESS.2020.2983234 Lundberg, 2017, vol. 30 Kohonen, 1982, Self-organized formation of topologically correct feature maps, Biol Cybern, 43, 59, 10.1007/BF00337288 Ohba, 2015, Anomalous weather patterns in relation to heavy precipitation events in Japan during the Baiu season, J Hydrometeorol, 16, 688, 10.1175/JHM-D-14-0124.1 Ohba, 2016, Rainfall downscaling of weekly ensemble forecasts using self-organizing maps, Tellus, 68 Reusch, 2007, North Atlantic climate variability from a self-organizing map perspective, J Geophys Res, 112, 10.1029/2006JD007460 Fujibe, 2005, The increasing trend of intense precipitation in Japan based on four-hourly data for a hundred years, SOLA1, 41–44 Ebita, 2011, The Japanese 55-year Reanalysis “JRA-55”: an interim report, Sci. Online Lett. Atmos., 7, 149 Kobayashi, 2015, The JRA-55 reanalysis: general specifications and basic characteristics, J. Meteor. Soc. Japan, 93, 5, 10.2151/jmsj.2015-001 Doan, 2021, S-SOM v1.0: a structural self-organizing map algorithm for weather typing, Geosci Model Dev (GMD), 14, 2097, 10.5194/gmd-14-2097-2021 Ohba, 2020, Impacts of climate change on heavy wet snowfall in Japan, Clim Dynam, 54, 3151, 10.1007/s00382-020-05163-z Ohba, 2020, Rain-on-snow events in Japan as projected by a large ensemble of regional climate simulations, Clim Dynam, 55, 2785, 10.1007/s00382-020-05419-8 Agency for Natural Resources and Energy, “Energy supply and demand outlook for 2030”, https://www.enecho.meti.go.jp/committee/council/basic_policy_subcommittee/opinion/data/03.pdf (in Japanese) (accessed: July 6, 2022). Sakamoto, 2021, Demand-side decarbonization and electrification: EMF 35 JMIP study, Sustain Sci, 16, 395, 10.1007/s11625-021-00935-w Sugiyama, 2021, Introduction to the special feature on energy scenarios for long-term climate change mitigation in Japan, Sustain Sci, 16, 347, 10.1007/s11625-021-00931-0 Sugiyama, 2021, EMF 35 JMIP study for Japan's long-term climate and energy policy: scenario designs and key findings, Sustain Sci, 16, 355, 10.1007/s11625-021-00913-2 Ohba, 2019, The impact of global warming on wind energy resources and ramp events in Japan, Atmosphere, 10, 265, 10.3390/atmos10050265 Iwamoto, 2008, Statistical analyses of snowfall distribution in the Niigata area and its relationship to the wind distribution, SOLA, 4, 45, 10.2151/sola.2008-012 Adachi, 2007, A 36-year climatology of surface cyclogenesis in East Asia using high-resolution reanalysis data, SOLA, 3, 113, 10.2151/sola.2007-029 Takano, 2002, Analysis of an intense winter extratropical cyclone that advanced along the south coast of Japan, Soc Jpn Ser. II, 80, 669 Kawase, 2018, Characteristics of synoptic conditions for heavy snowfall in western to northeastern Japan analyzed by the 5-km regional climate ensemble experiments, Soc Jpn Ser II, 96, 161 Kosaka, 2013, Origin of seasonal predictability for summer climate over the Northwestern Pacific, Proc Natl Acad Sci USA, 110, 7574, 10.1073/pnas.1215582110 Hong, 2009, The extreme cold anomaly over southeast asia in february 2008: roles of ISO and ENSO, J Clim, 22, 3786, 10.1175/2009JCLI2864.1 Ohba, 2021, Dynamic and thermodynamic contributions of ENSO to winter precipitation in Japan: frequency and precipitation of synoptic weather patterns, Clim Dynam Moemken, 2018, Future changes of wind speed and wind energy potentials in EURO-CORDEX ensemble simulations, J. Geophys. Res. Atmospheres., 123, 12, 10.1029/2018JD028473 Jerez, 2019, Future changes, or lack thereof, in the temporal variability of the combined wind-plus-solar power production in Europe, Renew Energy, 139, 251, 10.1016/j.renene.2019.02.060 Müller, 2019, CMIP-5 models project photovoltaics are a no-regrets investment in Europe irrespective of climate change, Energy, 171, 135, 10.1016/j.energy.2018.12.139 Karnauskas, 2017, Southward shift of the global wind energy resource under high carbon dioxide emissions, Nat Geosci, 11, 38, 10.1038/s41561-017-0029-9 Shiogama, 2020, Selecting future climate projections of surface solar radiation in Japan, SOLA, 16, 75, 10.2151/sola.2020-013 Ohba, 2022, Projected future changes in water availability and dry spells in Japan: dynamic and thermodynamic climate impacts, Weather Clim Extrem, 38 Archer, 2005, Evaluation of global wind power, J Geophys Res, 110, 10.1029/2004JD005462