We focus on the use of probabilistic and ensemble machine learning (ML) methods to facilitate the modeling of Earth system processes. The techniques we consider range from generative ML models […]
Since the initiation of the ‘Earth Simulator’ supercomputer at JAMSTEC in 2002, the JAMSTEC modeling groups have been conducting multi-scale climate simulations. In this presentation, we will focus on our […]
This presentation will look at some of the science underpinning multilateral environmental agreements – on climate change, ozone, biodiversity, and hazardous substances – and assess the impacts of these agreements […]
In this seminar, I will introduce the different regional characteristics of the summer surface temperature trend in the Northern Hemisphere. Strong surface warming hotspots occur mainly over Europe and western […]
Marine heatwaves (MHWs), the prolonged extreme ocean warming events, occur not only at the ocean surface but also extensively in the global subsurface ocean. In the subsurface, as depths increase, […]
Climate models are plagued by long-standing biases. Increasing resolution to km-scales is not the solution, as recent massive ongoing efforts have shown. In contrast, supermodelling—an advanced physics-informed machine learning approach—can […]
You can also join us online: https://pusan.zoom.us/j/84619270770?pwd=DZLm4YO43pBse2lmvIaxXkhOm5APkW.1 (Meeting ID: 846 1927 0770Passcode: 663132)
Understanding how soil moisture is related to precipitation is important because the relationship between these variables can explain the generation mechanisms of various extreme climate events such as droughts and […]
The planet is warming due to the burning of fossil fuels, but the geographical pattern of the observed temperature change over the Pacific Ocean over the past ~40 years is […]
You can also join us online: https://pusan.zoom.us/j/9333234276?pwd=OTExbHQ0UmhJRWZ3aGlwZzY1ZXE0QT09 (Meeting ID: 933 323 4276, Passcode: 241007)