Top Priority Issue 4 Summary Organaization Sub-issue A Sub-issue B Sub-issue C Co-design Event Research result Library Information
Language:English(日本語へ)
Language:English(日本語へ)
Language:English(日本語へ)
Challenge of getting long lead times:
Lead time is the time from a forecast of weather disaster to its occurrence.

We are striving to simulate cumulonimbus clouds and so on in ultra-high resolution faithfully, and improve the prediction accuracy of extreme phenomena including heavy rain and tornados with the aim of making predictions with longer lead time before actual phenomena occur. To achieve these challenging objectives, we will establish the prediction techniques to utilize and assimilate multiple, different types of huge observational data which are available from satellites or radars and so on. The development of these prediction techniques is the first time achieved by using post-K supercomputer. Therefore, the development periods of prediction techniques are expected to be shortened by about 20 years.

In addition, we are aiming to establish techniques of the probability prediction of further longer predictions comparing the above theme such as typhoons modulated by extreme phenomena and tropical disturbances occurring earlier for several months from two weeks. These challenging prediction of typhoons bring us significance influence on human activities, because of giving the prediction information on impacts of such extreme weather phenomena earlier for decades from a few years.

Furthermore, we set a target to develop the systems predicting chemical particles like PM2.5 and photochemical oxidants concentrations with the world’s highest level accuracy to protect human health.

The science and technology which we are striving in this project will be essential to our life in the near future, and post-K supercomputer is indispensable to accomplish the goal.



Some Sub-issue

Sub-issue A

Sub-issue B

Sub-issue C

Co-Design

Challenge of getting long lead times:
Lead time is the time from a forecast of weather disaster to its occurrence.

We are striving to simulate cumulonimbus clouds and so on in ultra-high resolution faithfully, and improve the prediction accuracy of extreme phenomena including heavy rain and tornados with the aim of making predictions with longer lead time before actual phenomena occur. To achieve these challenging objectives, we will establish the prediction techniques to utilize and assimilate multiple, different types of huge observational data which are available from satellites or radars and so on. The development of these prediction techniques is the first time achieved by using post-K supercomputer. Therefore, the development periods of prediction techniques are expected to be shortened by about 20 years.

In addition, we are aiming to establish techniques of the probability prediction of further longer predictions comparing the above theme such as typhoons modulated by extreme phenomena and tropical disturbances occurring earlier for several months from two weeks. These challenging prediction of typhoons bring us significance influence on human activities, because of giving the prediction information on impacts of such extreme weather phenomena earlier for decades from a few years.

Furthermore, we set a target to develop the systems predicting chemical particles like PM2.5 and photochemical oxidants concentrations with the world’s highest level accuracy to protect human health.

The science and technology which we are striving in this project will be essential to our life in the near future, and post-K supercomputer is indispensable to accomplish the goal.



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