Better Weather Forecasting Through Satellite Isotope Data Assimilation

Research

View list of research

芳村先生_750-500.png

Real satellite water vapor isotope data were assimilated in a general circulation model to determine whether including these data could improve forecast accuracy at both the global and local scales. Overall, forecast accuracy was improved by several percentage points. The effect was especially notable for variables closely related to water vapor isotope fractionation, such as air temperature and specific humidity, and a local-scale pressure pattern over Japan in 2013 was modeled more clearly.

2021.09.14

Press Release

Better Weather Forecasting Through Satellite Isotope Data Assimilation

Researchers from The University of Tokyo assimilated satellite observations of water vapor isotopes into a weather forecasting model and found that forecast accuracy was improved by several percentage points

Related Researchers

YOSHIMURA Kei Professor

Isotope Meteorology

Department of Human and Social Systems
Large-Scale Experiment and Advanced-Analysis Platform(LEAP)
Global Hydrological Prediction Center
Disaster Management Training Center (DMTC)

Civil Engineering : Graduate School of Engineering
Natural Environmental Studies : Graduate School of Frontier Sciences