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Imada Lab
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The lab uses climate models to uncover the link between extreme weather and climate variability.

AboutAbout the lab
How extreme weather is linked to climate variability
The Imada Lab studies the mechanisms of climate variability on timescales of several years to several decades, and its predictability.
Extreme weather events such as heat waves, heavy rainfall, and droughts occur irregularly over periods of several days to about two weeks.
Their frequency and intensity are influenced by climate variability on longer timescales, such as the El Niño–Southern Oscillation (ENSO).
The lab uses atmospheric models and coupled atmosphere–ocean models to investigate the link between extreme weather and climate variability.
Key terms
- El Niño–Southern Oscillation (ENSO)
- Interannual climate variability in which sea surface temperature and atmospheric conditions in the equatorial Pacific change greatly every few years
- Coupled atmosphere–ocean model
- A climate model that links an atmospheric model with an ocean model and computes the interactions between them
- Large ensemble experiment
- A numerical experiment that runs a large number of simulations with slightly varied conditions in order to capture rare phenomena
NewsLab news
View More ↗ResearchResearch themes
The lab uses atmospheric models and coupled atmosphere–ocean models to study the mechanisms of climate variability on timescales of several years to several decades. It also puts particular effort into research on the predictability of climate variability, making use of climate prediction systems built on climate models.
*Illustrative imageMechanisms of Climate Variability
Using atmospheric models and coupled atmosphere–ocean models, the lab investigates the mechanisms that give rise to climate variability on timescales of several years to several decades.
*Illustrative imagePredictability of Climate Variability
Predictions come in several types, from weather forecasts to seasonal predictions, decadal predictions, and global warming projections, and each differs in how models are combined and how initial and boundary conditions are set up. By using these appropriately, the lab identifies the mechanisms of the phenomena that are key to prediction.
*Illustrative imageExtreme Weather and Large Ensemble Experiments
The lab conducts experiments that repeat a very large number of simulations to capture rare extreme weather events. It examines the probability of extreme weather occurring and its relationship with climate variability, as well as predictability several years to several decades ahead.
MembersFaculty
- Associate ProfessorYukiko ImadaPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Cumulonimbus cloud ( )” contri / CC BY-SA 2.0 (cropped)
- Mechanisms of Climate Variability: “El Niño Sea Surface Temperature and Height Anomaly on a Globe- January 1997 through December 1997 (SVS145)” NASA's Scientific Visualization Studio / Public domain (cropped)
- Predictability of Climate Variability: “The Roiling Clouds of Katrina ( )” NASA Goddard Space Flight Center / CC BY 2.0 (cropped)
- Extreme Weather and Large Ensemble Experiments: “Cracked earth after prolonged drought. 2020” Rosser1954 / CC BY-SA 4.0 (cropped)
- Related lab (Yoshimori Lab): “Mosaic of the Arctic” NASA / Public domain (cropped)
- Related lab (Watanabe Lab): “Blue Marble Western Hemisphere” NASA / Reto Stöckli / Public domain (cropped)
- Related lab (Kosaka Lab (Global Climate Dynamics)): “Himawari 8 Full Disk Aug Z” Himawari 8 satellite operated by the Japan Meteorological Agency / Public domain (cropped)
- Related lab (Oka Lab (Division of Climate System Research)): “Deciphering the Maud Rise Polynya in normal color” NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS/LANCE and GIBS/Worldview. Story by Kathryn Hansen. / Public domain (cropped)
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