Pinyin: JIALE LOU Simplified Chinese: 佳乐 娄 Traditional Chinese：佳樂 婁
Jiale Lou
/dʒɑ'lə/ /loʊ/
Postdoctoral researcher at Princeton University and GFDL NOAA
I have been with Princeton University and GFDL NOAA since April 2023. I am currently a postdoctoral researcher working on understanding the dynamical drivers of fire activity in the western United States in collaboration with Dr. Thomas Delworth and Dr. Youngji Joh. This project has ignited my interest in comprehending the causes and consequences of high-impact weather/climate extremes, such as wildfire activity, heatwaves, droughts, and the extent to which such phenomena can be predicted on seasonal-to-interannual timescales. Prior to joining Princeton University, I conducted research on multi-year ENSO predictions and predictability in University of Colorado Boulder and PSL NOAA. I hold a Ph.D. degree in marine science from the University of Tasmania (UTAS), Australia, where my research focused on the dynamics and predictability of South Pacific Ocean climate variability. Dr. Neil Holbrook and Dr. Terence O'Kane were my PhD advisors.
Highlights of recent work
Model-analog ENSO hindcasts
By employing a simple pattern recognition tool known as model-analog techinque, we demonstrate ENSO forecast skills comparable to those of the state-of-the-art SEA5-20C hindcasts.
Big picture for South Pacific climate variability
A dynamical framework is proposed for understanding large-scale South Pacific climate variability, where the atmosphere interacts with the South Pacific ocean on multiple time scales.
Atmospheric drivers of South Pacific Ocean variability
We demonstrate that the atmospheric Pacific-South American patterns 1 and 2 (PSA1 and PSA2) serve as stochastic drivers for the South Pacific Ocean variability associated with the South Pacific Decadal Oscillation (SPDO) and South Pacific quadrupole pattern.
Temporal relationships between ENSO, and Pacific decadal variability
We investigate the South Pacific Decadal Oscillation (SPDO), defined as the leading sea surface temperature mode in the South Pacific, and explore its spatiotemporal relationships with ENSO and Pacific decadal variability.