Dr. Jiang Zhu is
a truly exceptional early-career paleoclimate modeler who has fundamentally
changed our views of past climate change.
His research has both resolved
outstanding paradoxes in paleoclimate research and furthered our ability to use past climates as benchmarks for climate
model development. Jiang recognized, early on in the Community Modeling
Intercomparison Project 6 (CMIP6) modeling cycle, that the strength of the low cloud
feedback was a key determinant of climate sensitivity in this new generation of models, and also was a predictor of
how well a model could simulate past climates. He showed that while
improvements to cloud parameterization in the Community Earth System Model (CESM)
version 1.2 enabled the model to resolve the decades-old “equable climate
problem” for the Eocene greenhouse world, the subsequent changes in CESM
version 2 made the model too sensitive, and it therefore overestimated past
climate changes. Going further, he used paleoclimates to tune model cloud
parameterizations, demonstrating how we as a community can go beyond simple
proxy-model comparison and actually use paleoclimates to improve our model
predictions for the future.
Beyond his scientific contributions, Jiang is a generous collaborator who is always ready to share
his results and work with others—he has contributed to a staggering number of
paleoclimate studies. He also helped found the Paleoclimate Advances Webinar Series (PAWS), which is
a virtual platform for members of the paleoclimate community to share their
science. As a rising star in climate
modeling with a community ethos, Jiang embodies the namesake of this award, Dr.
Nanne Weber, who likewise was a
paleoclimate modeler with a generous spirit. We are thrilled that Jiang has
been selected for this year’s Nanne Weber Early
Career Award, and we have no doubt that his research will continue to
advance paleoclimatology in the decades to come.
—Jessica Tierney,
University of Arizona, Tucson
Paleoclimatologists have long been charged with the task of using past climate to inform our future.
Achieving this goal requires a close collaboration between scientists
working with paleoclimate data and climate
modeling, facilitating interdisciplinary research. Dr. Nanne Weber,
as a leader in paleoclimate modeling
and model-data comparison, perfectly exemplifies these aspects. She once
articulated, “Although there
are no analogous situations in the past,
the past does provide
suitable exercise material. Do we understand why the climate
changes and which mechanisms are involved
in those processes?”
I am deeply
honored and humbled to receive the AGU 2023 Nanne Weber Early Career Award in paleoclimatology
and paleoceanography, which is named in honor of Dr. Nanne Weber. I am thrilled
to be part of the community’s collective effort in transcending disciplinary
boundaries to gain insights into our climate’s
future through the lens of the past. I extend my sincere
gratitude to Drs. Jess
Tierney, Bette Otto-Bliesner, and Dan Lunt for their nomination and support.
Over the years,
I have had the privilege of learning from exceptional mentors and role models. Prof. Zhengyu
Liu, my Ph.D. adviser, has been a constant source
of inspiration and taught me to approach complex
climate problems from fundamental principles. Profs. Chris Poulsen
and Jess Tierney provided invaluable mentorship and encouragement during
my postdoctoral years, which has greatly broadened the scope of my research and
my professional network. Drs. Bette Otto-Bliesner and Esther Brady
have played a pivotal role in nurturing my growth as a scientist at the National Center for Atmospheric Research, providing
constant support in my pursuit of the questions that most intrigue me.
I must also express
my deep appreciation to the friends I’ve made among my peers and colleagues, whose support and shared joy have enriched my professional journey.
Last, I am deeply indebted to my wife, Ke, and our son, Victor,
as well as my parents,
for their unwavering love and support.
—Jiang Zhu, National Center for Atmospheric
Research, Boulder, Colo.