Juliane Mai, PhD
computational hydrology | model analysis
data dissemination | data management
What I am passionate about...
During my training as
applied mathematician I specialized in
optimization. Model calibration and
sensitivity analyses of (mostly) environmental
models using high-performance computing is
still a central part of my day-to-day
work. I have developed a novel
"blended" modeling technique.
I increasingly engaged in data
management and data dissemination
activities over the last years since environmental
models use and produce lots of data.
My vision is to make
data available to everyone. Therefore, I
focus on creating tools that facilitate the
distribution of data, model setups, and
results of large-scale studies through
end-user focused data portals. I
created the data dissemination platforms CaSPAr and HydroHub.
When I am
not in front of a monitor, you can find me
bouldering, hiking, snowshoeing, or
anything else outdoorsy.
Curriculum Vitae
Projects & Products
Some highlights of the last years
Blended Model
Novel hydrologic modeling approach
xSSA-NA
Sensitivity analysis over North America
HydroHub
Platform to share and visualize data
GRIP-E & GRIP-GL
Model intercomparison studies
CaSPAr
Canadian Surface Prediction Archive
HFE toolkit
Python toolbox to analyse flood events
Ostrich
Calibration crash course
EEE
Efficient parameter screening
Publications
Mai, J. (2023):
Ten strategies towards
successful calibration of environmental
models
Journal of Hydrology, 620(A), 129414.
Accepted Mar 15, 2023.
Mai, J., Shen, H., Tolson, B. A., Gaborit, É., Arsenault, R.,
Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D.,
Kratzert, F., O'Brien, N., Princz, D. G., Rasiya Koya, S., Roy,
T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet,
V., and Waddell, J. W. (2022):
The Great Lakes Runoff Intercomparison
Project Phase 4: The Great Lakes (GRIP-GL)
Hydrol. Earth Syst. Sci., 26, 3537–3572. Highlight paper. Accepted Jun 10, 2022.
Mai, J., Craig, J. R., Tolson, B. A., and R. Arsenault (2022):
The sensitivity of simulated streamflow to individual hydrologic processes across North America.
Nature Communications, 13, 455. Accepted Jan 3,
2022.
Conferences
Joint DAES/ASRC Colloquium
State University of New York at AlbanyFebruary 27, 2023 | invited talk | recording
Session at AGU
