Julie Mai
@julieeemai.bsky.social
780 followers 630 following 27 posts
Research Associate Prof @UWaterloo | water, data & computers | creator of https://bsky.app/profile/caspar-data.bsky.social & https://HydroHub.org | sensitivity analyses are my jam | she/her
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Reposted by Julie Mai
hs.egu.eu
Mentors matter—especially in challenging times.
The latest #EGU special issue Women in #Hydrology shines a light on women who’ve broken ground in hydrological sciences, & the mentees following their path.

Essential reads on equity, inclusion, & resilience.

Check 👇

blogs.egu.eu/divisions/hs...
Women in Hydrology – The Story of a Special Issue
It was 2021, and we were not feeling good.  COVID-19 was in full force.  Personally we were experiencing lockdown conditions, disruptions to our work, schooling and childcare arrangements.  Our social...
blogs.egu.eu
Reposted by Julie Mai
datastream.org
An exciting webinar is coming up! Discover the Poseidon Water Quality Portal with DataStream’s Meghan McLeod, Dr. Nandita Basu, @julieeemai.bsky.social & @vanmeterkvm.bsky.social on Sept 22, 1pm ET.

Learn about portal features, datasets, and applications: forms.gle/ZjHPEGvRyNjD...
Reposted by Julie Mai
kinarnicholas.bsky.social
Hydrology Paper of the Day @rarakihydro.bsky.social on a model of soil moisture loss that utilizes a nonlinear function: model fitting to SMAP remote sensing data; an examination of global-scale patterns; how aridity, sand fraction and landcover affects outputs; and the role of evapotranspiration.
rarakihydro.bsky.social
My 2nd PhD chapter is out! Soil drying speeds encode the signature of evapotranspiration. Using SMAP data, we demonstrated that, introducing nonlinearity in a traditional soil model help capture aggressive vs conservative vegetation water consumption.

doi.org/10.1029/2024...
Reposted by Julie Mai
kratzert.bsky.social
Caravan News🐪🐫

I just published Version 1.6. The main update is that the source data for CAMELS-AUS was upgraded to CAMELS-AUS v2. This means more basins (561 vs 222) and more recent streamflow data (2022 vs 2014).

All relevant links in thread 🧵

(please share/repost)
Reposted by Julie Mai
Reposted by Julie Mai
gauchm.bsky.social
Starting on bsky with a new preprint: "How to deal w___ missing input data"
doi.org/10.31223/X50...

Missing input data is a very common challenge in deep learning for hydrology: weather providers have outages, some data products start later than others, some only exist for certain regions, etc.
Different scenarios for missing input data: outages at individual time steps (top), data products starting at different points in time (middle), and local data products that are not available for all basins (bottom). All of these scenarios reduce the number of training samples for models that cannot cope with missing data (yellow, small box), while the models presented in this paper can be trained on all samples with valid targets (purple, large box).
Reposted by Julie Mai
Reposted by Julie Mai
kirkwoodlab.bsky.social
GRAD POSITION: MSc position aquatic ecology and conservation at Laurentian University w/ flexible start date. Contact Brie Edwards (see ALT text) for more details #AcademicSky
We are currently seeking a MSc domestic student (i.e. Canadian citizen or permanent resident) to join a cohort of newly recruited HQP. The project will focus on developing and testing novel stream biomonitoring methods incorporating eDNA to assay community membership from microbes to fish. These rapid bioassessment techniques will be tested against traditional approaches in their ability to produce functional, community and multi-trophic indicators of ecosystem integrity and biodiversity along a gradient of impact recovery. The student will be hosted at Laurentian University (Dr. Brie Edwards) and co-supervised by Dr. Erik Emilson (Natural Resources Canada). Field work will begin in Spring of 2025 and will be conducted in the Sudbury area. As such we are recruiting a student interested in starting May 2025. Ideal candidates will have a strong background in aquatic ecology and an interest in benthic bioindicators, molecular techniques, and population and community responses to environmental change. Quantitative skills in statistical analysis are desired but can be provided through training programs at the respective institutions. Interested students should send a CV, cover letter expressing interest and relevant skills, as well as a copy of unofficial transcripts to Brie Edwards (bedwards2@laurentian.ca). Please include “CRADLES graduate interest” as the subject line.
julieeemai.bsky.social
Luis, that looks amazing!!! 😍
julieeemai.bsky.social
How I arrived at BlueSky
Reposted by Julie Mai
arnallouise.bsky.social
We have a full day of Art&Science for you today at #AGU24! The #ArtSci oral & poster sessions and the plenary “What’s next for corals” at noon, highlighting the transformative power of the arts in engaging the public & for innovative pathways to solutions 🪸 Sneak peek of the plenary rehearsal🕵️‍♀️
Reposted by Julie Mai
Reposted by Julie Mai
kratzert.bsky.social
My colleague Martin Gauch will present our ongoing research on end-to-end trained, deep learning based distributed hydrology models today in the morning session at poster 983 at #AGU24.
Reposted by Julie Mai
lakhanpalgarima.bsky.social
Friday! Final day of AGU!
Please come say hi to us all! We would love to talk science 💫

@danykabyrnes.bsky.social
@julieeemai.bsky.social

#BasuLab
#AGU24
Reposted by Julie Mai
nitinsingh.bsky.social
If you are still around and have interest in #drought #groundwater at CONUS scale, stop by our talk today at 2:56p in 145. Apparently, it has been "highlighted" by the convenors, and @matthiasprenger.bsky.social tells me it is not a bad thing 😅
Reposted by Julie Mai
abcassel.bsky.social
@lireactivewater.bsky.social delivers this year’s Witherspoon lecture during #AGU24. She describes scientific models like novels. Novels allow us to study the deeper truths of the human existence. Scientific models help us explore deeper truths of science.

More work from Li: go.nature.com/3uZg5i4
Reposted by Julie Mai
floodhydrology.bsky.social
Li Li giving a great Witherspoon Lecture on water quality modeling!
Reposted by Julie Mai
lese66.bsky.social
Amazing #HEPEX gathering in Washington during the #AGU24
julieeemai.bsky.social
What a pleasure to be out for dinner with the amazing HEPEX people #AGU24. Such a treat!!

Thanks @arnallouise.bsky.social for organising! ❤️
Reposted by Julie Mai
kratzert.bsky.social
Using all the activity here from #AGU24 to highlight our #EGU25 session on "Deep learning in hydrology" that is open for abstract submission.
kratzert.bsky.social
Are you working on the intersection of hydrology and deep learning? Consider submitting your abstract to our #EGU25 session on "Deep Learning in Hydrology".

See detailed session description at meetingorganizer.copernicus.org/EGU25/sessio...
Promotional image for the "deep learning in hydrology" session. On the left, shows the following description: "We welcome abstracts related to novel theory development, new methodologies, or practical applications of deep learning in hydrological modeling and process understanding.". On the right, shows an abstract visualization of a brain with some elements of an electrical circuit. There is a waterfall coming out from the middle part of that brain, forming a river that flows towards the front.
julieeemai.bsky.social
That was one of the questions that was asked by the audience too. Apparently uncertainties from forcings are addressed and available in the downloads. Just not on maps. But they are working on this
Reposted by Julie Mai
danykabyrnes.bsky.social
Change of plans! Shuyu Chang is presenting about Dams and water quality in the Chesapeake bay at 15:25 in 146A!

Go listen to this awesome talk and give her some support! 🤗
julieeemai.bsky.social
World water maps town hall happening right now at #AGU24. Come to Marriott salon 3. It’s in the tunnel connecting conference Center and Marriott.