If you are interested in machine learning models in lakes, please read our paper named "Critical factors for the use of machine learning to predict lake surface water temperature": https://t.co/rTpb4ztl7Q

I presented at #IMC2025 with the poster: “A 1-km gridded dataset of daily precipitation observations for the Adige River catchment (1990–2023): data evaluation and assessment of systematic errors through snow height records.” 🌍 Supported by RETURN. #ClimateData #Precipitation

At #EMS2025 Conference, I presented: “Evaluating High-Resolution Gridded Precipitation for the Adige Catchment: Comparison of Interpolation Methods and Benchmarking Against Existing Products.” 🌍 Supported by Fondazione Return. #ClimateData #Alps #Precipitation #ClimateChange

Thrilled to present my poster at #MedclivarSISC2024 in Lecce! I showcased a 1-km gridded dataset of daily precipitation for the Adige River catchment, supporting local climate impact assessments. #Alto_Adige #climate_data #Eurac #RETURN

I had an amazing time speaking at the PPNW Conference! Sharing insights on 'influential predictors for lake surface water temperature in different climate regions' was a true honor. The learning and growth opportunities were exceptional. Grateful to all involved! #PPNW2023 #lake

It reminds me of my first-time measurements on iced lakes in Sweden. I searched through countless YouTube videos for guidance, but none proved as helpful as this particular one that I see a year after #Lake #Ice #Sweden

Download Free PDF! The Little Book of #DeepLearning: https://t.co/6NkP9TuCTp ———— #AI #MachineLearning #NeuralNetworks #GenerativeAI #BigData #DataScience #DataScientists

If you are interested in math, there are some interesting videos of my friend solving problems and teaching them. https://t.co/yrYDNOB7Kf

@YousefiAzadeh is live, talking about using machine learning for predicting lake ice #SIL100BERLIN

My (admittedly very rough) attempt at a Hubble v #JWST comparison. And this is literally just the beginning.

Recently, our paper entitled "Estimation of the Thermally Reactive Layer in Lakes Based on Surface Water Temperature" was published: https://t.co/xPHt38GgG3

The summit will run over two days w talks focused on #datascience #openscience. Day 1 will have talks by @patriciatran_ @heloisaemacedo @srsnewall @ecospeir @werdrobison @heili_lowman @ren_will @JorritMesman @YousefiAzadeh @wayana_dolan & more!

It's just about a month away from #DSOS22 and I'm getting more and more excited! If you're interested in #datascience #openscience #limnology #ecology #hydrology #rstats #python Then this is def not one to miss! Registration is free + open to everyone!

https://t.co/3nnlM52PRo

https://t.co/FuNiShzxlT

In youth’s spring it was my lot To haunt, of the wide earth a spot The which I could not love the less, So lovely was the loneliness Of a wild lake, with black rock bound, And the tall pines that tower’d around. Edgar Allan Poe (1809-1849)

It's the first week that I've started my exchange period as a Ph.D. student at Uppsala University on predictions related to ice and water quality of lakes by machine learning under the supervision of prof. Gesa Weyhenmeyer. I really liked the university environment here.

3. Amictic: permanently ice-covered lakes; circulate underneath an ice sheet by external forcing such as solar radiation, geothermal heat flux, or salinity gradients.

Based on Boehrer and Schultze (2006), different kinds of lakes are: 1.Holomictic: overturn and homogenize at least once a year. 2. Meromictic: the monimolimnion, a chemically different layer of bottom water, remains there for at least 1 year.

warm monomictic: do not develop an ice cover during winter. cold monomictic lakes: an ice cover for most of the year and circulate during the short period without ice. – Oligomictic: circulate less than once a year, normally at irregular intervals, by extreme weather conditions.