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Environmental Data Science

Environmental Data Science Add us as a preferred source on Google

Bluesky @envdatascience.bsky.social
⚔ Compare ☆ Follow Own this channel?
🔄 Data last refreshed 2 months ago
Followers
533
Account age
1 yrs
🎁 Free analysisfor Environmental Data Science
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

New article! Calibrated conformal prediction intervals for microphysical process rates 👉https://cup.org/4w0sooz ✍️Miriam Simm, Corinna Hoose and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning4 views New article! Calibrated conformal prediction intervals for microphysical process rates 👉https://cup.org/4w0sooz ✍️Miriam Simm, Corinna Hoose and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning New article! Precipitation nowcasting of satellite data using physically aligned neural networks 👉https://cup.org/4wfMkDp ✍️Antônio Catão, Leonardo Voltarelli, Melvin Poveda and Paulo Orenstein #precipitation #data #satellitedata #neuralnetworks #nowcasting2 views New article! Precipitation nowcasting of satellite data using physically aligned neural networks 👉https://cup.org/4wfMkDp ✍️Antônio Catão, Leonardo Voltarelli, Melvin Poveda and Paulo Orenstein #precipitation #data #satellitedata #neuralnetworks #nowcasting New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 👉https://cup.org/4g5tIj8 ✍️Ophélie Meuriot, Jorge Soto Martin, Francisco Camara Pereira & Martin Drews #climatechange #machinelearning #wildfire @climformatics.bsky.social1 views New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 👉https://cup.org/4g5tIj8 ✍️Ophélie Meuriot, Jorge Soto Martin, Francisco Camara Pereira & Martin Drews #climatechange #machinelearning #wildfire @climformatics.bsky.social Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy Part of the Climate Informatics 2026 special issue. #CMIP6 #machinelearning #clustering #ensembleweighting1 views Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy Part of the Climate Informatics 2026 special issue. #CMIP6 #machinelearning #clustering #ensembleweighting

📊 Post engagement

2
Avg engagement / post
0.4%
Engagement vs followers
Nov 2024
On Bluesky since

🔥 Top post: New article! Calibrated conformal prediction intervals for micr · 4 likes + reposts

📊 Activity & format

Posting cadence
0.56 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 text · 12 image · 0 video.
Follower / following
0.3×
Follows 1.7K back. A more reciprocal / networked account.

Recent posts

View on Bluesky ↗
🔥 Top post New article! Calibrated conformal prediction intervals for microphysical process rates 👉https://cup.org/4w0sooz ✍️Miriam Simm, Corinna Hoose and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning ★ 4
New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 👉https://cup.org/4g5tIj8 ✍️Ophélie Meuriot, Jorge Soto Martin, Francisco Camara Pereira & Martin Drews #climat… ★ 1 New article! Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields 👉https://cup.org/4q0c7Oa ✍️Julie Keisler, Boutheina Oueslati, Anastase Charantonis, Yannig Goude & @cmontel.bsky.social … Recently published! Joint bias correction and downscaling of subseasonal forecasts via diffusion models 👉https://cup.org/4yXJu8r ✍️Maria Pyrina, Adel Imamovic, Dominik Bueeler, Christoph Spirig and Daniela I.V. Domeisen #climate #subsea… Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy  Part of the Climate Informatics 2026 special issue.  #CMIP6 #machinelearning #c… Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy Part of the Climate Informatics 2026 special issue. #CMIP6 #machinelearning #cl… ★ 1 Recently published! A generative likelihood framework for high-resolution climate model evaluation 👉 https://cup.org/4fNN3Gw ✍️Lilli Johanna Freischem, @treichelt.bsky.social, Ronald Clark, @philipstier.bsky.social and @hannah325.bsky.so… New article! SYNOPTICBENCH: evaluating vision-language models on generating weather forecast discussions of the future 👉https://cup.org/4x01Dkh ✍️Timothy Higgins, Antonios Mamalakis and Chirag Agarwal #visionlanguagemodel #multimodality… Recently published! Emulating non-differentiable metrics via knowledge-guided learning: Introducing the Minkowski image loss 👉 https://cup.org/3TppDyy ✍️Filippo Quarenghi, Ryan Cotsakis and Tom Beucler #differentiability #machinelearnin… New article! One stone three birds: Three-dimensional implicit neural network for compression and continuous representation of multi-altitude climate data 👉https://cup.org/4wbBDm3 ✍️Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xi… Recent article! Explainable machine learning highlights the role of diffuse radiation in ecosystem carbon uptake of boreal forest 👉https://cup.org/4wIPNLh ✍️Topi Markus Laanti, Aino Aarne, Maxime Durand et al.  #machinelearning #borreal… New article! Precipitation nowcasting of satellite data using physically aligned neural networks 👉https://cup.org/4wfMkDp ✍️Antônio Catão, Leonardo Voltarelli, Melvin Poveda and Paulo Orenstein #precipitation #data #satellitedata #neura… ★ 2

🦋 Handle & authenticity

Bluesky handle
@envdatascience.bsky.social
A default .bsky.social handle — genuine, but not domain-verified. Confirm identity before a high-value deal.
On Bluesky since
Nov 2024
Joined after Bluesky opened to the public — a settled account with a real history.

💡 Facts

🗓️Joined Bluesky in 2024 — 1 year ago.
👁️Averages 2 views per post.
📤Posts about 0.6× per week.

🕵️ Fake follower check

Estimated
75/100
Good Credibility score
92%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 92% real, active audience · Low fake-follower risk.
  • Strong engagement (~0.4% of followers engage each post) — an active, real audience.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Environmental Data Science is an #OpenAccess journal @cambridgeup.bsky.social dedicated to the use of data science & AI to enhance our understanding of the environment.

📸 Gallery

New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 👉https://cup.org/4g5tIj8 ✍️Ophélie Meuriot, Jorge Soto Martin, Francisco Camara Pereira & Martin Drews #climatechange #machinelearning #wildfire @climformatics.bsky.social New article! Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields 👉https://cup.org/4q0c7Oa ✍️Julie Keisler, Boutheina Oueslati, Anastase Charantonis, Yannig Goude & @cmontel.bsky.social #downscaling #flowmatching @climformatics.bsky.social Recently published! Joint bias correction and downscaling of subseasonal forecasts via diffusion models 👉https://cup.org/4yXJu8r ✍️Maria Pyrina, Adel Imamovic, Dominik Bueeler, Christoph Spirig and Daniela I.V. Domeisen #climate #subseasonalprediction Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy  Part of the Climate Informatics 2026 special issue.  #CMIP6 #machinelearning #clustering #ensembleweighting #climate Recently published! A generative likelihood framework for high-resolution climate model evaluation 👉 https://cup.org/4fNN3Gw ✍️Lilli Johanna Freischem, @treichelt.bsky.social, Ronald Clark, @philipstier.bsky.social and @hannah325.bsky.social #climate #climatemodel New article! SYNOPTICBENCH: evaluating vision-language models on generating weather forecast discussions of the future 👉https://cup.org/4x01Dkh ✍️Timothy Higgins, Antonios Mamalakis and Chirag Agarwal #visionlanguagemodel #multimodality #weatherforecasting Recently published! Emulating non-differentiable metrics via knowledge-guided learning: Introducing the Minkowski image loss 👉 https://cup.org/3TppDyy ✍️Filippo Quarenghi, Ryan Cotsakis and Tom Beucler #differentiability #machinelearning #radarprecipitation New article! One stone three birds: Three-dimensional implicit neural network for compression and continuous representation of multi-altitude climate data 👉https://cup.org/4wbBDm3 ✍️Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian & Byung-Jun Yoon #climate

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

UCL Bartlett Faculty of the Built Environment UCL Bartlett Faculty of the Built Environment 15% Seamus Whelehan Broadcast Journalist & Producer Cork's RedFM Seamus Whelehan Broadcast Journalist & Producer Cork's RedFM 13% Joe Brennan Joe Brennan 12% Super Relaxed Fantasy Club Super Relaxed Fantasy Club 11% Jason Tremblay Jason Tremblay 10% Saurabh Mehta Saurabh Mehta 10%

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Environmental Data Science has 533 followers on Bluesky.

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