Environmental Data Science is an #OpenAccess @CambridgeUP journal dedicated to the use of data science & AI to enhance our understanding of the environment.
Cambridge, UK
Joined September 2020
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New article!
Detecting structural transitions in climate-sensitive environmental signals using spectral entropy and Bayesian change-point inference
馃憠cup.org/4irhJxM
鉁嶏笍Tomoo Noguchi
#data #environmentalscience
Recent article!
Predicting stream water temperature: A data-driven approach highlighting the impact of riparian vegetation
馃憠cup.org/4yBniPX
鉁嶏笍Simon Walther, Beno卯t Hohl, Pauline Louren莽o, Hector Fabio Satizabal Mejia, Jean-Fran莽ois Rubin聽and Andres Perez-Uribe
#data
Recent article!
Data-driven integration kernels for interpretable nonlocal operator learning
馃憠 cup.org/4yMDn5I
鉁嶏笍Savannah L. Ferretti, Jerry Lin, Sara Shamekh, @janewbaldwin, Michael S. Pritchard聽and Tom Beucler
#environmentalscience #data
Explore Position Papers from Environmental Data Science.
Free to read and share: bit.ly/4yndnh2
#OAWeek
Explore special collections from Environmental Data Science.
Free to read and share: bit.ly/4ympgUa
#OAWeek
Explore most cited articles from Environmental Data Science.
Free to read and share: cup.org/47UTjYp
#OAWeek
Explore most read articles from Environmental Data Science.
Free to read and share: cup.org/4yQ9CSl
#OAWeek
Meet the new Editor of Environmental Data Science in this interview with Dr. Qili Dai
馃憠 bit.ly/4jGYFO0
#environmental #environmentalscience #data
Recently published!
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
馃憠cup.org/4rKqF5m
鉁嶏笍@sanjitdp, Margaret Johnson, Madeleine Pascolini-Campbell, Glynn Hulley聽and Mikael Kuusela
#data #ECOSTRESS
New article!
Cross-domain offshore wind power forecasting: transfer learning through meteorological clusters
馃憠cup.org/4iZAhXH
鉁嶏笍Dominic Weisser, Chloe Hashimoto-Cullen聽and @bguedj
#enviromental #data #wind
