Juniper Tyree

Juniper Tyree

she/they

PhD Student at the University of Helsinki. MSc from UH, MEng from Imperial College London.

Climate computing, data compression, computational ecology, open science and software.

Rust, Python, and WebAssembly open-source developer, vegan, climate conscious.

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Publications

You can also find my publications on my ORCiD profile.

Journal Articles

ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data

Published in Geoscientific Model Development, 2026

We present ClimateBenchPress, a benchmark suite for lossy compression of climate data, which defines both data sets and evaluation techniques.

Recommended citation: Reichelt, T., Tyree, J., Klöwer, M., Dueben, P., Lawrence, B. N., Baker, A. H., Faghih-Naini, S., Hoefler, T., and Stier, P. (2026). ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data. Geoscientific Model Development, 19, 5933–5960. Available from: doi:10.5194/gmd-19-5933-2026.
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Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment

Published in Atmospheric Chemistry and Physics, 2026

We use a novel Lagrangian modelling framework to examine the origins and history of gas and aerosol components observed at the boreal forest measurement site SMEAR II, and their potential to act as CCN.

Recommended citation: Clusius, P., Baykara, M., Xavier, C., Zhou, P., Tyree, J., Foreback, B., Äijälä, M., Graeffe, F., Petäjä, T., Kulmala, M., Paasonen, P., Palmer, P. I., and Boy, M. (2026) Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment. Atmospheric Chemistry and Physics. 26, 1967–1992. Available from: doi:10.5194/acp-26-1967-2026.
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Conference Papers

χiplot: Web-First Visualisation Platform for Multidimensional Data

Published in Lecture Notes in Computer Science, 2023

χiplot is an HTML5-based system for interactive exploration of data and machine learning models.

Recommended citation: Tanaka, A., Tyree, J., Björklund, A., Mäkelä, J., and Puolamäki, K. (2023) χiplot: Web-First Visualisation Platform for Multidimensional Data. In: De Francisci Morales, G., Perlich, C., Ruchansky, N., Kourtellis, N., Baralis, E., Bonchi, F. (eds) Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, 14175. Available from: doi:10.1007/978-3-031-43430-3_26.
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Theses

Prudent Response Surface Models: Exploring a Framework for Approximating Simulations with Confidence and Certainty

Published in University of Helsinki, 2023

The Icarus Response Surface Model architecture combines an out-of-distribution detector, a prediction model, and an uncertainty quantifier.

Recommended citation: Tyree, J. (2023) Prudent Response Surface Models: Exploring a Framework for Approximating Simulations with Confidence and Certainty. Master’s Thesis. Available from: URN:NBN:fi:hulib-202305151941.
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Technical Reports

ESiWACE3 Deliverable D3.3 - Report on the online version of the data sets

Published in Zenodo, 2024

This deliverable documents the development of an Online Laboratory for Data Compression in Climate Science and Meteorology and the publication of the data compression datasets that allow the testing of various compression methods for output of both weather and climate models.

Recommended citation: Faghih-Naini, S., Tyree, J., Yepes-Arbós, X., Peters-von Gehlen, K., Dueben, P., Järvinen, H. J. (2024) ESiWACE3 Deliverable D3.3 - Report on the online version of the data sets. Available from: doi:10.5281/zenodo.14622238.
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Preprints

Observation-based evaluation of the Destination Earth climate change adaptation digital twin simulations using OBSALL v1.0

Published in EGUsphere, 2026

This article presents the Climate DT concept to assess simulation quality with Earth observations and showcase it through the lens of synoptic surface observations.

Recommended citation: Järvinen, H., Räisänen, J., Tuppi, L., Bouvier, C., Sanchez-Benitez, A., Tyree, J., Toropainen, A., Davini, P., Doblas-Reyes, F., Jung, T., Klocke, D., Kontkanen, J., Milinski, S., Nurisso, M., Kesari Pradhan, H., and Sandu, I. (2026). Observation-based evaluation of the Destination Earth climate change adaptation digital twin simulations using OBSALL v1.0. EGUsphere [preprint]. Available from: doi:10.5194/egusphere-2026-3364.
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ClimateBenchPress (v1.0): A Benchmark for Lossy Compression of Climate Data

Published in EGUsphere, 2026

We address this gap by presenting ClimateBenchPress, a benchmark suite for lossy compression of climate data, which defines both data sets and evaluation techniques.

Recommended citation: Reichelt, T., Tyree, J., Klöwer, M., Dueben, P., Lawrence, B. N., Baker, A. H., Faghih-Naini, S., Hoefler, T., and Stier, P. (2026). ClimateBenchPress (v1.0): A Benchmark for Lossy Compression of Climate Data. EGUsphere [preprint]. Available from: doi:10.5194/egusphere-2026-60.
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