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    Academic Journals

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• The ICON-A model for direct QBO simulations on GPUs (version icon-cscs:baf28a514).

  Authors:Marco A. Giorgetta, William Sawyer, Xavier Lapillonne, Panagiotis Adamidis, Dmitry Alexeev, Valentin Clément, et al.From:Geoscientific Model Development (Vol. 15, Issue 18) Peer-Reviewed

  Sept. 16, 2022444 words Article Classical numerical models for the global atmosphere, as used for numerical weather forecasting or climate research, have been developed for conventional central processing unit (CPU) architectures. This hinders the...

• Classification of tropical cyclone containing images using a convolutional neural network: performance and sensitivity to the learning dataset.

  Authors:Sébastien Gardoll and Olivier BoucherFrom:Geoscientific Model Development (Vol. 15, Issue 18) Peer-Reviewed

  Sept. 16, 2022257 words Brief article Tropical cyclones (TCs) are one of the most devastating natural disasters, which justifies monitoring and prediction on short and long timescales in the context of a changing climate. In this study, we have adapted and...

• Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest.

  Authors:Bahar Bahrami, Anke Hildebrandt, Stephan Thober, Corinna Rebmann, Rico Fischer, Luis Samaniego, et al.From:Geoscientific Model Development (Vol. 15, Issue 18) Peer-Reviewed

  Sept. 16, 2022572 words Article Temperate forest ecosystems play a crucial role in governing global carbon and water cycles. However, unprecedented global warming presents fundamental alterations to the ecological functions (e.g., carbon uptake) and...

• Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5).

  Authors:Johan F. de Haan, Ping Wang, Maarten Sneep, J. Pepijn Veefkind, and Piet StammesFrom:Geoscientific Model Development (Vol. 15, Issue 18) Peer-Reviewed

  Sept. 16, 2022269 words Brief article DISAMAR (determining instrument specifications and analysing methods for atmospheric retrieval) is a computer model developed to simulate retrievals of properties of atmospheric trace gases, aerosols, clouds, and the...

• RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling.

  Authors:Robert Chlumsky, James R. Craig, Simon G. M. Lin, Sarah Grass, Leland Scantlebury, Genevieve Brown, et al.From:Geoscientific Model Development (Vol. 15, Issue 18) Peer-Reviewed

  Sept. 16, 2022273 words Brief article In recent decades, advances in the flexibility and complexity of hydrologic models have enhanced their utility in scientific studies and practice alike. However, the increasing complexity of these tools leads to a number...