University of Reading Research Data Archive

Back trajectories released from ocean catchment boundaries

How to cite this Dataset

Description

This dataset contains a subset from a dataset of 14-day back trajectories released from points along the ocean drainage basin catchment boundaries used in Craig, P. et al. (2023).

Six-hourly data from the ERA-Interim re-analysis from the European Centre for Medium Range Weather Forecasts (Dee et al., 2011) and the ROTRAJ model code (https://www.met.reading.ac.uk/~swrmethn/ROTRAJ/) were used to generate the back trajectories. Data were released every 12 hours on 17 vertical levels. The full dataset covers the years 2010-14 and contains 20.3 million trajectories per year.

The dataset defining the ocean catchment boundaries is available from the University of Reading Research Data Archive (https://doi.org/10.17864/1947.195).

The back trajectories can be read using the Python code readtraj_example.py provided here.

Craig, P., Ferreira, D. & Methven, J. (2023). A Lagrangian perspective on the Atlantic and Pacific Precipitation-Evaporation asymmetry. JGR Atmospheres (in press).

Dee, D. et al. (2011). The ERA-Interim Reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137, 553-597.

Resource Type: Dataset
Creators: Craig, Philip ORCID logoORCID: https://orcid.org/0000-0001-9213-4599
Contributors: Ferreira, David ORCID logoORCID: https://orcid.org/0000-0003-3243-9774 and Methven, John
Rights-holders: Philip Craig
Data Publisher: University of Reading
Publication Year: 2023
Data last accessed: 9 June 2024
DOI: https://doi.org/10.17864/1947.000461
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/461
Organisational units: Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology
Participating Organisations: University of Reading
Keywords: Lagrangian trajectory, ocean catchment, moisture transport, Atlantic-Pacific asymmetry, precipitation-evaporation
Rights:
Data Availability: OPEN

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