Preprints
https://doi.org/10.5194/essd-2026-379
https://doi.org/10.5194/essd-2026-379
22 Jul 2026
 | 22 Jul 2026
Status: this preprint is currently under review for the journal ESSD.

Long-term multi-site eddy-covariance observations of carbon, water, and energy fluxes in West Africa

Luitpold Hingerl, Samuel Guug, Jan Bliefernicht, Hawwa Kadum, Souleymane Sy, Windmanagda Sawadogo, Emmanuel Quansah, Francis E. Oussou, Leonard Amekudzi, Seyni Salack, Belko Abdul-Aziz Diallo, Michael Ayamba, Emmanuel Ramde, Rainer Steinbrecher, Frank Neidli, and Harald Kunstmann

Abstract. Long-term ecosystem–atmosphere flux measurements are crucial for understanding land–atmosphere interactions, ecosystem functioning, and climate variability. In West Africa’s Sudanian savanna, such data are limited despite rapid land use change and high climate sensitivity. We address this by providing a harmonized, multi-site eddy covariance dataset of carbon, water, and energy fluxes from six savanna ecosystems in Burkina Faso and Ghana.

The dataset provides half-hourly and daily turbulent CO2, latent and sensible heat fluxes, net radiation, meteorological variables, and, where available, soil moisture and soil temperature. Measurements span the period 2013–2025 across contrasting land-use types ranging from forest savanna to cropland and degraded grassland. All data were processed with a uniform EddyPro-based workflow and further post-processed to ensure physical plausibility, temporal consistency, and harmonized variable definitions. Quality flags accompany all turbulent fluxes for user-defined filtering.

Archived in the PANGAEA repository and openly available (DOI: https://doi.org/10.1594/PANGAEA.994143), the dataset’s temporal continuity, explicit quality information, and multi-year coverage support diverse applications, including land surface and Earth system model evaluation, land–atmosphere coupling studies, satellite and machine-learning product validation, and analyses of seasonal to interannual variability and hydroclimatic extremes. These long-term, quality-controlled flux observations from a climate-sensitive, underrepresented region provide a key resource for advancing process understanding and model development in West African savannas.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Luitpold Hingerl, Samuel Guug, Jan Bliefernicht, Hawwa Kadum, Souleymane Sy, Windmanagda Sawadogo, Emmanuel Quansah, Francis E. Oussou, Leonard Amekudzi, Seyni Salack, Belko Abdul-Aziz Diallo, Michael Ayamba, Emmanuel Ramde, Rainer Steinbrecher, Frank Neidli, and Harald Kunstmann

Status: open (until 28 Aug 2026)

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Luitpold Hingerl, Samuel Guug, Jan Bliefernicht, Hawwa Kadum, Souleymane Sy, Windmanagda Sawadogo, Emmanuel Quansah, Francis E. Oussou, Leonard Amekudzi, Seyni Salack, Belko Abdul-Aziz Diallo, Michael Ayamba, Emmanuel Ramde, Rainer Steinbrecher, Frank Neidli, and Harald Kunstmann

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Long-term eddy-covariance measurements of energy, water, and carbon fluxes across a savanna land-use gradient in West Africa Luitpold Hingerl et al. https://doi.org/10.1594/PANGAEA.994143

Luitpold Hingerl, Samuel Guug, Jan Bliefernicht, Hawwa Kadum, Souleymane Sy, Windmanagda Sawadogo, Emmanuel Quansah, Francis E. Oussou, Leonard Amekudzi, Seyni Salack, Belko Abdul-Aziz Diallo, Michael Ayamba, Emmanuel Ramde, Rainer Steinbrecher, Frank Neidli, and Harald Kunstmann
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Short summary

This paper presents a long-term environmental observation dataset from six sites in Burkina Faso and Ghana, providing measurements of exchanges of carbon, water, and energy between ecosystems and the atmosphere. The data were collected across different land-use types and processed using a consistent workflow to ensure quality and comparability. The openly available dataset supports climate research, environmental monitoring, and improved understanding of environmental change in West Africa.

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