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Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products

Martínez, B. (author)
University of Valencia
Sanchez-Ruiz, S. (author)
University of Valencia
Gilabert, M. A. (author)
University of Valencia
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Moreno, A. (author)
University of Montana
Campos-Taberner, M. (author)
University of Valencia
García-Haro, F. J. (author)
University of Valencia
Trigo, I. F. (author)
Instituto Português do Mar e da Atmosfera
Aurela, M. (author)
Finnish Meteorological Institute
Brümmer, C. (author)
Johann Heinrich von Thünen Institute
Carrara, A. (author)
Fundacion Centro de Estudios Ambientales del Mediterraneo (CEAM)
De Ligne, A. (author)
University of Liège
Gianelle, D. (author)
Edmund Mach Foundation
Grünwald, T. (author)
Dresden University of Technology
Limousin, J. M. (author)
Paul Valéry University of Montpellier
Lohila, A. (author)
Finnish Meteorological Institute
Mammarella, I. (author)
University of Helsinki
Sottocornola, M. (author)
Waterford Institute of Technology
Steinbrecher, R. (author)
Karlsruhe Institute of Technology
Tagesson, T. (author)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,University of Copenhagen
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 (creator_code:org_t)
Elsevier BV, 2018
2018
English 13 s.
In: International Journal of Applied Earth Observation and Geoinformation. - : Elsevier BV. - 1569-8432. ; 65, s. 124-136
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The main goal of this paper is to derive a method for a daily gross primary production (GPP) product over Europe and Africa taking the full advantage of the SEVIRI/MSG satellite products from the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors delivered from the Satellite Application Facility for Land Surface Analysis (LSA SAF) system. Special attention is paid to model the daily GPP response from an optimized Montheith's light use efficiency model under dry conditions by controlling water shortage limitations from the actual evapotranspiration and the potential evapotranspiration (PET). The PET was parameterized using the mean daily air temperature at 2 m (Ta) from ERA-Interim data. The GPP product (MSG GPP) was produced for 2012 and assessed by direct site-level comparison with GPP from eddy covariance data (EC GPP). MSG GPP presents relative bias errors lower than 40% for the most forest vegetation types with a high agreement (r > 0.7) when compared with EC GPP. For drylands, MSG GPP reproduces the seasonal variations related to water limitation in a good agreement with site level GPP estimates (RMSE = 2.11 g m−2 day−1; MBE = −0.63 g m−2 day−1), especially for the dry season. A consistency analysis against other GPP satellite products (MOD17A2 and FLUXCOM) reveals a high consistency among products (RMSD < 1.5 g m−2 day−1) over Europe, North and South Africa. The major GPP disagreement arises over moist biomes in central Africa (RMSD > 3.0 g m−2 day−1) and over dry biomes with MSG GPP estimates lower than FLUXCOM (MBD up to −3.0 g m−2 day−1). This newly derived product has the potential for analysing spatial patterns and temporal dynamics of GPP at the MSG spatial resolutions on a daily basis allowing to better capture the GPP dynamics and magnitude.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)

Keyword

Daily
GPP
Light-use efficiency
LSA SAF
MSG
Water stress

Publication and Content Type

art (subject category)
ref (subject category)

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