Surface radiant and energy flux densities inferred from satellite data for the BALTEX watershed

To study the energy and water cycle at different spatial and temporal scales, the satellite data analysis scheme SESAT (Strahlungs- und Energieflüsse aus SATellitendaten) has been developed for passive remotely sensed data, like NOAA-AVHRR, ERS-1/2 ATSR, Envisat AATSR and MSG SEVIRI data. SESAT consists of several modules to compute cloud properties (types as well as geometrical, optical and microphysical properties), land surface properties (radiometrical and bio-geophysical properties), surface radiant and energy flux densities. SESAT could be applied to different data sets, especially for the BALTEX watershed, to infer surface radiant flux densities and also, as a first estimation, surface energy flux densities with sufficient accuracy. Most of the parameters needed for this computation can be derived from meteorological satellite data. Comparisons of net radiation, inferred from satellite data and measured at the surface, do show sufficient accuracy, but for energy flux densities more observations at the ground will have to be carried out to quantify the achievable accuracy.

Authors

Publication Details

Journal
Boreal Environment Research Journal Archive
Published
2024-12-12
DOI
https://doi.org/10.60910/f16g-q0uw
Citations
10
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
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article

Surface radiant and energy flux densities inferred from satellite data for the BALTEX watershed

F. H. Berger
10 citations
Boreal Environment Research Journal Archive
Plant Water Relations and Carbon Dynamics
article

Surface radiant and energy flux densities inferred from satellite data for the BALTEX watershed

F. H. Berger
article en
10 citations

Abstract

To study the energy and water cycle at different spatial and temporal scales, the satellite data analysis scheme SESAT (Strahlungs- und Energieflüsse aus SATellitendaten) has been developed for passive remotely sensed data, like NOAA-AVHRR, ERS-1/2 ATSR, Envisat AATSR and MSG SEVIRI data. SESAT consists of several modules to compute cloud properties (types as well as geometrical, optical and microphysical properties), land surface properties (radiometrical and bio-geophysical properties), surface radiant and energy flux densities. SESAT could be applied to different data sets, especially for the BALTEX watershed, to infer surface radiant flux densities and also, as a first estimation, surface energy flux densities with sufficient accuracy. Most of the parameters needed for this computation can be derived from meteorological satellite data. Comparisons of net radiation, inferred from satellite data and measured at the surface, do show sufficient accuracy, but for energy flux densities more observations at the ground will have to be carried out to quantify the achievable accuracy.

Boreal Environment Research Journal Archive
Openalex Percentile: Top 100%
Plant Water Relations and Carbon Dynamics
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Surface radiant and energy flux densities inferred from satellite data for the BALTEX watershed — F. H. Berger · Boreal Environment Research Journal Archive (2024) | TGRS Research Map | TGRS