|
Titel |
Global-scale analysis of satellite-derived time series of naturally inundated areas as a basis for floodplain modeling |
VerfasserIn |
L. Adam, P. Döll, C. Prigent, F. Papa |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1680-7340
|
Digitales Dokument |
URL |
Erschienen |
In: Hydrologic Modelling for the Assessment of Ecosystem Services and Landscape Functions ; Nr. 27 (2010-08-25), S.45-50 |
Datensatznummer |
250016338
|
Publikation (Nr.) |
copernicus.org/adgeo-27-45-2010.pdf |
|
|
|
Zusammenfassung |
Floodplains play an important role in the terrestrial water cycle and are
very important for biodiversity. Therefore, an improved representation of the
dynamics of floodplain water flows and storage in global hydrological and
land surface models is required. To support model validation, we combined
monthly time series of satellite-derived inundation areas (Papa et al., 2010)
with data on irrigated rice areas (Portmann et al., 2010). In this way, we
obtained global-scale time series of naturally inundated areas (NIA), with
monthly values of inundation extent during 1993–2004 and a spatial
resolution of 0.5°. For most grid cells
(0.5°×0.5°), the mean annual maximum of NIA agrees well
with the static open water extent of the Global Lakes and Wetlands database
(GLWD) (Lehner and Döll, 2004), but in 16% of the cells NIA is larger
than GLWD. In some regions, like Northwestern Europe, NIA clearly
overestimates inundated areas, probably because of confounding very wet soils
with inundated areas. In other areas, such as South Asia, it is likely that
NIA can help to enhance GLWD. NIA data will be very useful for developing and
validating a floodplain modeling algorithm for the global hydrological model
WGHM. For example, we found that monthly NIAs correlate with observed river
discharges. |
|
|
Teil von |
|
|
|
|
|
|