 |
| Titel |
Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts |
| VerfasserIn |
C. Szczypta, J.-C. Calvet, F. Maignan, W. Dorigo, F. Baret, P. Ciais |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 3 ; Nr. 7, no. 3 (2014-05-20), S.931-946 |
| Datensatznummer |
250115622
|
| Publikation (Nr.) |
 copernicus.org/gmd-7-931-2014.pdf |
|
|
|
|
|
| Zusammenfassung |
| Two new remotely sensed leaf area index
(LAI) and surface soil moisture (SSM) satellite-derived products are
compared with two sets of simulations of the ORganizing Carbon and Hydrology
In Dynamic EcosystEms (ORCHIDEE) and Interactions between Soil, Biosphere
and Atmosphere, CO2-reactive (ISBA-A-gs) land surface
models. We analyse the interannual variability over the period 1991–2008.
The leaf onset and the length of the vegetation growing period (LGP) are
derived from both the satellite-derived LAI and modelled LAI. The LGP values
produced by the photosynthesis-driven phenology model of ISBA-A-gs are
closer to the satellite-derived LAI and LGP than those produced by ORCHIDEE. In
the latter, the phenology is based on a growing degree day model for leaf
onset, and on both climatic conditions and leaf life span for senescence.
Further, the interannual variability of LAI is better captured by ISBA-A-gs
than by ORCHIDEE. In order to investigate how recent droughts affected
vegetation over the Euro-Mediterranean area, a case study addressing the
summer 2003 drought is presented. It shows a relatively good agreement of
the modelled LAI anomalies with the observations, but the two models
underestimate plant regrowth in the autumn. A better representation of the
root-zone soil moisture profile could improve the simulations of both
models. The satellite-derived SSM is compared with SSM simulations of
ISBA-A-gs only, as ORCHIDEE has no explicit representation of SSM. Overall,
the ISBA-A-gs simulations of SSM agree well with the satellite-derived SSM
and are used to detect regions where the satellite-derived product could be
improved. Finally, a correspondence is found between the interannual
variability of detrended SSM and LAI. The predictability of LAI is less
pronounced using remote sensing observations than using simulated variables.
However, consistent results are found in July for the croplands of the Ukraine
and southern Russia. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|