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| Titel |
Sources of interannual yield variability in JULES-crop and implications for forcing with seasonal weather forecasts |
| VerfasserIn |
K. E. Williams, P. D. Falloon |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 12 ; Nr. 8, no. 12 (2015-12-15), S.3987-3997 |
| Datensatznummer |
250116707
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3987-2015.pdf |
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| Zusammenfassung |
| JULES-crop is a parametrisation of crops in the Joint UK Land Environment
Simulator (JULES). We investigate the sources of the interannual variability
in the modelled maize yield, using global runs driven by reanalysis data,
with a view to understanding the impact of various approximations in the
driving data and initialisation. The standard forcing data set for JULES
consists of a combination of meteorological variables describing
precipitation, radiation, temperature, pressure, specific humidity and wind,
at subdaily time resolution. We find that the main characteristics of the
modelled yield can be reproduced with a subset of these variables and using
daily forcing, with internal disaggregation to the model time step. This has
implications in particular for the use of the model with seasonal forcing
data, which may not have been provided at subdaily resolution for all
required driving variables. We also investigate the effect on annual yield of
initialising the model with climatology on the sowing date. This
approximation has the potential to considerably simplify the use of the model
with seasonal forecasts, since obtaining observations or reanalysis output
for all the initialisation variables required by JULES for the start date of
the seasonal forecast would present significant practical challenges. |
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