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| Titel |
Testing gridded land precipitation data and precipitation and runoff reanalyses (1982–2010) between 45° S and 45° N with normalised difference vegetation index data |
| VerfasserIn |
S. O. Los |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 4 ; Nr. 19, no. 4 (2015-04-14), S.1713-1725 |
| Datensatznummer |
250120679
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| Publikation (Nr.) |
 copernicus.org/hess-19-1713-2015.pdf |
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| Zusammenfassung |
| The realistic simulation of key components of the land-surface hydrological
cycle – precipitation, runoff, evaporation and transpiration, in general
circulation models of the atmosphere – is crucial to assess adverse weather
impacts on environment and society. Here, gridded precipitation data from
observations and precipitation and runoff fields from reanalyses were tested
with satellite derived global vegetation index data for 1982–2010 and
latitudes between 45° S and 45° N. Data were obtained from
the Climate Research Unit (CRU), the Global Precipitation Climatology Project
(GPCP) and Tropical Rainfall Monitoring Mission (TRMM; analysed for
1998–2010 only) and precipitation and runoff reanalyses were obtained from
the National Centers for Environmental Prediction/National Center for
Atmospheric Research (NCEP/NCAR), the European Centre for Medium-Range
Weather Forecasts (ECMWF) and the NASA Global Modelling and Assimilation
Office (GMAO). Annual land-surface precipitation was converted to annual
potential vegetation net primary productivity (NPP) and was compared to mean
annual normalised difference vegetation index (NDVI) data measured by the
Advanced Very High Resolution Radiometer (AVHRR; 1982–1999) and Moderate
Resolution Imaging Spectroradiometer (MODIS; 2001–2010). The effect of
spatial resolution on the agreement between NPP and NDVI was investigated as
well. The CRU and TRMM derived NPP agreed most closely with the NDVI data.
The GPCP data showed weaker spatial agreement, largely because of their lower
spatial resolution, but similar temporal agreement. MERRA Land and ERA
Interim precipitation reanalyses showed similar spatial agreement to the GPCP
data and good temporal agreement in semi-arid regions of the Americas, Asia,
Australia and southern Africa. The NCEP/NCAR reanalysis showed the lowest
spatial agreement, which could only in part be explained by its lower spatial
resolution. No reanalysis showed realistic interannual precipitation
variations for northern tropical Africa. Inclusion of runoff in the NPP
prediction resulted only in marginally better agreement for the MERRA Land
reanalysis and slightly worse agreement for the NCEP/NCAR and ERA Interim
reanalyses. |
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