Sentence examples for merged product from inspiring English sources

The merged product, dubbed SpringSource Cloud Foundry, is immediately available at CloudFoundry.com in free public beta.

53 According to their study, a striking proportion of 50% of prostate cancers were found to contain a merged product of the 5′ untranslated region of TMPRSS2 (21q22), an androgen-regulated gene, and the protein-coding sequences of ERG (21q22), an erythroblast transformation-specific (ETS) transcription factor.

On the contrary, the gridded and interpolated AVISO merged product exhibits the best agreement with tide gauge data as it provides the smoothest variability both in space and time compared with along track altimetry data.

For ocean colour, there are examples of merged products from SeaWiFS, MODIS and Medium Resolution Imaging Spectrometer (MERIS) radiances [6].

However, decadal trends in terrestrial water storage changes (TWSC) over all five basins inferred from the merged products tend to increase to some extent with climate warming over the studied time period.

To represent past regional hydrology and seasonal hydrological extreme events, we believe it is feasible to use some large precipitation datasets such as i) climate reanalysis, which is mainly based on a land surface component, and ii) datasets based on merged products.

The MGWR-BI algorithm was then applied to produce hourly merged precipitation product.

The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2 5 when when compared to the individual products.

Two different SST datasets available from the National Centers for Environmental Prediction (NCEP) global model analysis and merged satellite product from Group for High Resolution SST (GHRSST) are used as a lower boundary condition in the WRF model for the Indian Summer Monsoon (ISM) 2010.

Making use of a new merged ocean-colour product, from the European Space Agency (ESA) Climate Change Initiative, and in situ data in the region, we test the performance of a series of ocean-colour chlorophyll algorithms.

The merged VULCAN-ODIAC product was then transported forward to observation locations using the Stochastic Time-Inverted Lagrangian Transport model [ Lin et al., 2003], driven by meteorological fields from the Weather Research and Forecast (WRF) model [ Skamarock and Klemp, 2008].