Sentence examples similar to upstream forecasting from inspiring English sources

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Different manufacturing strategies must be developed for pre-OPP operations (i.e. upstream; forecast-driven) vs. post-OPP operations (i.e. downstream, customer-order-driven), since these two stages are fundamentally different.

Such forecasts can be obtained by accurately measuring upstream rainfall forecasts and using these as inputs to river flow models.

When relative drainage area is considered for analyzing streamflow characteristics and spectral patterns, it is found that upstream streamflow is forecasted more accurately (r2 = 0.84) than downstream streamflow (r2 = 0.75).

"Companies often implement collaborative planning and forecasting with upstream vendors and manufacturing partners, but they rarely translate these demand and production forecasts into transportation capacity requirements and share them with the carriers," says Adrian Gonzales, director of ARC's Logistics Executive Council.

But with rains forecast for upstream regions, officials feared that the water in the lake and the adjoining Yangtze River could remain dangerously high for days or weeks to come, and they called for continued vigilance.

Too late, then, to hope that the flash of cobalt blue and orange that streaked upstream like a tiny torpedo could forecast the advent of fair weather.

Hourly data from 1999 2000 at the upstream section of Rottweil were used to forecast flooding at the Oberndorf downstream site with a lead time of 1 6 h.

We generated medium-range forecasts of runoff for a 50 km2 headwater catchment upstream of a reservoir using numerical weather predictions (NWPs) of the past as input to an operational hydrological model.

In addition, a linear strategy of forecasting this optimal power is highly correlated to the precision of upstream meteorological forecast.

Hourly water level data of five upstream gauging stations of a large river basin are considered for hourly water level forecasting.

Based upon information at stations upstream of a river, a back-propagation neural network model was employed in this study to forecast flood discharge at station downstream of the river which lacks measurement.

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