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GALOCAD project "Development of a Galileo Local Component for the nowcasting and forecasting of atmospheric disturbances affecting the integrity of high precision Galileo applications" aims to perform a detailed study on ionospheric small- and medium-scale structures and to assess the influence of these structures on the reliability of Galileo precise positioning applications.
In 904 AD, Ibn Wahshiyya's Nabatean Agriculture discussed the weather forecasting of atmospheric changes and signs from the planetary astral alterations; signs of rain based on observation of the lunar phases; and weather forecasts based on the movement of winds.
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One U.S. project — a collaboration between NOAA, NASA, Scripps, and other agencies to improve forecasts of atmospheric rivers — is underway in California.
Now seasonal forecasts are one of the pillars of the EU Copernicus Climate Change Service (C3S), and the ocean is included in all ECMWF probabilistic forecasting systems, contributing the provision of forecasts of atmospheric conditions from days to months and seasons ahead.
Whilst numerical models can provide accurate forecasts of atmospheric ash dispersion patterns, they rely on precise knowledge of key eruption parameters such as maximum plume height and mass ejection rates at the vent, which remain loosely constrained.
Whilst numerical models can provide detailed forecasts of atmospheric ash dispersion patterns, they rely on accurate knowledge of key parameters such as initial plume height and mass eruption rates, which remain loosely constrained.
(a Air Pollution Forecast: An internal watch by the Department of Air Pollution Control shall be actuated by a National Weather Service advisory that Atmospheric Stagnation Advisory is in effect or the equivalent local forecast of stagnant atmospheric condition.
An accurate forecast of the atmospheric Total Electron Content (TEC) is helpful to investigate space weather influences on the ionosphere and technical applications like satellite-receiver radio links.
The difference operation between seasonal forecast and the monthly average of atmospheric forecast over a set of years in the past (the "climatology") eliminates this tendency, using the same numerical model, region and period of integration.
Comparison of these results to those of the Global Fire Emissions Database (GFEDv2) indicate strong linear relationships (r² > 0.9), suggesting that the timely FRP data available from a GOES real-time data feed is likely to be a suitable fire emissions source strength term for inclusion in schemes aiming to forecast the concentrations of atmospheric constituents affected by biomass burning.
Rev. 102, 409 418 (1974)Discusses the estimation of atmospheric forecast uncertainties using a Monte Carlo approach based on an ensemble of perturbed numerical predictions.
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