Your English writing platform
Free sign upSuggestions(5)
Exact(3)
Prediction of the quantity of ash falls is important for disaster mitigation or prevention.
The aim of the model is the prediction of the quantity of stocked barium nitrate as well as the emissions of NO and NO2, as a function of time and temperature.
The mean of these expected values then provides us with a prediction of the quantity of interest.
Similar(57)
Recent studies by the Meteorological Research Institute (MRI) of JMA and an upgrade of the JMA supercomputer system will allow JMA to improve the current system by adding predictions of the quantity of ash falls and information about expected lapilli falls.
Adding a random source term to the GLE provides accurate prediction of the mean behavior of the quantity of interest (magnetization).
Urban groundwater resources are of considerable importance to the long-term viability of many cities world-wide, yet prediction of the quantity and quality of recharge is only rarely attempted at anything other than a very basic level.
It must be reported in tandem with some measure of the quantity of true predictions made.
A survey of VAFF users conducted in 2012 by JMA in areas close to active volcanoes (e.g. Asamayama, Kirishimayama, and Sakurajima) demonstrated strong demand for forecasts of the quantity of ash falls, prediction of areas of expected lapilli falls, and early issue of VAFFs.
The prediction and diagnostic rule developed here use a metric of the quantity of new information relative to the information previously synthesized.
In this study, the HIS seemed to contribute to the evaluation of the quantity of vascular factors and to the prediction of status of cognitive function.
The prediction techniques based on the JMA Regional Atmospheric Transport Model were recently revised by the Meteorological Research Institute of JMA to allow predictions of the quantity and areas of ash fall, and areas to be affected by lapilli fall.
More suggestions(15)
prediction of the rate of
prediction of the behaviour of
prediction of the occurrence of
prediction of the location of
prediction of the course of
prediction of the structure of
prediction of the development of
prediction of the extent of
prediction of the probability of
prediction of the response of
prediction of the fate of
prediction of the effect of
prediction of the onset of
prediction of the degree of
prediction of the number of
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com