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A section of the piece on an emerging disconnect between climate model projections of warming and observations makes it clear that climate modelers have plenty of work to do.
There are uncertainties in model projections of future climate change.
This vulnerability will increase if climate model projections of greenhouse warming are correct.
This is unexpected from recent theoretical prediction and model projections of the 21st century.
At present there is no reason to suggest this mechanism will change in the future, and our model projections of what will happen to ENSO are uncertain.
I found a nice recent YouTube presentation by Holland on climate model projections of Arctic ice loss that makes a nice closer here for now:.
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On Wall Street, this means developing financial models – projections of how a company will perform based on a set of assumptions.
The sensitivity of the model projections to the choice of birth rate, mortality rate and variability in the underlying oceanography was assessed.
To assess the sensitivity of model projections to variability in the underlying oceanography, simulations were performed with each of the 5 year-specific matrices.
However, the characteristics of model projections for marine species from these different approaches have rarely been compared.
Furthermore, within the model projections for the first quarter of the 21st century, there were differences between the four scenarios.
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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