True, the choice of the economic scenario used to drive the model creates an implicit potential error, but that's the reason why climate
modellers develop a range of possible economic scenarios to test in the model.
Not exact matches
This type of research involves interdisciplinary teams of climate - change scientists, biologists, geneticists,
modellers and engineers who are using and
developing new technologies and research platforms to unlock the vast stores of information within plant genomes.
Planetary
modellers have been trying to
develop collision scenarios in which the Moon and Earth ended up chemically similar, but not identical, after the Moon - forming impact.
The team at Johnson Matthey might spend a typical day
developing materials from scratch, testing them or telling
modellers about their results to help plan future experiments.
The practical and profitable path is to build on this wonderful tool Marcott has
developed, beat the flaws out of it, and use it to validate Holocene - spanning GCMs (now that we can contemplate such as technically feasible in the near future) by comparing their outputs — which
modellers can make as granular as computers can handle, thereby answering such questions as how probable is it the current rise is the fastest in the Holocene period — through a filter that derives the probable curves of proxies.