Pinpointing climate impacts
Climate-change projections are typically available at coarse scales, ranging 70-400km. But models for the impact of climate change for many agricultural plant varieties require data at finer scales. The researchers used techniques to increase the spatial resolution (a process known as downscaling) and to correct errors (a process known as bias correction) to create high-resolution future climate data for 436 scenarios.
“This is a critical resource for modeling more realistically the future of crops and ecosystems,” said Carlos Navarro, the lead author of the study who is affiliated with CIAT and CCAFS.
https://m.phys.org/news/2020-01-climate-backyard-dataset.html