(For more information see climate: Climatic classification: World distribution of major climatic types: Highland climates).
Collection and analysis of additional geochemical data may decrease uncertainty in capability of the PTn and altered CHn hydrogeologic units to create barriers to vertical flow, improving confidence in future climatic predictions.
[Read the rest.] There's a batch of relevant analysis in the newly posted special issue of the journal Climatic Change on "guidance for communicating uncertainty and confidence" (the statistical definition of confidence) in the reports of the Intergovernmental Panel on Climate Change.
For each climatic variable we report adjusted odds ratios (aOR), 95% confidence intervals and p-values.
What this means for the risk of flooding, however, will vary widely from location to location depending on local climatic changes that at present are difficult to predict with confidence.
The odds ratios for each climatic region were statistically significant, and varied from 1.07 [95% confidence interval: 1.01, 1.15] in the Southwest region to 1.18 [95% confidence interval: 1.15, 1.21] in the East North Central region.
Although we are not able to link diversification events to individual climatic events (i.e. a particular glacial-interglacial cycle) with any confidence, these dates provide a coarse-resolution estimate of diversification timing.
These results provide reasonable confidence in the spatially distributed BCM estimates of recharge, runoff, and climatic water deficit throughout the entire state, including ungaged basins.
For the demographic and climatic variables, the point estimates of regression coefficients also increased with aggregation, although confidence intervals increased and point estimates were not statistically different between geographical units (i.e. point estimates for one geographical unit were included in the confidence intervals of estimates from other geographical units).
This study quantifies the level of agreement between a full suite of projected climatic futures, providing a more robust and conservative estimate of impact and thus more confidence to support conservation action.
