Sentences with phrase «regional temperature change using»

Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys.

Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones, 2012: Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset.

Not exact matches

Production may be directly affected by changes in crop photosynthesis and water use due to rising CO2 and changes in regional temperature patterns.

Using models to distinguish between the forcing histories is thus likely to require a tighter focus on regional changes, or in climate patterns, more than the just the mean temperature.

First, never use a local regional temperature record to diagnose global change.

A central topic will be teleconnections in the climate system, i.e. how a change in climate in one part of the globe (e.g. temperatures in the Atlantic or shrinking sea ice cover in the Arctic) can influence climate on other parts of the globe (e.g. Eurasian winter temperatures), and how we can use this information to improve regional climate prediction and therefore regional climate service.

During the past century land use change has given rise to regional changes in the local surface climatology, particularly the mean and variability of near surface temperature (Pitman et al, 2012).

The IPCC and its closely controlled peer review journals have now admitted that land - use changes do indeed have a major impact on climate change and local / regional and even global temperatures.

A 2015 study using regional ice core data reveals no unusual temperature changes but an exceptional 30 % increase in snow accumulation during the twentieth century, again supporting Zwally's analysis of mass gain in interior west Antarctica.

In this study, more than 1000 tree - ring, ice core, coral, sediment and other assorted proxy records spanning both hemispheres were used to construct regional temperature change over the past 1500 years.

The same should be true for climate change we should evaluate the changes in temperature (not anomalies) over time at the same stations and present the data as a spaghetti graph showing any differing trends and not assume that regional or climates in gridded areas are the same — which they are not as is obvious from the climate zones that exist or microclimates due to changes in precipitation, land use etc..

Lower case a-h refer to how the literature was addressed in terms of up / downscaling (a — clearly defined global impact for a specific ΔT against a specific baseline, upscaling not necessary; b — clearly defined regional impact at a specific regional ΔT where no GCM used; c — clearly defined regional impact as a result of specific GCM scenarios but study only used the regional ΔT; d — as c but impacts also the result of regional precipitation changes; e — as b but impacts also the result of regional precipitation change; f — regional temperature change is off - scale for upscaling with available GCM patterns to 2100, in which case upscaling is, where possible, approximated by using Figures 10.5 and 10.8 from Meehl et al., 2007; g — studies which estimate the range of possible outcomes in a given location or region considering a multi-model ensemble linked to a global temperature change.

Using existing output data from global climate models, the researchers plotted projections of changes in global average temperature and rainfall against regional changes in daily extremes.