Model-based tools for assessing space and time change in daily maximum temperature: an application to the Ebro basin in Spain
Ana C. Cebri\'an, Jes\'us As\'in, Jorge Castillo-Mateo, Alan E., Gelfand, and Jes\'us Abaurrea

TL;DR
This paper introduces model-based tools to analyze spatial and temporal changes in daily maximum temperatures, demonstrating their application to climate change assessment in the Ebro basin, Spain, using Bayesian hierarchical models.
Contribution
The paper presents a flexible set of tools for assessing space-time temperature change using outputs from any suitable model, with an application to climate change analysis in Spain.
Findings
Risk of temperature exceedance increased, especially in the Ebro valley and Pyrenees.
Extent of high-temperature days increased by 3.5% per decade.
Majority of the region experienced positive temperature increments, often exceeding 1°C.
Abstract
There is continuing interest in the investigation of change in temperature over space and time. We offer a set of tools to illuminate such change temporally, at desired temporal resolution, and spatially, according to region of interest, using data generated from suitable space-time models. These tools include predictive spatial probability surfaces and spatial extents for an event. Working with exceedance events around the center of the temperature distribution, the probability surfaces capture the spatial variation in the risk of an exceedance event, while the spatial extents capture the expected proportion of incidence of a given exceedance event for a region of interest. Importantly, the proposed tools can be used with the output from any suitable model fitted to any set of spatially referenced time series data. As an illustration, we employ a dataset from 1956 to 2015 collected…
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Taxonomy
Topicsdemographic modeling and climate adaptation · Climate variability and models · Spatial and Panel Data Analysis
