Large-scale exploratory analysis of the spatiotemporal distribution of climate projections: applying the STRIVIng toolbox

Large-scale exploratory analysis of the spatiotemporal distribution of climate projections: applying the STRIVIng toolbox

Diaz, Vitali (TU Delft Water Resources; IHE Delft Institute for Water Education)
Corzo, Gerald A. (IHE Delft Institute for Water Education)
Pérez, José R. (Instituto Nacional de Recursos Hidráulicos)

Corzo, G. (editor)
Varouchakis, E.A. (editor)

2019

Extreme hydrological events (EHEs), such as droughts and floods, vary spatially and temporally in nature. The increase in the number of events in the last few decades has motivated the research of the spatiotemporal variability of the future extreme precipitation and temperature. To study the consequences on the EHEs due to the uncertainty of projected climate changes, the analysis in more detail of precipitation and temperature, in space and time, is vital. In addition, for proper planning and decision-making process to address EHEs, understanding such climate changes requires more information. In this chapter we present a summarized assessment of the spatiotemporal variations of climate projections. A simplified way to aggregate global data is used for the spatiotemporal analysis of precipitation and temperature. To carry out this analysis, the Spatio-TempoRal distribution and Interannual VarIability of projections (STRIVIng) toolbox is proposed for statistical exploratory analysis of climate projections. Three large-scale applications were carried out for illustration: Dominican Republic (48,670 km²), Mexico (1,972,550 km²), and Amazon basin (6,171,148.7 km²). The methodology and toolbox presented here allow regions to be identified where the changes are expected to be more severe on precipitation and temperature, as well as months in which those changes are likely to occur. The STRIVIng toolbox is open source and helps to provide basic information to increase the interpretations and research in the space–time analysis of extremes.

Climate change
Global models analysis
Precipitation and temperature projections
STRIVIng toolbox
Spatiotemporal

http://resolver.tudelft.nl/uuid:5b878636-0667-4441-9481-f61917194622

https://doi.org/10.1016/B978-0-12-811689-0.00003-3

Elsevier

2019-07-11

9780128117316

Spatiotemporal Analysis of Extreme Hydrological Events

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

book chapter

© 2019 Vitali Diaz, Gerald A. Corzo, José R. Pérez