Abstract
Aiming to gain insight into probable climate change regime in the Gulf of California, a spatiotemporal simulation of sea surface temperature (SST) for the years 1998–2015 based on monthly satellite images with spatial resolution of 4 km was undertaken. In addition to SST’s time series, El Niño Southern Oscillation (ENSO) Multivariate Index (MEI) and monthly standardized SST anomalies (SSTA) for the study area were further taken in consideration. Arrival dates for summer transition, SST ≥ 25 ℃, showed up 15.5 days earlier for the 2007 to 2015 period, with respect to the 1998–2006 period. In contrast, the winter transition, SST < 25 ℃, for such period turned up 3.9 days later, which add up to 20 extra days of summer for this time series. Furthermore, for the later period, the spatial distribution of surface waters with SST > 26 ℃ covered an extra 10% of the Gulf’s area. Additionally, the SST variability showed an annual positive trend of 0.04 ℃, 0.72 ℃ total for the series, according to Theil-Sen trend estimation.
Original language | English |
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Title of host publication | Supercomputing - 9th International Conference, ISUM 2018, Revised Selected Papers |
Editors | Isidoro Gitler, Jaime Klapp, Andrei Tchernykh, Moises Torres |
Publisher | Springer Verlag |
Pages | 167-181 |
Number of pages | 15 |
ISBN (Print) | 9783030104474 |
DOIs | |
State | Published - 2019 |
Event | 9th International Conference on Supercomputing, ISUM 2018 - Mérida, Mexico Duration: 5 Mar 2018 → 9 Mar 2018 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 948 |
ISSN (Print) | 1865-0929 |
Conference
Conference | 9th International Conference on Supercomputing, ISUM 2018 |
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Country/Territory | Mexico |
City | Mérida |
Period | 5/03/18 → 9/03/18 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2019.
Keywords
- ENSO
- Gulf of California
- MEI
- SST