Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Patterns Identification and Data Mining in Weather and Climate

Patterns Identification and Data Mining in Weather and Climate

Hannachi, Abdelwaheb

Paperback

Series: Springer Atmospheric Sciences

DatabasesEnvironmental StudiesGeneral Computers

Currently unavailable to order

ISBN10: 3030670759
ISBN13: 9783030670757
Publisher: Springer Nature
Published: Jun 3 2022
Pages: 600
Weight: 2.25
Height: 0.94 Width: 5.83 Depth: 8.98
Language: English

Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number oftechnical appendices are also provided, making the text particularly suitable for didactic purposes.

Also in

Environmental Studies

View All