Data Analysis and Forecasting to Mitigate Climate Change in Drylands Areas

Authors

  • James Crabbe Wolfson College, University of Oxford

DOI:

https://doi.org/10.3991/itdaf.v1i1.33357

Keywords:

Climate modelling, omics, genetics, Arabia, Sahel, Flowering, Thlaspi arvense

Abstract


Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.

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Published

2023-04-03

How to Cite

Crabbe, J. (2023). Data Analysis and Forecasting to Mitigate Climate Change in Drylands Areas. IETI Transactions on Data Analysis and Forecasting (iTDAF), 1(1), pp. 99–102. https://doi.org/10.3991/itdaf.v1i1.33357

Issue

Section

Short Papers