Data of variability and joint variability of global crop yields and their association with climate

Najafi, Ehsan; Pal, Indrani; Khanbilvardi, Reza

doi:10.1016/j.dib.2019.103745

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Data of variability and joint variability of global crop yields and their association with climate

2019
By Najafi, Ehsan ; Pal, Indrani ; Khanbilvardi, Reza
Source: Data in Brief 23 (103745), 2019

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Journal Title:

Data in Brief
Personal Author:

Najafi, Ehsan ; Pal, Indrani ; Khanbilvardi, Reza

Najafi, Ehsan ; Pal, Indrani ; Khanbilvardi, Reza Less -
NOAA Program & Office:

"CREST" (Center for Earth System Sciences and Remote Sensing Technologies and Tech Center at City College of CUNY)
Description:

We present the output data of Robust Principal Component Analysis (RPCA) applied to global crop yield variability of maize, rice, sorghum and soybean (MRSS) as presented in the publication “Climate drives variability and joint variability of global crop yields” (Najafi et al., 2019). Global maps of the correlation between all the principal components (PCs) acquired from the low rank matrix (L) of MRSS and Palmer Drought Severity Index (PDSI), air temperature anomalies (ATa) and sea surface temperature anomalies (SSTa) are provided in this article. We present co-varying countries, impacted cropland areas across global countries, and 10 global regions by climate and the association between PCs and multiple atmospheric and oceanic indices. Moreover, the joint dependency between PCs of MRSS yields are presented using two different approaches.
Keywords:

[+]

Climatology Crop Yields Drought Mathematical Models
Source:

Data in Brief 23 (103745), 2019
DOI:

https://doi.org/10.1016/j.dib.2019.103745
Pubmed Central ID:

PMC6660635
Document Type:

Journal Article
Funding:

Grant no. NA16SEC4810008
Rights Information:

CC BY
Compliance:

PMC
Main Document Checksum:

[+]

urn:sha256:2c38ea3c8676a8c17db3f44bf773e7d0a6d167f6edeac5b7b0ef1457b3e246ce
Download URL:

https://repository.library.noaa.gov/view/noaa/24223/noaa_24223_DS1.pdf
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Data of variability and joint variability of global crop yields and their association with climate

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