Data for "Reduced North American terrestrial primary productivity linked to anomalous Arctic warming"

Version 4 2017-06-18, 23:52

Version 3 2017-06-01, 01:13

Version 2 2017-06-01, 01:00

Version 1 2017-05-31, 16:12

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posted on 2017-06-18, 23:52 authored by Jin-Soo KimJin-Soo Kim, Jong-Seong Kug, Su-Jong Jeong

Regression coefficients between de-trended March ART index and anomalies with binary files and relevant ctl files.

As standard deviation of March ART index is 2.55761, you should multiplied 2.55761 to regression coefficient to get ART-related anomalies to 1 standard deviation of ART index.

Filenames indicate each data as follows:
hgt300: 300hPa Geopotential height

hgt850: 850hPa Geopotential height

mslp: mean sea level pressure

pre: CRU precipitation

tmp: CRU temperature

u300: 300hPa zonal wind

u850: 850hPa zonal wind

v300: 300hPa meridional wind

v850: 850hPa meridional wind

ndvi: GIMMS NDVI

mte: MTE GPP

mstmip: MSTMIP GPP

All datasets are computed by IDL code (doi: https://doi.org/10.6084/m9.figshare.5053948).

Funding

J.-S.Kug and J.-S.Kim were supported by the Korean Meteorological Administration Research and Development Program under Grant KMIPA2015-2092 and National Research Foundation of Korea (NRF-2017R1A2B3011511). S.-J.J. was supported by the startup of South University of Science and Technology of China.

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Keywords

Arctic warming teleconnection North America terrestrial productivity GPP Atmospheric Sciences Climate Science

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