Spearman rank correlation coefficient between annual anomalies in forest biomass carbon and a) annual anomalies in mean air temperature and b) annual anomalies in total precipitation (Bultan et al.,2022). Description Variables: - Spearman_correlation_forest_bioC_Ta: Spearman correlation coefficient between the anomalies in annual forest vegetation carbon and the anomalies in mean annual air temperature from ERA-5 reanalysis data, calculated between 2000 and 2019. Anomalies are calculated by linearly detrending each variables. Variable is included in the File ‘Spearman_correlation_forest_biomass_carbon_air_temperature_BLUE.nc’. - Spearman_correlation_forest_bioC_P: Spearman correlation coefficient between the anomalies in annual forest vegetation carbon and the anomalies in annual precipitation sums from ERA-5 reanalysis data), calculated between 2000 and 2019. Anomalies are calculated by linearly detrending each variable. Variable is included in the File ‘Spearman_correlation_forest_biomass_carbon_precipitation_BLUE.nc’. - p-value: Significance of the Spearman correlation coefficients, computed with a two-tailed t-test. Correlations are considered significant for p < 0.05. Variable is included in the Files ‘Spearman_correlation_forest_biomass_carbon_air_temperature_BLUE.nc’ and ‘Spearman_correlation_forest_biomass_carbon_precipitation_BLUE.nc’.
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Bultan, Selma; Pongratz, Julia (2022). Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MoDataInToTr21stCLandFl