• Brady, R. & Spring, A.(2021). climpred: Verification of weather and climate forecasts. The Journal of Open Source Software, 6(59): 2781. doi:10.21105/joss.02781 [ Fulltext]
  • Dunkl, I., Spring, A., Friedlingstein, P. & Brovkin, V.(2021). Process-based analysis of terrestrial carbon flux predictability. Earth System Science Data, 12, 1413-1426. doi:10.5194/esd-12-1413-2021 [ Fulltext] [ Fulltext]
  • Ilyina, T., Li, H., Spring, A., Müller, W., Bopp, L., Chikamoto, M., Danabasoglu, G., Dobrynin, M., Dunne, J., Fransner, F., Friedlingstein, P., Lee, W.-S., Lovenduski, N., Merryfield, W., Mignot, J., Park, J.-Y., Séférian, R., Sospedra-Alfonso, R., Watanabe, M. & Yeager, S. (2021). Predictable variations of the carbon sinks and atmospheric CO2 growth in a multi-model framework. Geophysical Research Letters, 48: e2020GL090695. doi:10.1029/2020GL090695 [ Fulltext] [ Fulltext]
  • Spring, A., Dunkl, I., Li, H., Brovkin, V. & Ilyina, T.(2021). Trivial improvements of predictive skill due to direct reconstruction of global carbon cycle. Earth System Dynamics, 12, 1139-1167. doi:10.5194/esd-12-1139-2021 [ Fulltext] [ Fulltext]
  • Merryfield, W., Baehr, J., Batté, L., Becker, E., Butler, A., Coelho, C., Danabasoglu, G., Dirmeyer, P., Doblas-Reyes, F., Domeisen, D., Ferranti, L., Ilyina, T., Kumar, A., Müller, W., Rixen, M., Robertson, A., Smith, D., Takaya, Y., Tuma, M., Vitart, F., White, C., Alvarez, M., Ardilouze, C., Attard, H., Baggett, C., Balmaseda, M., Beraki, A., Bhattacharjee, P., Bilbao, R., de Andrade, F., DeFlorio, M., Díaz, L., Ehsan, M., Fragkoulidis, G., Grainger, S., Green, B., Hell, M., Infanti, J., Isensee, K., Kataoka, T., Kirtman, B., Klingaman, N., Lee, J.-Y., Mayer, K., McKay, R., Mecking, J., Miller, D., Neddermann , N., Ng, C., Ossó, A., Pankatz, K., Peatman, S., Pegion, K., Perlwitz, J., Recalde-Coronel, G., Reintges, A., Renkl, C., Solaraju-Murali, B., Spring, A., Stan, C., Sun, Y., Tozer, C., Vigaud, N., Woolnough, S. & Yeager, S. (2020). Current and emerging developments in subseasonal to decadal prediction. Bulletin of the American Meteorological Society, 101, E869-E896. doi:10.1175/BAMS-D-19-0037.1 [ Fulltext]
  • Spring, A. & Ilyina, T.(2020). Predictability horizons in the global carbon cycle inferred from a perfect-model framework. Geophysical Research Letters, 47: e2019GL085311. doi:10.1029/2019GL085311 [ Fulltext] [ Fulltext] [ Fulltext]
  • Spring, A., Ilyina, T. & Marotzke, J.(2020). Inherent uncertainty disguises attribution of reduced atmospheric CO2 growth to CO2 emission reductions for up to a decade. Environmental Research Letters, 15: 114058. doi:10.1088/1748-9326/abc443 [ Fulltext] [ Fulltext]