Tegen, I.; Werner, M.; Harrison, S. P.; Kohfeld, K. E.: Reply to comment by N. M. Mahowald et al. on "Relative importance of climate and land use in determining present and future global soil dust emission''. Geophysical Research Letters 31 (24), p. L24106 (2004)
Bopp, L.; Kohfeld, K. E.; Le Quéré, C.; Aumont, O.: Dust impact on marine biota and atmospheric CO2 during glacial periods. Paleoceanography 18 (2), p. 1046 (2003)
Engelstädter, S.; Kohfeld, K. E.; Tegen, I.; Harrison, S. P.: Controls of dust emissions by vegetation and topographic depressions: An evaluation using dust storm frequency data. Geophysical Research Letters 30 (6), p. 1294 (2003)
Frechen, M.; Oches, E. A.; Kohfeld, K. E.: Loess in Europe - mass accumulation rates during the Last Glacial Period. Quaternary Science Reviews 22 (18-19), pp. 1835 - 1857 (2003)
Kohfeld, K. E.; Harrison, S. P.: Glacial-interglacial changes in dust deposition on the Chinese Loess Plateau. Quaternary Science Reviews 22 (18-19), pp. 1859 - 1878 (2003)
Bopp, L.; Kohfeld, K. E.; Le Quéré, C.; Aumont, O.: Dust impact on marine biota and atmospheric CO2 in glacial periods. Geochimica et Cosmochimica Acta 66 (15A), p. A91 - A91 (2002)
Tegen, I.; Harrison, S. P.; Kohfeld, K. E.; Mctainsh, G.: Modeling the role of mineral aerosols in global climate cycles. EOS, Transactions of the American Geophysical Union 83 (36), pp. 395 - 400 (2002)
Harrison, S. P.; Kohfeld, K. E.; Roelandt, C.; Claquin, T.: The role of dust in climate changes today, at the last glacial maximum and in the future. Earth-Science Reviews 54 (1-3), pp. 43 - 80 (2001)
Kohfeld, K. E.; Anderson, R. F.; Lynch-Stieglitz, J.: Carbon isotopic disequilibrium in polar planktonic Foraminifera and its impact on modern and Last Glacial Maximum reconstructions. Paleoceanography 15 (1), pp. 53 - 64 (2000)
Kohfeld, K. E.; Harrison, S. P.: How well can we simulate past climates? Evaluating the models using global palaeoenvironmental datasets. Quaternary Science Reviews 19 (1-5), pp. 321 - 346 (2000)
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