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About GISS

Research at the NASA Goddard Institute for Space Studies (GISS) emphasizes a broad study of global change, which is an interdisciplinary initiative addressing natural and man-made changes in our environment that occur on various time scales — from one-time forcings such as volcanic explosions, to seasonal and annual effects such as El Niño, and on up to the millennia of ice ages — and that affect the habitability of our planet.

GISS is located at Columbia University in New York City. The institute is a laboratory in the Earth Sciences Division of NASA's Goddard Space Flight Center and is affiliated with the Columbia Earth Institute and School of Engineering and Applied Science.

Recent Publications

Mishchenko, M.I., I.V. Geogdzhayev, and P. Yang, 2016: Expansion of tabulated scattering matrices in generalized spherical functions. J. Quant. Spectrosc. Radiat. Transfer, 183, 78-84, doi:10.1016/j.jqsrt.2016.05.015.

Pugh, T.A.M., C. Müller, J. Elliott, D. Deryng, C. Folberth, S. Olin, E. Schmid, and A. Arneth, 2016: Climate analogues suggest limited potential for intensification of production on current croplands under climate change. Nature Commun., 7, 12608, doi:10.1038/ncomms12608.

Mishchenko, M.I., and J.M. Dlugach, 2016: Scattering of Gaussian beams by disordered particulate media. J. Quant. Spectrosc. Radiat. Transfer, 183, 85-89, doi:10.1016/j.jqsrt.2016.04.016.

Wong, S., A.D. Del Genio, T. Wang, B.H. Kahn, E.J. Fetzer, and T.S. L'Écuyer, 2016: Responses of tropical ocean clouds to the large-scale dynamical circulation: Atmospheric water budget-related phase space and dynamical regimes. J. Clim., 29, no. 19, 7127-7143, doi:10.1175/JCLI-D-15-0712.1.

Confalonieri, R., S. Bregaglio, M. Adam, F. Ruget, T. Li, T. Hasegawa, X. Yin, Y. Zhu, K. Boote, S. Buis, T. Fumoto, D. Gaydon, T. Lafarge, M. Marcaida, H. Nakagawa, A.C. Ruane, B. Singh, U. Singh, L. Tang, F. Tao, J. Fugice, H. Yoshida, Z. Zhang, L.T. Wilson, J. Baker, Y. Yang, Y. Masutomi, D. Wallach, M. Acutis, and B. Bouman, 2016: A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations. Environ. Model. Softw., 85, 332-341, doi:10.1016/j.envsoft.2016.09.007.