Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 797–821, 2019
Earth Syst. Sci. Data, 11, 797–821, 2019
Review article
12 Jun 2019
Review article | 12 Jun 2019

Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain

Helene Birkelund Erlandsen et al.

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Cited articles

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Bohn, T. J., Livneh, B., Oyler, J. W., Running, S. W., Nijssen, B., and Lettenmaier, D. P.: Global evaluation of MTCLIM and related algorithms for forcing of ecological and hydrological models, Agr. Forest Meteorol., 176, 38–49,, 2013. a, b, c, d, e, f, g, h
Bosilovich, M. G., Akella, S., Coy, L., Cullather, R., Draper, C., Gelaro, R., Kovach, R., Liu, Q., Molod, A., Norris, P., Wargan, K., Chao, W., Reichle, R., Takacs, L., Vikhliaev, Y., Bloom, S., Collow, A., Firth, S., Labow, G., Partyka, G., Pawson, S., Reale, O., Schubert, S. D., and Suarez, M.: MERRA-2: Initial evaluation of the climate Technical Report Series on Global Modeling and Data Assimilation, Tech. rep., NASA/TM–2015-104606, 2015. a, b
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Short summary
Robust estimates of runoff, snow, and evaporation rely on high-quality estimates of incoming solar and thermal radiation at the surface and near surface humidity. Taking advantage of the physical soundness of a numerical weather reanalysis and the preciseness and spatial resolution of a national gridded temperature data set, new estimates of these variables are presented for Norway. Further, existing data sets and observations are compared, emphasizing daily correlation, trends, and gradients.