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Atsuhiro Takahashi, Tomo’omi Kumagai, Hironari Kanamori, Hatsuki Fujinami, Tetsuya Hiyama, and Masayuki Hara
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Bernard Pinty, Malcolm Taberner, Vance R. Haemmerle, Susan R. Paradise, Eric Vermote, Michel M. Verstraete, Nadine Gobron, and Jean-Luc Widlowski

There is an error in a reference that appeared in Pinty et al. (2011) . The reference corresponding to the citation “(e.g., Betts et al. 2007 )” on page 733 should read as follows: Betts, R. A., P. D. Falloon, K. K. Goldewijk, and N. Ramankutty, 2007: Biogeophysical effects of land use on climate: Model simulations of radiative forcing and large-scale temperature changes. Agric. For. Meteor., 142, 216–233, doi:10.1016/j.agrformet.2006.08.021. REFERENCES Betts , R. A. , P. D. Falloon

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Omar V. Müller, Ernesto Hugo Berbery, Domingo Alcaraz-Segura, and Michael B. Ek

region. Only data over land were considered. REFERENCE Müller , O. V. , E. H. Berbery , D. Alcaraz-Segura , and M. B. Ek , 2014 : Regional model simulations of the 2008 drought in southern South America using a consistent set of land surface properties . J. Climate , 27 , 6754 – 6778 , doi: 10.1175/JCLI-D-13-00463.1 .

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Sachiho A. Adachi, Fujio Kimura, Hiroyuki Kusaka, Tomoshige Inoue, and Hiroaki Ueda

figures appear below. Fig . 8. Histograms of hourly surface temperature at the Nerima and Kumagaya stations. The histograms were calculated from the observations (black), CTL_p2 (red), LAND_2070s (green), and PGW-multi (blue). The model results were calculated using the data on the nearest grid cell to each AMeDAS station. Fig . 9. Surface temperature change from the 1990s to the 2070s. The gray bar shows the temperature change due to future urbanization (LAND_2070s − CTL_p2), the white bar indicates

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Bart J. H. van Stratum, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden, and Huug G. Ouwersloot

In appendix B, section c of van Stratum et al. (2014) , two errors were introduced in the case description of the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS) case. To ensure reproducibility and consistency with Fig. 4 of van Stratum et al. (2014) , we propose the following amendment. The corrected surface moisture flux and input sounding, as used in the large-eddy simulation (LES) experiments, are provided in Eq. (1) [Eq. (B2) in van Stratum et al. 2014 ] and Table

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Ben Livneh, Eric A. Rosenberg, Chiyu Lin, Bart Nijssen, Vimal Mishra, Kostas M. Andreadis, Edwin P. Maurer, and Dennis P. Lettenmaier

. , E. A. Rosenberg , C. Lin , B. Nijssen , V. Mishra , K. M. Andreadis , E. P. Maurer , and D. P. Lettenmaier , 2013 : A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Update and extensions . J. Climate , 26 , 9384 – 9392 . Fig . 1. L13 minus M02 for (top) summer [June–August (JJA)] and (bottom) winter [December–February (DJF)] mean monthly (left) precipitation, (center) max temperature, and (right) min

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Melissa L. Wrzesien, Michael T. Durand, Tamlin M. Pavelsky, Ian M. Howat, Steven A. Margulis, and Laurie S. Huning

.20387 Hedrick , A. , H.-P. Marshall , A. Winstral , K. Elder , S. Yueh , and D. Cline , 2015 : Independent evaluation of the SNODAS snow depth product using regional-scale lidar-derived measurements . Cryosphere , 9 , 13 – 23 , . 10.5194/tc-9-13-2015 Kumar , S. V. , and Coauthors , 2016 : Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System . J. Hydrometeor. , 17 , 1951 – 1972

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maximum intensityin use at National Severe Storms Laboratory. 8.Size distribution of graupel and hail. 325.SMITH, ARTHUR H., JR.:SMITH, D. L.:Picture of month-turbulent region. 408.and W. A. Schulz. Weather note-powerline breaks-potentialaid in tornado identification and tracking. 307.SMITH, W. L.:and P. Krishna Rao and R. Koffler. Global sea-surface tempera-ture distribution determined from environmental satellite. 10.and Russell J. Younkin. Operationally useful relationship be-SMITH, WARRENtween

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Joseph B. Olson, Brian A. Colle, Nicholas A. Bond, and Nathaniel Winstead

significantly different from the 4-km nest, so the 1.33-km results are not highlighted in this paper. Each model domain was run simultaneously using one-way nesting, so that the impact of different model resolutions can be quantified. Thirty-two model sigma levels were applied, with 15 levels below 700 hPa in order to better resolve the boundary layer processes. A 10′ and 1′ land-use and topography dataset was utilized in the 36- and 12-km domains, respectively, while the 4-km domain used a 30″ topography

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