North Carolina Institute for Climate Studies - 2018

Rao, Y., Liang, S., & Yu, Y. (2018). Land Surface Air Temperature Data Are Considerably Different Among BEST‐LAND, CRU‐TEM4v, NASA‐GISS, and NOAA‐NCEI. Journal of Geophysical Research: Atmospheres, 123(11), 5881–5900. https://doi.org/10.1029/2018JD028355

Li, Y., Chen, J., & Rao, Y. (2018). A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 379–389. https://doi.org/10.1016/j.isprsjprs.2018.08.006

Peng, G., Ramapriyan, H. K., & Moroni, D. (2018). ESIP Information Quality Cluster - Fostering collaborations in managing Earth Science Data Quality. Research Data Alliance (RDA) Europe,

Peng, G. (2018). The State of Assessing Data Stewardship Maturity – An Overview. Data Science Journal, 17. https://doi.org/10.5334/dsj-2018-007

Peng, G., Privette, J. L., Tilmes, C., Bristol, S., Maycock, T., Bates, J. J., … Kearns, E. J. (2018). A Conceptual Enterprise Framework for Managing Scientific Data Stewardship. Data Science Journal. https://doi.org/10.5334/dsj-2018-015

Peng, G., Steele, M., Bliss, A., Meier, W., & Dickinson, S. (2018). Temporal Means and Variability of Arctic Sea Ice Melt and Freeze Season Climate Indicators Using a Satellite Climate Data Record. Remote Sensing, 10(9), 1328. https://doi.org/10.3390/rs10091328

Peng, G., Milan, A., Ritchey, N. A., Partee, R. P., II, Zinn, S., McQuinn, E., … Collins, D. (2018, October 18). Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project (Vol. 10). Vol. 10. https://doi.org/10.31219/osf.io/fp3js

Ferraro, R. R., Nelson, B. R., Smith, T., & Prat, O. P. (2018). The AMSU-Based Hydrological Bundle Climate Data RecordDescription and Comparison with Other Data Sets. Remote Sensing, 10(10), 18. https://doi.org/10.3390/rs10101640

Dai, Y., Li, H., & Sun, L. (2018). The Simulation of East Asian Summer Monsoon Precipitation With a Regional Ocean-Atmosphere Coupled Model. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(20), 11362–11376. https://doi.org/10.1029/2018JD028541

Zhang, J., Su, X., Pennec, Y., Jing, Y., Liu, X., & Hu, N. (2018). Wavefront steering of elastic shear vertical waves in solids via a composite-plate-based metasurface. JOURNAL OF APPLIED PHYSICS, 124(16). https://doi.org/10.1063/1.5049515

Lei, X., Zhang, W., Zhang, J., Dinh, N., & Li, H. (2018). Experimental investigations on the boiling heat transfer of horizontal flow in the near-critical region. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 125, 618–628. https://doi.org/10.1016/j.ijheatmasstransfer.2018.04.043

Dornburg, A., Warren, D. L., Zapfe, K. L., Morris, R., Iglesias, T. L., Lamb, A., … Wong, R. (2018). Testing ontogenetic patterns of sexual size dimorphism against expectations of the expensive tissue hypothesis, an intraspecific example using oyster toadfish (Opsanus tau). ECOLOGY AND EVOLUTION, 8(7), 3609–3616. https://doi.org/10.1002/ece3.3835

Bell, J. E., Brown, C. L., Conlon, K., Herring, S., Kunkel, K. E., Lawrimore, J., … Uejio, C. (2018). [Review of Changes in extreme events and the potential impacts on human health]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 68(4), 265–287. https://doi.org/10.1080/10962247.2017.1401017

Kim, B., Seo, D.-J., Noh, S. J., Prat, O. P., & Nelson, B. R. (2018). Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation. JOURNAL OF HYDROLOGY, 556, 1096–1109. https://doi.org/10.1016/j.jhydrol.2016.10.052

Herring, S. C., Christidis, N., Hoell, A., Kossssin, J. P., Schreck, C. J., III, & Stott, P. A. (2018, January). INTRODUCTION TO EXPLAINING EXTREME EVENTS OF 2016 FROM A CLIMATE PERSPECTIVE. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, Vol. 99, pp. S1–S6. https://doi.org/10.1175/bams-d-17-0284.1

Stott, P. A., Christidis, N., Herring, S. C., Hoell, A., Kossssin, J. P., & Schreck, C. J., III. (2018). FUTURE CHALLENGES IN EVENT ATTRIBUTION METHODOLOGIES. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 99(1), S155–S157. https://doi.org/10.1175/bams-d-17-0285.1

Peng, G., Matthews, J. L., & Yu, J. T. (2018). Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data. REMOTE SENSING, 10(2). https://doi.org/10.3390/rs10020230