Temperature-driven global sea-level variability in the Common Era by Kopp, Robert E., Kemp, Andrew C., Bittermann, Klaus, Horton, Benjamin P., Donnelly, Jeffrey P., Gehrels, W. Roland, Hay, Carling C., Mitrovica, Jerry X., Morrow, Eric D., Rahmstorf, Stefan

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The CoralHydro2k database: a global, actively curated compilation of coral δ18O and Sr/Ca proxy records of tropical ocean hydrology and temperature for the Common Era by Walter, Rachel M., Sayani, Hussein R., Felis, Thomas, Cobb, Kim M., Abram, Nerilie J., Arzey, Ariella K., Atwood, Alyssa R., Brenner, Logan D., Dassié, Émilie P., Delong, Kristine L., Ellis, Bethany, Emile-Geay, Julien, Fischer, Matthew J., Goodkin, Nathalie Fairbank, Hargreaves, Jessica A., Kilbourne, K. Halimeda, Krawczyk, Hedwig, Mckay, Nicholas P., Moore, Andrea L., Murty, Sujata A., Ong, Maria Rosabelle, Ramos, Riovie D., Reed, Emma V., Samanta, Dhrubajyoti, Sanchez, Sara C., Zinke, Jens, PAGES CoralHydro2k Project Members

“…To increase the utility of such reconstructions, we present the CoralHydro2k database, a compilation of published, peer-reviewed coral Sr/Ca and δ18O records from the Common Era (CE). The database contains 54 paired Sr/Ca-δ18O records and 125 unpaired Sr/Ca or δ18O records, with 88% of these records providing data coverage from 1800CE to the present. …”
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Timing of emergence of modern rates of sea-level rise by 1863 by Walker, Jennifer S., Kopp, Robert E., Little, Christopher M., Horton, Benjamin Peter

“…Regional and local sea-level changes occurring over different time periods drive the spatial pattern in emergence, suggesting regional processes underlie centennial-timescale sea-level variability over the Common Era.…”
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A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change by Cahill, Niamh, Kemp, Andrew C., Horton, Benjamin Peter, Parnell, Andrew C.

“…Our approach is illustrated using a case study of Common Era sea-level variability from New Jersey, USA We develop a new B-TF using foraminifera, with and without the additional (δ13C) proxy and compare our results to those from a widely used weighted-averaging transfer function (WA-TF). …”
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A new perspective on eruption data completeness: insights from the First Recorded EruptionS in the Holocene (FRESH) database by Burgos, Vanesa, Jenkins, Susanna F., Bebbington, Mark, Newhall,Chris, Taisne, Benoit

“…Regional RCDs in the Common Era (CE) range from as recently as 1964 CE in the Indian Ocean (southern) to 200 CE in Middle East and Western Indian Ocean. …”
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Hydroclimate variability of western Thailand during the last 1400 years by Chawchai, Sakonvan, Liu, Guangxin, Bissen, Raphael, Scholz, Denis, Riechelmann, Dana F. C., Vonhof, Hubert, Mertz-Kraus, Regina, Chiang, Hong-Wei, Tan, Liangcheng, Wang, Xianfeng

“…Here, we present a new multi-proxy (δ18O and δ13C values, trace element concentrations, and grayscale values) data set of stalagmite KPC1 from Khao Prae cave in western Thailand spanning the last 1400 years (500–1900 CE; the Common Era). These multi-proxy data reveal a high variability between the wet and dry periods during 500–850 CE and 1150–1300 CE, stable climate conditions during 850–1150 CE, and overall dry conditions since 1300 CE. …”
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Incorporating temporal and spatial variability of salt-marsh foraminifera into sea-level reconstructions by Walker, Jennifer S., Cahill, Niamh, Khan, Nicole S., Shaw, Timothy Adam, Barber, Don, Miller, Kenneth G., Kopp, Robert E., Horton, Benjamin Peter

“…Information about the temporal and spatial variability of modern foraminiferal distributions was formally incorporated into the Bayesian transfer function through informative foraminifera variability priors and was applied to a Common Era relative sea-level record in New Jersey. …”
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