Pollen; Climate models; Paleoclimate; Atmospheric dynamics; Holocene; Climate
Kaufman Darrell, McKay Nicholas, Routson Cody, Erb Michael, Dätwyler Christoph, Sommer Philipp S., Heiri Oliver, Davis Basil (2020), Holocene global mean surface temperature, a multi-method reconstruction approach, in
Scientific Data, 7(1), 201-201.
Kaufman Darrell, McKay Nicholas, Routson Cody, Erb Michael, Davis Basil, Heiri Oliver, Jaccard Samuel, Tierney Jessica, Dätwyler Christoph, Axford Yarrow, Brussel Thomas, Cartapanis Olivier, Chase Brian, Dawson Andria, de Vernal Anne, Engels Stefan, Jonkers Lukas, Marsicek Jeremiah, Moffa-Sánchez Paola, Morrill Carrie, Orsi Anais, Rehfeld Kira, Saunders Krystyna, Sommer Philipp S., et al. (2020), A global database of Holocene paleotemperature records, in
Scientific Data, 7(1), 115-115.
Chevalier Manuel, Davis Basil A.S., Heiri Oliver, Seppä Heikki, Chase Brian M., Gajewski Konrad, Lacourse Terri, Telford Richard J., Finsinger Walter, Guiot Joël, Kühl Norbert, Maezumi S. Yoshi, Tipton John R., Carter Vachel A., Brussel Thomas, Phelps Leanne N., Dawson Andria, Zanon Marco, Vallé Francesca, Nolan Connor, Mauri Achille, de Vernal Anne, Izumi Kenji, Holmström Lasse, et al. (2020), Pollen-based climate reconstruction techniques for late Quaternary studies, in
Earth-Science Reviews, 210, 103384-103384.
DavisBasil (2020), The Eurasian Modern Pollen Database (EMPD), Version 2, in
Earth System Science Data, 12, 2423-2445.
DavisBasil (2019),
How hot was the Holocene?, 27(2), Past Global Changes, Bern, Switzerland 27(2).
Sommer Philipp, Rech Dilan, Chevalier Manuel, Davis Basil (2019), straditize: Digitizing stratigraphic diagrams, in
Journal of Open Source Software, 4(34), 1216-1216.
Davis Basil (2017), The Pollen-Climate Methods Intercomparison Project (PC-MIP), in
Past Global Changes Magazine, 25(3), 161-161.
Eurasian Modern Pollen Database (EMPD) version 2
| Author |
Davis, Basil |
| Publication date |
24.01.2019 |
| Persistent Identifier (PID) |
10.1594/PANGAEA.909130 |
| Repository |
PANGAEA
|
| Abstract |
The Eurasian Modern Pollen Database (EMPD) contains modern pollen data (raw counts) for the entire Eurasian continent. Derived from the European Modern Pollen Database, the dataset contains many more samples West of the Ural Mountains. We propose this dataset in three different format: 1/ an Excel spreadsheet, 2/ a PostgreSQL dump and 3/ a SQLite3 portable database format. All three datasets are strictly equivalent. For download see "Original Version".
Temperature 12k Database
| Author |
Kaufman, Darrell |
| Publication date |
24.01.2020 |
| Persistent Identifier (PID) |
10.25921/4ry2-g808 |
| Repository |
NOAA Paleoclimatology Data
|
| Abstract |
A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format.
Data-model comparisons of Holocene climate provide an ideal basis for evaluating climate model performance outside of modern climate variability, being recent enough that boundary conditions and forcings are well known, while well-dated palaeoclimate archives are abundant enough that past climate can be comprehensively reconstructed. To date, efforts to reconstruct the spatial patterns of Holocene climate change have been mainly focused on the mid-Holocene, but significant problems have already been identified in data-model comparisons. For instance, Hargreaves et al. (2013) reported for the very latest CMIP5 models that “..our results for the mid-Holocene are substantially negative, with the models failing to reproduce the observed changes with any degree of skill”. The reasons for these data-model discrepancies are not entirely clear, but the applicants have shown that the regional patterns of climate anomalies that are poorly represented in climate models may be explained by seasonal changes in atmospheric dynamics, a model weakness also found in simulations of modern climate (Mauri et al., 2014). The HORNET project will investigate these data-model discrepancies, including the potential role of atmospheric dynamics, by providing the first quantitative gridded climate reconstruction for the entire Northern Hemisphere extra-tropical landmass for the last 12,000 years based on pollen data. This will be achieved by leveraging fossil pollen data from over 3000 sites from North America, Europe and Asia, most of which are already available from existing public pollen databases. The reconstruction will use a common pollen-climate methodology to provide consistent and comprehensive estimates of uncertainties, and will be independently evaluated against existing reconstructions based on other proxies, as well as other pollen-climate techniques. The results will be fully documented and both managed and made public using a new map-based visualization tool developed within the project. This tool will allow both primary pollen and climate data from the HORNET project to be viewed on a site-by-site basis, whilst also providing a more general resource for the study of Holocene climate by also showing other climate reconstructions from other studies. A key scientific objective of the HORNET project will be to use data to identify the relative contribution of the summer and winter seasons to Northern Hemisphere interglacial warming, and particularly the relative role of an orbitally driven increase in insolation in summer, and a dynamically driven increase in the pole-ward heat flux in winter. The role of atmospheric dynamics will be investigated by comparison with comparable patterns of regional climate anomalies generated by modern analogue circulation patterns. The project will make available a high quality gridded and seasonally resolved reconstruction of Northern Hemisphere climate change during the Holocene that will provide a state-of-the-art baseline for climate model evaluation, and particularly to evaluate the ability of models to reproduce regional climate change, which remains a key uncertainty in simulations of future climate change (Stocker et al., 2013).The HORNET project will promote collaboration and community participation in the project through 3 workshops on 1) pollen-climate reconstruction methods, 2) quantitative records of Holocene climate change, and 3) Holocene data-model comparisons and understanding data-model discrepancies.