Publikationsdatum:
2016-04-15
Beschreibung:
Accurate modelling and prediction of the local to continental-scale hydroclimate response to global warming is essential given the strong impact of hydroclimate on ecosystem functioning, crop yields, water resources, and economic security. However, uncertainty in hydroclimate projections remains large, in part due to the short length of instrumental measurements available with which to assess climate models. Here we present a spatial reconstruction of hydroclimate variability over the past twelve centuries across the Northern Hemisphere derived from a network of 196 at least millennium-long proxy records. We use this reconstruction to place recent hydrological changes and future precipitation scenarios in a long-term context of spatially resolved and temporally persistent hydroclimate patterns. We find a larger percentage of land area with relatively wetter conditions in the ninth to eleventh and the twentieth centuries, whereas drier conditions are more widespread between the twelfth and nineteenth centuries. Our reconstruction reveals that prominent seesaw patterns of alternating moisture regimes observed in instrumental data across the Mediterranean, western USA, and China have operated consistently over the past twelve centuries. Using an updated compilation of 128 temperature proxy records, we assess the relationship between the reconstructed centennial-scale Northern Hemisphere hydroclimate and temperature variability. Even though dry and wet conditions occurred over extensive areas under both warm and cold climate regimes, a statistically significant co-variability of hydroclimate and temperature is evident for particular regions. We compare the reconstructed hydroclimate anomalies with coupled atmosphere-ocean general circulation model simulations and find reasonable agreement during pre-industrial times. However, the intensification of the twentieth-century-mean hydroclimate anomalies in the simulations, as compared to previous centuries, is not supported by our new multi-proxy reconstruction. This finding suggests that much work remains before we can model hydroclimate variability accurately, and highlights the importance of using palaeoclimate data to place recent and predicted hydroclimate changes in a millennium-long context.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ljungqvist, Fredrik Charpentier -- Krusic, Paul J -- Sundqvist, Hanna S -- Zorita, Eduardo -- Brattstrom, Gudrun -- Frank, David -- England -- Nature. 2016 Apr 7;532(7597):94-8. doi: 10.1038/nature17418.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of History, Stockholm University, SE-10691 Stockholm, Sweden. ; Centre for Medieval Studies, Stockholm University, SE-10691 Stockholm, Sweden. ; Bolin Centre for Climate Research, Stockholm University, SE-10691 Stockholm, Sweden. ; Navarino Environmental Observatory, GR-24001 Messinia, Greece. ; Department of Physical Geography, Stockholm University, SE-10691 Stockholm, Sweden. ; Helmholtz-Zentrum Geesthacht, Institute for Coastal Research, DE-21502 Geesthacht, Germany. ; Department of Mathematics, Stockholm University, SE-10691 Stockholm, Sweden. ; Swiss Federal Research Institute WSL, CH-8903 Birmensdorf, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27078569" target="_blank"〉PubMed〈/a〉
Schlagwort(e):
Atmosphere
;
China
;
*Climate
;
Climate Change/*statistics & numerical data
;
Ecosystem
;
Geographic Mapping
;
Geologic Sediments/chemistry
;
History, 15th Century
;
History, 16th Century
;
History, 17th Century
;
History, 18th Century
;
History, 19th Century
;
History, 20th Century
;
History, 21st Century
;
History, Medieval
;
Hydrology
;
Ice/analysis
;
Mediterranean Region
;
Models, Theoretical
;
*Rain
;
Soil/chemistry
;
Spatio-Temporal Analysis
;
Temperature
;
Trees/anatomy & histology/growth & development
;
Uncertainty
;
United States
Print ISSN:
0028-0836
Digitale ISSN:
1476-4687
Thema:
Biologie
,
Chemie und Pharmazie
,
Medizin
,
Allgemeine Naturwissenschaft
,
Physik
Permalink