# Scandinavia Last Millennium Summer SPEI Hydroclimate Reconstruction #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/23032 # Description: # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/europe/scandinavia2017spei.txt # Description: # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstruction # # Dataset_DOI: # # Parameter_Keywords: precipitation, drought #-------------------- # Contribution_Date # Date: 2017-11-09 #-------------------- # File_Last_Modified_Date # Date: 2017-11-09 #-------------------- # Title # Study_Name: Scandinavia Last Millennium Summer SPEI Hydroclimate Reconstruction #-------------------- # Investigators # Investigators: Seftigen, K.; Goosse, H.; Klein, F.; Chen, D. #-------------------- # Description_Notes_and_Keywords # Description: Reconstruction of summer (June, aggregated over a 2-month time scale) Standardized Precipitation Evapotranspiration Index (SPEI) based on 25 tree-ring width records. #-------------------- # Publication # Authors: Kristina Seftigen, Hugues Goosse, Francois Klein, and Deliang Chen # Published_Date_or_Year: 2017-04-05 # Published_Title: Hydroclimate variability in Scandinavia over the last millennium - insights from a climate model-proxy data comparison # Journal_Name: Climate of the Past Discussions # Volume: 2017 # Edition: # Issue: Special Issue: Climate of the past 2000 years: regional and trans-regional syntheses # Pages: 1-35 # Report_Number: # DOI: 10.5194/cp-2017-36 # Online_Resource: https://www.clim-past-discuss.net/cp-2017-36/ # Full_Citation: # Abstract: The integration of climate proxy information with General Circulation Model (GCM) results offers considerable potential for deriving greater understanding of the mechanisms underlying climate variability, as well as unique opportunities for out-of-sample evaluations of model performance. In this study, we combine insights from a new tree-ring hydroclimate reconstruction from Scandinavian with projections from a suite of forced transient simulations of the last millennium and historical intervals from the CMIP5 and PMIP3 archives. Model simulations and proxy reconstruction data are found to broadly agree on the modes of atmospheric variability that produces droughts/pluvials in the region. But despite these dynamical similarities, large differences between simulated and reconstructed hydroclimate time series remain. We find simulated interannual components of variability to be overestimated, while the multidecadal/longer timescale components generally are too weak. Specifically, summertime moisture variability and temperature are weakly negatively associated at inter-annual timescales but positively correlated at decadal timescales, revealed from observational and proxy evidences. On this background, the CMIP5/PMIP3 simulated timescale dependent relationship between regional precipitation and temperature is considerably biased, because the short-term negative association is overestimated, and the long-term relationship is significantly underestimated. The lack of adequate understanding for mechanisms linking temperature and moisture supply on longer timescales has important implication for future projections. Weak multidecadal variability in models also implies that inference about future persistent droughts and pluvials based on the latest generation global climate models will likely underestimate the true risk of these events. #------------------ # Funding_Agency # Funding_Agency_Name: The Swedish Research Formas # Grant: 2014-723 #------------------ # Site_Information # Site_Name: Scandinavia # Location: Europe>Northern Europe # Country: # Northernmost_Latitude: 65.0 # Southernmost_Latitude: 55.0 # Easternmost_Longitude: 30.0 # Westernmost_Longitude: 5.0 # Elevation: #------------------ # Data_Collection # Collection_Name: Scand2017SPEI # Earliest_Year: 1000 # Most_Recent_Year: 1995 # Time_Unit: CE # Core_Length: # Notes: #------------------ # Species # Species_Name: Pinus sylvestris # Common_Name: Scots pine # Tree_Species_Code: PISY #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, additional information) # ## age_CE age, , , CE, , , , ,N, ## SPEI Standardized Precipitation Evapotranspiration Index, , , , Jun, Climate Reconstructions, Reconstructed average Scandinavian June SPEI (2-month scale),,N, ## SPEI+ Standardized Precipitation Evapotranspiration Index +RMSE, , , , Jun, Climate Reconstructions, Reconstructed average Scandinavian June SPEI (2-month scale) plus RMSE error,,N, ## SPEI- Standardized Precipitation Evapotranspiration Index -RMSE, , , , Jun, Climate Reconstructions, Reconstructed average Scandinavian June SPEI (2-month scale) minus RMSE error,,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: (Value used to flag missing data in the table below) # age_CE 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-0.185863414 1.569541961 1991 1.925694956 1.047992267 2.803397646 1992 -0.191505418 -1.069208106 0.686197271 1993 0.050530027 -0.827172663 0.928232715 1994 0.155013181 -0.722689509 1.032715871 1995 0.958439698 0.080737008 1.836142385