# China 530 Year Multiproxy May-September Precipitation Field Reconstructions #----------------------------------------------------------------------- # 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/23056 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/reconstructions/shi2017/readme-shi2017precip.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Dataset DOI: # # Parameter_Keywords: precipitation #-------------------- # Contribution_Date # Date: 2017-12-22 #-------------------- # File_Last_Modified_Date # Date: 2017-12-22 #-------------------- # Title # Study_Name: China 530 Year Multiproxy May-September Precipitation Field Reconstructions #-------------------- # Investigators # Investigators: Shi, F.; Zhao, S.; Guo, Z.; Goosse, H.; Yin, Q. #-------------------- # Description_Notes_and_Keywords # Description: Multiproxy precipitation field reconstructions for China over the past 531 years. # Data are available in Excel, netCDF, and text format, as follows: # 1. IGGPRE.1.0.anom.nc: China 531 Year Multiproxy Precipitation Reconstruction, netCDF format. See netCDF header below for contents # 2. itrdbmatrix.xlsx and itrdbmatrix.txt: the detrended and infilled version of 362 tree-ring chronologies, Excel and text formats # 3. oie_v1_3.m: the script for Optimal Information Extraction (OIE) version 1.3, Matlab script # 4. fig4_fig5_figs4.xlsx, fig4.txt, fig4sid.txt, fig4sia.txt, fig5lt.txt, fig5md.txt, fig5cent.txt: the data of Fig.4, Fig.5, and Fig.s4, Excel and text formats # 5. fig7.xlsx, fig7precip.txt, fig7precip-filt.txt: the reconstruction and model data of Fig.7, Excel and text formats # # # netcdf IGGPRE.1.0.anom { # dimensions: # time = 531 ; # lat = 72 ; # lon = 128 ; # variables: # float precip(time, lat, lon) ; # precip:_FillValue = 9.96921e+36f ; # precip:long_name = "May-September Average Precipitation" ; # precip:units = "mm/day" ; # precip:missing_value = 9.96921e+36f ; # precip:statistic = "Anomalies from 1961-90" ; # precip:proxy = "372 tree-rings chronologies and 107 historical documentary records" ; # int time(time) ; # time:units = "years since AD 1470" ; # time:axis = "T" ; # float lat(lat) ; # lat:units = "degrees_north" ; # lat:long_name = "latitude" ; # lat:axis = "Y" ; # float lon(lon) ; # lon:units = "degrees_east" ; # lon:long_name = "longitude" ; # lon:axis = "X" ; # # // global attributes: # :version = "IGGPRE.1.0" ; # :title = "China Precipitation Reconstruction: 0.5x0.5" ; # :history = "10:49 AM June 19 2017" ; # :institution = "Institute of Geology and Geophysics,Chinese Academy of Sciences (IGGCAS)" ; # :citation = "Shi, F., Zhao, S., Guo, Z., Goosse, H., Yin, Q.: Multi-proxy reconstructions of May-September precipitation field in China over the past 500 years, Climate of the Past, 2017" ; # :repository = "NOAA website" ; # :comment = "Reconstructed values end in AD 2000" ; # } # #-------------------- # Publication # Authors: Feng Shi, Sen Zhao, Zhengtang Guo, Hugues Goosse, and Qiuzhen Yin # Published_Date_or_Year: 2017-12-22 # Published_Title: Multi-proxy reconstructions of May-September precipitation field in China over the past 500 years # Journal_Name: Climate of the Past # Volume: 13 # Edition: # Issue: # Pages: 1919-1938 # Report_Number: # DOI: 10.5194/cp-13-1919-2017 # Online_Resource: https://www.clim-past.net/13/1919/2017/ # Full_Citation: # Abstract: The dominant modes of variability of precipitation for the whole of China over the past millennium and the mechanism governing their spatial structure remain unclear. This is mainly due to insufficient high-resolution proxy records of precipitation in western China. Numerous tree-ring chronologies have recently been archived in publicly available databases through PAGES2k activities, and these provide an opportunity to refine precipitation field reconstructions for China. Based on 479 proxy records, including 371 tree-ring width chronologies, a tree-ring isotope chronology, and 107 drought/flood indices, we reconstruct the precipitation field for China for the past half millennium using the optimal information extraction method. A total of 3631 of 4189 grid points in the reconstruction field passed the cross-validation process, accounting for 86.68% of the total number of grid points. The first leading mode of variability of the reconstruction shows coherent variations over most of China. The second mode is a north-south dipole in eastern China characterized by variations of the same sign in western China and northern China (except for Xinjiang province). It is likely controlled by the El Niņo-Southern Oscillation (ENSO) variability. The third mode is a "sandwich" triple mode in eastern China including variations of the same sign in western China and central China. The last two modes are reproduced by most of the six coupled climate models' last millennium simulations performed in the framework of the Paleoclimate Modelling Intercomparison Project Phase III (PMIP3). In particular, the link of the second mode with ENSO is confirmed by the models. However, there is a mismatch between models and proxy reconstructions in the time development of different modes. This mismatch suggests the important role of internal variability in the reconstructed precipitation mode variations of the past 500 years. #------------------ # Funding_Agency # Funding_Agency_Name: Ministry of Science and Technology of the People's Republic of China # Grant: National Key R&D Program of China 2016YFA0600504 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41505081, 41690114, 41430531 #------------------ # Site_Information # Site_Name: China # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 52.0 # Southernmost_Latitude: 20.0 # Easternmost_Longitude: 135.0 # Westernmost_Longitude: 74.0 # Elevation: #------------------ # Data_Collection # Collection_Name: Shi2017precip # Earliest_Year: 1470 # Most_Recent_Year: 2000 # Time_Unit: CE # Core_Length: # Notes: #------------------ # 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, free text) # ## age_CE age, , , CE, , , , ,N, ## precip precipitation, tree ring width+documents, , mm/day, May-Sep, climate reconstructions,,,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_CE precip