# Tibetan Plateau 440 Year August-September Temperature 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/28911 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/asia/china/duan2019tibet-temp.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: air temperature #-------------------- # Contribution_Date # Date: 2020-01-31 #-------------------- # File_Last_Modified_Date # Date: 2020-02-06 #-------------------- # Title # Study_Name: Tibetan Plateau 440 Year August-September Temperature Reconstructions #-------------------- # Investigators # Investigators: Duan, J.; Ma, Z.; Li, L.; Zheng, Z. #-------------------- # Description_Notes_and_Keywords # Description: Tibetan Plateau August-September tree-ring-based surface air temperature reconstructions (1572-2014 CE), plus climate model simulations (2006-2049). # RCP4.5 and RCP8.5 mean model-simulated August-September mean temperature based based on RCP4.5 and RCP8.5 scenarios (wrt 1986-2005), respectively. # File updated 6-Feb-2020 to round data values to 4 decimal places. #-------------------- # Publication # Authors: Jianping Duan, Zhuguo Ma, Lun Li, Ziyan Zheng # Published_Date_or_Year: 2019-06-27 # Published_Title: August-September Temperature Variability on the Tibetan Plateau: Past, Present, and Future # Journal_Name: Journal of Geophysical Research: Atmospheres # Volume: 124 # Edition: # Issue: 12 # Pages: 6057-6068 # Report_Number: # DOI: 10.1029/2019JD030444 # Online_Resource: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JD030444 # Full_Citation: # Abstract: To assess the recent warming on the Tibetan Plateau (TP), some tree-ring-based temperature reconstructions have been performed. However, most of the previous studies focused on the local or regional scale. In this study, we analyzed the recent variability of August-September temperature using observations from 79 TP meteorological stations, and the observed records were extended back to 1,572 based on a tree-ring maximum density network comprising 17 sites. Moreover, the future August-September temperature scenarios on the TP are also presented using the ensemble mean of five regional climate models. The tree-ring maximum late-wood density network shows good capacity to reconstruct the August-September temperature variability at the spatial scale of the whole TP (i.e., 79-station average; r1951-2014 = 0.80, P < 0.01). The reconstruction suggests that the instrumental epoch is the warmest interval of August-September over the past four and a half centuries on the TP, and the decadal-scale August-September warming since the 1960s is unprecedented. The ensemble simulation of five regional climate models indicates that persistent August-September warming will occur on the TP in the future. The magnitude of August-September warming is approximately 1.56 ± 0.30C and 3.02 ± 0.29C over the period 2006-2049 under the Representative Concentration Pathways (RCPs) 4.5 and P8.5 scenarios, respectively. These results imply a further ecological and environmental change on the TP linked to the persistent warming in the future. #------------------ # Funding_Agency # Funding_Agency_Name: National Key Research and Development Program of China # Grant: 2016YFA0600404 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41875113, 41471035, 41101043 #------------------ # Site_Information # Site_Name: Tibetan Plateau # Location: Asia>Eastern Asia> Tibetan Plateau # Country: China # Northernmost_Latitude: 40 # Southernmost_Latitude: 26 # Easternmost_Longitude: 105 # Westernmost_Longitude: 78 # Elevation: #------------------ # Data_Collection # Collection_Name: Duan2019TibetTemp # Earliest_Year: 1572 # Most_Recent_Year: 2014 # 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, , , year Common Era, , , , ,N, ## Temp air temperature, , , degrees C, August-September,climate reconstructions,anomalized,,N, anomalies with respect to 1986-2005 ## Temperr+ air temperature, , +1RMSE, degrees C, August-September,climate reconstructions,anomalized,,N, anomalies with respect to 1986-2005 ## Temperr- air temperature, , -1RMSE, degrees C, August-September,climate reconstructions,anomalized,,N, anomalies with respect to 1986-2005 # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # Notes: # age_CE Temp Temperr+ Temperr- 1572 -0.6894 -0.3416 -1.0373 1573 -1.4084 -1.0605 -1.7562 1574 -0.7901 -0.4422 -1.1379 1575 -1.1496 -0.8017 -1.4974 1576 -1.2646 -0.9168 -1.6124 1577 -0.7469 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1890 -0.8620 -0.5141 -1.2098 1891 -0.8907 -0.5429 -1.2386 1892 -0.0280 0.3199 -0.3758 1893 -1.3221 -0.9743 -1.6700 1894 -0.8764 -0.5285 -1.2242 1895 -1.0489 -0.7011 -1.3968 1896 -0.2005 0.1473 -0.5484 1897 -0.6607 -0.3128 -1.0085 1898 -0.2149 0.1329 -0.5628 1899 -1.4659 -1.1181 -1.8137 1900 -0.7757 -0.4279 -1.1235 1901 -0.9770 -0.6292 -1.3249 1902 -0.8764 -0.5285 -1.2242 1903 -0.5456 -0.1978 -0.8935 1904 -1.5522 -1.2043 -1.9000 1905 -0.8188 -0.4710 -1.1667 1906 -0.7182 -0.3704 -1.0660 1907 -1.1783 -0.8305 -1.5262 1908 -0.6032 -0.2553 -0.9510 1909 -0.5313 -0.1834 -0.8791 1910 -0.6175 -0.2697 -0.9654 1911 -1.5378 -1.1900 -1.8856 1912 -0.5600 -0.2122 -0.9079 1913 -0.7182 -0.3704 -1.0660 1914 -1.3077 -0.9599 -1.6556 1915 -1.3221 -0.9743 -1.6700 1916 -0.9483 -0.6004 -1.2961 1917 -0.9626 -0.6148 -1.3105 1918 -1.5090 -1.1612 -1.8569 1919 -0.5600 -0.2122 -0.9079 1920 -0.8332 -0.4854 -1.1811 1921 -0.4450 -0.0971 -0.7928 1922 -0.4019 -0.0540 -0.7497 1923 -1.1639 -0.8161 -1.5118 1924 -1.0777 -0.7298 -1.4255 1925 -1.2071 -0.8592 -1.5549 1926 -0.8476 -0.4998 -1.1954 1927 -0.7613 -0.4135 -1.1092 1928 -0.6032 -0.2553 -0.9510 1929 -0.5313 -0.1834 -0.8791 1930 -0.4306 -0.0828 -0.7784 1931 -0.2581 0.0898 -0.6059 1932 -0.5456 -0.1978 -0.8935 1933 -0.5025 -0.1547 -0.8503 1934 -0.1286 0.2192 -0.4765 1935 -0.2868 0.0610 -0.6347 1936 -0.3587 -0.0109 -0.7066 1937 -0.3443 0.0035 -0.6922 1938 -0.3875 -0.0396 -0.7353 1939 -0.8764 -0.5285 -1.2242 1940 -0.5313 -0.1834 -0.8791 1941 -0.6175 -0.2697 -0.9654 1942 0.0152 0.3630 -0.3327 1943 -0.4306 -0.0828 -0.7784 1944 -0.5313 -0.1834 -0.8791 1945 -0.5744 -0.2266 -0.9222 1946 -0.1430 0.2048 -0.4909 1947 -0.3587 -0.0109 -0.7066 1948 -0.4450 -0.0971 -0.7928 1949 -0.3300 0.0179 -0.6778 1950 -0.9483 -0.6004 -1.2961 1951 -0.7469 -0.3991 -1.0948 1952 -0.6175 -0.2697 -0.9654 1953 -0.0136 0.3342 -0.3615 1954 -0.2005 0.1473 -0.5484 1955 -0.3875 -0.0396 -0.7353 1956 -0.8620 -0.5141 -1.2098 1957 -0.5600 -0.2122 -0.9079 1958 -0.0711 0.2767 -0.4190 1959 -0.7901 -0.4422 -1.1379 1960 -0.2437 0.1042 -0.5915 1961 -0.3443 0.0035 -0.6922 1962 -1.5234 -1.1756 -1.8713 1963 -0.0999 0.2480 -0.4477 1964 -0.3012 0.0467 -0.6490 1965 -1.4515 -1.1037 -1.7994 1966 -0.0136 0.3342 -0.3615 1967 -0.2005 0.1473 -0.5484 1968 -0.4881 -0.1403 -0.8360 1969 -0.2437 0.1042 -0.5915 1970 -0.4737 -0.1259 -0.8216 1971 0.0583 0.4061 -0.2896 1972 -0.4162 -0.0684 -0.7641 1973 -0.1574 0.1904 -0.5052 1974 -0.5456 -0.1978 -0.8935 1975 -0.2293 0.1185 -0.5771 1976 -0.4881 -0.1403 -0.8360 1977 -0.5313 -0.1834 -0.8791 1978 -0.2437 0.1042 -0.5915 1979 -0.1430 0.2048 -0.4909 1980 -0.0855 0.2623 -0.4333 1981 0.3890 0.7369 0.0412 1982 -0.2437 0.1042 -0.5915 1983 0.1446 0.4924 -0.2033 1984 -0.2581 0.0898 -0.6059 1985 0.0008 0.3486 -0.3471 1986 -0.4306 -0.0828 -0.7784 1987 -0.9770 -0.6292 -1.3249 1988 -0.0855 0.2623 -0.4333 1989 0.0008 0.3486 -0.3471 1990 -0.4306 -0.0828 -0.7784 1991 -0.0424 0.3055 -0.3902 1992 0.3171 0.6650 -0.0307 1993 -0.0280 0.3199 -0.3758 1994 0.8204 1.1682 0.4725 1995 0.2884 0.6362 -0.0595 1996 0.3746 0.7225 0.0268 1997 -0.2724 0.0754 -0.6203 1998 0.4465 0.7944 0.0987 1999 0.1733 0.5212 -0.1745 2000 -0.0999 0.2480 -0.4477 2001 0.3603 0.7081 0.0124 2002 0.0727 0.4205 -0.2752 2003 0.5328 0.8806 0.1850 2004 0.1733 0.5212 -0.1745 2005 0.6191 0.9669 0.2712 2006 0.6047 0.9525 0.2569 2007 0.5472 0.8950 0.1993 2008 0.1302 0.4780 -0.2177 2009 0.5759 0.9238 0.2281 2010 0.3027 0.6506 -0.0451 2011 0.4321 0.7800 0.0843 2012 0.2452 0.5931 -0.1026 2013 0.4609 0.8087 0.1131 2014 0.0583 0.4061 -0.2896