{"NOAAStudyId":"14548","contactInfo":{"address":"325 Broadway, E/NE31","city":"Boulder","constraints":"Please cite original publication, online resource, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, title, online resource, and date accessed. The appearance of external links associated with a dataset does not constitute endorsement by the Department of Commerce/National Oceanic and Atmospheric Administration of external Web sites or the information, products or services contained therein. For other than authorized activities, the Department of Commerce/NOAA does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this Department of Commerce/NOAA Web site.","country":"USA","dataCenterUrl":"https://www.ncdc.noaa.gov/data-access/paleoclimatology-data","email":"paleo@noaa.gov","fax":"303-497-6513","longName":"National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce ","phone":"303-497-6280","postalCode":"80305-3328","shortName":"DOC/NOAA/NESDIS/NCEI","state":"CO","type":"CONTACT INFORMATION"},"contributionDate":"2013-06-07","dataPublisher":"NOAA","dataType":"CLIMATE RECONSTRUCTIONS","dataTypeInformation":"https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/climate-reconstruction","difMetadataLink":"http://www1.ncdc.noaa.gov/pub/data/metadata/published/paleo/dif/xml/noaa-recon-14548.xml","doi":null,"earliestYearBP":1945,"earliestYearCE":5,"entryId":"noaa-recon-14548","funding":[{"fundingAgency":"Chinese Academy of Sciences","fundingGrant":"XDA05080100"},{"fundingAgency":"Ministry of Science and Technology of the People’s Republic of China","fundingGrant":"2010CB950100"},{"fundingAgency":"National Natural Science Foundation China","fundingGrant":"41071029"},{"fundingAgency":"Commonwealth research funding from CMA","fundingGrant":"GYHY201106013-2-2"}],"investigators":"Ge, Q.; Hao, Z.; Zheng, J.; Shao, X.M.","mostRecentYearBP":-45,"mostRecentYearCE":1995,"onlineResourceLink":"https://www.ncdc.noaa.gov/paleo/study/14548","originalSource":null,"publication":[{"abstract":"We use principal component regression and partial least squares regression to separately reconstruct a composite series of temperature variations in China, and associated uncertainties, at a decadal resolution over the past 2000 yr. The reconstruction is developed using proxy temperature data with relatively high confidence levels from five regions across China, and using a temperature series from observations by the Chinese Meteorological Administration, covering the period from 1871 to 2000. Relative to the 1851–1950 climatology, our two reconstructions show four warm intervals during AD1–AD200, AD551–AD 760, AD951–AD 1320, and after AD1921, and four cold intervals during AD 201–AD 350, AD 441–AD 530, AD781–AD950, and AD1321–AD 1920. The temperatures during AD981–AD 1100 and AD1201–AD 1270 are comparable to those of the Present Warm Period, but have an uncertainty of ±0.28°C to ±0.42°C at the 95% confidence interval. Temperature variations over China are typically in phase with those of the Northern Hemisphere (NH) after 1000, a period which covers the Medieval Climate Anomaly, the Little Ice Age, and the Present Warm Period. In contrast, a warm period in China during AD541–AD 740 is not obviously seen in the NH.","author":null,"citation":"Ge, Q., Z. Hao, J. Zheng, X. Shao. 2013. Temperature changes over the past 2000 yr in China and comparison with the Northern Hemisphere. Climate of the Past, 9, 1153-1160. DOI:10.5194/cp-9-1153-2013","edition":null,"identifier":{"id":"10.5194/cp-9-1153-2013","type":"doi","url":"http://dx.doi.org/10.5194/cp-9-1153-2013"},"issue":null,"journal":"Climate of the Past","pages":null,"pubRank":"1","pubYear":2013,"reportNumber":null,"title":"Temperature changes over the past 2000 yr in China and comparison with the Northern Hemisphere","type":"publication","volume":null}],"reconstruction":"Y","scienceKeywords":["Air Temperature Reconstruction"],"site":[{"NOAASiteId":"54989","geo":{"geoType":"Feature","geometry":{"coordinates":["3.86","53.55","73.66","135.05"],"type":"POLYGON"},"properties":{"easternmostLongitude":"135.05","maxElevationMeters":null,"minElevationMeters":null,"northernmostLatitude":"53.55","southernmostLatitude":"3.86","westernmostLongitude":"73.66"}},"locationName":"Continent>Asia>Eastern Asia","mappable":"N","paleoData":[{"NOAADataTableId":"24555","coreLengthMeters":null,"dataFile":[{"NOAAKeywords":["earth science>paleoclimate>reconstructions>air temperature"],"fileUrl":"https://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/ge2013/ge2013.txt","linkText":"ge2013.txt","urlDescription":"Original Data and Full Metadata","variables":[{"cvAdditionalInfo":null,"cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":null,"cvError":null,"cvFormat":"Numeric","cvMaterial":null,"cvMethod":null,"cvSeasonality":null,"cvShortName":null,"cvUnit":"year Common Era","cvWhat":"age variable>age"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":null,"cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":null,"cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"principal component analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval lower bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval lower bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"principal component analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval upper bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; principal components regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval upper bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"principal component analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; partial least squares regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":null,"cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; partial least squares regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval lower bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"},{"cvAdditionalInfo":"reference period: 1851-1950 A.D.; calibration data set: local instrumental data; partial least squares regression","cvDataType":"CLIMATE RECONSTRUCTIONS","cvDetail":"anomalized","cvError":"95% confidence interval upper bound","cvFormat":"Numeric","cvMaterial":"reconstruction material>multiple proxies","cvMethod":"regression analysis","cvSeasonality":"annual","cvShortName":null,"cvUnit":"degree Celsius","cvWhat":"earth system variable>temperature variable>temperature>surface temperature"}]}],"dataTableName":"China Temp-Ge13","dataTableNotes":null,"earliestYear":5,"earliestYearBP":1945,"earliestYearCE":5,"mostRecentYear":1995,"mostRecentYearBP":-45,"mostRecentYearCE":1995,"species":[],"timeUnit":"AD"}],"siteName":"Southeastern Asia"}],"studyCode":null,"studyName":"China temperature during the past 2000 years","studyNotes":"Dataset of China temperature reconstruction from 1 C.E. to 2000C.E. has 10-year time resolution. PLS is reconstruction using partial Least Square regression method in the paper; PLS_UP and PLS_BO are the uncertainties at 95% confidence level; PC is reconstruction using Principle component regression method, PC_UP and PC_BO are same with PLS_UP and PLS_BO. ","version":"1.0","xmlId":"12529"}