# Indo-Pacific Warm Pool Last Glacial Maximum Hydoclimate Proxy Synthesis #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # plus the Online Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/14428 # # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/dinezio2013/dinezio2013terr-grid.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions #-------------------- # Contribution_Date # Date: 2013-05-19 #-------------------- # Title # Study_Name: Indo-Pacific Warm Pool Last Glacial Maximum Hydoclimate Proxy Synthesis #-------------------- # Investigators # Investigators: DiNezio, P.N.; Tierney, J.E. #-------------------- # Description_and_Notes # Description: Synthesis of hydoclimatic proxy records for the Indo-Pacific Warm Pool at the Last Glacial Maximum, # indicating wet or dry hydroclimatic conditions from both marine and terrestrial proxies. terr_raw and marine_raw # contain the locations and hydroclimate state at the LGM from a collection of proxy records. Their "val" field # indicates whether the proxy captured dry(val=-1)/unchanged(val=0)/wetter(val=1) or fresh(val=-1)/unchanged(val=0)/salty(val=1) # climate at the LGM. "n_obs" is the number of proxy techniques used to estimate LGM hydroclimate from each location. # is_robust=1 indicates when different proxy techniques agree in their estimates of LGM hydroclimate at each location. # is_robust also takes the value of 1 when only one proxy technique is used. "chrono_flag=1" indicates whether the proxy # record contains one or more radiocarbon U/Th or well-constrained OSL dates near to or during the LGM. chrono_flag=0 # indicates that the LGM was dated via wiggle-matching the local benthic d18O to a global stack or another method. # terr_gridded and marine_gridded are the final "gridded" data as seen in the main text of DiNezio and Tierney (2013), # in which proxies were averaged within a search radius of 150 km. The "is_robust" field of terr_gridded and marine_gridded # indicates whether the observations merged into each "gridded" point agree (is_robust=1) or not (is_robust=0). # See DiNezio and Tierney (2013) for more details. # #-------------------- # Publication # Authors: Pedro N. DiNezio and Jessica E. Tierney # Published_Date_or_Year: 2013-05-19 # Published_Title: The effect of sea level on glacial Indo-Pacific climate # Journal_Name: Nature Geoscience # Volume: # Edition: # Issue: # Pages: # DOI: 10.1038/ngeo1823 # Abstract: The Indo-Pacific warm pool - the main source of heat and moisture to the global atmosphere - plays a prominent role in tropical and global climate variability. During the Last Glacial Maximum, temperatures within the warm pool were cooler than today and precipitation patterns were altered, but the mechanism responsible for these shifts remains unclear. Here we use a synthesis of proxy reconstructions of warm pool hydrology and a multi-model ensemble of climate simulations to assess the drivers of these changes. The proxy data suggest drier conditions throughout the centre of the warm pool and wetter conditions in the western Indian and Pacific oceans. Only one model out of twelve simulates a pattern of hydroclimate change similar to our reconstructions, as measured by the Cohen's K statistic. Exposure of the Sunda Shelf by lower glacial sea level plays a key role in the hydrologic pattern simulated by this model, which results from changes in the Walker circulation driven by weakened convection over the warm pool. We therefore conclude that on glacial-interglacial timescales, the growth and decay of ice sheets exert a first-order influence on tropical climate through the associated changes in global sea level. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: AGS 1204011 #------------------ # Funding_Agency # Funding_Agency_Name: International Pacific Research Center # Grant: #------------------ # Site_Information # Site_Name: Indo-Pacific Warm Pool # Location: Ocean>Pacific Ocean>Western Pacific Ocean # Country: # Northernmost_Latitude: 20.0 # Southernmost_Latitude: -16.0 # Easternmost_Longitude: -155.0 # Westernmost_Longitude: 55.0 # Elevation: 0 m #------------------ # Data_Collection # Collection_Name: DiNezio2013TerrGrid # Earliest_Year: 21000 # Most_Recent_Year: 18000 # Time_Unit: Cal Year BP # Core_Length: m # Notes: #------------------ # Chronology: # # # #---------------- # Variables # # Data variables follow (have no #) # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## Longitude longitude,,,degree east,,climate reconstructions,,N, ## Latitude latitude,,,degree north,,climate reconstructions,,N, ## Category notes,,,,,climate reconstructions,,N,KEY: -1 = Fresher; 0 = No Change; 1 = Saltier ## Is_Robust notes,,,,,climate reconstructions,,N, ## N_obs number of samples,,,,,climate reconstructions,,N, #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: Longitude Latitude Category Is_Robust N_obs "KEY: -1 = Drier, 0 = No Change, 1 =Wetter" 132.3 -22.8 -1 1 1 113.5 -22.05 -1 1 1 127.45 -19.8 -1 1 2 46.92 -19.78 -1 1 1 37.87 -18.24 1 1 2 125 -17.45 -1 1 1 118.38 -16.35 -1 1 1 35.5 -15.5 1 0 1 121.59 -13.17 -1 1 1 131 -13 1 1 1 34 -12 0 0 1 140 -12 -1 1 1 118.07 -10.78 -1 1 2 33.76 -9.33 1 1 2 29.75 -9.08 0 1 1 36 -8 1 1 1 102.42 -6.08 0 1 1 30 -6 -1 1 2 126.97 -5.77 -1 1 2 143 -5.5 0 1 2 133.45 -5 -1 1 1 35.82 -3.92 1 1 1 29.5 -3.5 -1 1 1 37.7 -3.32 1 1 2 121.3 -2.5 -1 1 2 140.5 -2.33 0 1 2 100.77 -1.07 0 1 1 33 -1 -1 1 1 117.5 -0.75 -1 1 1 112.1 0.85 -1 1 1 124.89 1.23 -1 1 2 103.8 1.4 -1 1 1 31 1.67 -1 1 1 99.03 2.25 0 1 1 107.88 2.78 -1 1 1 101.7 3.22 -1 1 1 36 5 -1 1 1 112.21 6.16 0 1 1 125.83 6.48 -1 1 1 117.55 8.52 -1 1 1 119.45 10.47 -1 1 1 75.23 10.5 -1 1 1 41.6 11.1 1 1 1 76.75 11.25 -1 1 1 44.3 11.96 -1 1 1 54 12.5 -1 1 1 72.5 15.5 -1 1 1 102.9 17.1 -1 1 1 107.65 -7.15 0 0 2 108.61 4.25 0 0 2 113.885 3.91 0 0 2 146.21 -16.9433 -1 1 3 36.8408 -0.2014 0 0 3