# Pant - Pahalgam - ABPI - ITRDB INDI008 #----------------------------------------------------------------------- # 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 original publication, online resource and date accessed when using these data, # If there is no publication information, please cite investigator, title, online resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/4084 # Description: NOAA Landing Page of study # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/asia/indi008-noaa.rwl # Description: Raw Measurements - NOAA Template File # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/measurements/asia/indi008.rwl # Description: Raw Measurements - Tucson Decadal File # # Archive: Treering # # Dataset_DOI: # # Parameter_Keywords: more info, ring width #------------------- # Contribution_Date # Date: 2013-05-01 #------------------- # File_Last_Modified_Date # Date: 2019-04-08 #------------------- # Title # Study_Name: Pant - Pahalgam - ABPI - ITRDB INDI008 #------------------- # Investigators: Pant, G.B. #------------------- # Description_Notes_and_Keywords # Description: NOAA Template Chronology file added 2018-12-19. NOAA Template Raw Measurements file added 2019-04-08. #------------------- # Publication # Authors: # Journal_Name: Nature Geoscience # Published_Title: Continental-scale temperature variability during the past two millennia # Published_Date_or_Year: 2013 # Volume: # Pages: # Report_Number: # DOI: 10.1038/NGEO1797 # Full_Citation: PAGES 2k Consortium. 2013. # Continental-scale temperature variability during the past two millennia. Nature Geoscience, Vol. 6, pp. 339-346, May 2013. www.nature.com/naturegeoscience DOI: 10.1038/NGEO1797 # Abstract: Past global climate changes had strong regional expression. To elucidate their spatio-temporal pattern, we reconstructed past temperatures for seven continental-scale regions during the past one to two millennia. The most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century. At multi-decadal to centennial scales, temperature variability shows distinctly different regional patterns, with more similarity within each hemisphere than between them. There were no globally synchronous multi-decadal warm or cold intervals that define a worldwide Medieval Warm Period or Little Ice Age, but all reconstructions show generally cold conditions between ad 1580 and 1880, punctuated in some regions by warm decades during the eighteenth century. The transition to these colder conditions occurred earlier in the Arctic, Europe and Asia than in North America or the Southern Hemisphere regions. Recent warming reversed the long-term cooling; during the period ad 1971-2000, the area-weighted average reconstructed temperature was higher than any other time in nearly 1,400 years. #------------------- # Site Information # Site_Name: Pahalgam # Location: Jammu and Kashmir # Northernmost_Latitude: 34.03 # Southernmost_Latitude: 34.03 # Easternmost_Longitude: 75.7 # Westernmost_Longitude: 75.7 # Elevation: 2900 #------------------- # Data Collection # Collection_Name: INDI008 # Earliest_Year: 1609 # Most_Recent_Year: 1982 # Time_Unit: AD # Notes: #------------------- # Species # Species_Name: Abies pindrow (Royle ex D. Don) Royle # Common_Name: Himalayan silver fir # Tree_Species_Code: ABPI #------------------- # Chronology_Information # Chronology: #--------------------- # Variables # Data variables follow that are preceded by '##' in columns one and two. # Variables list, one per line; shortname-tab- components: what, material, error, units, seasonality, data_type, detail, method, C or N for Character or Numeric data,additional information) ## age_CE age,,,year Common Era,,tree ring,,,N, ## PHAP01_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP01; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP02_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP02; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP03_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP03; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP04_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP04; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP05_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP05; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP08_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP08; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP21_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP21; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 ## PHAP22_raw total ring width ,,,millimeter,,tree ring,,,N,Tree ID: PHAP22; units are 0.01 mm if end-of-series marker is 999 and 0.001 mm if end-of-series marker is -9999 #--------------------- # Data: # Missing_Values: NaN age_CE PHAP01_raw PHAP02_raw PHAP03_raw PHAP04_raw PHAP05_raw PHAP08_raw PHAP21_raw PHAP22_raw 1609 NaN NaN NaN NaN 318 NaN NaN NaN 1610 NaN NaN NaN NaN 234 NaN NaN NaN 1611 NaN NaN NaN NaN 167 NaN NaN NaN 1612 NaN NaN NaN NaN 215 NaN NaN NaN 1613 NaN NaN NaN NaN 105 NaN NaN NaN 1614 NaN NaN NaN NaN 176 NaN NaN NaN 1615 NaN NaN NaN NaN 289 NaN NaN NaN 1616 NaN NaN NaN NaN 232 NaN NaN NaN 1617 NaN NaN NaN NaN 206 NaN NaN NaN 1618 NaN NaN NaN NaN 160 NaN NaN NaN 1619 NaN NaN NaN NaN 129 NaN NaN NaN 1620 NaN NaN NaN NaN 19 NaN 112 NaN 1621 NaN NaN NaN NaN 42 NaN 132 NaN 1622 NaN NaN NaN NaN 100 NaN 139 NaN 1623 NaN NaN NaN NaN 98 NaN 141 NaN 1624 NaN NaN NaN NaN 133 NaN 142 NaN 1625 NaN NaN NaN NaN 156 NaN 145 NaN 1626 NaN NaN NaN NaN 174 NaN 147 NaN 1627 NaN NaN NaN NaN 133 NaN 131 NaN 1628 NaN NaN NaN NaN 166 NaN 194 NaN 1629 NaN NaN NaN NaN 111 NaN 129 NaN 1630 NaN NaN NaN NaN 112 NaN 152 NaN 1631 NaN NaN NaN NaN 114 NaN 188 NaN 1632 NaN NaN NaN NaN 125 NaN 174 156 1633 NaN NaN NaN NaN 101 NaN 146 152 1634 NaN NaN NaN NaN 96 NaN 159 169 1635 NaN NaN NaN NaN 112 NaN 105 236 1636 NaN NaN NaN NaN 128 241 231 158 1637 NaN NaN NaN NaN 101 285 173 110 1638 NaN NaN NaN NaN 76 296 144 63 1639 NaN NaN NaN NaN 73 267 191 74 1640 NaN NaN NaN NaN 88 235 127 103 1641 NaN NaN NaN NaN 97 186 78 143 1642 NaN NaN NaN NaN 103 164 56 250 1643 NaN NaN NaN NaN 78 186 78 243 1644 NaN NaN NaN NaN 106 238 129 202 1645 NaN NaN NaN NaN 94 275 167 165 1646 NaN NaN NaN NaN 88 155 47 92 1647 255 NaN NaN NaN 78 110 30 105 1648 326 NaN NaN NaN 91 100 25 136 1649 356 NaN NaN NaN 123 266 158 198 1650 335 NaN NaN NaN 88 251 143 162 1651 383 NaN NaN NaN 134 249 150 290 1652 276 NaN NaN NaN 93 172 63 246 1653 282 NaN NaN NaN 95 212 104 293 1654 294 NaN NaN NaN 104 261 153 257 1655 324 NaN NaN NaN 102 275 167 280 1656 307 NaN NaN NaN 114 266 158 258 1657 222 NaN 283 NaN 110 239 130 253 1658 248 NaN 228 NaN 83 221 113 277 1659 286 NaN 268 NaN 124 275 167 293 1660 287 NaN 271 NaN 131 285 177 308 1661 255 NaN 237 NaN 130 268 160 308 1662 215 281 204 NaN 90 268 160 328 1663 174 276 151 NaN 104 196 188 251 1664 206 267 155 NaN 90 164 156 171 1665 233 263 164 NaN 90 170 162 175 1666 226 275 168 NaN 70 169 71 197 1667 214 251 156 NaN 63 170 82 188 1668 194 235 146 NaN 56 233 125 306 1669 203 197 175 NaN 54 199 90 290 1670 210 202 230 NaN 54 209 101 253 1671 268 212 232 NaN 58 256 148 255 1672 230 158 214 NaN 58 251 143 237 1673 246 130 210 NaN 50 227 119 233 1674 320 169 227 NaN 57 221 113 250 1675 272 129 248 NaN 81 251 143 271 1676 245 141 185 601 65 240 132 208 1677 214 143 177 511 73 183 75 200 1678 194 164 166 427 66 174 66 189 1679 248 171 221 442 52 244 136 244 1680 211 149 205 435 61 207 99 228 1681 187 145 224 496 60 218 109 247 1682 202 147 178 449 72 176 68 201 1683 235 153 169 422 60 181 73 192 1684 196 162 199 401 49 201 103 222 1685 194 165 202 442 58 193 85 225 1686 178 197 234 465 66 241 134 257 1687 175 132 183 505 67 200 100 206 1688 165 145 154 446 57 180 73 177 1689 156 175 195 403 49 193 85 218 1690 145 120 185 380 35 260 153 208 1691 158 97 189 501 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