# Northwestern Alps 1000 Year Warm Season Precipitation and Flood Reconstructions #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 2.0 # 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/19102 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/paleolimnology/europe/switzerland/oeschinen2015flood.txt # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Parameter_Keywords: Proglacial lake, sedimentology, clastic varves, flood layer, climate change #-------------------- # Contribution_Date # Date: 2015-08-06 #-------------------- # Title # Study_Name: Northwestern Alps 1000 Year Warm Season Precipitation and Flood Reconstructions #-------------------- # Investigators # Investigators: Amann, B.; Szidat, S.; Grosjean, M. #-------------------- # Description_Notes_and_Keywords # Description: 1000-year warm season (May-August) flood frequency reconstruction valid for the northern European Alps, based on the occurence of flood layers # in the sediments of Lake Oeschien (Swiss Alps). The sediment record is based on a highly accurate, precise and reproducible varve chronology. # This age-depth model is verified in the instrumental period ( AD 1901-2008) by six turbidite layers corresponding to high-flood events in a nearby river. # Prominent flood layers in the sediments compared well with spring/summer flood disasters documented in written archives of the Kander region back to AD 1480. # The comparison shows consistency between the varve-ages of the flood layers found in Lake Oeschinen sediments and the ages of the flood disasters documented # in written sources from the Kander River. #-------------------- # Publication # Authors: Amann, Benjamin; Szidat, Sonke; Grosjean, Martin # Published_Date_or_Year: 2015-05-01 # Published_Title: A millennial-long record of warm season precipitation and flood frequency for the North-western Alps inferred from varved lake sediments: implications for the future # Journal_Name: Quaternary Science Reviews # Volume: 115 # Edition: # Issue: # Pages: 89-100 # Report_Number: # DOI: 10.1016/j.quascirev.2015.03.002 # Online_Resource: http://dx.doi.org/10.1016/j.quascirev.2015.03.002 # Full_Citation: Benjamin Amann, Sonke Szidat, Martin Grosjean, A millennial-long record of warm season precipitation and flood frequency for the North-western Alps inferred from varved lake sediments: implications for the future. # Abstract: The recent warming of the global climate is well recognized. However, does a warmer climate also mean a moister climate? Does dry get drier and wet get wetter? There are important questions as they relate to changes in the water cycle and impacts the water resources as well as the frequency and intensity of storms and floods in the near future. In Europe, regional climate models do not show consistent and robust results for future hydroclimatic changes and how extreme events will evolve in response to future climate change. Paleo-hydroclimatic data from natural archives are one of the few means to assess such changes in the longer context. Here, we present an annually-resolved record of warm season (MJJA) precipitation and summer flood frequency from the varved (annually laminated) sediments of proglacial Lake Oeschinen (46 30 N-7 44 E, 1580 m, NW Swiss Alps) back to AD 884. These data sets are inferred from the thickness of annual sediment deposits and the occurrence of flood event layers in the sediments. The chronology of the sediment record is based on multiple varve counts and validated with historical floods chronicled in written documents (back to the 14th century) and 14C AMS dates. The precipitation record shows pronounced interannual to centennial variability with humid warm season phases between AD 920-950, AD 1100-1180, AD 1300-1400, AD 1590-1650, AD 1700-1790, AD 1820-1880, and AD 1960-2008. Driest conditions are reconstructed for AD 960-1080, AD 1250-1300 and for AD 1880-1900. Our precipitation record is consistent with the few multi-centennial warm-season precipitation records available for Europe. We did not find a persistent relationship between warm-season precipitation and temperature. In contrast, results show that the relation between precipitation and temperature has oscillated between positive correlations (warmer gets wetter, cooler gets drier) and negative correlations (warmer gets drier, cooler gets wetter) with a highly significant (X2 = 99%) multidecadal (60-70 yrs) periodicity over the last millennium. Possible explanations for this phenomenon are changes in the weather type statistics or the within-weather-type variability, which influence the combinations between precipitation and temperature over continental central Europe and operate at multidecadal scales. Such multidecadal effects might also be important for precipitation scenarios in the Alpine area under future warming. Our record of flood frequency suggests more frequent floods under cool and humid climate during the warm seasons. This picture is consistent with other studies from small and medium size catchments at mid- and high elevations in the Alpine area. However, the 13th century reveals a period with high flood frequency during warm and moderately dry (average precipitation) conditions. This anomalous situation is currently not understood; nonetheless, this is also one out of several possible scenarios for the future. From the different combinations found in our record, we conclude that the relation between floods, precipitation and temperature and, in consequence, future projections remain poorly constrained. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: 200020-134945/1 #------------------ # Site_Information # Site_Name: Lake Oeschinen # Location: Europe>Western Europe>Switzerland # Country: Switzerland # Northernmost_Latitude: 46.4983 # Southernmost_Latitude: 46.4983 # Easternmost_Longitude: 7.7269 # Westernmost_Longitude: 7.7269 # Elevation: 1580 m #------------------ # Data_Collection # Collection_Name: Oeschinen2015flood # Earliest_Year: 884 # Most_Recent_Year: 2008 # Time_Unit: AD # Core_Length: 5.64 m # Notes: #------------------ # Chronology_Information # Chronology: The sediment chronology for the upper 50 cm of the core had already been established using a 210Pb-CRS model constrained with the AD 1963 137Cs peak, # which was consistent with varve counting (Amann et al., 2014. Journal of Paleolimnology, 51: 375-391). # To validate the varve counting in the rest of the sequence, we used five terrestrial plant macrofossils and two replicates for 14C dating. In addition, # the reliability of the varve chronology is confirmed by the consistency between flood layers and documentary data. More than 90% of the thick flood layers # found in the sediments of Lake Oeschinen can be related to flood disasters documented in written archives from a closeby river (difference +/- 5 years). # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # 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) # ## depth_cm depth, , , cm, , , , ,N ## age_calBP age, , , calendar years before present, , , , ,N ## floodlayer_thick_mm flood layer thickness, , , mm, , Paleolimnology, , ,N ## floodfreq_>5mm_31yr flood frequency 31yr filtered, , , number of floods, May-August, Climate Reconstructions, , ,N ## floodfreq_>5mm_51yr flood frequency 51yr filtered, , , number of floods, May-August, Climate Reconstructions, , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: (Value used to flag missing data in the table below) # depth_cm age_calBP floodlayer_thick_mm floodfreq_>5mm_31yr floodfreq_>5mm_51yr 2.111 -58 2.649 -57 3.008 -56 4.028 -55 10.204 4.835 -54 5.050 -53 5.536 -52 6.150 -51 6.305 -50 1.555 7.300 -49 7.443 7.901 -48 8.127 -47 8.469 -46 8.845 -45 9.182 -44 9.442 -43 4 9.689 -42 2.473 4 10.102 -41 4 10.316 -40 4 11.086 -39 7.700 3 11.812 -38 3.675 3 12.339 -37 3.474 3 13.184 -36 3 13.612 -35 3 13.983 -34 3 14.452 -33 2 5 17.486 -32 30.343 2 5 18.528 -31 2 5 18.990 -30 2 6 19.603 -29 2 5 20.293 -28 2 5 20.533 -27 3 5 20.771 -26 3 5 21.186 -25 3 5 21.517 -24 3 5 21.988 -23 2 4 22.138 -22 2 4 22.402 -21 2 4 22.660 -20 3 4 22.976 -19 3 5 23.199 -18 3 5 23.413 -17 3 5 23.625 -16 2 5 24.282 -15 2 5 24.510 -14 2 5 25.090 -13 2 4 25.703 -12 6.130 2 4 26.402 -11 2 4 26.582 -10 2 4 26.723 -9 3 4 27.080 -8 3 4 27.450 -7 3 4 27.653 -6 3 3 29.614 -5 16.977 3 4 29.797 -4 3 4 30.112 -3 3 4 30.294 -2 3 4 30.633 -1 3 4 30.753 0 3 4 31.035 1 3 4 31.307 2 3 4 31.623 3 3.165 3 4 31.975 4 1.801 2 4 32.399 5 3 4 33.443 6 10.440 3 4 33.778 7 3 4 34.173 8 3 5 34.471 9 3 5 34.809 10 3 6 35.211 11 2 6 35.587 12 2 6 35.766 13 2 6 35.974 14 2 5 36.217 15 2 5 36.500 16 2 5 36.979 17 4.789 2 5 37.388 18 3 5 37.746 19 3 5 38.625 20 8.791 4 5 39.211 21 4 4 39.456 22 3 4 39.907 23 3 4 40.640 24 3 4 41.033 25 3 4 41.555 26 3 4 41.902 27 3 4 42.376 28 3 4 42.627 29 2.509 3 4 43.128 30 2.209 3 4 43.791 31 3 4 44.005 32 3 3 44.739 33 7.338 3 3 45.211 34 3 3 45.963 35 7.527 3 3 46.411 36 2 3 46.612 37 2 3 46.766 38 2 3 46.907 39 2 3 47.028 40 2 3 47.370 41 2 3 47.511 42 2 3 47.726 43 2 3 47.855 44 2 3 47.999 45 1.436 2 3 48.541 46 2 2 48.652 47 2 2 48.801 48 2 2 49.182 49 1 3 49.475 50 1 3 49.788 51 0 3 50.241 52 0 3 50.722 53 4.813 0 3 51.266 54 0 3 51.559 55 0 3 51.915 56 0 3 52.190 57 0 3 52.382 58 1.925 0 3 52.845 59 2.120 1 2 53.374 60 1 2 53.571 61 1.974 1 2 54.024 62 1 2 54.188 63 1.636 1 2 54.438 64 1 3 54.621 65 1 3 54.758 66 1 3 54.926 67 1 3 55.159 68 1 3 55.309 69 1.499 1 3 55.593 70 1 3 55.781 71 4.621 2 4 56.801 72 4.139 2 4 57.172 73 1.974 2 4 58.192 74 7.364 3 4 58.491 75 1.348 3 4 58.842 76 1.682 3 4 59.431 77 3 5 59.623 78 3.002 3 5 60.637 79 3 5 61.157 80 3 5 61.775 81 4 5 62.133 82 4 5 62.393 83 4 5 62.712 84 4 5 63.213 85 4 5 64.030 86 8.163 4 5 64.405 87 5 5 64.690 88 5 6 65.444 89 14.080 5 6 67.464 90 4 7 67.867 91 4 7 68.279 92 4 7 68.445 93 1.660 4 7 69.070 94 4 7 69.767 95 4 7 70.293 96 5.261 4 7 71.017 97 4 7 71.366 98 5 7 71.768 99 5 7 71.979 100 6 6 72.269 101 6 6 73.045 102 7.759 5 6 73.565 103 5 6 74.006 104 5 6 74.330 105 3.241 4 7 74.958 106 3.781 4 7 75.425 107 2.996 4 7 76.348 108 4 7 76.562 109 2.141 4 7 77.348 110 4.000 4 7 77.823 111 4 8 78.078 112 2.549 3 7 79.164 113 8.985 3 7 79.777 114 3 7 80.444 115 6.663 4 6 80.763 116 4 6 80.906 117 4 6 81.190 118 2.839 3 6 81.674 119 1.936 3 6 82.182 120 3 7 82.526 121 4 8 82.840 122 4 7 83.258 123 4.174 4 7 83.985 124 4.665 4 7 84.412 125 3.045 4 7 84.996 126 4.223 4 7 85.857 127 2.816 4 7 86.409 128 4 6 86.736 129 3.263 3 6 87.861 130 9.477 4 7 88.625 131 4 7 88.959 132 4 7 89.357 133 4 7 89.653 134 2.959 4 7 90.432 135 2.959 4 7 91.017 136 5.843 4 7 92.408 137 4 7 92.762 138 3.535 4 7 93.537 139 4 6 93.862 140 3.242 5 6 94.309 141 2.406 5 5 95.194 142 5 5 95.572 143 4.367 5 5 96.805 144 5 5 97.558 145 7.525 5 5 99.123 146 12.226 4 5 99.565 147 4 5 99.758 148 4 5 99.886 149 1.275 4 5 100.319 150 4 5 100.579 151 4 5 100.858 152 3 5 101.217 153 3.596 3 5 101.695 154 3 5 102.414 155 7.186 3 5 103.524 156 3 4 103.728 157 3 4 103.979 158 3 5 104.200 159 3 5 104.455 160 3 5 104.666 161 2 5 104.892 162 1 4 105.133 163 1 4 105.472 164 1 4 105.766 165 1 4 106.002 166 1 4 106.287 167 2.848 1 4 106.801 168 2.505 2 4 107.493 169 4.321 2 4 108.078 170 3.732 2 4 108.564 171 1 3 108.690 172 1.263 1 2 109.152 173 4.603 1 2 110.040 174 2.320 1 2 110.623 175 1 2 110.981 176 1 2 111.929 177 1 2 112.155 178 1 2 112.386 179 1 3 112.651 180 1 3 113.014 181 1 2 113.471 182 1 2 113.977 183 5.058 1 2 114.738 184 1 3 115.314 185 1 3 115.692 186 3.781 1 3 116.449 187 1 3 116.761 188 3.122 1 4 117.463 189 3.241 2 5 118.028 190 3.977 2 5 118.770 191 2 5 119.226 192 4.566 2 5 120.155 193 2 5 120.457 194 3 5 120.661 195 2.043 3 6 121.096 196 3.388 3 6 121.513 197 3 6 121.769 198 4 7 122.122 199 4 7 122.466 200 4 8 122.869 201 4 8 123.025 202 1.560 4 9 123.784 203 4 9 125.114 204 13.308 4 9 125.454 205 5 10 125.655 206 5 10 125.847 207 5 10 126.077 208 6 10 126.888 209 8.103 6 9 127.344 210 2.553 7 9 128.012 211 7 9 128.280 212 2.681 8 9 128.852 213 5.598 8 9 130.468 214 5.636 8 9 131.082 215 2.946 9 9 131.474 216 9 9 131.705 217 9 9 131.921 218 9 9 132.284 219 3.633 9 10 133.380 220 8.790 8 10 134.435 221 8 10 134.705 222 8 10 135.383 223 6.776 8 10 136.344 224 8 11 136.845 225 5.008 7 11 137.424 226 7 11 138.352 227 9.280 7 12 138.858 228 2.772 7 12 139.528 229 4.251 7 12 141.391 230 16.743 6 11 141.887 231 6 11 142.221 232 6 11 142.545 233 6 11 142.854 234 7 12 143.190 235 3.356 7 12 143.907 236 6 12 144.315 237 7 13 144.595 238 7 13 144.904 239 3.095 6 12 145.243 240 6 11 145.484 241 5 11 145.778 242 5 11 145.937 243 1.583 4 11 147.940 244 17.298 5 11 148.538 245 6 11 148.774 246 5 10 148.960 247 1.866 6 10 149.756 248 6 10 150.527 249 7.710 6 9 150.885 250 6 9 151.072 251 6 8 152.353 252 12.812 6 8 153.152 253 3.192 6 7 153.423 254 6 7 153.545 255 6 7 153.698 256 6 6 153.845 257 6 6 154.140 258 6 6 154.327 259 9.806 6 6 156.075 260 5.369 5 6 156.583 261 5 6 157.084 262 5.012 5 6 157.673 263 3.144 5 6 158.413 264 4.321 5 6 159.101 265 4 6 159.450 266 4 6 159.769 267 4 6 160.000 268 3 6 160.373 269 3.732 3 6 160.678 270 3 5 160.869 271 3 5 161.108 272 2.391 3 5 161.682 273 2.849 3 5 162.191 274 1.850 3 5 162.793 275 2 4 163.058 276 1 4 163.426 277 3.680 1 5 164.077 278 4.128 0 4 164.725 279 0 4 165.324 280 0 5 165.520 281 1.965 0 5 166.031 282 0 5 166.466 283 4.350 0 5 167.065 284 3.536 0 5 167.419 285 1.720 0 4 167.867 286 0 3 168.277 287 1 3 168.532 288 1 2 168.735 289 2.028 1 2 169.374 290 2 2 169.836 291 4.616 2 2 170.647 292 2 2 171.030 293 3.826 2 2 171.723 294 3.343 2 2 172.386 295 2.259 2 3 173.010 296 3.880 2 3 173.853 297 2 3 174.045 298 2 3 174.241 299 2 3 174.717 300 2 3 175.211 301 4.939 2 4 176.575 302 10.315 2 4 177.503 303 2 4 178.279 304 4.518 2 4 178.865 305 5.857 3 4 179.504 306 2.413 3 4 179.893 307 3 4 180.165 308 2.716 3 4 180.701 309 3 4 180.929 310 2.590 3 4 181.685 311 4 5 181.922 312 4 5 182.233 313 4.615 4 5 183.253 314 1.966 4 5 183.739 315 4 5 184.101 316 3.614 4 5 184.605 317 3.111 4 5 185.509 318 3 5 185.759 319 2.504 3 5 186.446 320 5.049 3 5 187.062 321 3.547 3 5 187.768 322 2.517 3 5 188.544 323 3 5 188.873 324 3.291 3 5 189.389 325 3 5 190.614 326 12.247 3 5 191.191 327 3 5 191.630 328 4.388 3 5 192.245 329 4.379 3 5 192.533 330 1.647 3 5 192.890 331 3 4 193.181 332 2.910 3 4 193.475 333 3 4 193.779 334 3 4 194.044 335 2.652 3 4 197.519 336 32.588 2 4 198.128 337 2 4 198.393 338 3 4 198.531 339 4.420 3 4 200.145 340 3 4 200.391 341 3 4 200.788 342 2 5 201.476 343 2 5 202.090 344 2 5 202.531 345 2 5 202.839 346 3.079 2 4 203.501 347 2 4 203.747 348 2 4 203.925 349 2 4 204.090 350 1.647 2 4 204.351 351 1.740 2 4 204.996 352 2 3 209.588 353 45.929 2 3 210.497 354 2 3 210.831 355 2 4 211.072 356 2.408 2 4 211.456 357 2 4 211.679 358 2 4 211.938 359 2 4 212.222 360 2.848 2 4 212.684 361 2 4 212.905 362 2 3 213.362 363 4.566 2 3 213.869 364 2 3 214.132 365 3 3 214.351 366 3 4 214.532 367 12.491 3 4 216.604 368 3 4 216.819 369 2 4 217.094 370 2 4 217.349 371 2 4 217.560 372 2.111 2 4 218.150 373 2 4 218.562 374 2 4 218.891 375 2 5 219.310 376 4.188 3 5 219.809 377 3 5 220.001 378 1.915 3 5 220.428 379 2.013 3 4 221.405 380 6.678 3 4 221.893 381 3 4 222.105 382 3 4 222.404 383 2 4 222.684 384 2.800 2 4 223.033 385 3 5 223.239 386 3 5 223.676 387 3 5 223.927 388 3 5 224.313 389 3 5 224.624 390 3.111 3 5 225.565 391 6.117 3 5 226.209 392 3 5 226.469 393 2.603 3 5 227.034 394 3 5 227.232 395 1.982 4 5 227.768 396 3 5 228.236 397 4.677 3 5 228.571 398 3 5 228.762 399 3 5 230.481 400 17.187 3 6 231.302 401 3 6 231.528 402 3 7 231.744 403 4 7 231.996 404 2.522 4 7 232.360 405 1.785 4 7 232.871 406 4 7 233.028 407 1.572 3 7 233.417 408 3 7 233.711 409 3 7 236.810 410 30.986 4 8 237.325 411 2.386 4 8 237.652 412 5 8 237.806 413 5 8 237.932 414 1.262 5 9 238.393 415 5 9 238.874 416 5 9 239.131 417 5 8 239.715 418 5.832 5 8 240.365 419 4.592 5 8 240.758 420 6 8 241.188 421 4.294 6 8 242.583 422 6 9 242.911 423 6 9 243.096 424 1.850 7 9 243.983 425 6.661 7 9 244.532 426 6 8 245.032 427 5.005 6 8 245.504 428 2.333 6 9 246.220 429 3.282 6 9 246.932 430 4.709 6 9 247.922 431 7.738 6 9 248.454 432 3.225 7 10 249.077 433 3.586 7 10 249.812 434 4.355 6 10 250.403 435 7.644 6 11 251.627 436 2.207 6 11 252.165 437 3.282 6 11 252.606 438 2.507 7 12 253.402 439 5.511 7 12 253.819 440 2.505 7 12 254.422 441 6 13 254.798 442 3.759 7 13 255.411 443 3.803 6 13 255.993 444 6 12 256.369 445 3.757 7 12 256.806 446 2.398 8 12 258.706 447 16.306 7 12 259.171 448 8 13 259.421 449 2.505 8 13 259.982 450 3.400 8 13 260.430 451 2.326 8 12 261.056 452 2.266 8 12 262.642 453 13.656 8 11 263.181 454 2.820 8 11 263.640 455 2.747 7 12 264.237 456 7 12 264.481 457 5.069 7 11 265.535 458 8 11 265.929 459 3.936 8 11 266.448 460 9.346 8 11 269.287 461 8.946 8 10 270.806 462 3.995 8 10 271.594 463 5.487 7 10 272.489 464 7 10 272.763 465 8 9 273.151 466 18.409 8 9 275.344 467 8 9 275.600 468 2.565 8 10 276.274 469 4.532 7 10 276.735 470 2.316 7 10 277.244 471 3.355 7 10 277.589 472 1.968 7 10 278.627 473 8.949 6 9 279.229 474 6 10 279.493 475 2.641 6 10 280.033 476 2.868 5 10 280.641 477 4 10 280.898 478 5 11 281.172 479 4 11 282.053 480 8.810 4 12 282.739 481 4.592 4 12 283.682 482 3.757 3 12 284.522 483 3 11 284.895 484 3.728 4 11 285.864 485 4 11 286.136 486 4 10 286.300 487 4 10 286.505 488 5 10 286.752 489 5 9 286.890 490 1.377 6 10 287.296 491 2.088 6 10 287.712 492 2.370 6 9 288.883 493 6.394 6 9 289.862 494 6 10 290.214 495 6 10 290.411 496 5 10 290.715 497 3.042 6 10 291.097 498 6 11 293.693 499 25.965 6 10 294.240 500 3.204 7 10 294.778 501 2.329 7 10 295.210 502 7 10 295.778 503 5.688 7 10 297.837 504 7.258 8 10 300.043 505 22.057 8 10 300.699 506 2.448 8 9 301.158 507 8 9 301.433 508 2.752 9 9 301.970 509 3.101 8 9 302.439 510 8 9 302.714 511 2.749 8 9 306.722 512 22.111 8 9 307.337 513 3.536 8 10 307.859 514 2.406 8 11 308.981 515 8.603 7 11 309.417 516 7 11 309.679 517 2.627 7 11 310.401 518 2.683 7 11 310.973 519 5.725 6 10 311.331 520 5 10 311.546 521 4 10 311.910 522 4 10 315.850 523 34.096 5 10 316.059 524 2.088 6 10 316.394 525 6 9 316.651 526 6 9 317.009 527 3.578 6 9 317.486 528 1.908 5 9 317.981 529 4.950 5 8 318.672 530 2.923 5 7 319.138 531 4 6 319.388 532 4 7 319.609 533 4 7 319.961 534 3.522 4 7 320.569 535 3.399 3 7 320.998 536 3 8 321.243 537 3 8 322.018 538 5.012 3 7 323.922 539 19.037 2 7 324.705 540 2.385 2 7 324.908 541 2.027 2 6 325.302 542 3 6 325.547 543 2.448 3 6 326.039 544 2.849 3 7 326.482 545 3 6 326.697 546 2.147 4 6 327.382 547 2.923 4 6 327.627 548 4 6 328.056 549 4.294 4 5 328.870 550 4 5 329.572 551 4 5 330.186 552 4 6 330.585 553 4 6 330.956 554 4 6 331.391 555 3 6 331.902 556 3 7 332.791 557 8.895 3 7 333.249 558 2.430 3 8 333.868 559 3 8 334.285 560 4.175 3 8 335.763 561 9.789 3 8 336.388 562 3.816 4 8 336.812 563 4 8 337.176 564 4 8 337.629 565 4.532 4 7 338.351 566 2.743 5 7 338.906 567 5 8 339.240 568 6 8 339.937 569 6.968 6 9 340.593 570 6 9 340.771 571 1.771 6 9 341.412 572 2.056 6 10 341.717 573 5 10 341.929 574 6 10 342.477 575 2.108 6 10 342.694 576 2.167 6 10 343.774 577 9.128 6 10 345.679 578 4.876 6 10 345.960 579 2.803 7 10 346.818 580 2.445 7 10 347.191 581 5.194 7 10 348.268 582 8 10 348.922 583 6.542 8 10 349.446 584 8 10 349.726 585 2.803 7 11 350.265 586 7 11 350.552 587 7 10 350.767 588 2.148 7 11 351.647 589 6.065 7 11 352.185 590 7 11 352.406 591 7 11 352.954 592 5.482 7 11 353.548 593 2.603 7 12 354.925 594 10.553 7 12 355.395 595 2.737 8 12 355.867 596 2.680 8 12 357.202 597 9.988 7 12 357.657 598 8 12 358.167 599 3.344 7 12 358.350 600 1.834 7 13 359.016 601 3.568 7 13 359.299 602 7 13 359.600 603 8 12 359.798 604 8 12 360.245 605 4.469 8 12 360.783 606 8 13 361.046 607 8 12 361.341 608 8.890 7 13 363.119 609 3.938 7 12 363.973 610 8.541 7 12 364.774 611 7 12 365.112 612 3.378 7 12 365.903 613 5.775 6 12 366.382 614 2.684 6 12 366.984 615 6 11 367.195 616 7 11 367.566 617 3.712 7 11 368.956 618 7.136 8 10 369.533 619 8 10 370.389 620 8.562 8 9 371.524 621 8 9 371.865 622 8 9 372.148 623 8 8 372.537 624 3.883 7 8 373.322 625 5.275 7 8 373.839 626 6 8 374.083 627 6 8 374.319 628 6 8 374.688 629 5 8 374.976 630 5 8 375.499 631 5.227 5 8 376.820 632 4.955 5 8 377.280 633 6.391 5 8 378.398 634 2.987 4 8 378.956 635 3.278 4 8 379.752 636 3 7 380.149 637 3.972 3 7 380.724 638 3 7 380.824 639 1.001 3 6 381.006 640 3 6 381.129 641 2 6 381.192 642 2 6 381.281 643 0.886 2 6 381.575 644 1.637 3 5 381.883 645 3 5 382.017 646 3 4 382.422 647 2.775 2 4 382.572 648 1.496 2 4 383.098 649 2.507 1 4 383.277 650 1.436 1 4 383.420 651 1 3 383.741 652 1 3 383.879 653 1 3 384.052 654 1 3 384.214 655 1 3 384.385 656 1 3 384.522 657 1 2 384.722 658 1 2 385.634 659 9.116 1 1 386.145 660 1 1 386.363 661 1 1 386.614 662 1 1 386.799 663 1.857 1 1 387.372 664 1 2 387.575 665 1 2 387.754 666 1.793 1 2 388.108 667 1 2 388.295 668 1.873 1 3 388.626 669 1 3 389.017 670 2.240 1 3 389.245 671 1 3 389.532 672 1 3 389.711 673 1.793 1 3 390.203 674 2 3 390.344 675 1 3 390.474 676 1 3 390.620 677 1 3 390.783 678 2 3 390.916 679 2 3 391.105 680 2 3 391.251 681 2 3 391.388 682 2 3 391.539 683 2 3 391.768 684 2.282 2 4 392.111 685 1.496 2 3 392.617 686 2 4 392.814 687 2 4 392.987 688 2 4 393.627 689 6.399 2 4 393.951 690 2 4 394.327 691 3.761 2 4 394.913 692 2 4 396.540 693 15.450 2 4 396.947 694 1.923 3 5 397.158 695 3 5 398.003 696 3.899 4 5 398.481 697 2.893 4 5 398.818 698 1.779 4 5 399.214 699 4 5 399.533 700 3.191 4 5 400.589 701 4.985 4 5 400.882 702 4 5 401.157 703 3.041 4 5 402.028 704 5 5 402.446 705 4.177 4 6 402.911 706 4 6 403.162 707 4 6 403.412 708 4 6 404.427 709 7.767 3 6 404.806 710 3 6 408.699 711 38.930 3 6 409.171 712 3 7 409.350 713 3 7 409.523 714 1.730 3 7 409.982 715 4 6 410.639 716 4.115 4 6 410.877 717 4 6 411.170 718 4 7 413.035 719 18.655 4 7 414.062 720 2.923 4 7 414.324 721 4 7 414.646 722 5 7 415.374 723 4.595 5 8 416.096 724 4.353 5 8 417.293 725 2.857 4 8 417.523 726 4 9 417.727 727 3 10 417.938 728 2.115 4 10 418.574 729 1.976 5 10 420.892 730 23.185 5 10 421.763 731 2.404 5 10 422.166 732 5 10 422.363 733 6 10 422.566 734 6 10 422.776 735 5 9 422.966 736 6 9 424.055 737 7.648 7 8 424.375 738 3.199 7 8 424.702 739 7 8 424.870 740 7 8 425.093 741 7 8 425.315 742 7 8 426.888 743 6.983 7 8 427.395 744 5.072 7 8 427.995 745 7 7 428.538 746 3.878 6 7 428.754 747 6 7 430.030 748 12.766 6 7 430.251 749 6 7 430.583 750 1.531 6 7 431.419 751 24.014 6 7 435.502 752 6.619 6 7 435.807 753 5 7 436.098 754 5 7 436.934 755 4.238 5 8 437.232 756 5 7 437.584 757 5 7 437.847 758 5 7 438.199 759 4 7 438.509 760 3 7 438.820 761 3 7 439.130 762 3.103 3 7 439.567 763 3 6 439.746 764 2 6 439.955 765 3 6 440.196 766 3 6 440.404 767 2 6 440.599 768 1 6 440.794 769 1 5 441.071 770 2.772 1 5 441.571 771 1 6 442.155 772 3.578 1 7 442.651 773 2.323 1 7 443.044 774 1 7 443.712 775 4.723 1 7 443.932 776 1 7 444.177 777 1 6 444.466 778 1 5 444.873 779 1 6 445.680 780 8.076 2 7 446.708 781 4.593 3 7 447.007 782 4 7 447.211 783 4 7 447.404 784 5 7 447.523 785 5 7 447.744 786 5 7 448.024 787 2.805 5 8 448.475 788 5 8 448.878 789 6 8 449.360 790 7 8 449.812 791 7 8 450.237 792 7 8 450.599 793 7 8 450.851 794 7 8 451.358 795 5.072 7 8 452.575 796 9.052 6 8 453.969 797 7.510 7 8 454.276 798 7 8 455.044 799 7.676 7 9 455.765 800 7 9 456.141 801 7 9 456.755 802 7 9 457.660 803 7 9 458.710 804 5.465 7 9 459.633 805 5.163 7 9 460.015 806 7 9 460.524 807 7 10 460.845 808 7 11 461.127 809 8 11 461.552 810 2.271 8 11 461.973 811 1.696 7 11 462.991 812 10.179 6 11 463.710 813 5 11 463.891 814 5 11 464.104 815 4 11 464.424 816 5 11 464.739 817 6 11 464.896 818 1.569 7 11 465.197 819 1.628 7 11 465.923 820 2.966 6 12 466.445 821 2.694 5 11 466.980 822 5 10 467.308 823 5 9 468.675 824 10.559 5 10 469.294 825 3.645 5 10 469.577 826 5 10 469.927 827 5 10 470.214 828 4 10 470.650 829 4 10 470.966 830 5 9 472.983 831 15.578 5 8 473.796 832 8.128 5 8 475.610 833 7.698 5 8 475.920 834 6 8 476.299 835 7 8 476.779 836 7 8 476.953 837 7 8 477.155 838 4.397 7 8 478.248 839 4.720 7 8 478.731 840 6 8 479.119 841 3.877 6 9 479.554 842 6 9 479.877 843 6 9 480.284 844 6 9 481.511 845 9.810 6 9 481.769 846 6 9 481.975 847 2.056 5 9 482.714 848 5 9 484.134 849 11.097 4 9 485.108 850 9.733 4 8 485.775 851 1.361 5 8 486.005 852 5 8 486.124 853 5 8 486.267 854 5 8 486.490 855 5 9 486.798 856 3.078 5 9 487.291 857 5 9 487.774 858 2.598 5 8 488.076 859 5 7 488.327 860 5 7 488.596 861 4 7 488.785 862 4 8 489.844 863 10.598 4 8 490.670 864 2.640 4 8 491.058 865 4 8 491.587 866 5.291 3 8 492.071 867 4 8 492.305 868 2.344 4 8 492.909 869 4 8 493.117 870 4 8 493.311 871 4 7 493.541 872 5 7 493.777 873 5 7 493.997 874 5 7 494.258 875 5 6 494.453 876 5 5 494.639 877 5 5 494.945 878 5 5 495.218 879 4 5 496.421 880 6.652 4 5 496.907 881 4 5 497.716 882 6.491 3 6 497.897 883 3 6 498.142 884 3 6 498.414 885 3 6 498.647 886 3 6 499.571 887 9.246 3 6 499.904 888 3 6 500.066 889 3 5 500.251 890 3 5 500.515 891 3 5 500.701 892 4 4 500.923 893 2.218 4 4 501.257 894 4 4 501.347 895 4 4 501.496 896 3 4 501.803 897 3.062 3 4 502.433 898 4.070 2 4 502.808 899 2 4 502.977 900 2 5 503.129 901 2 5 503.315 902 2 5 503.538 903 2.232 1 5 503.920 904 1 5 504.115 905 1 5 504.341 906 1 4 504.915 907 5.746 1 4 505.283 908 1 3 505.518 909 1 3 505.748 910 2 3 506.110 911 2 3 506.311 912 2 3 506.494 913 2 3 506.644 914 2 3 506.821 915 2 3 506.974 916 2 3 507.152 917 2 3 507.423 918 2.717 2 3 507.913 919 2 3 508.082 920 2 3 508.282 921 2 3 508.430 922 2 3 508.662 923 2 3 508.862 924 2 3 511.249 925 23.875 2 3 511.573 926 2 3 511.761 927 2 3 511.930 928 2 3 512.171 929 2 3 512.281 930 2 3 512.392 931 2 3 512.624 932 2 3 512.822 933 2 2 512.978 934 2 2 513.157 935 2 2 513.358 936 2 2 513.543 937 2 2 514.727 938 9.912 2 2 514.933 939 2 2 515.057 940 2 2 515.215 941 1 2 515.427 942 1 2 515.677 943 1 2 515.915 944 1 2 516.109 945 1 2 516.330 946 1 3 516.576 947 1 3 516.752 948 1 3 517.061 949 1 3 517.471 950 4.100 1 3 517.827 951 1 2 517.982 952 1 2 518.158 953 1 2 518.321 954 0 2 518.488 955 0 2 518.603 956 1 2 518.708 957 1 2 518.876 958 1 2 519.146 959 2.704 1 2 519.617 960 1 2 519.903 961 1 2 520.212 962 1 2 520.739 963 2.882 1 2 520.946 964 1 2 521.605 965 4.610 1 2 521.803 966 1 2 521.929 967 1 2 522.094 968 1 2 522.284 969 1 2 522.509 970 2.254 1 2 522.950 971 36.726 1 2 527.289 972 1 3 527.913 973 1 3 528.084 974 2 4 528.307 975 2 4 528.577 976 2 4 529.058 977 4.807 2 4 529.474 978 2 4 529.680 979 2 4 529.860 980 2 4 530.092 981 2 4 530.335 982 3 4 530.623 983 3 4 530.920 984 4 4 531.286 985 3.665 4 4 531.695 986 4 4 531.893 987 3 4 532.149 988 3 4 533.698 989 13.373 3 4 533.869 990 3 4 534.260 991 1.982 3 4 534.448 992 3 4 534.617 993 3 4 534.826 994 3 5 535.059 995 3 5 535.280 996 3 5 536.489 997 12.095 3 4 537.078 998 3 4 538.940 999 18.612 3 4 539.512 1000 3 4 539.757 1001 3 4 540.085 1002 3 4 540.359 1003 3 4 540.736 1004 4 4 541.466 1005 3 4 541.708 1006 3 4 541.878 1007 3 4 542.280 1008 4.017 3 4 542.931 1009 3 4 543.433 1010 2.753 3 4 543.666 1011 3 4 544.012 1012 3 5 544.257 1013 2 5 544.555 1014 2 5 544.847 1015 1 4 545.140 1016 1 5 545.317 1017 1 5 545.566 1018 1 5 547.681 1019 18.914 1 5 547.886 1020 1 5 548.185 1021 1 5 548.633 1022 4.476 2 6 549.440 1023 3.734 2 5 549.693 1024 2 5 549.995 1025 2 4 550.331 1026 3 4 550.620 1027 3 4 550.806 1028 3 4 551.028 1029 3 4 551.256 1030 3 5 551.443 1031 3 6 551.676 1032 4 6 551.853 1033 1.773 4 6 552.170 1034 4 6 552.302 1035 3 6 552.433 1036 3 6 554.059 1037 14.188 3 6 554.378 1038 3 6 554.562 1039 3 7 554.743 1040 4 7 555.813 1041 6.284 5 7 556.305 1042 5 556.597 1043 5 556.838 1044 5 557.089 1045 5 557.369 1046 5 557.609 1047 2.404 5 557.992 1048 5 558.142 1049 6 558.399 1050 6 558.717 1051 6 558.935 1052 559.139 1053 559.391 1054 560.040 1055 3.348 561.302 1056 10.054 561.481 1057 561.785 1058 562.167 1059 562.525 1060 562.763 1061 563.020 1062 563.289 1063 564.023 1064 5.256 564.309 1065 564.619 1066