CALIBRATION PROCESS ERROR
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Listowel Abugri Anaba
May 28, 2016, 10:48:33 AM5/28/16
to SWAT-CUP
Dear Dr Abbaspour and SWATCUP users,
I encountered a problem in the calibration process of my model. I was able to run SWATCUP successful on one simulation but when I increased the number of simulations to 2, 3, and 4 the SUFI2_post.bat encountered a problem. Please see the attached jpeg. Can someone point out to me what is wrong?
Meanwhile, my first simulation results was not good as all the simulated values came out to be zero as shown below
FLOW_OUT_21
observed simulated
0.5110 0.0000
0.6240 0.0000
1.5970 0.0000
1.1760 0.0000
0.6850 0.0000
0.9990 0.0000
1.9660 0.0000
2.1920 0.0000
0.6260 0.0000
0.8790 0.0000
0.9950 0.0000
0.7960 0.0000
0.7070 0.0000
0.6390 0.0000
0.7790 0.0000
0.9510 0.0000
1.3620 0.0000
0.7950 0.0000
0.6210 0.0000
0.6030 0.0000
0.6170 0.0000
no_pars= 13
no_Sims= 1
type_of_goal_fn= Nash_Sutcliff
Sim_No. 1:R__CN2.mgt 2:V__ALPHA_BF.gw 3:V__GW_DELAY.gw 4:V__GWQMN.gw 5:V__GW_REVAP.gw 6:V__ESCO.hru 7:V__CH_N2.rte 8:V__CH_K2.rte 9:V__ALPHA_BNK.rte 10:R__SOL_AWC(..).sol 11:R__SOL_K(..).sol 12:R__SOL_BD(..).sol 13:V__SFTMP.bsn goal_value
1 0.0000 0.5000 240.0000 1.0000 0.1000 0.9000 0.1500 67.5000 0.5000 0.1000 0.0000 0.0500 0.0000 -1.797979
Thank you very much as I look forward to hearing from you.
Good day,
Listowel Anaba
I encountered a problem in the calibration process of my model. I was able to run SWATCUP successful on one simulation but when I increased the number of simulations to 2, 3, and 4 the SUFI2_post.bat encountered a problem. Please see the attached jpeg. Can someone point out to me what is wrong?
Meanwhile, my first simulation results was not good as all the simulated values came out to be zero as shown below
FLOW_OUT_21
observed simulated
0.5110 0.0000
0.6240 0.0000
1.5970 0.0000
1.1760 0.0000
0.6850 0.0000
0.9990 0.0000
1.9660 0.0000
2.1920 0.0000
0.6260 0.0000
0.8790 0.0000
0.9950 0.0000
0.7960 0.0000
0.7070 0.0000
0.6390 0.0000
0.7790 0.0000
0.9510 0.0000
1.3620 0.0000
0.7950 0.0000
0.6210 0.0000
0.6030 0.0000
0.6170 0.0000
no_pars= 13
no_Sims= 1
type_of_goal_fn= Nash_Sutcliff
Sim_No. 1:R__CN2.mgt 2:V__ALPHA_BF.gw 3:V__GW_DELAY.gw 4:V__GWQMN.gw 5:V__GW_REVAP.gw 6:V__ESCO.hru 7:V__CH_N2.rte 8:V__CH_K2.rte 9:V__ALPHA_BNK.rte 10:R__SOL_AWC(..).sol 11:R__SOL_K(..).sol 12:R__SOL_BD(..).sol 13:V__SFTMP.bsn goal_value
1 0.0000 0.5000 240.0000 1.0000 0.1000 0.9000 0.1500 67.5000 0.5000 0.1000 0.0000 0.0500 0.0000 -1.797979
Thank you very much as I look forward to hearing from you.
Good day,
Listowel Anaba
Abbaspour, Karim
May 28, 2016, 2:16:07 PM5/28/16
to swat...@googlegroups.com
Your whole setup is not correct and the information you sent is least helpful for detecting the problem. Carefully check the swatcup input files and see the Echo files to get some clue where the problem may be.
Karim
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Listowel Abugri Anaba
May 30, 2016, 2:32:16 AM5/30/16
to SWAT-CUP
Dear Dr Abbaspour,
Thank you very much. I have been able to run SWATCUP successfully at different simulations even up to 500. However, the output 95ppu plot and the summary statistics was not good as the best estimation is far below the observed. What could possibly be wrong?
Kindly see below the what the echo files contain and also the 95ppu plot in the attached.
number of parameters= 13
number of simulation= 150
-------------------- Reading observed.txt --------------
total number of variables= 1
obj fn type= 5
behavioral threshold= 0.500000
Power of MSN= 1.000000
FLOW_OUT_21.txt
file_name 1 = FLOW_OUT_21.txt
----- Echo of extract_rch_SUFI2.cpp
----------------------------
---- Reading SUFI2_extract_rch.def --------------
swat file name= output.rch
number of variables= 1
column number of variables= 7
total reaches in the project= 23
number of reaches for variable 1= 1
reach numbers for variable 1 = 7
total number of rchs to get= 1
beg_sim_year= 1997
end_sim_year= 2010
time_step= 1
--------------------------------------
---- Names of files of simulated variables:
file name 1= SUFI2.OUT/FLOW_OUT_21.txt
------- Reading observation file observed_rch.txt -----
---- total number of variables= 1
**** Time_Array ***********
variable no. = 1
282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302
303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323
324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344
345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365
366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386
387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407
408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 484 485 486 487
488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508
509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529
530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550
551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571
572 573 574 575 576 577 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623
624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644
645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665
666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686
687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707
708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728
729 730 762 763 764 765 766 767 768 790 791 792 793 794 795 796 797 798 799 800 801
802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 839 840
841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861
862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882
883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903
904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924
925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945
946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966
967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987
988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008
1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029
1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050
1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071
1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092
1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113
1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134
1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155
1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176
1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197
1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218
1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239
1240 1241 1242 1243 1244 1245 1246 1247 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573
1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594
1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615
1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636
1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657
1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678
1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699
1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720
1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741
1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762
1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783
1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804
1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825
1826 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039
2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060
2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081
2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102
2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123
2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144
2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160
-------------------------------------
variable no: 1 ----------------------
variable= 1 pfile_no=0
time_step= 1 year= 1997 end= 365
Once again, thank you very much. I look forward to hearing from you.
Good day,
Listowel Abugri Anaba
Thank you very much. I have been able to run SWATCUP successfully at different simulations even up to 500. However, the output 95ppu plot and the summary statistics was not good as the best estimation is far below the observed. What could possibly be wrong?
Kindly see below the what the echo files contain and also the 95ppu plot in the attached.
number of parameters= 13
number of simulation= 150
-------------------- Reading observed.txt --------------
total number of variables= 1
obj fn type= 5
behavioral threshold= 0.500000
Power of MSN= 1.000000
FLOW_OUT_21.txt
file_name 1 = FLOW_OUT_21.txt
----- Echo of extract_rch_SUFI2.cpp
----------------------------
---- Reading SUFI2_extract_rch.def --------------
swat file name= output.rch
number of variables= 1
column number of variables= 7
total reaches in the project= 23
number of reaches for variable 1= 1
reach numbers for variable 1 = 7
total number of rchs to get= 1
beg_sim_year= 1997
end_sim_year= 2010
time_step= 1
--------------------------------------
---- Names of files of simulated variables:
file name 1= SUFI2.OUT/FLOW_OUT_21.txt
------- Reading observation file observed_rch.txt -----
---- total number of variables= 1
**** Time_Array ***********
variable no. = 1
282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302
303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323
324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344
345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365
366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386
387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407
408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 484 485 486 487
488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508
509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529
530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550
551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571
572 573 574 575 576 577 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623
624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644
645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665
666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686
687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707
708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728
729 730 762 763 764 765 766 767 768 790 791 792 793 794 795 796 797 798 799 800 801
802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 839 840
841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861
862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882
883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903
904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924
925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945
946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966
967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987
988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008
1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029
1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050
1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071
1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092
1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113
1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134
1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155
1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176
1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197
1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218
1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239
1240 1241 1242 1243 1244 1245 1246 1247 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573
1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594
1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615
1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636
1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657
1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678
1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699
1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720
1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741
1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762
1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783
1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804
1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825
1826 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039
2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060
2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081
2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102
2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123
2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144
2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160
-------------------------------------
variable no: 1 ----------------------
variable= 1 pfile_no=0
time_step= 1 year= 1997 end= 365
Once again, thank you very much. I look forward to hearing from you.
Good day,
Listowel Abugri Anaba
Abbaspour, Karim
May 30, 2016, 5:41:46 AM5/30/16
to swat...@googlegroups.com
There could be many reasons! The graph you sent tells me the swat model you built is not yet ready for calibration. I recommend you read the paper
http://www.sciencedirect.com/science/article/pii/S1364815215300499
to get some ideas about pre calibration analysis that you can do to improve your base model.
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