#V3.30.14.00-safe;_2019_07_19;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_12.0 #Stock Synthesis (SS) is a work of the U.S. Government and is not subject to copyright protection in the United States. #Foreign copyrights may apply. See copyright.txt for more information. #_user_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_user_info_available_at:https://vlab.ncep.noaa.gov/group/stock-synthesis #_Start_time: Tue Nov 19 13:10:35 2019 #_Number_of_datafiles: 1 #_observed data: #V3.30.14.00-safe;_2019_07_19;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_12.0 #Stock Synthesis (SS) is a work of the U.S. Government and is not subject to copyright protection in the United States. #Foreign copyrights may apply. See copyright.txt for more information. 1948 #_StartYr 2018 #_EndYr 1 #_Nseas 12 #_months/season 2 #_Nsubseasons (even number, minimum is 2) 1 #_spawn_month 1 #_Ngenders: 1, 2, -1 (use -1 for 1 sex setup with SSB multiplied by female_frac parameter) 32 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 10 #_Nfleets (including surveys) #_fleet_type: 1=catch fleet; 2=bycatch only fleet; 3=survey; 4=ignore #_sample_timing: -1 for fishing fleet to use season-long catch-at-age for observations, or 1 to use observation month; (always 1 for surveys) #_fleet_area: area the fleet/survey operates in #_units of catch: 1=bio; 2=num (ignored for surveys; their units read later) #_catch_mult: 0=no; 1=yes #_rows are fleets #_fleet_type fishery_timing area catch_units need_catch_mult fleetname 1 -1 1 1 0 Catch_Com_DSH # 1 1 -1 1 1 0 Catch_Com_ISH # 2 1 -1 1 1 0 Catch_Com_Trol # 3 1 -1 1 1 0 Catch_Com_Other # 4 1 -1 1 1 0 Catch_Rec # 5 3 1 1 2 0 CPUE_DSH_old # 6 3 1 1 2 0 CPUE_DSH_recent # 7 3 1 1 2 0 CPUE_ISH_recent # 8 3 1 1 2 0 CPUE_Trol_recent # 9 3 1 1 2 0 OPUE_Divers # 10 #Bycatch_fleet_input_goes_next #a: fleet index #b: 1=include dead bycatch in total dead catch for F0.1 and MSY optimizations and forecast ABC; 2=omit from total catch for these purposes (but still include the mortality) #c: 1=Fmult scales with other fleets; 2=bycatch F constant at input value; 3=bycatch F from range of years #d: F or first year of range #e: last year of range #f: not used # a b c d e f #_Catch data: yr, seas, fleet, catch, catch_se #_catch_se: standard error of log(catch) #_NOTE: catch data is ignored for survey fleets -999 1 1 40.435 0.01 1948 1 1 40.435 0.01 1949 1 1 33.0006 0.01 1950 1 1 22.7537 0.01 1951 1 1 16.0597 0.01 1952 1 1 24.9616 0.01 1953 1 1 22.6264 0.01 1954 1 1 16.5525 0.01 1955 1 1 14.2641 0.01 1956 1 1 19.1996 0.01 1957 1 1 37.2853 0.01 1958 1 1 28.7952 0.01 1959 1 1 18.3749 0.01 1960 1 1 17.2392 0.01 1961 1 1 15.7945 0.01 1962 1 1 23.3733 0.01 1963 1 1 24.8405 0.01 1964 1 1 39.9751 0.01 1965 1 1 22.1587 0.01 1966 1 1 26.0893 0.01 1967 1 1 26.0194 0.01 1968 1 1 22.1049 0.01 1969 1 1 25.4733 0.01 1970 1 1 21.2521 0.01 1971 1 1 21.7656 0.01 1972 1 1 21.4653 0.01 1973 1 1 29.9969 0.01 1974 1 1 34.9243 0.01 1975 1 1 26.571 0.01 1976 1 1 23.6462 0.01 1977 1 1 24.9758 0.01 1978 1 1 28.0411 0.01 1979 1 1 36.0742 0.01 1980 1 1 31.8276 0.01 1981 1 1 36.6752 0.01 1982 1 1 43.9004 0.01 1983 1 1 56.3082 0.01 1984 1 1 61.5103 0.01 1985 1 1 21.6627 0.01 1986 1 1 36.7575 0.01 1987 1 1 21.3673 0.01 1988 1 1 145.184 0.01 1989 1 1 90.9028 0.01 1990 1 1 39.308 0.01 1991 1 1 32.0187 0.01 1992 1 1 31.2249 0.01 1993 1 1 27.7663 0.01 1994 1 1 26.2883 0.01 1995 1 1 23.7328 0.01 1996 1 1 18.6063 0.01 1997 1 1 21.6242 0.01 1998 1 1 20.0164 0.01 1999 1 1 33.9657 0.01 2000 1 1 30.5177 0.01 2001 1 1 17.4846 0.01 2002 1 1 19.2466 0.01 2003 1 1 14.3708 0.01 2004 1 1 26.1484 0.01 2005 1 1 20.2724 0.01 2006 1 1 17.4316 0.01 2007 1 1 20.6683 0.01 2008 1 1 28.6267 0.01 2009 1 1 30.2172 0.01 2010 1 1 37.755 0.01 2011 1 1 34.7678 0.01 2012 1 1 34.3514 0.01 2013 1 1 34.6026 0.01 2014 1 1 25.7575 0.01 2015 1 1 29.5213 0.01 2016 1 1 33.2859 0.01 2017 1 1 38.7549 0.01 2018 1 1 15.3899 0.01 -999 1 2 0 0 1948 1 2 4.32863 0.01 1949 1 2 3.41782 0.01 1950 1 2 2.83041 0.01 1951 1 2 3.43142 0.01 1952 1 2 3.8079 0.01 1953 1 2 9.22425 0.01 1954 1 2 10.0947 0.01 1955 1 2 12.3001 0.01 1956 1 2 12.1472 0.01 1957 1 2 5.92709 0.01 1958 1 2 3.55525 0.01 1959 1 2 1.90282 0.01 1960 1 2 2.34961 0.01 1961 1 2 2.86353 0.01 1962 1 2 3.43415 0.01 1963 1 2 3.10121 0.01 1964 1 2 0.476725 0.01 1965 1 2 0.237682 0.01 1966 1 2 0.0113398 0.01 1967 1 2 0.377842 0.01 1968 1 2 0.0326586 0.01 1969 1 2 0.0158757 0.01 1970 1 2 0.00725747 0.01 1971 1 2 0.00952543 0.01 1972 1 2 0.0163293 0.01 1973 1 2 0.0539774 0.01 1974 1 2 0.088904 0.01 1975 1 2 0.75387 0.01 1976 1 2 3.19828 0.01 1977 1 2 3.57657 0.01 1978 1 2 8.29484 0.01 1979 1 2 1.84703 0.01 1980 1 2 0.554289 0.01 1981 1 2 0.265805 0.01 1982 1 2 0.307535 0.01 1983 1 2 0.609174 0.01 1984 1 2 0.114305 0.01 1985 1 2 0.249022 0.01 1986 1 2 4.20026 0.01 1987 1 2 2.85128 0.01 1988 1 2 4.80853 0.01 1989 1 2 1.33855 0.01 1990 1 2 2.06702 0.01 1991 1 2 5.11153 0.01 1992 1 2 6.76306 0.01 1993 1 2 2.19357 0.01 1994 1 2 5.17775 0.01 1995 1 2 2.19357 0.01 1996 1 2 3.90633 0.01 1997 1 2 7.97188 0.01 1998 1 2 6.37251 0.01 1999 1 2 5.30703 0.01 2000 1 2 5.87311 0.01 2001 1 2 6.97126 0.01 2002 1 2 4.36097 0.01 2003 1 2 2.92762 0.01 2004 1 2 3.57027 0.01 2005 1 2 2.43955 0.01 2006 1 2 4.33339 0.01 2007 1 2 5.211 0.01 2008 1 2 5.88885 0.01 2009 1 2 4.84314 0.01 2010 1 2 7.83272 0.01 2011 1 2 8.29266 0.01 2012 1 2 8.97527 0.01 2013 1 2 8.60183 0.01 2014 1 2 5.51386 0.01 2015 1 2 5.71118 0.01 2016 1 2 5.22656 0.01 2017 1 2 7.7039 0.01 2018 1 2 7.73742 0.01 -999 1 3 0 0 1948 1 3 0.0385553 0.01 1949 1 3 0.238589 0.01 1950 1 3 0.00226796 0.01 1951 1 3 0.0172365 0.01 1952 1 3 0.0249476 0.01 1953 1 3 0 0.01 1954 1 3 0 0.01 1955 1 3 0.00861825 0.01 1956 1 3 0.00453592 0.01 1957 1 3 0.00453592 0.01 1958 1 3 0 0.01 1959 1 3 0 0.01 1960 1 3 0 0.01 1961 1 3 0 0.01 1962 1 3 0.0208652 0.01 1963 1 3 0.0181437 0.01 1964 1 3 0 0.01 1965 1 3 0 0.01 1966 1 3 0 0.01 1967 1 3 0.0358338 0.01 1968 1 3 0.0254012 0.01 1969 1 3 0.0054431 0.01 1970 1 3 0 0.01 1971 1 3 0.0154221 0.01 1972 1 3 0.119748 0.01 1973 1 3 0.100697 0.01 1974 1 3 0.160572 0.01 1975 1 3 0.518002 0.01 1976 1 3 0.623689 0.01 1977 1 3 0.820146 0.01 1978 1 3 0.15785 0.01 1979 1 3 0.420026 0.01 1980 1 3 0.685831 0.01 1981 1 3 0.301185 0.01 1982 1 3 0.612349 0.01 1983 1 3 1.3311 0.01 1984 1 3 0.507569 0.01 1985 1 3 0.119748 0.01 1986 1 3 0.682202 0.01 1987 1 3 0.66678 0.01 1988 1 3 2.639 0.01 1989 1 3 1.59029 0.01 1990 1 3 2.82603 0.01 1991 1 3 2.6426 0.01 1992 1 3 0.907615 0.01 1993 1 3 0.63639 0.01 1994 1 3 0.331122 0.01 1995 1 3 0.734819 0.01 1996 1 3 0.822362 0.01 1997 1 3 0.610988 0.01 1998 1 3 0.477179 0.01 1999 1 3 0.571526 0.01 2000 1 3 0.775642 0.01 2001 1 3 1.46601 0.01 2002 1 3 0.599694 0.01 2003 1 3 2.45584 0.01 2004 1 3 3.70907 0.01 2005 1 3 4.22975 0.01 2006 1 3 3.2323 0.01 2007 1 3 3.8075 0.01 2008 1 3 5.79958 0.01 2009 1 3 2.52038 0.01 2010 1 3 4.22176 0.01 2011 1 3 2.8833 0.01 2012 1 3 4.81905 0.01 2013 1 3 5.46243 0.01 2014 1 3 5.53201 0.01 2015 1 3 3.91563 0.01 2016 1 3 6.55749 0.01 2017 1 3 6.90812 0.01 2018 1 3 4.17722 0.01 -999 1 4 0 0 1948 1 4 1.27051 0.01 1949 1 4 1.01514 0.01 1950 1 4 0.646822 0.01 1951 1 4 0.921245 0.01 1952 1 4 0.617339 0.01 1953 1 4 0.996088 0.01 1954 1 4 1.44696 0.01 1955 1 4 7.9306 0.01 1956 1 4 0.745252 0.01 1957 1 4 0.528435 0.01 1958 1 4 0.542496 0.01 1959 1 4 0.605545 0.01 1960 1 4 1.01605 0.01 1961 1 4 0.483529 0.01 1962 1 4 2.0643 0.01 1963 1 4 0.87135 0.01 1964 1 4 0.307082 0.01 1965 1 4 0.227703 0.01 1966 1 4 0.139253 0.01 1967 1 4 0.127459 0.01 1968 1 4 0.370131 0.01 1969 1 4 0.605999 0.01 1970 1 4 0.249022 0.01 1971 1 4 0.303907 0.01 1972 1 4 0.205931 0.01 1973 1 4 0.182344 0.01 1974 1 4 0.188694 0.01 1975 1 4 0.296196 0.01 1976 1 4 0.729376 0.01 1977 1 4 1.63928 0.01 1978 1 4 1.72229 0.01 1979 1 4 1.17934 0.01 1980 1 4 0.825991 0.01 1981 1 4 1.35125 0.01 1982 1 4 0.960254 0.01 1983 1 4 1.8629 0.01 1984 1 4 0.873165 0.01 1985 1 4 0.326586 0.01 1986 1 4 5.56104 0.01 1987 1 4 0.86001 0.01 1988 1 4 3.62284 0.01 1989 1 4 0.692635 0.01 1990 1 4 0.990645 0.01 1991 1 4 1.24012 0.01 1992 1 4 0.968873 0.01 1993 1 4 1.11765 0.01 1994 1 4 0.782446 0.01 1995 1 4 0.612349 0.01 1996 1 4 0.844135 0.01 1997 1 4 0.625957 0.01 1998 1 4 0.850485 0.01 1999 1 4 0.904009 0.01 2000 1 4 0.636163 0.01 2001 1 4 0.59103 0.01 2002 1 4 1.38214 0.01 2003 1 4 1.06295 0.01 2004 1 4 1.51876 0.01 2005 1 4 1.8908 0.01 2006 1 4 2.02987 0.01 2007 1 4 1.66795 0.01 2008 1 4 1.65824 0.01 2009 1 4 2.32933 0.01 2010 1 4 4.96824 0.01 2011 1 4 3.63649 0.01 2012 1 4 4.81751 0.01 2013 1 4 6.28275 0.01 2014 1 4 7.1101 0.01 2015 1 4 7.09754 0.01 2016 1 4 8.98702 0.01 2017 1 4 6.43529 0.01 2018 1 4 6.53993 0.01 -999 1 5 0 0 1948 1 5 23.9756 0.4 1949 1 5 22.7824 0.4 1950 1 5 23.1084 0.4 1951 1 5 24.1796 0.4 1952 1 5 24.2835 0.4 1953 1 5 24.1828 0.4 1954 1 5 23.9985 0.4 1955 1 5 25.7476 0.4 1956 1 5 26.2241 0.4 1957 1 5 27.1816 0.4 1958 1 5 28.491 0.4 1959 1 5 28.7189 0.4 1960 1 5 30.637 0.4 1961 1 5 30.7058 0.4 1962 1 5 31.876 0.4 1963 1 5 32.4563 0.4 1964 1 5 33.4126 0.4 1965 1 5 32.6148 0.4 1966 1 5 32.9502 0.4 1967 1 5 34.2101 0.4 1968 1 5 34.4379 0.4 1969 1 5 34.7523 0.4 1970 1 5 35.5786 0.4 1971 1 5 37.9713 0.4 1972 1 5 38.0327 0.4 1973 1 5 39.2451 0.4 1974 1 5 41.6854 0.4 1975 1 5 41.2931 0.4 1976 1 5 42.4434 0.4 1977 1 5 43.6028 0.4 1978 1 5 44.2231 0.4 1979 1 5 44.7742 0.4 1980 1 5 45.7284 0.4 1981 1 5 46.0802 0.4 1982 1 5 46.8363 0.4 1983 1 5 48.2841 0.4 1984 1 5 48.5447 0.4 1985 1 5 49.6815 0.4 1986 1 5 49.8919 0.4 1987 1 5 50.0074 0.4 1988 1 5 49.658 0.4 1989 1 5 52.313 0.4 1990 1 5 53.642 0.4 1991 1 5 52.7436 0.4 1992 1 5 54.834 0.4 1993 1 5 53.8766 0.4 1994 1 5 56.019 0.4 1995 1 5 55.0432 0.4 1996 1 5 55.9202 0.4 1997 1 5 56.5088 0.4 1998 1 5 56.4516 0.4 1999 1 5 56.2554 0.4 2000 1 5 56.3013 0.4 2001 1 5 57.1009 0.4 2002 1 5 59.6569 0.4 2003 1 5 50.1834 0.4 2004 1 5 65.8154 0.4 2005 1 5 84.8154 0.4 2006 1 5 48.7159 0.4 2007 1 5 30.0222 0.4 2008 1 5 19.8245 0.4 2009 1 5 25.1327 0.4 2010 1 5 45.2371 0.4 2011 1 5 58.5886 0.4 2012 1 5 93.7643 0.4 2013 1 5 26.8594 0.4 2014 1 5 47.9259 0.4 2015 1 5 32.6812 0.4 2016 1 5 26.8172 0.4 2017 1 5 58.6 0.4 2018 1 5 90.6757 0.4 -9999 0 0 0 0 # #_CPUE_and_surveyabundance_observations #_Units: 0=numbers; 1=biomass; 2=F; >=30 for special types #_Errtype: -1=normal; 0=lognormal; >0=T #_SD_Report: 0=no sdreport; 1=enable sdreport #_Fleet Units Errtype SD_Report 1 1 0 0 # Catch_Com_DSH 2 1 0 0 # Catch_Com_ISH 3 1 0 0 # Catch_Com_Trol 4 1 0 0 # Catch_Com_Other 5 1 0 0 # Catch_Rec 6 1 0 0 # CPUE_DSH_old 7 1 0 0 # CPUE_DSH_recent 8 1 0 0 # CPUE_ISH_recent 9 1 0 0 # CPUE_Trol_recent 10 0 0 0 # OPUE_Divers #_yr month fleet obs stderr 1948 1 6 9.70986 0.0728179 #_ CPUE_DSH_old 1949 1 6 9.8855 0.0717295 #_ CPUE_DSH_old 1950 1 6 9.41952 0.0837269 #_ CPUE_DSH_old 1951 1 6 9.19242 0.0909342 #_ CPUE_DSH_old 1952 1 6 9.94967 0.0926912 #_ CPUE_DSH_old 1953 1 6 12.1046 0.0980827 #_ CPUE_DSH_old 1954 1 6 11.4499 0.105085 #_ CPUE_DSH_old 1955 1 6 10.8335 0.108887 #_ CPUE_DSH_old 1956 1 6 9.92066 0.115908 #_ CPUE_DSH_old 1957 1 6 11.4339 0.112856 #_ CPUE_DSH_old 1958 1 6 12.8934 0.0952386 #_ CPUE_DSH_old 1959 1 6 7.82549 0.101129 #_ CPUE_DSH_old 1960 1 6 7.59653 0.0990646 #_ CPUE_DSH_old 1961 1 6 7.56702 0.10493 #_ CPUE_DSH_old 1962 1 6 8.63575 0.10267 #_ CPUE_DSH_old 1963 1 6 9.37861 0.0903096 #_ CPUE_DSH_old 1964 1 6 9.09718 0.0882063 #_ CPUE_DSH_old 1965 1 6 8.41464 0.0873573 #_ CPUE_DSH_old 1966 1 6 8.42207 0.080196 #_ CPUE_DSH_old 1967 1 6 7.25381 0.0851254 #_ CPUE_DSH_old 1968 1 6 8.35612 0.0834404 #_ CPUE_DSH_old 1969 1 6 7.98772 0.0822606 #_ CPUE_DSH_old 1970 1 6 7.95117 0.0856328 #_ CPUE_DSH_old 1971 1 6 7.86733 0.0863617 #_ CPUE_DSH_old 1972 1 6 9.21391 0.0815749 #_ CPUE_DSH_old 1973 1 6 9.9681 0.0798804 #_ CPUE_DSH_old 1974 1 6 11.0518 0.0768397 #_ CPUE_DSH_old 1975 1 6 10.3561 0.0902145 #_ CPUE_DSH_old 1976 1 6 10.6352 0.0902145 #_ CPUE_DSH_old 1977 1 6 7.64817 0.0851556 #_ CPUE_DSH_old 1978 1 6 11.7748 0.0803118 #_ CPUE_DSH_old 1979 1 6 10.587 0.0742985 #_ CPUE_DSH_old 1980 1 6 8.94673 0.0750932 #_ CPUE_DSH_old 1981 1 6 8.44584 0.0741459 #_ CPUE_DSH_old 1982 1 6 7.88732 0.0720467 #_ CPUE_DSH_old 1983 1 6 7.94287 0.0736777 #_ CPUE_DSH_old 1984 1 6 7.10474 0.0717773 #_ CPUE_DSH_old 1985 1 6 6.31139 0.077745 #_ CPUE_DSH_old 1986 1 6 7.97605 0.0758815 #_ CPUE_DSH_old 1987 1 6 6.92525 0.0790546 #_ CPUE_DSH_old 1988 1 6 11.689 0.0750502 #_ CPUE_DSH_old 1989 1 6 8.34298 0.0760779 #_ CPUE_DSH_old 1990 1 6 6.51974 0.0752258 #_ CPUE_DSH_old 1991 1 6 6.60517 0.077133 #_ CPUE_DSH_old 1992 1 6 7.0099 0.0756029 #_ CPUE_DSH_old 1993 1 6 7.20052 0.0824953 #_ CPUE_DSH_old 1994 1 6 6.52781 0.0769589 #_ CPUE_DSH_old 1995 1 6 6.19268 0.0771719 #_ CPUE_DSH_old 1996 1 6 6.05846 0.0786586 #_ CPUE_DSH_old 1997 1 6 6.7272 0.0758136 #_ CPUE_DSH_old 1998 1 6 6.06576 0.0816394 #_ CPUE_DSH_old 1999 1 6 7.37952 0.0800104 #_ CPUE_DSH_old 2000 1 6 7.23002 0.0787775 #_ CPUE_DSH_old 2001 1 6 7.06838 0.0822699 #_ CPUE_DSH_old 2002 1 6 6.06945 0.0837817 #_ CPUE_DSH_old 2003 1 7 0.965988 0.062405 #_ CPUE_DSH_recent 2004 1 7 1.23881 0.0623438 #_ CPUE_DSH_recent 2005 1 7 1.21844 0.0636868 #_ CPUE_DSH_recent 2006 1 7 1.19129 0.0635711 #_ CPUE_DSH_recent 2007 1 7 1.43176 0.0611636 #_ CPUE_DSH_recent 2008 1 7 1.40409 0.0597431 #_ CPUE_DSH_recent 2009 1 7 1.07658 0.0607572 #_ CPUE_DSH_recent 2010 1 7 1.56016 0.058253 #_ CPUE_DSH_recent 2011 1 7 1.44541 0.0610842 #_ CPUE_DSH_recent 2012 1 7 1.32365 0.0651515 #_ CPUE_DSH_recent 2013 1 7 1.6026 0.0635001 #_ CPUE_DSH_recent 2014 1 7 1.47541 0.0658055 #_ CPUE_DSH_recent 2015 1 7 1.90353 0.065678 #_ CPUE_DSH_recent 2016 1 7 1.84747 0.0656491 #_ CPUE_DSH_recent 2017 1 7 2.02475 0.0721395 #_ CPUE_DSH_recent 2018 1 7 1.77298 0.0921179 #_ CPUE_DSH_recent 2003 1 8 0.438133 0.120047 #_ CPUE_ISH_recent 2004 1 8 0.713154 0.11035 #_ CPUE_ISH_recent 2005 1 8 0.709607 0.123824 #_ CPUE_ISH_recent 2006 1 8 0.924292 0.126769 #_ CPUE_ISH_recent 2007 1 8 1.00907 0.115668 #_ CPUE_ISH_recent 2008 1 8 0.816759 0.108695 #_ CPUE_ISH_recent 2009 1 8 0.609215 0.11903 #_ CPUE_ISH_recent 2010 1 8 0.867265 0.115113 #_ CPUE_ISH_recent 2011 1 8 0.978816 0.116995 #_ CPUE_ISH_recent 2012 1 8 1.03463 0.106293 #_ CPUE_ISH_recent 2013 1 8 1.03704 0.116032 #_ CPUE_ISH_recent 2014 1 8 1.12201 0.117271 #_ CPUE_ISH_recent 2015 1 8 1.33195 0.119134 #_ CPUE_ISH_recent 2016 1 8 1.45436 0.122662 #_ CPUE_ISH_recent 2017 1 8 2.05573 0.145052 #_ CPUE_ISH_recent 2018 1 8 2.38282 0.131901 #_ CPUE_ISH_recent 2003 1 9 0.0134371 0.171936 #_ CPUE_Trol_recent 2004 1 9 0.0150499 0.167151 #_ CPUE_Trol_recent 2005 1 9 0.0174533 0.162557 #_ CPUE_Trol_recent 2006 1 9 0.0123967 0.171862 #_ CPUE_Trol_recent 2007 1 9 0.0168225 0.159107 #_ CPUE_Trol_recent 2008 1 9 0.0198088 0.155334 #_ CPUE_Trol_recent 2009 1 9 0.0161732 0.167556 #_ CPUE_Trol_recent 2010 1 9 0.0322075 0.16552 #_ CPUE_Trol_recent 2011 1 9 0.0249329 0.164154 #_ CPUE_Trol_recent 2012 1 9 0.0258163 0.152646 #_ CPUE_Trol_recent 2013 1 9 0.0441628 0.147513 #_ CPUE_Trol_recent 2014 1 9 0.0392531 0.149296 #_ CPUE_Trol_recent 2015 1 9 0.0330544 0.164674 #_ CPUE_Trol_recent 2016 1 9 0.0325651 0.165109 #_ CPUE_Trol_recent 2017 1 9 0.0393907 0.189064 #_ CPUE_Trol_recent 2018 1 9 0.0199401 0.222258 #_ CPUE_Trol_recent 2005 1 10 0.0206172 0.355365 #_ OPUE_Divers 2008 1 10 0.0687499 0.267536 #_ OPUE_Divers 2010 1 10 0.0319258 0.216642 #_ OPUE_Divers 2012 1 10 0.0340292 0.177277 #_ OPUE_Divers 2015 1 10 0.0272586 0.178655 #_ OPUE_Divers 2016 1 10 0.0309246 0.265046 #_ OPUE_Divers -9999 1 1 1 1 # terminator for survey observations # 0 #_N_fleets_with_discard #_discard_units (1=same_as_catchunits(bio/num); 2=fraction; 3=numbers) #_discard_errtype: >0 for DF of T-dist(read CV below); 0 for normal with CV; -1 for normal with se; -2 for lognormal; -3 for trunc normal with CV # note, only have units and errtype for fleets with discard #_Fleet units errtype # -9999 0 0 0.0 0.0 # terminator for discard data # 0 #_use meanbodysize_data (0/1) #_COND_0 #_DF_for_meanbodysize_T-distribution_like # note: type=1 for mean length; type=2 for mean body weight #_yr month fleet part type obs stderr # -9999 0 0 0 0 0 0 # terminator for mean body size data # # set up population length bin structure (note - irrelevant if not using size data and using empirical wtatage 2 # length bin method: 1=use databins; 2=generate from binwidth,min,max below; 3=read vector 1 # binwidth for population size comp 1 # minimum size in the population (lower edge of first bin and size at age 0.00) 113 # maximum size in the population (lower edge of last bin) 0 # use length composition data (0/1) # see manual for format of length composition data # 0 #_N_age_bins # 0 #_N_ageerror_definitions #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins #_males and females treated as combined gender below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet #_Comp_Error2: parm number for dirichlet #_minsamplesize: minimum sample size; set to 1 to match 3.24, minimum value is 0.001 #_mintailcomp addtocomp combM+F CompressBins CompError ParmSelect minsamplesize # 0 0 0 20447472 0 0 0 #_fleet:1_Catch_Com_DSH # 0 0 0 0 0 0 0 #_fleet:2_Catch_Com_ISH # 0 0 0 20447472 0 0 0 #_fleet:3_Catch_Com_Trol # 0 0 0 0 0 0 0 #_fleet:4_Catch_Com_Other # 0 0 0 53411936 0 0 0 #_fleet:5_Catch_Rec # 0 0 0 0 0 0 0 #_fleet:6_CPUE_DSH_old # 0 0 0 53411936 0 0 0 #_fleet:7_CPUE_DSH_recent # 0 0 0 0 0 0 0 #_fleet:8_CPUE_ISH_recent # 0 0 0 60698624 0 0 0 #_fleet:9_CPUE_Trol_recent # 0 0 0 0 0 0 0 #_fleet:10_OPUE_Divers # 0 #_Lbin_method_for_Age_Data: 1=poplenbins; 2=datalenbins; 3=lengths # sex codes: 0=combined; 1=use female only; 2=use male only; 3=use both as joint sexxlength distribution # partition codes: (0=combined; 1=discard; 2=retained #_yr month fleet sex part ageerr Lbin_lo Lbin_hi Nsamp datavector(female-male) # -9999 0 0 0 0 0 0 0 0 # 0 #_Use_MeanSize-at-Age_obs (0/1) # 0 #_N_environ_variables #Yr Variable Value # 1 # N sizefreq methods to read 32 #Sizefreq N bins per method 2 #Sizetfreq units(1=bio/2=num) per method 1 #Sizefreq scale(1=kg/2=lbs/3=cm/4=inches) per method 1e-009 #Sizefreq: add small constant to comps, per method 71 #Sizefreq N obs per method #_Sizefreq bins Note: negative value for first bin makes it accumulate all smaller fish vs. truncate small fish 0.453592 0.907184 1.36078 1.81437 2.26796 2.72155 3.17514 3.62874 4.08233 4.53592 4.98951 5.4431 5.8967 6.35029 6.80388 7.25747 7.71106 8.16466 8.61825 9.07184 9.52543 9.97902 10.4326 10.8862 11.3398 11.7934 12.247 12.7006 13.1542 13.6078 14.0614 14.5149 #_method year month fleet gender partition SampleSize 1 1948 1 1 0 2 46 0 3 10 16 11 20 15 8 17 6 11 8 8 3 4 5 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 1949 1 1 0 2 38 1 3 3 12 15 17 7 15 8 9 14 4 2 4 6 3 0 0 1 2 1 0 0 0 0 0 0 0 0 0 0 0 1 1950 1 1 0 2 42 0 4 5 8 12 16 20 21 15 19 9 8 2 9 2 1 0 1 0 1 1 0 0 1 0 1 0 0 0 1 0 0 1 1951 1 1 0 2 21 0 1 1 4 9 4 6 8 4 9 4 1 6 4 3 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1952 1 1 0 2 28 0 1 3 6 5 7 10 12 17 10 7 8 3 6 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1953 1 1 0 2 16 0 1 2 2 5 5 4 5 2 5 3 6 5 1 5 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1954 1 1 0 2 23 0 0 3 4 8 7 11 12 6 12 11 5 8 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1955 1 1 0 2 14 0 0 3 2 3 1 3 6 1 4 4 5 3 1 2 1 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1956 1 1 0 2 12 0 0 0 1 5 2 4 3 7 12 1 1 1 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1957 1 1 0 2 21 0 0 0 0 1 7 2 11 7 9 5 6 6 4 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1958 1 1 0 2 25 0 1 2 4 2 5 4 11 6 7 9 4 5 3 5 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1959 1 1 0 2 20 0 0 1 8 4 5 1 8 3 4 4 7 5 3 4 3 1 3 1 2 0 1 0 0 0 0 0 0 0 0 0 0 1 1960 1 1 0 2 17 0 0 1 1 3 5 3 5 2 10 4 5 2 5 2 1 4 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 1961 1 1 0 2 14 0 1 2 3 4 5 2 8 4 4 0 8 6 7 6 0 0 0 1 0 0 2 1 0 0 1 0 0 0 0 0 0 1 1962 1 1 0 2 13 0 0 2 1 2 7 1 1 1 7 4 6 3 4 4 5 1 0 1 2 0 0 0 0 1 1 0 0 0 0 0 1 1 1963 1 1 0 2 34 0 0 4 10 3 6 7 10 5 8 10 6 7 4 7 6 4 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1964 1 1 0 2 36 0 2 1 9 8 11 3 14 7 17 11 8 5 3 6 5 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1965 1 1 0 2 23 0 3 3 7 8 3 6 6 7 20 5 6 5 9 1 5 1 2 1 1 0 1 0 0 0 1 0 0 0 0 0 0 1 1966 1 1 0 2 30 1 8 1 16 6 9 7 8 10 9 5 8 3 9 5 2 1 3 2 0 0 1 1 1 1 0 0 0 1 0 0 0 1 1967 1 1 0 2 36 0 3 7 12 8 7 2 22 10 19 9 4 6 6 2 1 3 2 1 1 1 2 0 0 0 0 0 0 0 0 0 0 1 1968 1 1 0 2 35 1 3 2 10 7 11 11 14 6 11 3 2 7 3 7 3 2 6 1 3 1 1 1 0 3 0 0 0 0 0 0 0 1 1969 1 1 0 2 39 2 4 6 14 7 9 9 19 9 15 6 9 4 4 5 2 6 1 0 0 0 1 0 0 0 0 2 0 0 0 1 0 1 1970 1 1 0 2 28 0 4 4 10 7 9 7 7 7 9 6 7 5 2 7 3 0 4 0 1 1 0 1 0 2 0 0 1 0 0 0 1 1 1971 1 1 0 2 37 3 5 4 17 11 15 10 19 5 12 9 10 3 2 5 0 1 2 4 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1972 1 1 0 2 47 3 11 7 18 6 25 15 10 3 17 10 14 6 10 7 2 1 4 0 1 0 2 2 1 0 0 0 1 1 0 0 0 1 1973 1 1 0 2 49 1 9 11 20 16 23 11 16 4 14 10 6 3 5 4 2 3 4 1 2 1 0 0 0 2 0 0 0 0 0 1 0 1 1974 1 1 0 2 53 0 3 9 16 21 23 20 16 16 20 9 11 3 6 6 5 2 1 0 2 1 1 0 1 0 1 0 0 0 0 0 0 1 1975 1 1 0 2 57 2 1 3 16 22 26 18 24 13 23 5 10 5 3 6 3 1 3 2 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1976 1 1 0 2 62 5 3 12 17 22 25 22 15 12 28 19 11 7 4 4 2 1 3 2 2 1 1 0 0 0 0 0 0 1 1 0 0 1 1977 1 1 0 2 66 5 11 12 26 19 24 30 22 11 24 11 12 14 7 6 6 3 2 1 2 1 1 1 0 1 0 0 0 0 1 0 0 1 1978 1 1 0 2 46 2 6 4 11 23 22 17 9 13 10 8 6 2 3 8 4 0 3 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1979 1 1 0 2 69 3 5 14 20 31 18 38 28 19 15 11 15 5 5 8 5 4 2 1 3 0 0 0 0 0 1 0 0 0 0 0 0 1 1980 1 1 0 2 115 3 10 21 30 29 31 30 30 29 33 16 17 15 10 8 11 7 10 5 6 3 1 2 0 0 2 0 0 1 1 0 0 1 1981 1 1 0 2 160 4 9 28 27 52 45 44 46 32 44 23 27 17 17 11 10 6 4 3 7 1 3 2 1 0 1 2 0 0 0 0 0 1 1982 1 1 0 2 170 8 19 30 39 44 59 44 59 49 37 28 45 24 17 23 10 11 7 7 1 4 0 4 3 0 1 1 0 0 0 1 0 1 1983 1 1 0 2 210 2 15 25 55 50 79 46 62 50 72 35 33 23 26 15 15 8 13 6 9 3 5 2 1 3 2 1 0 1 1 0 1 1 1984 1 1 0 2 199 11 57 29 53 54 78 48 48 40 64 40 36 29 41 24 13 11 12 5 7 3 2 0 1 0 1 0 1 0 6 1 0 1 1985 1 1 0 2 114 5 22 11 32 22 33 17 47 14 29 13 15 17 19 12 6 4 6 4 0 0 0 0 1 1 0 0 1 0 1 0 0 1 1986 1 1 0 2 84 3 16 15 15 19 35 29 23 21 30 14 22 14 11 13 10 4 6 1 2 4 2 2 1 0 0 1 0 0 0 0 0 1 1987 1 1 0 2 91 1 3 6 15 30 52 39 42 32 23 22 20 16 7 11 6 7 1 0 6 0 3 1 1 0 0 0 0 0 0 0 0 1 1988 1 1 0 2 217 2 8 29 47 78 93 80 86 60 74 47 41 32 32 28 27 11 19 6 10 3 10 7 2 1 1 1 2 0 0 1 0 1 1989 1 1 0 2 218 6 18 22 36 68 71 66 76 66 67 51 40 39 39 28 10 10 6 14 5 3 4 3 2 3 0 4 1 0 1 1 0 1 1990 1 1 0 2 140 3 19 40 41 54 32 49 39 24 31 24 24 20 19 20 14 6 5 3 3 1 0 1 2 0 1 1 0 0 0 0 0 1 1991 1 1 0 2 110 0 1 13 34 40 46 33 35 31 25 16 19 18 11 7 5 7 3 1 4 1 2 1 0 0 1 1 1 0 0 1 0 1 1992 1 1 0 2 107 4 9 7 21 46 32 37 43 29 35 17 22 18 10 13 4 5 1 1 7 0 1 0 1 2 0 0 0 0 0 0 0 1 1993 1 1 0 2 104 0 1 18 23 27 30 42 26 34 34 14 21 13 14 11 4 2 3 2 3 0 1 0 0 0 1 0 0 0 0 1 0 1 1994 1 1 0 2 105 1 5 12 16 41 32 41 42 33 32 24 39 17 13 18 4 1 4 1 0 0 0 0 0 1 0 1 0 1 0 1 0 1 1995 1 1 0 2 91 2 1 5 21 41 35 34 35 36 43 32 23 15 12 8 6 2 6 1 3 1 1 1 0 0 0 0 0 0 0 1 0 1 1996 1 1 0 2 84 0 2 5 12 23 37 31 36 24 30 20 15 9 9 9 7 5 1 3 0 2 0 2 1 0 0 0 0 0 0 0 0 1 1997 1 1 0 2 117 3 10 11 28 37 36 42 29 24 37 32 19 16 16 8 6 5 1 1 0 1 1 0 0 0 0 0 0 0 1 0 0 1 1998 1 1 0 2 111 1 7 12 27 39 47 29 30 18 39 18 18 13 16 5 8 2 0 2 2 0 1 1 2 0 0 2 0 0 0 0 0 1 1999 1 1 0 2 90 3 3 6 20 33 27 35 29 32 28 22 22 12 11 13 9 2 2 3 4 3 0 0 0 0 0 0 0 0 0 0 0 1 2000 1 1 0 2 103 1 1 7 28 40 37 32 43 41 27 27 26 23 8 21 4 4 3 2 2 1 3 1 1 1 0 0 0 0 1 0 0 1 2001 1 1 0 2 84 0 0 4 12 31 36 37 35 22 19 19 13 16 10 14 4 4 2 2 1 1 1 0 0 1 0 1 0 0 0 0 0 1 2002 1 1 0 2 69 0 0 5 14 33 24 25 26 17 31 15 14 10 7 8 3 1 1 0 3 0 3 0 0 2 0 0 0 0 0 0 0 1 2003 1 1 0 2 72 0 1 2 11 18 37 27 28 20 21 15 10 9 7 5 3 3 3 2 1 0 0 1 0 1 0 0 0 1 0 0 0 1 2004 1 1 0 2 70 3 3 5 16 23 18 21 24 17 25 24 7 6 5 3 5 2 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 1 2005 1 1 0 2 66 1 2 14 23 16 15 18 34 14 22 10 13 9 3 10 4 1 6 0 3 1 0 0 0 0 1 0 0 0 0 0 0 1 2006 1 1 0 2 71 2 0 10 26 29 21 23 30 18 22 8 10 11 5 12 2 3 1 2 1 0 0 0 0 1 0 0 0 0 0 0 0 1 2007 1 1 0 2 57 1 0 3 12 25 26 28 22 11 20 16 10 2 2 6 3 5 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 2008 1 1 0 2 63 0 2 10 8 29 34 29 21 8 14 8 13 7 3 6 4 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 2009 1 1 0 2 74 0 0 5 13 17 29 21 31 17 32 11 16 7 9 3 7 1 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 2010 1 1 0 2 80 0 5 6 15 12 13 21 29 20 22 15 10 8 6 10 4 4 2 0 4 1 0 0 1 0 0 0 2 0 0 0 0 1 2011 1 1 0 2 73 0 2 5 12 13 18 19 35 15 24 9 20 8 7 5 6 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2012 1 1 0 2 74 1 2 8 12 16 21 22 19 17 24 11 16 6 8 8 4 1 0 4 4 1 1 0 0 1 0 0 0 0 0 0 0 1 2013 1 1 0 2 68 0 2 5 12 18 16 22 12 13 26 12 19 6 12 13 3 1 6 1 2 0 1 0 0 0 0 1 0 0 0 0 0 1 2014 1 1 0 2 67 3 0 1 18 17 20 21 26 10 12 11 11 6 9 10 4 3 4 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2015 1 1 0 2 63 1 6 5 10 20 23 18 18 25 14 10 11 16 6 5 2 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2016 1 1 0 2 75 4 4 8 24 37 26 20 30 22 23 12 9 6 7 7 2 2 0 1 2 1 0 0 0 0 0 0 0 0 0 0 0 1 2017 1 1 0 2 82 0 1 6 19 26 29 20 29 15 24 12 13 12 3 8 2 5 3 2 4 1 0 0 0 0 1 0 0 0 0 0 0 1 2018 1 1 0 2 49 0 1 6 7 14 20 15 16 12 16 6 7 7 5 6 3 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 # 0 # do tags (0/1) # 0 # morphcomp data(0/1) # Nobs, Nmorphs, mincomp # yr, seas, type, partition, Nsamp, datavector_by_Nmorphs # 0 # Do dataread for selectivity priors(0/1) # Yr, Seas, Fleet, Age/Size, Bin, selex_prior, prior_sd # feature not yet implemented # 999 ENDDATA