# V3.30.13-safe;_2019_03_09;_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: Fri Mar 15 10:18:43 2019 # _Number_of_datafiles: 1 # Fleet 1 is com_domestic, Fleet 2 is com_foreign, Fleet 3 is spring_survey and fleet 4 is fall_survey # Data taken from the 2019 Groundfish Operational Assessment and SAW 54 # ------------------------------------------ MODEL PRELIMINARIES 1935 #_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) 10 #_Nages=accumulator age, first age is always age 0 1 #_Nareas 4 #_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 com_domestic # 1 1 -1 1 1 0 com_foreign # 2 3 1 1 2 0 spring_trawl # 3 3 1 1 2 0 fall_trawl # 4 #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 #_Catch data: yr, seas, fleet, catch, catch_se #_catch_se: standard error of log(catch) #_NOTE: catch data is ignored for survey fleets # Year Season Fleet Catch SE -999 1 1 3000 0.3 # assume this stock was historically heavily fished. 1935 1 1 6000 0.01 1936 1 1 6800 0.01 1937 1 1 7600 0.01 1938 1 1 7700 0.01 1939 1 1 9500 0.01 1940 1 1 14200 0.01 1941 1 1 19300 0.01 1942 1 1 28400 0.01 1943 1 1 18000 0.01 1944 1 1 10600 0.01 1945 1 1 10400 0.01 1946 1 1 10800 0.01 1947 1 1 12100 0.01 1948 1 1 9900 0.01 1949 1 1 4900 0.01 1950 1 1 4900 0.01 1951 1 1 2900 0.01 1952 1 1 3200 0.01 1953 1 1 2300 0.01 1954 1 1 1700 0.01 1955 1 1 2500 0.01 1956 1 1 4100 0.01 1957 1 1 6200 0.01 1958 1 1 9500 0.01 1959 1 1 8200 0.01 1960 1 1 8800 0.01 1961 1 1 13000 0.01 1962 1 1 13500 0.01 1963 1 1 22600 0.01 1964 1 1 21809 0.01 1965 1 1 22517 0.01 1966 1 1 22540 0.01 1967 1 1 25140 0.01 1968 1 1 25372 0.01 1969 1 1 23686 0.01 1970 1 1 21350 0.01 1971 1 1 15867 0.01 1972 1 1 17574 0.01 1973 1 1 12441 0.01 1974 1 1 8284 0.01 1975 1 1 3833 0.01 1976 1 1 1853 0.01 1977 1 1 3335 0.01 1978 1 1 3059 0.01 1979 1 1 5452 0.01 1980 1 1 6300 0.01 1981 1 1 5400 0.01 1982 1 1 10726 0.01 1983 1 1 18500 0.01 1984 1 1 10100 0.01 1985 1 1 3600 0.01 1986 1 1 3548 0.01 1987 1 1 1771 0.01 1988 1 1 994 0.01 1989 1 1 2897 0.01 1990 1 1 8236 0.01 1991 1 1 4113 0.01 1992 1 1 1640 0.01 1993 1 1 674 0.01 1994 1 1 367 0.01 1995 1 1 200 0.01 1996 1 1 477 0.01 1997 1 1 849 0.01 1998 1 1 690 0.01 1999 1 1 1307 0.01 2000 1 1 1122 0.01 2001 1 1 1295 0.01 2002 1 1 792 0.01 2003 1 1 496 0.01 2004 1 1 489 0.01 2005 1 1 242 0.01 2006 1 1 209 0.01 2007 1 1 205 0.01 2008 1 1 192 0.01 2009 1 1 185 0.01 2010 1 1 113 0.01 2011 1 1 243 0.01 2012 1 1 324 0.01 # updated with Table 7 from 2019 update assessment 2013 1 1 461 0.01 2014 1 1 516 0.01 2015 1 1 284 0.01 2016 1 1 126 0.01 2017 1 1 48 0.01 2018 1 1 11 0.01 -999 1 2 0 0.01 # no equil catch for foreign 1935 1 2 0 0.01 1936 1 2 0 0.01 1937 1 2 0 0.01 1938 1 2 0 0.01 1939 1 2 0 0.01 1940 1 2 0 0.01 1941 1 2 0 0.01 1942 1 2 0 0.01 1943 1 2 0 0.01 1944 1 2 0 0.01 1945 1 2 0 0.01 1946 1 2 0 0.01 1947 1 2 0 0.01 1948 1 2 0 0.01 1949 1 2 0 0.01 1950 1 2 0 0.01 1951 1 2 0 0.01 1952 1 2 0 0.01 1953 1 2 0 0.01 1954 1 2 0 0.01 1955 1 2 0 0.01 1956 1 2 0 0.01 1957 1 2 0 0.01 1958 1 2 0 0.01 1959 1 2 0 0.01 1960 1 2 0 0.01 1961 1 2 0 0.01 1962 1 2 0 0.01 1963 1 2 200 0.01 1964 1 2 800 0.01 # inputed as avg. 1963 and 1965 1965 1 2 1400 0.01 1966 1 2 700 0.01 1967 1 2 2800 0.01 1968 1 2 3500 0.01 1969 1 2 18283 0.01 1970 1 2 2618 0.01 1971 1 2 1261 0.01 1972 1 2 3117 0.01 1973 1 2 397 0.01 1974 1 2 116 0.01 1975 1 2 3 0.01 -9999 0 0 0 0 # # ------------------------------------------------ CPUE # #_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 0 0 0 # com_usa no CPUE but must have parm line here 2 0 0 0 # com_foreign 3 1 0 0 # spring_trawl 4 1 0 0 # fall_trawl #_Year Month Fleet Obs CV 1968 3 3 102.7 0.16 1969 3 3 81.8 0.13 1970 3 3 61.98 0.15 1971 3 3 50.03 0.13 1972 3 3 51.63 0.17 1973 3 3 27.52 0.12 1974 3 3 10.96 0.22 1975 3 3 2.9 0.19 1976 3 3 3.56 0.21 1977 3 3 4.17 0.29 1978 3 3 11.21 0.18 1979 3 3 3.52 0.22 1980 3 3 8.84 0.13 1981 3 3 16.16 0.19 1982 3 3 26.04 0.19 1983 3 3 18.22 0.15 1984 3 3 5.02 0.18 1985 3 3 3.63 0.26 1986 3 3 4.2 0.13 1987 3 3 0.95 0.24 1988 3 3 1.22 0.26 1989 3 3 10.22 0.18 1990 3 3 15.47 0.21 1991 3 3 6.89 0.14 1992 3 3 2.24 0.2 1993 3 3 0.89 0.23 1994 3 3 0.32 0.29 1995 3 3 1.43 0.2 1996 3 3 2.34 0.25 1997 3 3 2.48 0.35 1998 3 3 3.69 0.23 1999 3 3 3.06 0.13 2000 3 3 2.87 0.18 2001 3 3 1.57 0.24 2002 3 3 1.74 0.37 2003 3 3 0.45 0.36 2004 3 3 0.6 0.36 2005 3 3 0.68 0.25 2006 3 3 2 0.38 2007 3 3 1.45 0.2 2008 3 3 1.26 0.58 2009 3 3 2 0.29 2010 3 3 2.8 0.12 2011 3 3 2.3 0.17 2012 3 3 2.49 0.18 2013 3 3 2.22 0.19 2014 3 3 1.6 0.27 2015 3 3 0.44 0.26 2016 3 3 0.33 0.32 2017 3 3 0.11 0.28 2018 3 3 0.17 0.23 -2019 3 3 0.22 0.43 1963 10 4 54.08 0.19 1964 10 4 54.81 0.19 1965 10 4 51.75 0.35 1966 10 4 60.44 0.22 1967 10 4 81.94 0.16 1968 10 4 75.97 0.23 1969 10 4 72.48 0.27 1970 10 4 79.28 0.27 1971 10 4 59.2 0.31 -1972 10 4 150.52 0.37 1973 10 4 15.1 0.43 1974 10 4 6.31 0.42 1975 10 4 2.91 0.5 1976 10 4 8.72 0.35 1977 10 4 4.62 0.33 1978 10 4 7.76 0.26 1979 10 4 6.89 0.2 1980 10 4 5.32 0.37 1981 10 4 21.36 0.25 1982 10 4 30.47 0.41 1983 10 4 23.56 0.32 1984 10 4 5.59 0.29 1985 10 4 1.22 0.35 1986 10 4 2.7 0.33 1987 10 4 2.03 0.42 1988 10 4 5.01 0.25 1989 10 4 10.31 0.32 1990 10 4 4.84 0.35 1991 10 4 2.31 0.3 1992 10 4 0.55 0.48 1993 10 4 0.5 0.37 1994 10 4 1.48 0.41 1995 10 4 1.21 0.69 1996 10 4 0.93 0.48 1997 10 4 3.1 0.32 1998 10 4 2.71 0.41 1999 10 4 1.96 0.61 2000 10 4 2.22 0.53 2001 10 4 1.23 0.47 2002 10 4 3.02 0.46 2003 10 4 2.31 0.55 2004 10 4 0.26 0.35 2005 10 4 2.63 0.26 2006 10 4 3.53 0.32 2007 10 4 1.73 0.42 2008 10 4 3.29 0.39 2009 10 4 1.68 0.34 2010 10 4 12.27 0.52 2011 10 4 1.7 0.68 2012 10 4 5.07 0.39 2013 10 4 1.45 0.3 2014 10 4 0.37 0.53 2015 10 4 0.1 0.35 2016 10 4 0.4 0.52 -2017 10 4 0.1 0.9 2018 10 4 0.1 0.43 -9999 1 1 1 1 # terminator for survey observations # # ------------------------------------------------ DISCARDS 1 #_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 1 1 -2 #_yr season fleet obs se 1935 1 1 2400 0.3 1936 1 1 2700 0.3 1937 1 1 3000 0.3 1938 1 1 3100 0.3 1939 1 1 3800 0.3 1940 1 1 5700 0.3 1941 1 1 7700 0.3 1942 1 1 9900 0.3 1943 1 1 7300 0.3 1944 1 1 4800 0.3 1945 1 1 4200 0.3 1946 1 1 4400 0.3 1947 1 1 4900 0.3 1948 1 1 4000 0.3 1949 1 1 1900 0.3 1950 1 1 1900 0.3 1951 1 1 1100 0.3 1952 1 1 1200 0.3 1953 1 1 800 0.3 1954 1 1 600 0.3 1955 1 1 900 0.3 1956 1 1 1400 0.3 1957 1 1 2200 0.3 1958 1 1 3600 0.3 1959 1 1 3100 0.3 1960 1 1 3200 0.3 1961 1 1 4700 0.3 1962 1 1 5300 0.3 1963 1 1 5400 0.3 1964 1 1 9500 0.3 1965 1 1 7000 0.3 1966 1 1 5300 0.3 1967 1 1 7700 0.3 1968 1 1 6300 0.3 1969 1 1 2400 0.3 1970 1 1 4500 0.3 1971 1 1 2200 0.3 1972 1 1 1800 0.3 1973 1 1 1711 0.3 1974 1 1 8688 0.3 1975 1 1 1896 0.3 1976 1 1 1583 0.3 1977 1 1 1888 0.3 1978 1 1 5026 0.3 1979 1 1 4431 0.3 1980 1 1 1721 0.3 1981 1 1 1207 0.3 1982 1 1 5038 0.3 1983 1 1 3711 0.3 1984 1 1 1125 0.3 1985 1 1 1217 0.3 1986 1 1 1072 0.3 1987 1 1 881 0.3 1988 1 1 1788 0.3 1989 1 1 5452 0.3 1990 1 1 9680 0.3 1991 1 1 2317 0.3 1992 1 1 1055 0.3 1993 1 1 97 0.3 1994 1 1 367 0.3 1995 1 1 142 0.3 1996 1 1 282 0.3 1997 1 1 373 0.3 1998 1 1 396 0.3 1999 1 1 96 0.3 2000 1 1 275 0.3 2001 1 1 154 0.3 2002 1 1 153 0.3 2003 1 1 169 0.3 2004 1 1 130 0.3 2005 1 1 104 0.3 2006 1 1 187 0.3 2007 1 1 296 0.3 2008 1 1 391 0.3 2009 1 1 268 0.3 2010 1 1 177 0.3 2011 1 1 145 0.3 2012 1 1 221 0.3 # updated with Table 7 from 2019 update assessment 2013 1 1 185 0.3 2014 1 1 109 0.3 2015 1 1 53 0.3 2016 1 1 26 0.3 2017 1 1 16 0.3 2018 1 1 8 0.3 -9999 0 0 0.0 0.0 # terminator for discard data # # ------------------------------------------------ MEAN SIZE 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 # # ------------------------------------------------ LENGTH COMPS # 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 2 # binwidth for population size comp 4 # minimum size in the population (lower edge of first bin and size at age 0.00) 40 # maximum size in the population (lower edge of last bin) 0 # use length composition data (0/1) # # ------------------------------------------------ AGE COMPS 11 #_N_age_bins 0 1 2 3 4 5 6 7 8 9 10 1 #_N_ageerror_definitions 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 10.5 # Expected Age 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 # Standard Error #_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 1e-07 0 0 0 0 1 # fleet 1 0 1e-07 0 0 0 0 1 # fleet 2 0 1e-07 0 0 0 0 1 # fleet 3 0 1e-07 0 0 0 0 1 # fleet 4 1 #_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) # ----------------------------------------------------------------------------------------------------------------------------------------------------------- #_ SPRING SURVEY age comps from 2019_update Table 4. NSamp calculated from NSAW 54 table B39 as n tows w/ yellowtail. 2012-2019 Nsamp = 30 #_Year Month Fleet Sex Part A_err L_low L_high Nsamp a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 a10p 1973 3 3 0 0 1 -1 -1 70 0 0.0199 0.1201 0.3282 0.1844 0.1431 0.178 0.0191 0.0053 0.002 0 1974 3 3 0 0 1 -1 -1 34 0 0.0323 0.1369 0.1614 0.3111 0.1898 0.0739 0.0837 0.0094 0.0015 0 1975 3 3 0 0 1 -1 -1 29 0 0.0856 0.3127 0.0932 0.1209 0.217 0.1221 0.0194 0.0291 0 0 1976 3 3 0 0 1 -1 -1 32 0 0.0032 0.7236 0.0976 0.0469 0.0446 0.0577 0.0205 0.0059 0 0 1977 3 3 0 0 1 -1 -1 37 0 0.22 0.2359 0.4161 0.038 0.0238 0.0316 0.0162 0.012 0 0.0064 1978 3 3 0 0 1 -1 -1 36 0 0.1636 0.6342 0.1126 0.0481 0.0156 0.0078 0.0076 0.0098 0.0006 0 1979 3 3 0 0 1 -1 -1 46 0 0.1666 0.4928 0.2625 0.0472 0.0205 0.0029 0.0029 0.0025 0 0.002 1980 3 3 0 0 1 -1 -1 81 0 0.0451 0.4413 0.2991 0.1886 0.0185 0.0049 0.0008 0.0005 0.0009 0.0003 1981 3 3 0 0 1 -1 -1 37 0 0.0314 0.6763 0.1757 0.0906 0.0217 0.0042 0 0 0 0 1982 3 3 0 0 1 -1 -1 42 0 0.0078 0.6881 0.2234 0.056 0.0184 0.0058 0.0004 0 0 0 1983 3 3 0 0 1 -1 -1 40 0 0.0022 0.3557 0.5893 0.0401 0.0116 0.0012 0 0 0 0 1984 3 3 0 0 1 -1 -1 34 0 0.0093 0.11 0.2189 0.5308 0.0806 0.0504 0 0 0 0 1985 3 3 0 0 1 -1 -1 32 0 0.0734 0.4439 0.1116 0.1322 0.1964 0.0372 0.0053 0 0 0 1986 3 3 0 0 1 -1 -1 33 0 0.0038 0.6887 0.2179 0.0563 0.0295 0.0037 0 0 0 0 1987 3 3 0 0 1 -1 -1 19 0 0 0.0904 0.7351 0.1745 0 0 0 0 0 0 1988 3 3 0 0 1 -1 -1 19 0 0.1975 0.2929 0.1022 0.1425 0.2413 0.0236 0 0 0 0 1989 3 3 0 0 1 -1 -1 21 0 0.0135 0.9325 0.0446 0.0094 0 0 0 0 0 0 1990 3 3 0 0 1 -1 -1 35 0 0.0049 0.0267 0.8435 0.1214 0.0035 0 0 0 0 0 1991 3 3 0 0 1 -1 -1 34 0 0.0301 0.0733 0.3098 0.513 0.0665 0.0074 0 0 0 0 1992 3 3 0 0 1 -1 -1 24 0 0.0088 0.0227 0.2551 0.7133 0 0 0 0 0 0 1993 3 3 0 0 1 -1 -1 15 0 0.0181 0.2833 0.1253 0.4943 0.079 0 0 0 0 0 1994 3 3 0 0 1 -1 -1 13 0 0 0.7221 0.0435 0 0.1834 0.051 0 0 0 0 1995 3 3 0 0 1 -1 -1 24 0 0.0109 0.8165 0.0477 0.0644 0.013 0.0259 0 0.0109 0.0109 0 1996 3 3 0 0 1 -1 -1 25 0 0 0.1699 0.5572 0.2423 0.0307 0 0 0 0 0 1997 3 3 0 0 1 -1 -1 23 0 0.0213 0.3575 0.4622 0.132 0.0271 0 0 0 0 0 1998 3 3 0 0 1 -1 -1 29 0 0.0183 0.8179 0.1047 0.0437 0.0099 0.0055 0 0 0 0 1999 3 3 0 0 1 -1 -1 28 0 0.0115 0.2124 0.6304 0.1139 0.0242 0 0.0074 0 0 0 2000 3 3 0 0 1 -1 -1 24 0 0.0067 0.4032 0.5161 0.0685 0.0054 0 0 0 0 0 2001 3 3 0 0 1 -1 -1 20 0 0 0.0442 0.7366 0.1526 0.0522 0.0145 0 0 0 0 2002 3 3 0 0 1 -1 -1 15 0 0.0282 0.6836 0.135 0.1147 0.0385 0 0 0 0 0 2003 3 3 0 0 1 -1 -1 10 0 0.0693 0.168 0.452 0.2387 0.072 0 0 0 0 0 2004 3 3 0 0 1 -1 -1 12 0 0.0269 0.2265 0.487 0.1367 0.0908 0 0.0319 0 0 0 2005 3 3 0 0 1 -1 -1 17 0 0.2148 0.2996 0.1415 0.0987 0.2227 0 0.0227 0 0 0 2006 3 3 0 0 1 -1 -1 21 0 0.0252 0.7939 0.1122 0.0531 0 0 0.0078 0.0078 0 0 2007 3 3 0 0 1 -1 -1 20 0 0 0.3963 0.5436 0.0601 0 0 0 0 0 0 2008 3 3 0 0 1 -1 -1 16 0 0 0.0393 0.5421 0.3797 0.0388 0 0 0 0 0 2009 3 3 0 0 1 -1 -1 38 0 0.0398 0.2376 0.2205 0.3368 0.1534 0.008 0.004 0 0 0 2010 3 3 0 0 1 -1 -1 40 0 0.0287 0.3171 0.3572 0.1281 0.1578 0.0112 0 0 0 0 2011 3 3 0 0 1 -1 -1 38 0 0.0778 0.2288 0.261 0.2748 0.0742 0.0697 0.0089 0.0047 0 0 2012 3 3 0 0 1 -1 -1 30 0 0.0125 0.4951 0.1117 0.1534 0.1084 0.0366 0.0742 0.0082 0 0 2013 3 3 0 0 1 -1 -1 30 0 0.0575 0.0478 0.7414 0.0852 0.0378 0.0195 0.0107 0 0 0 2014 3 3 0 0 1 -1 -1 30 0 0.0052 0.2419 0.206 0.4233 0.0859 0.0131 0.0123 0.006 0.0063 0 2015 3 3 0 0 1 -1 -1 30 0 0.0189 0.0257 0.3126 0.2612 0.3816 0 0 0 0 0 2016 3 3 0 0 1 -1 -1 30 0 0.244 0.0716 0.1394 0.1596 0.178 0.1303 0.0239 0.0532 0 0 2017 3 3 0 0 1 -1 -1 30 0 0.1228 0.2398 0.1287 0 0.1404 0 0.2865 0.0819 0 0 2018 3 3 0 0 1 -1 -1 30 0 0.1579 0.4667 0 0.0807 0 0 0 0.2947 0 0 -2019 3 3 0 0 1 -1 -1 30 0 0.5499 0.3046 0.035 0.0377 0.0377 0 0 0 0.035 0 # ----------------------------------------------------------------------------------------------------------------------------------------------------------- #_ FALL SURVEY age comps from 2019_update Table 5. NSamp calculated from NSAW 54 table B39 as n tows w/ yellowtail. 2012-2019 Nsamp = 13 = 2007-2011 avg. #_Year Month Fleet Sex Part A_err L_low L_high Nsamp a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 a10p 1973 10 4 0 0 1 -1 -1 15 0 0.1193 0.1506 0.3403 0.1864 0.1322 0.0603 0.011 0 0 0 1974 10 4 0 0 1 -1 -1 11 0 0.1439 0.2269 0.0805 0.317 0.1342 0.0574 0.0289 0.0028 0.0083 0 1975 10 4 0 0 1 -1 -1 14 0 0.5716 0.1573 0.0578 0.0872 0.083 0.015 0.0282 0 0 0 1976 10 4 0 0 1 -1 -1 17 0 0.2747 0.5883 0.0489 0.0065 0.0102 0.0267 0.0308 0.0139 0 0 1977 10 4 0 0 1 -1 -1 19 0 0.5101 0.3247 0.1275 0.0074 0.0063 0.0055 0.0121 0.0064 0 0 1978 10 4 0 0 1 -1 -1 36 0 0.278 0.6376 0.0396 0.0315 0.0033 0.0008 0.0064 0 0.0028 0 1979 10 4 0 0 1 -1 -1 40 0 0.2246 0.4939 0.2376 0.0362 0.0039 0.0038 0 0 0 0 1980 10 4 0 0 1 -1 -1 22 0 0.2248 0.5668 0.1476 0.0609 0 0 0 0 0 0 1981 10 4 0 0 1 -1 -1 28 0 0.4568 0.4611 0.0657 0.0096 0.0056 0.0012 0 0 0 0 1982 10 4 0 0 1 -1 -1 22 0 0.0807 0.7125 0.1758 0.0214 0.0095 0 0 0 0 0 1983 10 4 0 0 1 -1 -1 24 0 0.0982 0.5844 0.2901 0.024 0.002 0 0.0014 0 0 0 1984 10 4 0 0 1 -1 -1 20 0 0.3152 0.2783 0.3337 0.0729 0 0 0 0 0 0 1985 10 4 0 0 1 -1 -1 11 0 0.5887 0.2976 0.0758 0.0379 0 0 0 0 0 0 1986 10 4 0 0 1 -1 -1 11 0 0.1738 0.6025 0.1696 0.0487 0.0055 0 0 0 0 0 1987 10 4 0 0 1 -1 -1 10 0 0.4989 0.2426 0.2112 0.0193 0.0163 0 0.0116 0 0 0 1988 10 4 0 0 1 -1 -1 19 0 0.8724 0.0634 0.0282 0.0282 0.0026 0.0052 0 0 0 0 1989 10 4 0 0 1 -1 -1 20 0 0.0019 0.863 0.1199 0.0143 0.0009 0 0 0 0 0 1990 10 4 0 0 1 -1 -1 21 0 0.0049 0.3511 0.5965 0.0475 0 0 0 0 0 0 1991 10 4 0 0 1 -1 -1 18 0 0.2083 0.0898 0.5664 0.1355 0 0 0 0 0 0 1992 10 4 0 0 1 -1 -1 6 0 0.3057 0.043 0.1306 0.5207 0 0 0 0 0 0 1993 10 4 0 0 1 -1 -1 10 0 0.5596 0.0466 0.2193 0.1744 0 0 0 0 0 0 1994 10 4 0 0 1 -1 -1 11 0 0.4965 0.3007 0.0721 0.078 0.0358 0.017 0 0 0 0 1995 10 4 0 0 1 -1 -1 11 0 0.115 0.5327 0.2128 0.0956 0 0 0.0208 0.023 0 0 1996 10 4 0 0 1 -1 -1 8 0 0.4827 0.1734 0.344 0 0 0 0 0 0 0 1997 10 4 0 0 1 -1 -1 17 0 0.2658 0.1677 0.4714 0.0875 0.0076 0 0 0 0 0 1998 10 4 0 0 1 -1 -1 20 0 0.3289 0.599 0.0457 0.018 0 0.0084 0 0 0 0 1999 10 4 0 0 1 -1 -1 11 0 0.63 0.1994 0.1422 0.0142 0.0142 0 0 0 0 0 2000 10 4 0 0 1 -1 -1 11 0 0.0224 0.7532 0.1367 0.0774 0 0 0.0102 0 0 0 2001 10 4 0 0 1 -1 -1 11 0 0.3168 0.4965 0.1287 0.058 0 0 0 0 0 0 2002 10 4 0 0 1 -1 -1 16 0 0.0845 0.5834 0.2853 0.0468 0 0 0 0 0 0 2003 10 4 0 0 1 -1 -1 9 0 0.6875 0.0051 0.1581 0.1345 0 0.0148 0 0 0 0 2004 10 4 0 0 1 -1 -1 8 0 0.2673 0.3696 0 0.0858 0.1815 0.0957 0 0 0 0 2005 10 4 0 0 1 -1 -1 19 0 0.7168 0.1761 0.0704 0.0185 0.0182 0 0 0 0 0 2006 10 4 0 0 1 -1 -1 15 0 0.3374 0.6089 0.0483 0.0054 0 0 0 0 0 0 2007 10 4 0 0 1 -1 -1 7 0 0.1297 0.6488 0.2064 0 0.0151 0 0 0 0 0 2008 10 4 0 0 1 -1 -1 14 0 0.3243 0.1198 0.3267 0.2035 0.018 0.0077 0 0 0 0 2009 10 4 0 0 1 -1 -1 15 0 0.2247 0.372 0.2227 0.1678 0.0128 0 0 0 0 0 2010 10 4 0 0 1 -1 -1 16 0 0.0282 0.4328 0.2386 0.2386 0.0618 0 0 0 0 0 2011 10 4 0 0 1 -1 -1 14 0 0.1357 0.2361 0.3252 0.1996 0.0948 0.0087 0 0 0 0 2012 10 4 0 0 1 -1 -1 13 0 0.0517 0.5436 0.2173 0.1233 0.0297 0.0278 0.0065 0 0 0 2013 10 4 0 0 1 -1 -1 13 0 0.1478 0.1532 0.5045 0.1083 0.0551 0.0239 0 0.0072 0 0 2014 10 4 0 0 1 -1 -1 13 0 0.0972 0.3886 0.1564 0.2962 0 0.0616 0 0 0 0 2015 10 4 0 0 1 -1 -1 13 0 0 0 0.4018 0.4821 0 0.1161 0 0 0 0 2016 10 4 0 0 1 -1 -1 13 0 0.2363 0.2845 0.07 0.1947 0.081 0.1204 0.0131 0 0 0 -2017 10 4 0 0 1 -1 -1 13 0 0 0 0 0 0 0 0 0 0 0 # year missing 2018 10 4 0 0 1 -1 -1 13 0 0.4071 0.5929 0 0 0 0 0 0 0 0 # ----------------------------------------------------------------------------------------------------------------------------------------------------------- #_ commercial landings age comps. Warning: pre-1994 not real data since Nsamples table doesn't start until 1994? #_ landings age comps from 2019_update Table 13. NSamp calculated from 2019 update Table 10 lengths/100mt * age samps, scaled to 100 for time series. #_Year Month Fleet Sex Part A_err L_low L_high Nsamp a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 a10p 1994 7 1 0 2 1 -1 -1 1 0 0 0.0176 0.3373 0.2808 0.2667 0.0917 0.0059 0 0 0 1995 7 1 0 2 1 -1 -1 1 0 0 0 0.3438 0.4948 0.1069 0.0231 0.0314 0 0 0 1996 7 1 0 2 1 -1 -1 3 0 0 0.2599 0.5498 0.1533 0.0176 0.0123 0.0044 0.0026 0 0 1997 7 1 0 2 1 -1 -1 5 0 0 0.0184 0.5411 0.3688 0.0485 0.009 0.01 0.0026 0.0016 0 1998 7 1 0 2 1 -1 -1 1 0 0 0.3608 0.4483 0.1634 0.0242 0.0028 0.0006 0 0 0 1999 7 1 0 2 1 -1 -1 1 0 0.0214 0.1134 0.6719 0.1513 0.029 0.0129 0 0 0 0 2000 7 1 0 2 1 -1 -1 1 0 0.0008 0.2751 0.4974 0.2011 0.022 0.0036 0 0 0 0 2001 7 1 0 2 1 -1 -1 3 0 0 0.1444 0.6128 0.1792 0.0483 0.0096 0.005 0.0007 0 0 2002 7 1 0 2 1 -1 -1 3 0 0 0.1414 0.6016 0.2422 0.0147 0 0 0 0 0 2003 7 1 0 2 1 -1 -1 1 0 0 0.1172 0.5168 0.3381 0.0221 0.0029 0.0019 0.001 0 0 2004 7 1 0 2 1 -1 -1 1 0 0 0.0188 0.3459 0.3072 0.2177 0.0928 0.0066 0.011 0 0 2005 7 1 0 2 1 -1 -1 1 0 0 0.207 0.2766 0.2623 0.1783 0.0492 0.0266 0 0 0 2006 7 1 0 2 1 -1 -1 20 0 0 0.2066 0.3626 0.2308 0.0923 0.0593 0.0374 0.0066 0.0044 0 2007 7 1 0 2 1 -1 -1 80 0 0 0.0768 0.6307 0.2012 0.0539 0.0228 0.0083 0.0041 0.0021 0 2008 7 1 0 2 1 -1 -1 100 0 0 0.0097 0.2961 0.6335 0.0485 0.0073 0.0024 0.0024 0 0 2009 7 1 0 2 1 -1 -1 27 0 0 0.0623 0.103 0.4959 0.3252 0.0136 0 0 0 0 2010 7 1 0 2 1 -1 -1 51 0 0 0.0137 0.347 0.1918 0.3196 0.1233 0.0046 0 0 0 2011 7 1 0 2 1 -1 -1 65 0 0 0.0576 0.2751 0.2729 0.2303 0.145 0.0192 0 0 0 2012 7 1 0 2 1 -1 -1 60 0 0 0.0413 0.2286 0.3222 0.2413 0.1286 0.0333 0.0048 0 0 2013 7 1 0 2 1 -1 -1 26 0 0 0.0166 0.3406 0.352 0.1786 0.0779 0.0322 0.0021 0 0 2014 7 1 0 2 1 -1 -1 17 0 0 0.188 0.2039 0.4279 0.1406 0.0316 0.0053 0.0026 0 0 2015 7 1 0 2 1 -1 -1 45 0 0 0.045 0.2216 0.1622 0.4631 0.0685 0.0324 0.0036 0.0018 0.0018 2016 7 1 0 2 1 -1 -1 38 0 0 0.0335 0.1297 0.2469 0.1548 0.3849 0.0377 0.0126 0 0 2017 7 1 0 2 1 -1 -1 11 0 0 0 0.0811 0.1081 0.2162 0.1081 0.4324 0.0541 0 0 2018 7 1 0 2 1 -1 -1 55 0 0 0 0 0.125 0.125 0.375 0.125 0.25 0 0 # ----------------------------------------------------------------------------------------------------------------------------------------------------------- #_ commercial discards at age comps. Warning: pre-1994 not real data since observed trips table doesn't start until 1994? #_ discards at age from 2019_update Table 15. NSamp calculated from 2019 update Table 11 trawl trips observed scaled to 100 for time series #_Year Month Fleet Sex Part A_err L_low L_high Nsamp a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 a10p 1994 7 1 0 1 1 -1 -1 3 0 0.1396 0.4558 0.1979 0.1333 0.0631 0.0103 0 0 0 0 1995 7 1 0 1 1 -1 -1 8 0 0.002 0.678 0.22 0.074 0.014 0.004 0.004 0 0.004 0 1996 7 1 0 1 1 -1 -1 7 0 0.0051 0.2494 0.6418 0.081 0.0139 0.0063 0.0013 0.0013 0 0 1997 7 1 0 1 1 -1 -1 5 0 0.0187 0.1619 0.5441 0.2423 0.0264 0.0022 0.0033 0.0011 0 0 1998 7 1 0 1 1 -1 -1 3 0 0.0045 0.5222 0.3182 0.1142 0.0317 0.0091 0 0 0 0 1999 7 1 0 1 1 -1 -1 3 0 0.0226 0.4072 0.4253 0.1041 0.0271 0.0045 0.009 0 0 0 2000 7 1 0 1 1 -1 -1 4 0 0.0231 0.6508 0.2473 0.0734 0.0027 0.0014 0.0014 0 0 0 2001 7 1 0 1 1 -1 -1 7 0 0 0.2479 0.6239 0.1197 0.0085 0 0 0 0 0 2002 7 1 0 1 1 -1 -1 5 0 0.0199 0.4131 0.3789 0.1595 0.0256 0.0028 0 0 0 0 2003 7 1 0 1 1 -1 -1 8 0 0.0077 0.2879 0.4961 0.1568 0.0308 0.0129 0.0077 0 0 0 2004 7 1 0 1 1 -1 -1 28 0 0.5629 0.3037 0.0658 0.0522 0.0135 0.0019 0 0 0 0 2005 7 1 0 1 1 -1 -1 34 0 0.1265 0.332 0.2174 0.1581 0.1186 0.0237 0.0237 0 0 0 2006 7 1 0 1 1 -1 -1 19 0 0.0936 0.4771 0.2569 0.0972 0.033 0.0183 0.0165 0.0055 0.0018 0 2007 7 1 0 1 1 -1 -1 27 0 0.0117 0.3146 0.5209 0.1031 0.0248 0.0117 0.0078 0.0039 0.0013 0 2008 7 1 0 1 1 -1 -1 23 0 0.0347 0.0728 0.3884 0.4647 0.0358 0.0023 0.0012 0 0 0 2009 7 1 0 1 1 -1 -1 37 0 0.0255 0.2636 0.2109 0.2455 0.2382 0.0145 0.0018 0 0 0 2010 7 1 0 1 1 -1 -1 45 0 0.0085 0.1823 0.3048 0.1795 0.2507 0.0712 0.0028 0 0 0 2011 7 1 0 1 1 -1 -1 49 0 0.0556 0.1319 0.2604 0.2431 0.1667 0.1111 0.0278 0.0035 0 0 2012 7 1 0 1 1 -1 -1 38 0 0.0363 0.5545 0.2117 0.1058 0.049 0.03 0.0111 0.0016 0 0 2013 7 1 0 1 1 -1 -1 52 0 0.0641 0.1443 0.521 0.1723 0.0641 0.024 0.01 0 0 0 2014 7 1 0 1 1 -1 -1 66 0 0.0383 0.2043 0.1872 0.3617 0.1532 0.0383 0.0085 0.0085 0 0 2015 7 1 0 1 1 -1 -1 54 0 0 0.2414 0.25 0.1379 0.2759 0.0603 0.0259 0.0086 0 0 2016 7 1 0 1 1 -1 -1 71 0 0 0.1486 0.4054 0.1216 0.1081 0.0811 0.1216 0.0135 0 0 2017 7 1 0 1 1 -1 -1 80 0 0.375 0.25 0.125 0.125 0.125 0 0 0 0 0 2018 7 1 0 1 1 -1 -1 80 0 0.125 0.75 0.125 0 0 0 0 0 0 0 -9999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 1 #_Use_MeanSize-at-Age_obs (0/1) #_yr month fleet sex part AgeErr Ignore a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 N_a0 N_a1 N_a2 N_a3 N_a4 N_a5 N_a6 N_a7 N_a8 N_a9 N_a10 ages median w/age used 1994 7 1 0 2 -1 999 0.03 0.078 0.247 0.321 0.387 0.48 0.609 0.861 0.869 0.894 0.924 2 2 2 2 2 2 2 2 2 2 2 #_8_9_10 1995 7 1 0 2 -1 999 0.03 0.076 0.216 0.325 0.401 0.579 0.761 0.755 0.587 0.799 0.924 1 1 1 1 1 1 1 1 1 1 1 #_10 1996 7 1 0 2 -1 999 0.03 0.102 0.335 0.368 0.457 0.604 0.698 0.79 0.844 0.894 0.924 4 4 4 4 4 4 4 4 4 4 4 #_9_10 1997 7 1 0 2 -1 999 0.03 0.139 0.251 0.396 0.466 0.584 0.728 0.779 0.835 0.802 0.924 4 4 4 4 4 4 4 4 4 4 4 #_10 1998 7 1 0 2 -1 999 0.03 0.16 0.287 0.367 0.494 0.567 0.717 0.859 0.869 0.894 0.924 2 2 2 2 2 2 2 2 2 2 2 #_8_9_10 1999 7 1 0 2 -1 999 0.03 0.131 0.309 0.4 0.557 0.629 1.685 1.891 0.869 0.894 0.924 2 2 2 2 2 2 2 2 2 2 2 #_8_9_10 2000 7 1 0 2 -1 999 0.03 0.185 0.321 0.444 0.561 0.667 0.751 0.763 0.869 0.894 0.924 1 1 1 1 1 1 1 1 1 1 1 #_8_9_10 2001 7 1 0 2 -1 999 0.03 0.145 0.36 0.419 0.567 0.684 0.788 0.839 1.13 0.894 0.924 2 2 2 2 2 2 2 2 2 2 2 #_9_10 2002 7 1 0 2 -1 999 0.03 0.164 0.33 0.438 0.574 0.764 0.679 0.922 0.869 0.894 0.924 3 3 3 3 3 3 3 3 3 3 3 #_8_9_10 2003 7 1 0 2 -1 999 0.03 0.095 0.313 0.413 0.572 0.722 0.876 1.019 1.13 0.894 0.924 2 2 2 2 2 2 2 2 2 2 2 #_9_10 2004 7 1 0 2 -1 999 0.03 0.136 0.295 0.436 0.54 0.581 0.785 0.927 0.834 0.894 0.924 1 1 1 1 1 1 1 1 1 1 1 #_9_10 2005 7 1 0 2 -1 999 0.03 0.102 0.295 0.415 0.511 0.634 0.709 0.935 0.869 0.894 0.924 3 3 3 3 3 3 3 3 3 3 3 #_8_9_10 2006 7 1 0 2 -1 999 0.03 0.11 0.251 0.373 0.475 0.607 0.721 0.817 0.924 0.945 1.13 12 12 12 12 12 12 12 12 12 12 12 2007 7 1 0 2 -1 999 0.03 0.111 0.268 0.363 0.472 0.628 0.749 0.87 1.001 1.065 1.331 27 27 27 27 27 27 27 27 27 27 27 2008 7 1 0 2 -1 999 0.03 0.151 0.266 0.388 0.461 0.574 0.766 0.96 2.139 0.763 0.924 32 32 32 32 32 32 32 32 32 32 32 #_10 2009 7 1 0 2 -1 999 0.03 0.105 0.281 0.367 0.502 0.601 0.73 1.047 0.859 0.894 0.924 17 17 17 17 17 17 17 17 17 17 17 #_9_10 2010 7 1 0 2 -1 999 0.03 0.099 0.281 0.414 0.47 0.573 0.69 0.895 1.211 1.122 0.924 28 28 28 28 28 28 28 28 28 28 28 2011 7 1 0 2 -1 999 0.03 0.13 0.28 0.412 0.491 0.572 0.684 0.89 1.259 0.894 0.924 23 23 23 23 23 23 23 23 23 23 23 #_9_10 2012 7 1 0 2 -1 999 0.03 0.12 0.251 0.365 0.475 0.554 0.675 0.804 0.9 0.894 0.924 19 19 19 19 19 19 19 19 19 19 19 #_9_10 2013 7 1 0 2 -1 999 0.03 0.154 0.254 0.351 0.453 0.565 0.647 0.761 0.902 0.894 0.924 11 11 11 11 11 11 11 11 11 11 11 #_9_10 2014 7 1 0 2 -1 999 0.03 0.156 0.345 0.396 0.459 0.565 0.651 0.794 0.869 0.742 0.924 9 9 9 9 9 9 9 9 9 9 9 #_10 2015 7 1 0 2 -1 999 0.03 0.046 0.281 0.388 0.476 0.548 0.655 0.716 0.805 0.829 0.752 17 17 17 17 17 17 17 17 17 17 17 2016 7 1 0 2 -1 999 0.03 0.121 0.27 0.349 0.434 0.521 0.602 0.722 0.812 0.983 0.924 27 27 27 27 27 27 27 27 27 27 27 #_10 2017 7 1 0 2 -1 999 0.03 0.112 0.216 0.416 0.489 0.509 0.671 0.674 0.724 0.988 0.924 21 21 21 21 21 21 21 21 21 21 21 2018 7 1 0 2 -1 999 0.03 0.139 0.199 0.348 0.607 0.609 0.642 0.682 0.694 0.894 0.836 20 20 20 20 20 20 20 20 20 20 20 -9999 0 0 0 0 0 999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 0 #_N_environ_variables #Yr Variable Value #_1973 1 2.9953 #_1974 1 2.9576 #_1975 1 0.9272 #_1976 1 -0.5362 #_1977 1 1.0362 #_1978 1 -2.8946 #_1979 1 -2.1015 #_1980 1 -0.8412 #_1981 1 -2.5674 #_1982 1 0.9275 #_1983 1 -1.1852 #_1984 1 -1.9438 #_1985 1 4.1785 #_1986 1 2.4237 #_1987 1 -2.0332 #_1988 1 -3.6673 #_1989 1 -0.0407 #_1990 1 1.2379 #_1991 1 -0.9686 #_1992 1 -0.1202 #_1993 1 -2.7746 #_1994 1 1.8481 #_1995 1 5.284 #_1996 1 -0.1767 #_1997 1 0.8876 #_1998 1 -3.6034 #_1999 1 6.4353 #_2000 1 4.2452 #_2001 1 1.6367 #_2002 1 0.3118 #_2003 1 1.0147 #_2004 1 0.0686 #_2005 1 -2.8502 #_2006 1 5.6464 #_2007 1 -1.4038 #_2008 1 -1.478 #_2009 1 6.6792 #_2010 1 2.2914 #_-9999 0 0 0 # N sizefreq methods to read # 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