GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019).

instrument = Label:kpo_1147_01 File:kpo_1147_instr_01.nc Type:Teledyne RDI LongRanger 75 SN:12530instrument = Label:kpo_1147_02 File:kpo_1147_instr_02.nc Type:Seabird MicroCat 37-SM mit P SN:10713instrument = Label:kpo_1147_03 File:kpo_1147_instr_03.nc Type:Seabird MicroCat 37-SM SN:01682 depth/pressure data was at least partially derived and not directly measured, consult quality flags for detailsinstrument = Label:kpo_1147_04 File:kpo_1147_instr_04.nc Type:Nortek Aquadopp Seriell SN:P26209-16instrument = Label:kpo_1147_05 File:kpo_1147_instr_05.nc Type:Nortek Aquadopp Induktiv SN:P26209-02instrument = Label:kpo_1147_06 File:kpo_1147_instr_06.nc Type:Seabird MicroCat 37-SM SN:02618 depth/pressure data was at least partially derived and not directly measured, consult quality flags for detailsinstrument = Label:kpo_1147_07 File:kpo_1147_instr_07.nc Type:Nortek Aquadopp Seriell SN:P26209-27instrument = Label:kpo_1147_08 File:kpo_1147_instr_08.nc Type:Nortek Aquadopp Seriell SN:P26209-18instrument = Label:kpo_1147_09 File:kpo_1147_instr_09.nc Type:Seabird MicroCat 37-SM SN:01583 depth/pressure data was at least partially derived and not directly measured, consult quality flags for detailscomment = flag_meaningscomment = 0:unknowncomment = 1:good_datacomment = 2:probably_good_datacomment = 3:potentially_correctable_bad_datacomment = 4:bad_datacomment = 5:not_usedcomment = 6:not_usedcomment = 7:nominal_valuecomment = 8:interpolated_valuecomment = 9:missing_value