suspect data

By Leila Belabbassi, on 5/24/19

suspect data.

By Leila Belabbassi, on 5/15/19

large gaps at the end of deployments 5 and 6 are not annotated in the system

By Leila Belabbassi, on 5/24/19

data gaps are not annotated in the system (deployments 5 and 7).

By Leila Belabbassi, on 5/24/19

recovered_inst data are not complete. Data are found in the recovered_host stream.

By Leila Belabbassi, on 5/24/19

suspect data

By Leila Belabbassi, on 5/24/19

suspect data

By Leila Belabbassi, on 5/24/19

suspect data

By Leila Belabbassi, on 5/24/19

a large gap at the end of the deployment is not annotated in the system.

By Leila Belabbassi, on 5/24/19

recovered instrument data from deployment 7 are missing

By Leila Belabbassi, on 5/23/19

data gaps are not annotated in the system for deployments 5 and 7.

By Leila Belabbassi, on 5/23/19

pressure coordinate missing from the data files

By Leila Belabbassi, on 5/23/19

no annotation in the system to indicate that data from deployments 1 and 2 are not expected.

By Leila Belabbassi, on 5/23/19

recovered instrument data for deployments 5 and 7 are missing

By Leila Belabbassi, on 5/23/19

59% of the parad_m_par data for deployment 4 are outside of global ranges [0.0, 2500.0]. The majority of the values outside of global ranges are negative (plot zoomed to axis limits [-0.5, 0.5] attached).

By Lori Garzio, on 5/17/19

5% of the parad_m_par data for deployment 6 are outside of global ranges [0.0, 2500.0]. The majority of the values outside of global ranges are negative.

By Lori Garzio, on 5/17/19

The deployment 5 .nc file is missing coordinates lat, lon, and pressure

By Lori Garzio, on 5/17/19

parad_m_par values are orders of magnitude too high for this deployment. The scaling factor should be reviewed.

By Lori Garzio, on 5/17/19

sci_bsipar_par is the unscaled L0 PAR data product. The global ranges for this parameter are the same as for the scaled L1 PAR data product [0.0, 2500.0]. The global range for sci_bsipar_par should be reviewed.

By Lori Garzio, on 5/17/19

parad_m_par values are orders of magnitude too low for this deployment (max value = 0.0005). sci_bsipar_par values are reasonable, so the scaling factor should be reviewed.

By Lori Garzio, on 5/17/19