INSITU GLO TS OA REP OBSERVATIONS 013 002 b INSITU GLO … · PUM for Objective Analysis Products...

PRODUCT USER MANUAL

For Near Real Time and Delayed Mode Objective Analysis Products

INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a

Issue: 1.6

Contributors : J. Gatti, S. Pouliquen, T. Szekely, D. Dobler

Approval Date: May 2020

PUM for Objective Analysis Products


March 13, 2020

Issue : 1.6

© EU Copernicus Marine Service – Public Ref: CMEMS-INS-PUM-013-002-ab / 22

CHANGE RECORD

Document version

Date change Description of Change Author Validated By

1.0 10/02/2013

Creation of the document

Julie Gatti S Pouliquen

1.1 15/01/2015 Remove daily product S Pouliquen L. Crosnier

1.2

May 1 2015 all Change format to fit CMEMS graphical rules

L. Crosnier

1.3

1.3a

Mar 15 2016

Mar 15 2016

all Change MyOcean in CMEMS

Minor typo changes

S Pouliquen

L. Petit de la Villéon

S Pouliquen

1.4 Mar 07 2017

All Update T.Szekely

1.5 Sept 10, 2019

All Update T.Szekely

1.6 Mar 13 2020

All Update for NRT product D.Dobler C. Derval



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TABLE OF CONTENTS

I INTRODUCTION 5

I.1 Scope of this document 5

I.2 The CMEMS project 5

I.3 Short introduction to the products 5

II SYSTEM DESCRIPTION 6

III PRODUCT DESCRIPTION 7

III.1 General Information 7

III.2 Details of datasets 8

III.3 Temporal extent of analysis and update date 8

III.4 Spatial coverage and resolution 8

III.5 ISAS Configuration and first-guesses 9

IV PRODUCT DISTRIBUTION 11

IV.1 Which Download mechanism is available for this product? 11

IV.2 How to download this product? 11

IV.3 Portal ftp structure 11

V FILES NOMENCLATURE AND FORMAT 13

V.1 Nomenclature of files when downloaded through the CMEMS FTP Service 13

V.2 File Format: Netcdf 13

V.3 Structure and semantic of NetCDF files 14

V.3.1 netcdf OA_NRTOAGL01_20151215_fld_PSAL { 14

V.3.2 netcdf OA_NRTOAGL01_20150115_fld_TEMP { 15

V.3.3 netcdf OA_NRTOAGL01_20150115_dat_PSAL { 17

V.3.4 netcdf OA_NRTOAGL01_20150115_dat_TEMP { 19

VI REFERENCES 22



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GLOSSARY AND ABBREVIATIONS

CF Climate Forecast (convention for NetCDF)

CORA COriolis Re-Analysis

CORIOLIS In situ data system for operational oceanography

DT Delayed Time

EU European Union

FTP File Transfer Protocol

GDAC Global Data Archiving Centre

GTS Meteorological data exchange network

INS In situ

ISAS In Situ Analysis System

MFC Monitoring and Forecasting Centre

NetCDF Network Common Data Form

NRT Near Real Time

OA Objective Analysis

PUM Product User Manual

RAN ReANalysis

R&D Research and Development

RT Real Time

S Sea Salinity

T Sea Temperature

TAC Thematic Assembly Centre



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I INTRODUCTION

I.1 Scope of this document

This Product User Manual describes the INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a and the gridded product of the INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b products from the CMEMS In Situ Thematic Centre: how they are built, which content, which data services are available to access them.

I.2 The CMEMS project

The main objective of the COPERNICUS Marine and Environment Monitoring Service is to deliver and operate a rigorous, robust and sustainable Ocean Monitoring and Forecasting system to users for marine applications: maritime safety, marine resources, marine and coastal environment and climate, seasonal and weather forecasting. The CMEMS INSTAC prepares re-analysed datasets for reanalysis activities performed by the CMEMS MFCs and external users in collaboration with the SeaDataNet infrastructure and the EMODnet program for the global ocean and the European regional seas.

I.3 Short introduction to the products

Products INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a and INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b generated by the Coriolis team (the Data Centre and the Research & Development team) in Brest, France, provide global Temperature and Salinity observations datasets and objective analysis gridded fields at different time scales. The first one is a Near Real Time product (NRT) while the second one (also called CORA Analysed fields, see

Cabanes et al., 2013 and Szekely et al., 2019) is a reanalysis of these Near Real Time datasets in

delayed-mode.



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II SYSTEM DESCRIPTION

The operational analysis system set up by the IN SITU TAC Global component is operated by

CORIOLIS data centre and R&D team. It produces quality-controlled temperature and salinity

observations datasets and gridded fields. The system is based on a statistical analysis method

(objective analysis, Bretherton et al., 1976) developed and maintained at LOPS (Laboratoire

d’Océanographie Physique et Spatial, Gaillard et al., 2009): the In Situ Analysis System (ISAS). It is

performed on the datasets extracted from the Coriolis database for data quality control and producing

gridded scalar fields. This system allows presenting a synthesis and a validation of the dataset,

providing a support for localized experience (cruises), providing a validation source for operational

models, observing seasonal cycle and inter-annual variability. It is the In Situ Objective analysis

operational nominal product for the Global Ocean. The dataset contains data from different types of

instruments: mainly Argo floats (including ITP), CTD, XBT and XCTD, moorings, drifting buoys and sea

mammals.

On changes of ISAS version:

INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b (CORA-GLOBAL product is re-processed from

1990 using the same ISAS version. CORA-GLOBAL-05.2 uses the version 7.0 of ISAS.

INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a product is available from Early 2015. The used

ISAS version has been changed to the v7.0 version of ISAS during summer 2020. Gridded fields have been

reprocessed from 2015 up to current time.

Further information on the ISAS tool is available at http://dx.doi.org/10.13155/22583.

http://dx.doi.org/10.13155/22583



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III PRODUCT DESCRIPTION

III.1 General Information

The operational analysis system is operated by the IN SITU TAC on different time scales through the

two products.

For the INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a product (A Near-Real-Time

Objective Analysis - former NRTOAGL01). The objective analysis is run several times for each

month, the first time it is run on the 8th of the following month, and the second time, it is run 3

weeks later, on the 1st of the month after, as new data still arrive more than 3 weeks after

acquisition. Then annually, the monthly products that are more recent than the last available

monthly REP (delayed mode) product are generated once more, This allows to take into

account the quality improvement in the overall Coriolis dataset, and in particular, a better

correction of salinity drifts (see a more detailed justification in the QUID).

For the INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b product, a complete re-

analysis is performed in delayed mode on all the data extracted from the Coriolis database

since 1990 and updated each year to add the latest complete year of data

THIS IS THE PRODUCT TO USE WHEN AVAILABLE AS THE TIME SERIE IS HOMOGENEOUS IN

TERM OF VERSION OF THE ANALYSIS SYSTEM AND THE OBSERVATION USED HAVE BEEN

SCIENTIFICALLY ASSESSED



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III.2 Details of datasets

The following manual applies to the following list of products described in CMEMS Catalogue

Short Description

Product code Area Delivery Time

Included Data

Global NRT

INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a

Global Monthly

Stations for which both temperature and salinity fields are available and no eXpendable (XBT, XCTD) data

Global DT INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b

Global Yearly All types of data (described thoroughly in PUM of INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b product)

Table 1: List of INS TAC products for which this manual apply

Detailed information on the INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b product is available at: http://www.coriolis.eu.org/Science2/Global-Ocean/CORA

III.3 Temporal extent of analysis and update date

For the INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a product:

A Monthly analysis is run using data covering a six-week window, 21 days before and after the date of the analysis centred on the 15th of the month..These monthly analyses are delivered as mentioned previously: the 8

th of the following month, the 1

st of the Month after and annually in January or February

if the monthly analysis date is more recent than the last delayed-mode (REP) product. This time series shouldn’t contain gaps unless no data was available for this month.

For the INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b product

See http://www.coriolis.eu.org/Science2/Global-Ocean/CORA for detailed information

III.4 Spatial coverage and resolution

For both products, this is a global analysis, covering -180 to 179.5 degrees in longitude and -77.0 to 89.9 in latitude. Longitude resolution is equal to 0.5 degrees. Latitude resolution is not homogenous: it is equal to 0.5 degrees at the equator, reaches 0.1 degrees at 77 S and 0.2 degrees at 89.9 N (see Figure 1)

http://www.coriolis.eu.org/Science2/Global-Ocean/CORA




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Figure 1: latitude resolution of the gridded field

III.5 ISAS Configuration and first-guesses

The following ISAS configuration was used to generate the gridded fields:

Product Configuration file Content

NRT PSAL.cnf PSAL

ISAS13_CLIM_ann_STD_PSAL.nc % a priori climatology variance

ISAS13FDS_ann_0_COVS.nc% a priori climatology covariance

bathy_isas15.nc % bathy definition

300 300 30 % covar_ls x, y t (in km, km, days)

30 % covar_ms_t (in days)

1 2 8 % var_weigh (LS, MS, UR)

1 1 0 1 % x, y, z, t covariance dependency (1 = yes, 0 = no)

1.5 % fact. Variance

5 12 % QC Max Mx_std

0.99 % Cov_max (if > 1, no oversampling test) (v4 : 1.1)

NRT TEMP.cnf TEMP

ISAS13_CLIM_ann_STD_TEMP.nc % a priori climatology variance









0.99 % Cov_max (if > 1, no oversampling test)

NRT Pre-treatment

conf_isasana.xml

For a same platform, if relevant, a reduction is performed by averaging

information on :

5km/5days areas for data treated as vertical profiles

55km/9days areas for data treated as time series (namely



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TAO/PIRATA/RAMA moorings)

REP PSAL.cnf PSAL

ISAS13_CLIM_ann_STD_PSAL.nc % a priori climatology variance










REP TEMP.cnf TEMP

ISAS13_CLIM_ann_STD_TEMP.nc % a priori climatology variance










The climatology (first-guess) used for NRT product is ISAS13 (Gaillard et al. , 2016).

The climatology (first-guess) used for REP product is varying with the year of analysis. It begins with WOA climatology in 1990 and ends with ISAS13 climatology in 2016 and after. For the years in-between, a weighted average is performed using both climatology, the weighs depending on the time distance to them.



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IV PRODUCT DISTRIBUTION

IV.1 Which Download mechanism is available for this product?

The download mechanisms available for this product are:

Subsetter

CMEMS FTP

IV.2 How to download this product?

You first need to register. Please find the registration steps on our website:

http://marine.copernicus.eu/tutorials/how-to-register-to-copernicus-marine-service-update-

september-2015/

Once registered, the CMEMS FAQ will guide you on how to download a product through the CMEMS Web Portal Subsetter and FTP Services.

IV.3 Portal ftp structure

The directory organization on the ftp portal is described below.

Figure 2: ftp portal structure of the INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a product

data

FTP Portal

field

YYYY

2015

2020

YYYY

2015

2020

OA_NRTOAGL01_YYYYMM15_dat_PSAL.nc OA_ NRTOAGL01_YYYYMM15_dat_TEMP.nc

OA_NRTOAGL01_YYYYMM15_fld_PSAL.nc OA_ NRTOAGL01_YYYYMM15_fld_TEMP.nc

http://marine.copernicus.eu/tutorials/how-to-register-to-copernicus-marine-service-update-september-2015/

http://marine.copernicus.eu/tutorials/how-to-register-to-copernicus-marine-service-update-september-2015/



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Figure 3: ftp portal structure of the INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b product

The following directories of the ftp portal relate to various and different data:

- DATA: information on the auxiliary data used to build the analysed gridded field.

- FIELD: the the gridded field produced by the objective analysis and estimation error.

For detailed information on CORA, please visit: http://www.coriolis.eu.org/Science2/Global-Ocean/CORA

data

CORA-5.2-data-YYYY.tgz

OA_CORA5.2_YYYYMM15_dat_PSAL.nc OA_CORA5.2_YYYYMM15_dat_TEMP.nc

FTP Portal

field YYYY

1990

2019

OA_CORA5.2_YYYYMM15_fld_PSAL.nc OA_CORA5.2_YYYYMM15_fld_TEMP.nc





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V FILES NOMENCLATURE AND FORMAT

Only files of the INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a product are described hereafter since a full description of the CORA files is available at: http://www.coriolis.eu.org/Science2/Global-Ocean/CORA

V.1 Nomenclature of files when downloaded through the CMEMS FTP Service

- The OA files: OA_code_YYYYMMDD_type_param.nc

where: code is the name of the analysis performed: NRTOAGL01,

YYYYMMDD is the central date of the analysed period ,

type is the type of analysis product: dat for data or fld for gridded field,

param is the parameter : TEMP (sea temperature) or PSAL (sea salinity).

V.2 File Format: Netcdf

The products are stored using the NetCDF format.

Since mid-2020, INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a files uses netCDF-4 classic model format (especially for compression capability) and INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b files uses netCDF-3 model.

NetCDF (network Common Data Form) is an interface for array-oriented data access and a library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The netCDF software was developed at the Unidata Program Centre in Boulder, Colorado. The netCDF libraries define a machine-independent format for representing scientific data.

Please see Unidata netCDF pages for more information, and to retrieve netCDF software package.

NetCDF data is:

* Self-Describing. A netCDF file includes information about the data it contains.

* Architecture-independent. A netCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.

* Direct-access. A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data.

* Appendable. Data can be appended to a netCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a netCDF dataset can be changed, though this sometimes causes the dataset to be copied.

* Sharable. One writer and multiple readers may simultaneously access the same netCDF file.




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V.3 Structure and semantic of NetCDF files

For OA_code_YYYYMMDD_type_param.nc, there are four different netcdf descriptions:

OA_code_YYYYMMDD_fld_PSAL.nc

OA_code_YYYYMMDD_fld_TEMP.nc

OA_code_YYYYMMDD_dat_PSAL.nc

OA_code_YYYYMMDD_dat_TEMP.nc

V.3.1 netcdf OA_NRTOAGL01_20151215_fld_PSAL {

dimensions: longitude = 720 ; latitude = 545 ; depth = 152 ; time = 1 ; variables: float longitude(longitude) ; longitude:standard_name = "longitude" ; longitude:units = "degree_east" ; longitude:valid_min = -180.f ; longitude:valid_max = 180.f ; longitude:axis = "X" ; float latitude(latitude) ; latitude:standard_name = "latitude" ; latitude:units = "degree_north" ; latitude:valid_min = -90.f ; latitude:valid_max = 90.f ; latitude:axis = "Y" ; float depth(depth) ; depth:standard_name = "depth" ; depth:units = "m" ; depth:positive = "down" ; depth:valid_min = 0.f ; depth:valid_max = 12000.f ; depth:axis = "Z" ; float time(time) ; time:standard_name = "time" ; time:units = "days since 1950-01-01T00:00:00Z" ; time:axis = "T" ; short PSAL(time, depth, latitude, longitude) ; PSAL:_FillValue = 32767s ; PSAL:long_name = "Practical salinity" ; PSAL:standard_name = "sea_water_salinity" ; PSAL:units = "PSS-78" ; PSAL:valid_min = -26000s ; PSAL:valid_max = 30000s ; PSAL:add_offset = 30. ; PSAL:scale_factor = 0.001 ; short PSAL_ERR(time, depth, latitude, longitude) ; PSAL_ERR:_FillValue = 32767s ;



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PSAL_ERR:long_name = "Practical salinity Error" ; PSAL_ERR:standard_name = ; PSAL_ERR:units = "PSS-78" ; PSAL_ERR:valid_min = 0s ; PSAL_ERR:valid_max = 15000s ; PSAL_ERR:add_offset = 0. ; PSAL_ERR:scale_factor = 0.001 ; byte PSAL_PCTVAR(time, depth, latitude, longitude) ; PSAL_PCTVAR:_FillValue = 127b ; PSAL_PCTVAR:long_name = "Error on salinity (% variance)" ; PSAL_PCTVAR:standard_name = ; PSAL_PCTVAR:units = "%" ; PSAL_PCTVAR:valid_min = 0. ; PSAL_PCTVAR:valid_max = 100. ; // global attributes: :Conventions = "CF-1.4" ; :title = "Monthly analysis" ; :history = "20200218T163719L : Creation" ; :institution = "IFREMER" ; :project_name = "CORIOLIS" ; :source = "ISAS-V7" ; :analysis_name = "OA_NRTOAGL01_" ; :data_manager = "T.Carval" ; :software_version = "ISAS / POSTOA_main - 7.0" ; :southernmost_latitude = "-77.0105" ; :northernmost_latitude = "89.8963" ; :latitude_resolution = 0.4999937f ; :westernmost_longitude = "-180" ; :easternmost_longitude = "179.5" ; :longitude_resolution = 0.5f ; :start_date = "2015-12-15" ; :stop_date = "2015-12-15" ; :creation_date = "20200218T163719L" ; :reference_date = "1950-01-01T00:00:00Z" ; :references = "Gaillard et al., JCLIM 2016, Doi:10.1175/JCLI-D-15-0028.1 " ; :comment = "..." ; }

V.3.2 netcdf OA_NRTOAGL01_20150115_fld_TEMP {

dimensions: longitude = 720 ; latitude = 545 ; depth = 152 ; time = 1 ; variables: float longitude(longitude) ; longitude:standard_name = "longitude" ; longitude:units = "degree_east" ; longitude:valid_min = -180.f ; longitude:valid_max = 180.f ; longitude:axis = "X" ; float latitude(latitude) ; latitude:standard_name = "latitude" ; latitude:units = "degree_north" ;



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latitude:valid_min = -90.f ; latitude:valid_max = 90.f ; latitude:axis = "Y" ; float depth(depth) ; depth:standard_name = "depth" ; depth:units = "m" ; depth:positive = "down" ; depth:valid_min = 0.f ; depth:valid_max = 12000.f ; depth:axis = "Z" ; float time(time) ; time:standard_name = "time" ; time:units = "days since 1950-01-01T00:00:00Z" ; time:axis = "T" ; short TEMP(time, depth, latitude, longitude) ; TEMP:_FillValue = 32767s ; TEMP:long_name = "Temperature " ; TEMP:standard_name = "sea_water_temperature" ; TEMP:units = "degree_Celsius" ; TEMP:valid_min = -23000s ; TEMP:valid_max = 20000s ; TEMP:add_offset = 20. ; TEMP:scale_factor = 0.001 ; short TEMP_ERR(time, depth, latitude, longitude) ; TEMP_ERR:_FillValue = 32767s ; TEMP_ERR:long_name = "Temperature Error" ; TEMP_ERR:standard_name = ; TEMP_ERR:units = "degree_Celsius" ; TEMP_ERR:valid_min = 0s ; TEMP_ERR:valid_max = 20000s ; TEMP_ERR:add_offset = 0. ; TEMP_ERR:scale_factor = 0.001 ; byte TEMP_PCTVAR(time, depth, latitude, longitude) ; TEMP_PCTVAR:_FillValue = 127b ; TEMP_PCTVAR:long_name = "Error on temperature (% variance)" ; TEMP_PCTVAR:standard_name = ; TEMP_PCTVAR:units = "%" ; TEMP_PCTVAR:valid_min = 0. ; TEMP_PCTVAR:valid_max = 100. ; // global attributes: :Conventions = "CF-1.4" ; :title = "Monthly analysis" ; :history = "20200206T230449L : Creation" ; :institution = "IFREMER" ; :project_name = "CORIOLIS" ; :source = "ISAS-V7" ; :analysis_name = "OA_NRTOAGL01_" ; :data_manager = "T.Carval" ; :software_version = "ISAS / POSTOA_main - 7.0" ; :southernmost_latitude = "-77.0105" ; :northernmost_latitude = "89.8963" ; :latitude_resolution = 0.4999937f ; :westernmost_longitude = "-180" ; :easternmost_longitude = "179.5" ; :longitude_resolution = 0.5f ;



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:start_date = "2015-01-15" ; :stop_date = "2015-01-15" ; :creation_date = "20200206T230449L" ; :reference_date = "1950-01-01T00:00:00Z" ; :references = "Gaillard et al., JCLIM 2016, Doi:10.1175/JCLI-D-15-0028.1 " ; :comment = "..." ; }

V.3.3 netcdf OA_NRTOAGL01_20150115_dat_PSAL {

dimensions: DATE_TIME = 16 ; STRING64 = 64 ; STRING32 = 32 ; STRING16 = 16 ; STRING8 = 8 ; STRING4 = 4 ; STRING2 = 2 ; N_PROF = 43993 ; N_LEVELS = 152 ; variables: char REFERENCE_DATE_TIME(DATE_TIME) ; REFERENCE_DATE_TIME:long_name = "UTC-Date-time of reference for Julian days" ; REFERENCE_DATE_TIME:conventions = "ISO 8601" ; char DATA_TYPE(STRING16) ; DATA_TYPE:long_name = "Data type" ; char PLATFORM_NUMBER(N_PROF, STRING8) ; PLATFORM_NUMBER:long_name = "Float unique identifier" ; PLATFORM_NUMBER:conventions = "WMO float identifier" ; char WMO_INST_TYPE(N_PROF, STRING4) ; WMO_INST_TYPE:long_name = "Coded instrument type" ; WMO_INST_TYPE:conventions = "WMO code table 1770 - instrument type" ; char DC_REFERENCE(N_PROF, STRING32) ; DC_REFERENCE:long_name = "Unique identifier for profile/in data centre, *10+1 for profiles, *10+2 for time_series" ; DC_REFERENCE:conventions = "Data centre convention" ; double JULD(N_PROF) ; JULD:standard_name = "time" ; JULD:long_name = "Julian day (UTC) relative to REFERENCE_DATE_TIME" ; JULD:units = "days since REFERENCE_DATE_TIME" ; JULD:conventions = "Relative julian days with decimal part (as parts of day)" ; double LATITUDE(N_PROF) ; LATITUDE:standard_name = "latitude" ; LATITUDE:long_name = "Latitude of the station, best estimate" ; LATITUDE:units = "degree_north" ; LATITUDE:valid_min = -90. ; LATITUDE:valid_max = 90. ; double LONGITUDE(N_PROF) ; LONGITUDE:standard_name = "longitude" ; LONGITUDE:long_name = "Longitude of the station, best estimate" ; LONGITUDE:units = "degree_east" ; LONGITUDE:valid_min = -180. ; LONGITUDE:valid_max = 180. ; double DEPH(N_LEVELS) ;



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DEPH:standard_name = "depth" ; DEPH:units = "m" ; DEPH:positive = "down" ; DEPH:valid_min = 0. ; DEPH:valid_max = 10000. ; byte PSAL_PROC(N_PROF) ; PSAL_PROC:_FillValue = 127b ; PSAL_PROC:long_name = "profile processing level" ; PSAL_PROC:valid_min = 0. ; PSAL_PROC:valid_max = 5. ; PSAL_PROC:convention = "processing status: 1=raw, 2=ajusted" ; byte PSAL_QC(N_PROF, N_LEVELS) ; PSAL_QC:_FillValue = 127b ; PSAL_QC:long_name = "Quality flag on interpolated variable" ; PSAL_QC:flag_values = " 1b, 2b, 3b, 4b, 5b, 6b, 7b, 8b, 9b " ; PSAL_QC:flag_meanings = "1--4:good_to_acceptable;5:bad_quality_interpolation;6:bad-manual_flag;7--8:not_used;9:not_interpolated;" ; short PSAL(N_PROF, N_LEVELS) ; PSAL:_FillValue = 32767s ; PSAL:long_name = "Practical salinity" ; PSAL:standard_name = "sea_water_salinity" ; PSAL:units = "none" ; PSAL:valid_min = -27000s ; PSAL:valid_max = 30000s ; PSAL:add_offset = 30. ; PSAL:scale_factor = 0.001 ; short PSAL_CLMN(N_PROF, N_LEVELS) ; PSAL_CLMN:_FillValue = 32767s ; PSAL_CLMN:long_name = "Climatology mean for profile" ; PSAL_CLMN:units = "none" ; PSAL_CLMN:valid_min = -27000s ; PSAL_CLMN:valid_max = 30000s ; PSAL_CLMN:add_offset = 30. ; PSAL_CLMN:scale_factor = 0.001 ; short PSAL_CLSD(N_PROF, N_LEVELS) ; PSAL_CLSD:_FillValue = 32767s ; PSAL_CLSD:long_name = "Climatology standard deviation for profile" ; PSAL_CLSD:units = "none" ; PSAL_CLSD:valid_min = 1s ; PSAL_CLSD:valid_max = 10000s ; PSAL_CLSD:add_offset = 0. ; PSAL_CLSD:scale_factor = 0.001 ; short PSAL_ERME(N_PROF, N_LEVELS) ; PSAL_ERME:_FillValue = 32767s ; PSAL_ERME:long_name = "Measurement error" ; PSAL_ERME:units = "none" ; PSAL_ERME:valid_min = 1s ; PSAL_ERME:valid_max = 10000s ; PSAL_ERME:add_offset = 0. ; PSAL_ERME:scale_factor = 0.001 ; short PSAL_ERUR(N_PROF, N_LEVELS) ; PSAL_ERUR:_FillValue = 32767s ; PSAL_ERUR:long_name = "Error from unresolved scales" ; PSAL_ERUR:units = "none" ; PSAL_ERUR:valid_min = 1s ;



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PSAL_ERUR:valid_max = 10000s ; PSAL_ERUR:add_offset = 0. ; PSAL_ERUR:scale_factor = 0.001 ; int PSAL_RESI(N_PROF, N_LEVELS) ; PSAL_RESI:_FillValue = 2147483647 ; PSAL_RESI:long_name = "Residual" ; PSAL_RESI:units = "none" ; PSAL_RESI:valid_min = -20000s ; PSAL_RESI:valid_max = 20000s ; PSAL_RESI:add_offset = 0. ; PSAL_RESI:scale_factor = 0.001 ; // global attributes: :Conventions = "CF-1.4" ; :title = "Global Ocean near real time in-situ observations objective analysis" ; :institution = "IFREMER" ; :project_name = "CORIOLIS" ; :source = "ISAS-V7" ; :data_manager = "T.Carval" ; :software_version = "ISAS / POSTOA_main - 7.0" ; :references = "Gaillard et al., JCLIM 2016, Doi:10.1175/JCLI-D-15-0028.1 " ; :history = "20200207T001909L : Creation" ; }

V.3.4 netcdf OA_NRTOAGL01_20150115_dat_TEMP {

dimensions: DATE_TIME = 16 ; STRING64 = 64 ; STRING32 = 32 ; STRING16 = 16 ; STRING8 = 8 ; STRING4 = 4 ; STRING2 = 2 ; N_PROF = 45955 ; N_LEVELS = 152 ; variables: char REFERENCE_DATE_TIME(DATE_TIME) ; REFERENCE_DATE_TIME:long_name = "UTC-Date-time of reference for Julian days" ; REFERENCE_DATE_TIME:conventions = "ISO 8601" ; char DATA_TYPE(STRING16) ; DATA_TYPE:long_name = "Data type" ; char PLATFORM_NUMBER(N_PROF, STRING8) ; PLATFORM_NUMBER:long_name = "Float unique identifier" ; PLATFORM_NUMBER:conventions = "WMO float identifier" ; char WMO_INST_TYPE(N_PROF, STRING4) ; WMO_INST_TYPE:long_name = "Coded instrument type" ; WMO_INST_TYPE:conventions = "WMO code table 1770 - instrument type" ; char DC_REFERENCE(N_PROF, STRING32) ; DC_REFERENCE:long_name = "Unique identifier for profile/in data centre, *10+1 for profiles, *10+2 for time_series" ; DC_REFERENCE:conventions = "Data centre convention" ; double JULD(N_PROF) ; JULD:standard_name = "time" ;



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Issue : 1.6


JULD:long_name = "Julian day (UTC) relative to REFERENCE_DATE_TIME" ; JULD:units = "days since REFERENCE_DATE_TIME" ; JULD:conventions = "Relative julian days with decimal part (as parts of day)" ; double LATITUDE(N_PROF) ; LATITUDE:standard_name = "latitude" ; LATITUDE:long_name = "Latitude of the station, best estimate" ; LATITUDE:units = "degree_north" ; LATITUDE:valid_min = -90. ; LATITUDE:valid_max = 90. ; double LONGITUDE(N_PROF) ; LONGITUDE:standard_name = "longitude" ; LONGITUDE:long_name = "Longitude of the station, best estimate" ; LONGITUDE:units = "degree_east" ; LONGITUDE:valid_min = -180. ; LONGITUDE:valid_max = 180. ; double DEPH(N_LEVELS) ; DEPH:standard_name = "depth" ; DEPH:units = "m" ; DEPH:positive = "down" ; DEPH:valid_min = 0. ; DEPH:valid_max = 10000. ; byte TEMP_PROC(N_PROF) ; TEMP_PROC:_FillValue = 127b ; TEMP_PROC:long_name = "profile processing level" ; TEMP_PROC:valid_min = 0. ; TEMP_PROC:valid_max = 5. ; TEMP_PROC:convention = "processing status: 1=raw, 2=ajusted" ; byte TEMP_QC(N_PROF, N_LEVELS) ; TEMP_QC:_FillValue = 127b ; TEMP_QC:long_name = "Quality flag on interpolated variable" ; TEMP_QC:flag_values = " 1b, 2b, 3b, 4b, 5b, 6b, 7b, 8b, 9b " ; TEMP_QC:flag_meanings = "1--4:good_to_acceptable;5:bad_quality_interpolation;6:bad-manual_flag;7--8:not_used;9:not_interpolated;" ; short TEMP(N_PROF, N_LEVELS) ; TEMP:_FillValue = 32767s ; TEMP:long_name = "Temperature (T90) (interpolated on Z_levels)" ; TEMP:standard_name = "sea_water_temperature" ; TEMP:units = "degree_Celsius" ; TEMP:valid_min = -23000s ; TEMP:valid_max = 20000s ; TEMP:add_offset = 20. ; TEMP:scale_factor = 0.001 ; short TEMP_CLMN(N_PROF, N_LEVELS) ; TEMP_CLMN:_FillValue = 32767s ; TEMP_CLMN:long_name = "Climatology mean for profile" ; TEMP_CLMN:units = "degree_Celsius" ; TEMP_CLMN:valid_min = -23000s ; TEMP_CLMN:valid_max = 20000s ; TEMP_CLMN:add_offset = 20. ; TEMP_CLMN:scale_factor = 0.001 ; short TEMP_CLSD(N_PROF, N_LEVELS) ; TEMP_CLSD:_FillValue = 32767s ; TEMP_CLSD:long_name = "Climatology standard deviation for profile" ; TEMP_CLSD:units = "degree_Celsius" ; TEMP_CLSD:valid_min = 1s ;



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Issue : 1.6


TEMP_CLSD:valid_max = 10000s ; TEMP_CLSD:add_offset = 0. ; TEMP_CLSD:scale_factor = 0.001 ; short TEMP_ERME(N_PROF, N_LEVELS) ; TEMP_ERME:_FillValue = 32767s ; TEMP_ERME:long_name = "Measurement error" ; TEMP_ERME:units = "degree_Celsius" ; TEMP_ERME:valid_min = 1s ; TEMP_ERME:valid_max = 10000s ; TEMP_ERME:add_offset = 0. ; TEMP_ERME:scale_factor = 0.001 ; short TEMP_ERUR(N_PROF, N_LEVELS) ; TEMP_ERUR:_FillValue = 32767s ; TEMP_ERUR:long_name = "Error from unresolved scales" ; TEMP_ERUR:units = "degree_Celsius" ; TEMP_ERUR:valid_min = 1s ; TEMP_ERUR:valid_max = 10000s ; TEMP_ERUR:add_offset = 0. ; TEMP_ERUR:scale_factor = 0.001 ; int TEMP_RESI(N_PROF, N_LEVELS) ; TEMP_RESI:_FillValue = 2147483647 ; TEMP_RESI:long_name = "Residual" ; TEMP_RESI:units = "degree_Celsius" ; TEMP_RESI:valid_min = -20000s ; TEMP_RESI:valid_max = 20000s ; TEMP_RESI:add_offset = 0. ; TEMP_RESI:scale_factor = 0.001 ; // global attributes: :Conventions = "CF-1.4" ; :title = "Global Ocean near real time in-situ observations objective analysis" ; :institution = "IFREMER" ; :project_name = "CORIOLIS" ; :source = "ISAS-V7" ; :data_manager = "T.Carval" ; :software_version = "ISAS / POSTOA_main - 7.0" ; :references = "Gaillard et al., JCLIM 2016, Doi:10.1175/JCLI-D-15-0028.1 " ; :history = "20200206T230409L : Creation" ; }



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Issue : 1.6


VI REFERENCES

Szekely T, Gourrion J, Pouliquen S, Reverdin G. 2019. The CORA 5.2 dataset: global in-situ temperature and salinity measurements dataset. Data description and validation. Ocean Science Discussion. DOI:10.5194/os-2018-144

Cabanes C, Grouazel A, von Schuckmann K, Hamon M, Turpin V, Coatanoan C, Paris F,Guinehut S, Boone, C,Ferry N, de Boyer Montégut C, Carval T, Reverdin G, Pouliquen S, Le Traon, P.-Y. 2013. The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements. Ocean Science. DOI:10.5194/os-9-1-2013

Gaillard F. 2012. ISAS-Tool Version 6: Method et configuration. DOI:10.13155/22583

Gaillard F, Reynaud T, Thierry V, Kolodziejczyk N, Von Schuckmann K (2016). In-situ based reanalysis of the global ocean temperature and salinity with ISAS: variability of the heat content and steric height. Journal Of Climate, 29(4), 1305-1323. Publisher's official version: DOI:10.1175/JCLI-D-15- 0028.1 , Open Access version: archimer/doc/00309/42030/

https://doi.org/10.5194/os-2018-144

https://doi.org/10.5194/os-9-1-2013

http://dx.doi.org/10.13155/22583

doi:10.1175/JCLI-D-15-0028.1

https://archimer.ifremer.fr/doc/00309/42030/

INSITU GLO TS OA REP OBSERVATIONS 013 002 b INSITU GLO … · PUM for Objective Analysis Products...

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