Contributors: G. Taburet (CLS), F. Mertz (CLS), J.-F. Legeais (CLS)
Issued by: CLS / G. Taburet, F. Mertz and J.-F. Legeais
Date:
Ref: WP2-FDDP-2022-09_C3S2-Lot3_PUGS-of-vDT2021-SeaLevel-products_v1.5
Official reference number service contract: 2022/C3S2_312b_MOi/SC1
Please cite this document as "Taburet et al. (2024) C3S Sea Level vDT2021: Product User Guide and Specifications. Issue 1.5. E.U. Copernicus Climate Change Service. Document ref. WP2-FDDP-2022-09_C3S2-Lot3_PUGS-of-vDT2021-SeaLevel-products_v1.5.
1. Preamble
1.1. History of modifications
1.2. List of datasets covered by this document
The present document applies to the C3S altimeter sea level Climate Data Record (CDR) and the following temporal extensions (Interim CDR). The current version corresponds to the reprocessed DUACS Delayed-Time vDT2021 products.
1.3. Related documents
1.4. Acronyms
1.5. General definitions
2. Scope of the document
This document is the Product User Guide and Specification (PUGS) document for Version DT2021 sea level products, distributed through the Copernicus Climate Change Service (C3S). This document has been developed within the frame of the 2018/C3S_312b_Lot3_CLS/SC2 contract. It provides the end user with practical information regarding the use of these products.
3. Executive summary
The current version of the C3S sea level product is the DUACS vDT2021 reprocessed delayed-time altimeter sea level products. It benefits from several advances over the previous version. They include:
- New L2P altimeter standards following expert recommendations (Lievin et al., 2020) and (Kocha et al., 2023) for measurements after 2023/06/08
- Improved editing for L3 product for mapping
- More precise definition of the error budgets associated with the different altimeter measurements for the Optimal Interpolation process
This Product User Guide and Specification explains the basic altimetry principles that allow the computation of the altimeter sea level product, and provides a brief description of the associated production system. The details of the input data are provided, including their origin. The technical characteristics of each altimeter mission used in the production system are described, as well as the level 2 altimeter algorithms (geophysical standards and orbit solutions). An empirical correction of the TOPEX-A instrumental drift observed during 1993-1998 is included in the data files. The characteristics of the satellite constellation are described, and the principle of the sea level mapping procedure is provided. Finally, the product characteristics are described (format, nomenclature and data handling variables) and a description of the file content is provided in the Annex.
4. Product description
The sea level products distributed through the Copernicus Climate Change Service (C3S) comprise:
- a time series of daily gridded Sea Surface Height and derived variables obtained by merging measurements from two altimetry satellites. It is generated by the DUACS processing system and includes data from several altimetry missions.
- a time series of monthly gridded Sea Surface Height and derived variables obtained by computing monthly means of daily product.
The sea level products have coverage of the global ocean.
The C3S product mainly focuses on the retrieval of the long-term variability of the ocean, which is only obtained using a stable altimeter constellation and homogeneous corrections and standards in time. One way to address the later constraints is to use a two-satellite constellation throughout the entire altimeter period (see 4.2.2).
The present document refers to the C3S altimeter sea level Climate Data Record (CDR) and the following temporal extensions (Interim CDR). The current version corresponds to the reprocessed DUACS Delayed-Time vDT2021 product.
4.1. Common variables in Altimetry
Altimetry gives access to the Sea Surface Height (SSH) above the reference ellipsoid (see Figure 1) as in Eq (1):
The Mean Sea Surface (MSSN) in Eq (2) is the temporal mean of the SSH over a period N. It is a mean surface above the reference ellipsoid and it includes the Geoid.
The Sea Level Anomaly (SLAN) in Eq (3) is the anomaly of the signal around the mean component. It is deduced from the SSH and MSSN :
The Mean Dynamic Topography (MDTN) in Eq (4) is the temporal mean of the SSH above the Geoid over a period N.
The Absolute Dynamic Topography (ADT) in Eq (5) is the instantaneous height above the Geoid. The geoid is a gravity equipotential surface that would correspond to the ocean surface if the ocean was at rest (i.e. without any currents and only under the gravity field). When the ocean is influenced by wind, differential heating and precipitation, and other sources of energy, the ocean surface moves away from the geoid. Thus, the departure from the geoid provides information on ocean dynamics.
The ADT is the sum of the SLAN and MDTN:
The reference period N considered can be changed as described in Pujol et al (2016).
Figure 1: Different concepts of sea surface height used in altimetry.
4.1.1. Variables in the daily sea level product
The variables disseminated to users as part of the C3S sea level product, are the Sea Level Anomalies (variable name in netcdf: 'sla'), Absolute Dynamic Topography (variable name in netcdf: 'adt'), formal mapping error from sla (variable name in netcdf: 'err_sla'), the geostrophic velocities anomalies (variable names in netcdf: 'ugosa' and 'vgosa'), the formal mapping error on zonal/meridional velocity anomalies (variable names in netcdf: 'err_ugosa' and 'err_vgosa') and the absolute geostrophic velocities (variable names in netcdf: 'ugos' and 'vgos').
Geostrophic current1 datasets are also disseminated to users as part of the C3S sea level product, and are generated from the SLAs and the ADTs. It is computed using a nine-point stencil width methodology (Arbic et al., 2012) for latitudes outside the 5°S/5°N band. In the equatorial band, the Lagerloef methodology (Lagerloef et al., 1999) is used. A specific variable is also available (variable name in netcdf: 'tpa_correction') and can be added to the SLA to correct for the observed instrumental drift during the lifetime of the TOPEX-A mission (the correction is null after this period). See Section 4.2.1 for more details.
A variable (variable name in netcdf: 'flag_ice') has been added to flag data using OSI SAF CDR sea ice concentration products (OSI-450) until 2016 and ICDR sea ice concentration (OSI-430-b) from 2016 (also distributed in the Climate Data Store, more info in Lavergne et al., 2019). The flag corresponds to the limit of 15% in sea ice concentration.
4.1.2. Variables in the monthly sea level product
The variables disseminated to users are the Sea Level Anomalies (variable name in netcdf: ‘sla’) and the Eddy Kinetic Energy issued from the geostrophic velocities anomalies (variable name in netcdf: ‘eke’). It is computed using Eq (6):
4.2. Processing
The Delayed-Time DUACS component maintains a consistent and user-friendly altimeter database using state-of-the-art recommendations from the altimetry community.
The processing sequences can be divided into the following main steps (fully described in [C3S_ATBD]):
- Data acquisition
- Input data quality control
- Intercalibrate and unify
- Along-track products generation
- Gridded merged products generation
- Final quality control
4.2.1. Input data and corrections
The altimeter measurements used to compute the C3S sea level product consist of Level-2 products from different missions called Delayed-Time Geophysical Data Records (GDR) or Non Time Critical (NTC) products. Details of the different L2 altimeter products sources and delay of availability are given in Table 1.
Table 1: Source and delay of availability of the different altimeter data used as input to the DUACS system.
Altimeter mission | Type of product | Source | Availability delay |
Sentinel-6 MF | NTC | EUMETSAT | ~1 month |
Sentinel-3A | NTC | EUMETSAT | ~1 month |
Jason-3 | GDR | CNES/EUMETSAT | Reprocessing only |
OSTM/Jason-2 | GDR | CNES | Reprocessing only |
CryoSat-2 | GDR | ESA | Reprocessing only |
SARAL/AltiKa | GDR | CNES | Reprocessing only |
Topex/Poseidon | GDR | CNES | Reprocessing only |
Jason-1 | GDR | CNES | Reprocessing only |
Envisat | GDR | ESA | Reprocessing only |
ERS-1 | GDR | ESA | Reprocessing only |
ERS-2 | GDR | ESA | Reprocessing only |
The auxiliary products (altimeter standards, geophysical corrections) used in the production are described in Table 2. They are the most up-to-date standards (whose timeliness is compatible with the C3S production planning) and most of them follow the recommendations of the ESA Sea Level CCI project (Quartly et al. 2017; Legeais et al., 2018). More details on the description of these standards can be found in Lievin et al., 2020 and in Kocha et al., 2023 for measurements after 2023/06/08 (in bold in the table).
May 2024 : temporal extension in interim mode (measurements after 2023/06/08)
In May 2024, a temporal extension of the MY DT-2021 series was made available. It differs from previous ones by a change in the altimetric standards and geophysical corrections used in the processing. Indeed, in preparation for an upcoming complete reprocessing of the series, the upstream data are now available in the DT-2024 standards described by (Kocha et al., 2023). These changes mainly consist of:
- A new L2 product version for Sentinel-3A (BC005) and Sentinel-6A (FC09), including improved retracking and associated Sea State bias correction
- The use of the new ocean-tide correction FES22
- The use of the new Mean Sea Surface combining the SIO22; CNES_CLS_22 and DTU21 versions for the geodetic missions and Sentinel-3B
They are described in the Table 2. The use of the new standards contributes to improve the quality of the SLA field and derivates. They induce few regional biases (order of millimetre at regional scales) which are smoothed by the L3/L4 processing for a seamless transition for users and ensure the continuity of the sea level at regional scales.
Table 2: Altimeter standards used in the C3S sea level vDT2021 product as described in Lievin et al., 2020. and in bold as described in Kocha et al., 2023
.
Poseidon Topex | Jason-1 | OSTM/Jason-2 | Jason-3 | ERS-1 | ERS-2 | Envisat | Cryosat-2 | SARAL AltiKa | Sentinel-3A | Sentinel-6 MF | |
Orbit | GSFC STD18 | POE-E | POE-F | POE-F | Reaper | POE-E | POE-F | POE-F | POE-F | POE | |
Ionospheric Correction | Filtered dual-frequency altimeter range measurements [Guibbaud et al. 2015]; DORIS on Poseidon | Filtered dual-frequency altimeter range [Guibbaud et al. 2015] (from SSB C-band) | Filtered dual-frequency altimeter from [Guibbaud et al. 2015] & c> 170 from L2 GDRF | Reaper NIC09 model [Scharroo and Smith, 2010] | GIM [Ijima et al., 1999] | Filtered from L2; c>65: GIM [Ijima et al., 1999] corrected for 8mm bias | GIM [Ijima et al., 1999] | Filtered from L2 | L2 Filtered dual frequency | ||
Sea State Bias | Non parametric [Tran et al. 2010] ; BM4 on Poseidon | Non parametric [Tran 2015] | Non parametric [ Tran 2012] | Non parametric from J2 [ Tran 2012] & c>170 from [Tran 2020 report] J3 GDRF | BM3 [Gaspar and Ogor, 1994] | Non parametric [Mertz et al., 2005] | Non parametric [ Tran 2017] | Non parametric [ Tran 2018] Baseline C | Non parametric [ Tran 2018] | Non parametric [ Tran 2012] | Non parametric SSB [Tran 2021] from J3 GDR |
Wet Troposphere | GPD+ [Fernandes and Lazaro, 2015] | JMR (GDRE) radiometer | AMR radiometer | AMR radiometer (c>170 from L2 GDRF) | GPD+ [Fernandes and Lazaro, 2015] | MWR radiometer reprocessed | GPD+ [Fernandes and Lazaro, 2015] | Neural Network (5 entries) V4 | MWR 3 radiometer | MWR radiometer | |
Dry Troposphere | ERA5 (1-hour) model based | ||||||||||
Dynamical Atmospheric Correction | TUGO High frequencies forced with analysed ERA5 pressure and wind field + inverse barometer Low frequencies | TUGO HF forced with analysed ERA 5 pressure an d wind field; and after 02/2016 MOG2D HF forced with analysed ECMWF pressure and wind field + inverse barometer Low Frequencies | MOG2D HF forced with analysed ECM WF pressure and wind [Carrere and Lyard, 2003; operational version 3.2.0] + inverse barometer Low Frequencies | TUGO High frequencies forced with analysed ERA5 pressure and wind field + inverse barometer Low frequencies | TUGO High frequencies forced with analysed ERA5 pressure and wind field; and after 02/2016 MOG2D High frequencies forced with analysed ECMWF pressure and wind field + inverse barometer Low frequencies | TUGO HF forced with analysed ERA5 pressure an d wind field; and after 02/2016 MOG2D HF forced with analysed ECMWF pressure and wind field + inverse barometer Low Frequencies | Before 2023/06/07: MOG2D High frequencies forced with analysed ECMWF pressure and wind field [Carrere and Lyard, 2003; operational version 3.2.0] + inverse barometer Low frequencies After 2023/06/08: TUGO High frequencies forced with analysed ECMWF pressure and wind field + inverse barometer LF | ||||
Ocean Tide | Before 2023/06/07: FES 2014 B [Carrère et al. 2016]; after 2023/06/08: FES22b [Carrère et al., 2023] | ||||||||||
Internal Tide | Zaron 2019 (HRETv8.1 tidal frequencies: M2, K1, S2, O1) | ||||||||||
Pole Tide | Desai et al., 2015 ; Mean Pole Location 2017 | ||||||||||
Solid Tide | Elastic response to tidal potential [Cartwright and Tayler, 1971; Cartwright and Edden, 1973] | ||||||||||
Mean Sea Surface | Before 2023/06/07: Hybrid (SIO,CNES/CLS15,DTU15) [Sandwell et al.,2017 ; Ole et al.; Pujol et al.,2018]; after 2023/06/08: Hybrid MSS (SIO22; CNES/CLS22, DTU21) [Laloue et al., 2024] | ||||||||||
Mean Dynamic Topography | CNES_CLS18 (Mulet et al, 2021) combined with CMEMS_2020 | ||||||||||
Glacial Isostatic Adjustment (GIA) | The DUACS L4 products are not corrected from GIA effects |
Warning:
Between 1993 and 1998, the retrievals of global mean sea level (MSL) have been known to be affected by an instrumental drift in the TOPEX-A measurements, which has been quantified by several studies as discussed in the C3S Product Quality Assessment Report ([C3S_PQAR], section 3.2) and in Legeais et al. (2020). The altimeter sea level community agrees that it is necessary to correct the TOPEX-A record for the instrumental drift to improve the accuracy and the uncertainty of the total sea level record. An empirical correction of this drift based on a global comparison between altimetry and _in situ_ tide gauge measurements (WCRP sea level budget group, 2018) has been proposed in the data files. The correction value included in the dedicated variable can be added to the gridded SLA, to correct for the observed instrumental drift during the lifetime of the TOPEX-A mission (the correction is null after this period). This is a global correction to be added a posteriori (and not before) to the global mean sea level estimate derived from the gridded sea level data. It can be applied at regional or local scales as a best estimate (better than no correction, since the regional variation of the instrumental drift is unknown).
However, even if the corrections proposed by the different studies available lead to similar global MSL trends and accelerations (in agreement with climate models), there is not yet a consensus on the best approach to estimate the drift correction at global and regional scales. The recommendation of the Ocean Surface Topography Science Team (OSTST) is to wait for the future release of a reprocessed TOPEX dataset. Therefore, the TOPEX-A correction has been proposed as a separate variable within the C3S sea level data files vDT2021 (and not directly included in the SLA estimate). See the sea level Product Quality Assessment Report [C3S_PQAR] for further details.
4.2.2. Altimetry constellation
The complete altimetry satellite constellation used in the C3S sea level product is illustrated in Figure 2.
Figure 2: Overview of the L2P products (input for DUACS system) availability period for each altimetric mission.
The C3S sea level altimeter product is based on a satellite constellation with a stable number of altimeters in order to ensure the long-term stability of the ocean observation system. The different altimeter satellites included in the product are the reference missions and the complementary missions as well as missions of opportunity, as illustrated in Figure 3 and described below:
- the reference missions are the TOPEX/Poseidon, Jason-1, Jason-2, Jason-3 and Sentinel-6MF, which have been successively introduced into the production system. These missions are essential for the computation of the long- term trend of the MSL since they are used to wedge complementary missions in terms of sea level drift. Sentinel-6MF is the current reference mission used in the system and it has replaced Jason-3 in February 2022.
- the complementary missions provide additional information for the estimation of mesoscale signal variabilities (>200-300 km) and also increase the observing capacity at high latitudes, which is of great interest for climate. The missions that have successively been included in the C3S product are ERS-1, ERS-2, Envisat, SARAL/Altika and presently Sentinel-3A. Note that the ERS-1 mission was operated in an ice phase (phase D) from 21/12/1993 to 10/04/1994; no ERS-1 altimeter measurements have been used as input to the sea level production system during this period. As no other altimeter data are available, this means that the C3S product is based on TOPEX/Poseidon data only during this 3.5-month period. During the following two successive geodetic phases (phase E, 10/04/1994 – 28/09/1994 and phase F, 28/09/1994 – 21/03/1995), the changes to the ERS-1 mission operations (declared as a new mission: ERS-1 geodetic) have been taken into account in sea level data production.
- In addition, after the loss of the Envisat mission in April 2012, only the opportunity CryoSat-2 mission has been available. Thus, this opportunity mission was included in the C3S product until SARAL/AltiKa delayed-time measurements become available in March 2013.
Figure 3: Satellite constellation in the C3S time series.
Note that the information about the satellites used to compute each map is given in the global attribute "platform" of each file. The use of such a constant number in the satellite constellation contributes to ensuring the long- term Mean Sea Level (MSL) stability, which is not the case when using all satellites available throughout the altimeter period (see section 3.1 of [C3S_PQAR]).
4.2.3. Gridded merged product generation
The gridded merged product is based on the along-track altimeter measurements, which have undergone several processing steps, (as described in detail in [C3S_ATBD]). First of all, global and regional inter-mission biases are removed. Then, the along-track measurements are cross-calibrated following Le Traon and Ogor (1998), which allows for the reduction of the long wavelength errors (LWE) and also considers geographically-correlated errors. Along-track high frequency aliased signals are also removed. In addition, the data are filtered (Dufau et al., 2016) with 65km cut-off length low-pass filtering. The along-track measurements are also subsampled for the mapping procedure, keeping one along-track point out of two. All the details are described in section 3.6 of [C3S_ATBD], in Taburet et al. (2019) and Pujol et al (2016). These procedures ensure the long-term stability of the sea level record. An optimal interpolation method is used for the mapping procedure following Ducet et al. (2000) and Le Traon et al. (2003). This ensures mesoscale signal reconstruction. The parameters used for the mapping procedure are a compromise between the characteristics of the physical field to be focused on, and the sampling capabilities associated with the altimeter constellation.
4.2.4. Mean and reference period
The along-track and gridded sea surface heights (sea level anomalies and absolute dynamic topography) are computed with respect to a 20-year reference period (1993-2012). In addition to the reference period, a mean reference convention has been adopted in the DUACS products: the sea level time series has been arbitrarily referenced so that the mean sea level averaged during the year 1993 is set to zero (see Figure 4). This convention explains why the DUACS global mean SLA during the reference period (1993-2012) is different from zero. The obtained value (about 2.5cm without a Glacial Isostatic Adjustment (GIA) correction) is directly related to global sea level rise (see Figure 4, right). The most recently calculated Global Mean Sea Level (1993 to end of 2021) is displayed in Figure 5.
Note that the proposed correction of the TOPEX-A instrumental drift has been chosen so that the correction is null after the end of the lifetime of the TOPEX mission in 1999 (dashed line in Figure 4 and in Figure 5). With this approach, the corrected Global MSL does not equal to zero in 1993. This approach is the preferred approach to ensure the continuity of the initial and corrected GMSL after 1999 (e.g. for ocean modellers).
Figure 4: Left: Averaged map of sea level anomalies during the year 1993. The global mean for the year 1993 is -0.0007m and can be considered as a zero mean. Right: Global mean sea level progression during the period 1993-2012 (without GIA correction) deduced from DUACS L4 gridded products. The dashed line represents the sea level time-series corrected for the TOPEX-A instrumental drift (between 1993-1998). The horizontal line indicates the value of the globally averaged SLA (not corrected for the TOPEX-A drift) during the reference period (1993-2012).
Figure 5: Global mean sea level progression for the period 1993-2021 (without GIA correction) deduced from DUACS L4 gridded products. The dashed line represents the sea level time-series corrected for the TOPEX-A instrumental drift (between 1993-1998).
5. Specifications and target requirements
5.1. Spatial and temporal coverage
The daily time series begins on 01/01/1993. The time series benefits from regular temporal extensions approximately 3 times per year (ICDR production), and the timeliness of the product is of 5 months at the minimum. Such a delay depends on:
- The input data availability (see section 4.2.1)
- The production algorithms (centred temporal windows, [C3S_SQAD])
- The time required for the computation and validation processes.
The time delay can be longer in cases of missing altimeter measurements from a mission, or a longer than usual validation process for instance.
The characteristics of the different missions used in the C3S sea level product are described in Table 3.
Table 3: Characteristics and time availability of the different altimeter data used in input of DUACS system.
Altimeter mission | Cycle duration (days) | Latitude range (°N) | Number of tracks in the cycle | Inter-track distance at equator (km) | Sun- synchron ous | Dual- frequency Altimeter | Radiometer on board | Temporal period processed by DUACS system for C3S product | |
Begin date | End date | ||||||||
Topex/Poseidon | 10 | ±66 | 254 | ~315 | No | Yes | Yes | 1992/11/20 | 2002/04/24 |
Jason-1 | 10 | ±66 | 254 | ~315 | No | Yes | Yes | 2002/04/24 | 2008/10/19 |
OSTM/Jason-2 | 10 | ±66 | 254 | ~315 | No | Yes | Yes | 2008/10/19 | 2016/05/26 |
Jason-3 | 10 | ±66 | 254 | ~315 | No | Yes | Yes | 2016/05/26 | 2022/02/10 |
ERS-1 | 35 | ±81.5 | 1002 | ~80 | Yes | Yes | Yes | 1992/11/20* | 1995/05/15 |
ERS-1 Geodetic | 168 | - | 1994/04/10 | 1995/03/21 | |||||
ERS-2 | 35 | ±81.5 | 1002 | ~80 | Yes | Yes | Yes | 1995/05/15 | 2002/05/14 |
Envisat | 35 | ±81.5 | 1002 | ~80 | Yes (S-band | 2002/05/14 | 2010/10/18 | ||
Envisat-New Orbit | 30 | ±81.5 | 862 | - | Yes | lost after cycle 65) | Yes | 2010/10/26 | 2012/04/08 |
Cryosat-2 | 29 (sub cycle) | ±88 | 840 | ~98 | No | No | No | 2012/04/08 | 2013/03/14 |
SARAL/AltiKa | 35 | ±81.5 | 1002 | ~80 | Yes | No | Yes | 2013/03/14 | 2016/03/20 |
Sentinel-3A | 27 | ±81.5 | 770 | ~100 | Yes | Yes | Yes | 2016/03/20 | On-going |
Sentinel-6 MF | 10 | ±66 | 254 | ~315 | No | Yes | Yes | 2022/02/10 | On-going |
The user and service requirements related to the sea level ECV product are described in detail in [C3S_TRD]. The characteristics (spatial and temporal coverage) listed in the above table are in agreement with these target requirements. The [C3S_TRD] document also includes a gap analysis, describing what could be achieved to better answer the user's needs so that the sea level product remains relevant and up-to-date.
5.2. Validation and uncertainty estimates
Validation activities are carried out to assess the quality of the product. The validation method is described in the Product Quality Assurance Document [C3S_PQAD] and details of the validation results are provided in the Product Quality Assessment Report [C3S_PQAR].
The description of the altimeter errors and characterization of the uncertainties are available in [C3S_PQAR].
6. Data usage information
6.1. Grid characteristics
The product is delivered in a Cartesian grid with the coverage definition detailed in the table below:
Table 4: Coverage definition of the cartesian grid.
Area | Latitude coverage | Longitude coverage |
Global Ocean | 90°S/90°N | 0°/360° |
Note that the latitudinal coverage of the maps depends on the ice coverage and nominally reaches 82° of latitude (except for data from CryoSat-2) because of the orbital inclination of the satellites. When no measurement is available (at higher latitudes or over the continents), the grid is filled with the default '_FillValue'.
Note that the values taken into account to generate a map are ocean values. The mapping process (see section 4.2.3) computes some slight extrapolation to the coasts. This avoids the production of gaps in the data that can occur near the coast, and it also allows for a more precise computation of velocities.
6.2. Format
The product is stored and delivered to users using the NetCDF (Network Common Data Form) using CF (Climate and Forecast) Metadata convention.
6.3. File nomenclature
6.3.1. Daily product
The nomenclature of the file is the following:
dt_global_twosat_phy_l4_<DateMap>_vDT2021.nc
where:
<DateMap>=the date of the map in the form YYYYMMDD
6.3.2. Monthly product
The nomenclature of the file is the following:
dt_global_twosat_phy_l4_<MonthMap>_vDT2021-M01.nc
where:
<MonthMap>=the month of the map in the form YYYYM
6.4. Data Handling Variables
6.4.1. Daily sea level product
4 dimensions are defined:
- time
- latitude
- longitude
- nv (useful for grid definition)
The variables are listed in Table 5:
Table 5: Variables of the daily sea level product.
Type | Name | Content | Unit | Scale Factor |
float | time(time) | Time of measurement | days since 1950-01-01 | none |
float | latitude(latitude) | Latitude of measurement | degrees_north | none |
float | longitude(longitude) | Longitude of measurement | degrees_east | none |
float | lat_bnds (latitude,nv) | latitude values at the north and south bounds of each pixel. | degrees_north | none |
float | lon_bnds(longitude,nv) | longitude values at the west and east bounds of each pixel. | degrees_east | none |
int | nv(nv) | Useful for grid definition | none | none |
int | crs | Describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinates system. | none | none |
int | sla(time,latitude,longitude) | Sea level Anomaly | meters | 10-4 |
int | err_sla(time,latitude,longitude) | Formal mapping error | meters | 10-4 |
int | ugosa(time,latitude,longitude) | Geostrophic velocity anomalies: eastward zonal component | m/s | 10-4 |
int | vgosa(time,latitude,longitude) | Geostrophic velocity anomalies: northward meridian component | m/s | 10-4 |
int | err_ugosa(time,latitude,longitude) | Formal mapping error on zonal velocity anomalies | m/s | 10-4 |
int | err_vgosa(time,latitude,longitude) | Formal mapping error on meridional velocity anomalies | m/s | 10-4 |
int | adt(time,latitude,longitude) | Absolute dynamic topography | meters | 10-4 |
int | ugos(time,latitude,longitude) | Absolute geostrophic velocity: eastward zonal component | m/s | 10-4 |
int | vgos(time,latitude,longitude) | Absolute geostrophic velocity: northward meridian component | m/s | 10-4 |
int | tpa_correction | TOPEX-A instrumental drift correction derived from altimetry and tide gauges global comparisons | m | 10-4 |
int | flag_ice | Ice Flag based on CDR OSI-SAF products until 2016 (OSI-450), Interim products from 2016 (OSI- 430-b) | - | 10-4 |
6.4.2. Monthly sea level product
4 dimensions are defined:
- time
- latitude
- longitude
- nv (useful for grid definition)
The variables are listed in Table 6:
Table 6: Variables of the monthly sea level product.
Type | Name | Content | Unit | Scale Factor |
float | time(time) | Time of measurement | days since 1950-01-01 | none |
float | latitude(latitude) | Latitude of measurement | degrees_north | none |
float | longitude(longitude) | Longitude of measurement | degrees_east | none |
float | lat_bnds (latitude,nv) | latitude values at the north and south bounds of each pixel. | degrees_north | none |
float | lon_bnds(longitude,nv) | longitude values at the west and east bounds of each pixel. | degrees_east | none |
float | climatology_bnds(time,nv) | Useful for grid definition | meters | |
int | nv(nv) | Useful for grid definition | none | none |
int | crs | Describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinates system. | none | none |
int | sla(time,latitude,longitude) | Sea level Anomaly | meters | 10-4 |
int | eke(time,latitude,longitude) | Eddy Kinetic Energy | cm2/s2 | 10-4 |
7. Appendix A - Specifications of the daily sea level product
8. Appendix B - Specifications of the monthly sea level product
9. References
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