Live Chat
Welcome to the ESA Earth Observation Framework (EOF) website! If you have any questions about EOF, I’m here to help.
21/10/2024

ESA EO Framework (EOF) – CSC – System Technical Budget

Reference: ESA-EOPG-EOPGC-TN-9
Version: 1.9
Author: CSC Operations Team
Download file:

ESA UNCLASSIFIED - For ESA Official Use Only

1. Introduction

The overall system architecture for the Copernicus Space Component (CSC) and its evolution are being defined on the basis of user requirements coordinated by the European Commission. The Long Term Scenario (LTS) describes the main elements of this architecture and is being generated in an iterative process in close interaction with the European Commission (COM), EUMETSAT and the EU Member States and Copernicus Participating States.

ESA needs to guarantee the continuity of the on-going operations with the maximum level of performances for the flying Copernicus Sentinels, while facing the technical and financial challenges to adapt to the foreseen future CSC architecture.

The EOF encompasses all the activities necessary to successfully deliver the expected level of CSC GS operations entrusted to ESA (i.e. establishment and maintenance of the new baseline, procurement actions, operations management, reporting, etc.).

The EOF is documented throughout a complete package describing and specifying the applicable operational concepts as well as the architecture and operations procurement approach adopted for establishing and evolving the CSC operations baseline (in particular with respects to the future Expansion Missions, associated with the necessary cost information to size the proposed approach and potential trade-offs).

The EOF implementation is based on a service architecture with well-identified components that exchange data through Internet respecting defined interfaces. A service presents a simple interface to its consumer that abstracts away the underlying complexity. Combined with deployments on public cloud infrastructure, the service approach offers large adaptability to evolution of the operational scenarios in particular for what regards scalability.

Since the transformation process which started in 2019, the EOF-CSC operations have been transferred to cloud based environments (in anticipation of the enlargement of the Copernicus Sentinel missions and in response to the ever-increasing demand for Copernicus data) and the service-oriented approach for each component of the EOF-CSC operations has been strengthened to enhance industrial competitiveness, prevent industrial and technical lock-in and introduce the necessary operational flexibility and transparency to allow the adaptation of the EOF-CSC to future challenges.

Within this context, this document outlines the system budget of the large flow of data being acquired, processed, and distributed within the EOF .

1.1. Scope

This document is part of the ESA EO Observations Framework (EOF) Copernicus Space Component (CSC) documentation package. The system budget scope is to provide an estimate of the expected operations load and the sizing of the general operations. The budget provides an end-to-end global view on the operational data flows within the period 2024 Q1 2034. These estimations are made on the basis of current operation volumes. The budget should support the sizing of the critical elements.

1.1. EOF CSC High-Level Architecture

The functions composing the EOF-CSC architecture are implemented in the form of operational services, complying to a set of applicable input and output interfaces and to the corresponding operational performance requirements.

For the purpose of architecture and design definition, the interfaces between functions are classified as:

-Data flow interfaces, for interfaces carrying Sentinel data or auxiliary information required for processing activities

-Monitoring and control interfaces, for interfaces carrying reporting information (necessary for the performance monitoring at element level or end to end) or operations control information

-Scheduling interfaces, for interfaces related to mission planning, including ground stations planning, satellite scheduling, etc.

Data flow interfaces, for systematic data transfer between services, are based on the concept of small data cache areas, referred to as data “interface delivery points” (IP) hereafter. Each function or service, generating a systematic or routine data flow to be further managed by one or more services, is making the output data available in an interface delivery point located on a cloud-based environment, which is logically considered as part of, and under the responsibility of, the data source service.

The architecture is presented in [RD-EOF-ARC], and Figure 1 introduces the main elements relevant for the system budget.

Immagine 60

Figure 1 High level decomposition of the ESA EO Operations Framework (EOF) Copernicus Space Component (CSC) architecture

The number of instances for each service may vary, it is therefore important for the system budget to consider worst-case scenarios. The system budget does not intend to provide exact figures per mission, but rather to provide an order of magnitude sufficient for the verification of the different service sizing.

1.2. Applicable documents

The following documents are applicable to the System Technical Budget to the extent specified in this document: 

Id 

Title 

Reference 

AD-EOF-DASP

Copernicus Space Component Sentinel Data Portfolio

ESA-EOPG-EOPGC-TN-12

1.3. Reference documents

The following documents can be consulted as they contain relevant information: 

Id 

Title 

Reference 

RD-EOF-ARC

CSC Operations – ESA Framework – Ground Segment Architecture

ESA-EOPG-EOPGC-TN-12

RD-EOF-LTS

The next phase of Copernicus” Updated Copernicus Space Component (CSC) Long Term Scenario

[ESA_PB-EO_2024_10_EN] LTS 2024

RD-EOF-MICD

CSC Operations – ESA Framework – Master ICD

ESA-EOPG-EOPGC-IF-06

RD-EOF-GLO

CSC Sentinel Ground Segment Operations Glossary

ESA-EOPG-EOPGC-TN-13

RD-EOF-MSOC-

EOF CSC- Mission Specific Operations Configuration – CRISTAL Mission

ESA-EOPG-EOPGC-TN-2024-73

EOF CSC- Mission Specific Operations Configuration – LSTM Mission

ESA-EOPG-EOPGC-TN-2024-83

EOF CSC- Mission Specific Operations Configuration – ROSE-L Mission

ESA-EOPG-EOPGC-TN-2024-74

EOF CSC- Mission Specific Operations Configuration – CHIME Mission

ESA-EOPG-EOPGC-TN-2024-70

EOF CSC- Mission Specific Operations Configuration – CIMR Mission

ESA-EOPG-EOPGC-TN-2024-71


1.2. Acronimous

1.3. Definitions

Archive Exploitation Ratio

The Users’ interest in Sentinel products can most accurately be monitored by looking at the ‘Archive Exploitation Ratio’ (AER). The AER is defined as the total number of users’ downloads (made from the hub), divided by the total number of products, (which had been published on the hubs since the start of operations). For example a ratio of 1:X indicates that, for each of the published products, there was an average number of X downloads.

Data take

The data take corresponds to the continuous sensing of a given area. The data take is downlinked from the satellite to the ground station according to the mission downlink capabilities. Data take can be downlinked in several portions in different locations.

Immagine 17

Sentinel-1 Segments and Assembled Segments

Sentinel-1 Segments of the same data take partially downlinked in different stations are assembled before processing.

Sentinel-1 Slices

Sentinel-1 Slicing is a process applied throughout the processing Production. It consists in cutting a complete L0 segment into parts ("slices") of configurable size, allowing to distribute and parallelize the processing over several processing nodes

Immagine 19

Sentinel 2 Datastrip

Within a given data take, a portion of image downlinked during a pass to a given station is referred to as a "datastrip". It is expected that the maximum length of a datastrip downlinked to a ground station is approximately 5,000 km.

Sentinel 2 Granules/Tiles

A granule is the minimum indivisible partition of a product (containing all possible spectral bands).

For Level-0, Level-1A and Level-1B, granules are sub-images of a detector with a given number of lines along track. A granule covers approximately 25 km across-track and 23 km along-track.

For Level-1C and Level-2A, the granules, also called tiles, are 100 km2 ortho-images in UTM/WGS84 projection

Near Real Time (NRT) and Non Time Critical (NTC)

Products are categorized as either Near Real Time (NRT) or Non-Time Critical (NTC). NRT products are intended to be made available to the users less than 3 hours after acquisition of the data by the sensor. The expectation for NTC products is that they will be published within 24 hours from sensing.

TiB - a unit of information equal to 1024 gibibytes or 2^40 (1,099,511,627,776) bytes.


2. OPERATIONS SIZING

2.1. Copernicus Operations Assumptions

The operations sizing for the first generation of Sentinels are based on the measured and monitored dataflows according to their actual operations. The operations sizing for the Copernicus Expansion and Sentinel Next Generation missions are derived from the best assumptions available within the reference documentation [RD-EOF-MSOC].

In addition to the observational priorities provided by the EC, the following assumptions have been taken for the elements impacting the operations framework:

The operational lifetime of the Sentinel -1, -2 and -3 satellites and of the Copernicus Expansion satellites is assumed to be 10 years.

A maximum of 2 satellites of the same mission will be simultaneously in routine operations. Operating simultaneously more than 2 satellites of the same mission should be avoided, apart from hand-over and cross-calibration periods or if requested by the EC based on strong user needs.

2.2. Total operational time estimation

Table 1 is an overview of the overall timeline of operations of the different Copernicus missions, considering:

The above assumptions,

The projection of the operational Copernicus satellites for the period 2024-2034 according to LTS [RD-EOF-LTS]. This timeline does not include the Copernicus Expansion missions or NG Missions. For that reason in 2034 there is the impression of having 1,5 flying satellites. Howevere those are expected to be complemented by the NG missions.

The LTS considers a launch window for each mission. Here, for convenience, the beginning of the launch window is considered as the launch date.

Immagine 4

Table 1: Timeline of Copernicus satellites

Grey color: commissioning phase

Blue color:routine operations phase

Immagine 5

Figure 2 Yearly number of Copernicus satellites

2.3. EOF-CSC architecture elements

For the data budget, the following major EOF-CSC elements are considered:

Data Acquisition

oCritical elements: Stations required bandwidth

Systematic Production, On-demand Production and Reprocessing

oCritical elements: Overall bandwidth to LTA and to the Data Access

Data Access – data distribution and user scenario characterization

oCritical elements: Overall bandwidth towards end users

Data Preservation (LTA)

oCritical elements: Overall archiving volume evolution

2.4. Global Guidelines

Generally, the data total volume has been calculated in accordance with the following guidelines:

the average of the two satellites in routine operations (e.g. A and B) is considered for the calculations

the data volume provided from current satellites (Example S1A) is similar for future satellites for the same mission (Example S1C).


3. ACQUISITION

3.1. Definition

The overall data is estimated by considering the current volume of downlinked data. The data load has been calculated in accordance with the following assumptions:

The downlink data rate for Sentinels 1, 2, 3 is 560 Mbps and 310 Mbps for Sentinels 5P,

Sentinel 1, 2, 3 have 2 downlinks channels per satellite and 1 downlink channel for Sentinel 5P,

There is an average of 14,58 orbits per day for Sentinel-1, of 14,3 orbits per day for Sentinel-2 and Sentinel-3 satellites and of 14,2 orbits per day for Sentinel-5P satellite,

For each mission, the satellites are spaced equidistant along the orbit (this assumption is applicable for two, three or four satellites of the same mission flying),

For Sentinel-1 and Sentinel-2, data is downlinked over all stations available in order to optimize the data delivery timeliness,

For Sentinel-1, pass-through RT happens only over X-Band Stations,

For Sentinel-3 and Sentinel-5P, data is ddownlinked only once per orbit.

3.2. Data volume

Based on the above and the average downlink times currently measured for each flying satellite, the following yearly average downlinked data is expected:

Immagine 47

Table 2 Yearly average downlinked data volume for one Satellite

According to the current assumption on launch dates and lifetime, the following profile is expected for the yearly data volume (TiB) for each mission.

Immagine 7

Figure 3 Downlinked volume per year (TiB)

The acquisition scenario and associated budget have to consider the variability of the scenario.

The Acquisition service shall adapt the capacity to the required load, taking in consideration potential shifts.

3.3. Bandwidth

The above volume is to be circulated between the station physical location and the interface delivery point.

In average the required transfer rate is below 1 Gb/s and should not create a technological risk.

Still, the downlink patterns may create peaks of activities that need to be sized.

A scenario in which 4 satellites would downlink for 10 minutes in parallel, with 15 minutes to get the data out of the station would lead to a bandwidth of about 2 Gb/s.

The Acquisition Service shall pay attention to such situations that may become critical through time.

Even if this scenario is unlikely, exceptional circumstances like contingencies and the need to disseminate several orbits in parallel may create similar situations. The Acquistion services shall take in consideation some margines to accommodate this need.


4. OVERALL DATA FLOWS

The system budget is mainly driven by the systematic production. The following sections present the overall production frame, the Long-Term Archiving and the data dissemination.

4.1. Data flow scenarios

The following table represents the circulation between the architectural elements of the CGS EOF-CSC

Mission

Timeliness

L0

L1

L2

S1

NRT

DD, LTA

DD

DD

NTC

DD, LTA

DD

DD

S2

NTC

LTA

DD

DD

S3

NRT + STC

LTA

DD

DD

NTC

XX

DD

DD

S5P

NRT

X

DD

DD

NTC (OFFL)

LTA

DD

DD

Table 3 Synthesis data flow

X This type does not exist

XX Not circulated Product types


5. DATA PRODUCTION

All the volumes and number mission specificities are reported in chapter 8 DATA FLOW PROCESS CHART, taking into account the mission rules available in chapter 10 ANNEX.

The production allows to generate:

Level-0 from CADUs chunks

Level-1 and Level-2 products from Level-0.

5.1. Data Volume

The following table provides the estimated Sentinel-1, Sentinel-3 and Sentinel-5P average volumes per product level for one satellite:

Immagine 3

Table 4 Sentinel-1, Sentinel-3 and Sentinel-5P Production Volumes (TiB) per product level for one satellite

The following table provides the estimated Sentinel-1 average volumes per product type for one satellite:

Immagine 1

Table 5 Sentinel-1 Production Volumes (TiB) per product type for one satellite

The following table provides the estimated Sentinel-3 average volumes per instrument and level for one satellite:

Immagine 2

Table 6 Sentinel-3 Production Volumes (TiB) per instrument and level for one satellite

The following table provides the estimated Sentinel-2 average volumes per product type and for one satellite. There aren’t different production timeliness for Sentinel-2.

Immagine 4

Table 7 Sentinel 2 Production Volumes (TiB) per product type for one satellite

According to the current assumption on launch dates and lifetime (RD-EOF-LTS), the following profile is expected for the overall yearly NTC data volume (PiB). As Sentinel- 2 does not have NRT production, relevant data volume is included only in NTC graph:

Immagine 8

Figure 4 NTC Yearly Production Data Volume (PiB)

Sentinel-1, Sentinel-3 and Sentinel-5P NRT Production is presented here below:

Immagine 9

Figure 5 Sentinel-1, Sentinel-3 and Sentinel-S5P NRT Yearly Production Data Volume (PiB)

The total average bandwidth for circulating the production is equivalent to 4 Gb/s, which is within a range of common on-the-shelf service for cloud providers. The variability through time already mentioned for the acquisition is to be considered as well (i.e. network scalability on the cloud provider side would deserve some attention as the service offer may differ from one provider to another).

5.2. Number of Products

The following tables provide the estimated Sentinel-1, Sentinel-3 and Sentinel-5P average number of products per product level for one satellite:

Immagine 29

Table 8 Sentinel-1, Sentinel-3 and S entinel-5P number of products per product level for one satellite

Immagine 5

Table 9 Sentinel-2 number of products for one satellite

For the number of products of Sentinel-2 see explanation in Chapter 9.3.

According to the current assumption on launch dates and lifetime (RD-EOF-LTS), the following profiles are expected for the yearly number of products(PiB) produced for each mission.

As Sentinel-2 does not have NRT production, number of data volume are presented only as NTC.

Immagine 10

Figure 6 Yearly S1, S3, S5P NTC Number of products

Immagine 11

Figure 7 Yearly S2 NTC Number of products

Immagine 12

Figure 8 Yearly S1, S3, S5P NRT Number of products


6. DATA PRESERVATION

6.1. Definition

The long-term archiving function pursues two main objectives:

Preserve the L0 and auxiliary mission data for the long term,

Offer efficient access to past data for the operations services (e.g. data distribution, reprocessing, on-demand production, ...)

6.2. Guidelines

The budget is provided considering a unique equivalent LTA regrouping all missions,

L0 products of all missions are archived. The list of L0 for each mission is given in the tables in chapter 10 ANNEX.

Auxiliary data of all missions are archived. For S5P auxiliary data has started to be archived in one of the LTA since March 2024, including the historical ones. The list of auxiliary for each mission is given in the tables in chapter 10 ANNEX.

6.3. Auxiliary Data Volume

Auxiliary data are generated from by external data providers or from production services (such as Sentinel-1 ETAD atmospheric auxiliary data) and used in the processing.

The following tables provide the Auxiliary average data volumes per mission to be archived in the LTAs, according to the current operational scenario.

Since March 2024 Sentinel-5P auxiliary data, both historical and new generated, are also archived by one of the four LTAs.

Only systematic auxiliary data are considered in this estimation, as volume of asynchronous auxiliary data (e.g. configuration files) can be considered negligible.

Immagine 7

Table 10 Auxiliary Data Volumes (TiB) for each mission

6.4. Level 0 Data Volume

The LTA average volume of new acquired L0 data per year for one satellite is estimated for each mission, according to the current operational scenario, and given in the following table:

Immagine 53

Table 11 Yearly LTA volume of newly acquired L0 data (TiB)

6.5. Cumulative Auxiliary and Level 0 Data Volume

The cumulative Auxiliary and Level 0 volume is reported in the table below. It is based on the last “Long Term Scenario” (RD-EOF-LTS).

Immagine 6

Table 12 Yearly AUX and L0 Cumulative Volume (PiB) one copy per mission

Immagine 2

Figure 9 Yearly L0 Cumulative volume (PiB) one copy per mission

Immagine 3

Figure 10 YearlyAUX Cumulative volume (PiB) one copy per mission

6.6. Auxiliary Number of products

The following tables provide the average numbers of Auxiliary data per mission to be archived in the LTAs, according to the current operational scenario.

To be consistent with the volume estimation, only systematic auxiliary data are taken into account:

Immagine 8

Table 13 Number of Auxiliary data for each mission

6.7. Level 0 Number of products

The total amount of L0 products in LTA since the launch of the missions satellites until end of December 2024 is given in the table below:

Immagine 4

Table 14 Total Number of Products archived until December 2024 (Historical data)

The estimated average numbers of L0 products, according to the current operational scenario, archived in LTA for one satellite per year is given in the table below.

Immagine 59

Table 15 Yearly Total Number of Products archived (newly acquired data)


7. DATA DISTRIBUTION

The volumes and the number of products presented in this section are representative for the Data Access system.

Data Access system has been provided by the Copernicus Open Access Hub (Open Access Hub (copernicus.eu) ) until 01/11/2023 and since then from the Copernicus Data Space Ecosystem (CDSE - Copernicus Data Space Ecosystem | Europe's eyes on Earth ).

The CDSE started its ramp-up operations at the end of January 2023 and operated together with the Open Access Hub for most of 2023, gradually increasing its functionalities throughout the year. Since the Open Access Hub decommissioning, the CDSE has been the ESA’s sole data access service for Copernicus Sentinel data.

In addition to the User level data CDSE has started publishing also the engineering data for each mission, consisting in L0 products and auxiliary data. Such data has a 14-days rolling policy and are restricted to expert users.

7.1. Published Data volumes

The current average user level data volumes published at the Data Access system, for one satellite, is summarized in the table below divided per product level and mission:

Immagine 9

Table 16: average published data volumes per product level and mission (TiB)

The following tables report instead, separately for Sentinel-1, Sentinel-2 and Sentinel-3, the user level data volumes published at the Data Access system, for one satellite, divided per product type:

Immagine 18

Table 17: Sentinel-1 published data volumes per product type (TiB)

Immagine 19

Table 18: Sentinel-2 published data volumes per product type (TiB)

Immagine 20

Table 19: Sentinel-3 published data volumes per instrument and level (TiB)

According to the current assumption on the launch dates and the lifetime (RD-EOF-LTS), the following profile is expected for the yearly published data volume (PiB) for each mission:

Immagine 14

Figure 11 Yearly average published data volume (PiB)


7.2. Published number of products

The assumption for the representations of the overall number of published products per year is that the number of users and the average data volume per year is maintained.

The table below reports the number of products published at the Data Access system, for one satellite, divided per product level and mission:

Immagine 10

Table 20 Average number of published products per product level and mission (TiB)

The following tables report instead, separately for Sentinel-1, Sentinel-2 and Sentinel-3, the number of products published at the Data Access system, for one satellite, divided per product type:

Immagine 21

Table 21 Sentinel-1 number of published products per product type (TiB)

Immagine 22

Table 22 Sentinel-2 number of published products per product type (TiB)

Immagine 24

Table 23 Sentinel-3 number of published products per instrument and level (TiB)

According to the current assumption on launch dates and lifetime (RD-EOF-LTS of March 2024), the following profile is expected for the yearly number of products published for each mission:

Immagine 16

Figure 12 Yearly number of published products


7.3. Downloaded Data volume

According to what reported by the Copernicus Open Access Hub the ‘Archive Exploitation Ratio’ (AER) for 2023 and for each mission are:

Immagine 7

Table 24 Archive Exploitation Ratio per mission at the end of 2023

Then, based on downloaded data volume provided by the Copernicus Data Space Ecosystem until December 2024 the average yearly downloaded data volume for each mission has been estimated.

The assumption for the representations of the overall downloaded data volume yearly is that the number of users and the average data volume per year is maintained.

Immagine 13

Table 25 Average yearly downloaded data volume

According to the current assumption on launch dates and lifetime, the following profile is expected for the yearly downloaded data volume (PiB) for each mission:

Immagine 14

Figure 13 Yearly average downloaded data volume (PiB)


7.4. Downloaded number of products

Based on downloaded number of products provided by the Copernicus Data Space Ecosystem from November 2023 until September 2024 the average yearly downloaded number of products for each mission has been estimated.

The assumption for the representations of the overall downloaded number of products yearly is that the number of users and the average data volume per year is maintained.

Immagine 15

Table 26 Average yearly number of products downloaded

According to the current assumption on launch dates and lifetime, the following profile is expected for the yearly number of products downloaded for each mission:

Immagine 16

Figure 14 Yearly number of downloaded products


7.5. User scenario

Since the lunch of Sentinel-1A, the Copernicus Sentinels Data Access was provided by the Copernicus Open Access Hub (Open Access Hub (copernicus.eu) ), operated until 01/11/2023. This has subsequently been superceeded by the Copernicus Data Space Ecosystem (CDSE).

In both cases the Sentinels Data Access is open worldwide to anyone who wishes to register an account.

During the nine years of operations from 2014 until the closing of the registration in 31 October 2023 the total number of registered users for the Copernicus Open Access Hub reached 759.494. A detailed analysis of the user access scenarios are available here:

https://sentinels.copernicus.eu/web/sentinel/-/ninth-copernicus-sentinel-data-access-annual-report

The Copernicus Data Space Ecosystem (CDSE) has been developed with a strategy to evolve towards an open data space ecosystem that further increases the ease with which users can exploit Copernicus Sentinel data, also without download, thanks to enhanced data access, applications and services.

The number of registered users on the CDSE since the start of its operations until end of 2024 is 309.103. The first data access report for the CDSE is available here:

https://dataspace.copernicus.eu/news/2024-11-5-copernicus-data-space-ecosystem-cdse-releases-annual-report-2023

Site

8. Reprocessing

8.1. General assumptions

Reprocessing campaigns are performed to take into account processing evolution (e.g. quality improvement) and to provide full consistent dataset since the beginning of the related mission.

Reprocessing activities do not impact operational data production as they are either done by external provider and/or using processing facilities different from the operational ones.

Input data, L0 products and auxiliary data, are retrieved from LTA, while reprocessed output products are disseminated to the data access system in order to be available for the final users.

As L0 are the inputs of production and are not part of the reprocessing activities, LTA archives are not impacted, while, concerning the data access system, after the completion of the ingestion of the entire reprocessed data set, old data overlapping in sensing are deleted from it.

8.2. Reprocessing campaigns

The table below reports the main completed data reprocessing campaigns for each mission.

Publication date indicates the date of the availability of the full reprocessed dataset on Data Access system.

For Sentinel-3, reprocessing always refers to NTC products.

Mission

Product Type

Product Level

Reprocessed Sensing time

Reprocessed Data Volume [GB]

Publication date

PB

S2A/B

MSI_L1B_GR
MSI_L1B_DS
MSI_L1C_TL
MSI_L1C_TC
MSI_L1C_DS

L1

S2A:07/2015 – 31/12/2021
S2B: 03/2017 – 31/12/2021

13.678.452

Sep-24

5.0

MSI_L2A_DS
MSI_L2A_TL

L2

S2A:07/2015 – 31/12/2021
S2B: 03/2017 – 31/12/2021

12.735.489

S3A

OL_1_ERR
OL_1_EFR

L1

25/04/2016 – 29/11/2017

82.600

Sep-18

2.23

OL_2_LRR
OL_2_LFR

L2

01/03/2016 – 01/02/2018

81.000

SR_1_SRA___
SR_1_SRA_A_
SR_1_SRA_BS

L1

01/03/2016 – 15/02/2018

238.000

Nov-18

2.33

SR_2_LAN___

L2

01/03/2016 – 15/02/2018

S3B

OL_1_ERR
OL_1_EFR

L1

14/05/2018 - 30/10/2019

786.902.880

Jul-20

1.34

OL_2_LRR
OL_2_LFR

L2

14/05/2018 - 30/10/2019

132.347.115

SL_1_RBT

L1

09/05/2018-16/02/2020

12.095.727

Jan-21

1.40

SL_2_LST

L2

09/05/2018-16/02/2020

17.539.409

S3A/B

SR_2_LAN_SI
SR_2_LAN_HY
SR_2_LAN_LI

L2

01/03/2016 – 01/04/2023
08/05/2018 – 01/04/2023

10.500

Nov-23

3.20

S5P

L2__CO___
L2_O3___
L2_CLOUD_
L2__AER_AI

L2

30/04/2018 – 31/03/2022

38.190

Dec-22

2.4

L1B products

L1

30/04/2018 – 25/07/2022

1.491.860

Mar-23

2.4

L2_CH4__
L2_NO2__
L2__AER_LH

L2

30/04/2018 – 25/07/2022

L2__CO___
L2_O3___
L2_CLOUD_
L2__AER_AI

L2

01/04/2022 - 25/07/2022

L2__SO2___
L2__HCHO___

L2

07/05/2018 – 03/08/2022

72.620

Apr-23

2.4

L2__O3_TCL
L2__O3_PR

L2

30/04/2018 - 03/08/2022

Table 27 Completed reprocessing campaigns

9. DATA FLOW PROCESS CHART

9.1. Sentinel 1 Data flow

Based on the values presented in the previous chapters, an overall view of the data flow of Sentinel-1 is presented here:

Immagine 8
Figure 15 Sentinel 1 Overall Data Flow

9.1.1. Sentinel-1 Particularities

The Sentinel-1 production operation concept is strongly driven by the satellites capabilities and constraints. It shall be noticed that additional data types generated as part of the S1 production ( such as the segments for L0) and not intended for preservation or dissemination are outside the scope of this System Technical Budget.

9.1.2. Sentinel-1 On board Data Compression

The Sentinel-1 on-board data compression is based on the Flexible Dynamic Block Adaptive Quantisation (FDBAQ), which provides a variable bit rate coding, resulting in a non deterministic SAR instrument data compression rate [RD-5].The number of bits allocated to compress the instrument data before memory storage (or before direct downlink in the case of pass-through mode operations) is variable, depending on the surface reflectivity and increasing for bright scatterers.

The allocated number of bits on board varies between 3 and 5, with non-integer intermediate steps. It is defined to reduce the average data rate, ensuring a IW data rate close to the downlink data rate of 260 Mbps.

The direct result of this approach is that the on board memory volume occupied by a given data take will depend on the allocated number of bits during the on board compression process. This number of bits (or resulting data volume) is not fixed for a given area, but is expected to vary for different polarisation and incidence angles and eventually, over time, according to the surface reflectivity changes.

This approach leads to a not fully predictable on-board compression rate and therefore, to a not fully predictable on board memory volume occupied for each data take and to a not fully predictable time required for downlinking each data take. This results in the impossibility to manage data downlink through sensing start and stop times.

Prediction of the occupied memory volume by each acquisition segment (and the required downlink time) and real-time ground monitoring of the memory evolution can be performed using the predicted average downlink rate and complemented by modelling the FDBAQ compression on ground using an accurate global backscattering map.

9.1.3. Sentinel-1 Data Rates

The Sentinel-1 satellite is able to transmit SAR data on ground over two X-band channels at a net rate of 260 Mbps (ISP level) per channel

Estimated average SAR data rates after on-board FDBAQ compression are shown in Figure 16.

The SAR instrument data rate may be higher than the data downlink rate (only for Stripmap Swath-1 according to the table below). In such case, data acquired in pass-through mode over an X-Band Receiving Ground Station might not be completely down-linked over the same ground station if passthrough operations are maintained until the end of the contact time.

Immagine 4

Figure 16 Sentinel-1 SAR FDBAQ Estimated Average Data Rates

9.1.4. Compression

The produced data L1 and L2 are compressed for achieving and publishing. The compression rate is 40% less volume archived and published.

9.1.5. L0 Slices

In production, the L0 Assembly/Slicing Processor assembles partial segments of Level 0 Data Takes acquired by different Acquistion to generate a Complete Level 0 Product. The assembled Level 0 Product is also cut into Level 0 Slices used to feed the higher level productions.

The volumes and the number of products presented here are considering only the number of slices for L0 NRT+NTC (300TiB/year).

The volume of L0 NRT data includes only the L0 slices, without considering the segments.

9.2. Sentinel-2 Data flow

Based on the values presented in the previous chapters an overall view of the data flow of Sentinel-2 is presented here:

Immagine 10
Figure 17 Sentinel 2 Overall Data flow

.

9.3. Sentinel-2 Number of packages

In the past all granules and the Data strips were archived in a single package. Currently the granules are archived individually. All existing packages in LTA are modified according the new need. This would not impact the overall data volume.

9.4. Sentinel-2 acquisition changes during one year

Sentinel-2 acquisition principle is to acquire data from the land surfaces under specific sun illumination conditions (during the descending portion of the orbit). Hence, the data volume is object of seasonal variations along the year of about 20%.

9.5. Sentinel-2A and Sentinel-2B acquisition differences

Differences in acquisition between Sentinel-2A and Sentinel-2B are not constant over the years but depend on the campaigns of acquisition Mission Planning has to implement.

9.5.1. Levels volume/number of products calculations using proportions relationship

The relation between the levels (L0, L1, L2) volumes or numbers of products can be estimated.

• Number of products

The L1B is similar to L0.

The L2A is similar to L1C.

• Volumes

The L1C is 2,1 times more than L1B. The level L2A is 30% more than L1C.

9.6. Sentinel-3 Data flow

Based on the values presented in the previous chapters an overall view of the data flow of Sentinel-3 is presented here:

Immagine 11
Figure 18 Sentinel 3 Overall Data flow

9.7. Sentinel-3 Particularities

The Sentinel-3 CSC operation concept is strongly driven by the instruments on board, more precisely the OLCI (Ocean and Land Colour Instrument), SLSTR (Sea and Land Surface Temperature Radiometer) and the SRAL (Sentinel-3 Ku/C Radar Altimeter).

The volumes and the numbers of products by product are represented in chapter 10 ANNEX.

9.8. Sentinel-5P Data flow

Based on the values presented in the previous chapters an overall view of the data flow of Sentinel-5P is presented here:

Immagine 12
Figure 19 Sentinel-5P Overall Data flow


9.8.1. Sentinel – S5P Particularities

The L1CAL and L1 ENG in NTC are not published via CDSE. They are in any case considered as negligible in overall dataflow.

There is one L0 flow that feeds both NRT and NTC processing chains.

The L1 NTC is compressed: the published data volume is 60 % of the produced data volume.

For Sentinel-5P not only L0 is archived, but also exceptionally there is one copy of L1, L2.

9.8.2. Auxiliary Data

The auxiliary data volume of Sentienl-5P represents 3% of the archived data volume.

10. ANNEX

10.1. Mission Rules

The following tables refers to the estimations for 1 satellite.

The columns ‘P’, ‘A’, ‘D’ indicate the service where the specific Product Type is ‘Produced’, ‘Archived’ and ‘Disseminated’, respectively.

10.2. Sentinel -1

TYPE

Instrument

Level

Timeliness

#Num per products/ orbit/unit

#Num/day

P

A

D

Volume per Orbit [GB]

Volume per day [GB]

S(1.2.3.4.5.6)_RAW__0S(SH/SV/DH/DV)

SM

0

NTC

0,156

2,280

PS

LTA

DA

0,229

3,299

S(1.2.3.4.5.6)_RAW__0C(SH/SV/DH/DV)

SM

0

NTC

0,145

2,120

PS

LTA

DA

-

S(1.2.3.4.5.6)_RAW__0N(SH/SV/DH/DV)

SM

0

NTC

0,145

2,120

PS

LTA

DA

-

-

S(1.2.3.4.5.6)_RAW__0A(SH/SV/DH/DV)

SM

0

NTC

0,145

2,120

PS

LTA

DA

-

-

RF_RAW

RFC

0

NTC

0,892

13,000

PS

LTA

DA

0,076

1,100

IW_RAW__0S(SH/SV/DH/DV)

IW

0

NRT

9,570

139,530

PS

LTA

DA

16,798

241,892

IW_RAW__0C(SH/SV/DH/DV)

IW

0

NRT

0,703

10,250

PS

LTA

DA

0,153

2,199

IW_RAW__0N(SH/SV/DH/DV)

IW

0

NRT

0,702

10,240

PS

LTA

DA

0,076

1,100

IW_RAW__0A(SH/SV/DH/DV)

IW

0

NRT

0,703

10,250

PS

LTA

DA

0,000

0,000

EW_RAW__0S(SH/SV/DH/DV)

EW

0

NRT

1,789

26,090

PS

LTA

DA

2,062

29,687

EW_RAW__0C(SH/SV/DH/DV)

EW

0

NRT

0,496

7,230

PS

LTA

DA

0,076

1,100

EW_RAW__0N(SH/SV/DH/DV)

EW

0

NRT

0,496

7,230

PS

LTA

DA

0,000

0,000

EW_RAW__0A(SH/SV/DH/DV)

EW

0

NRT

0,496

7,230

PS

LTA

DA

0,000

0,000

IW_RAW__0S(SH/SV/DH/DV)

IW

0

NTC

25,988

378,900

PS

LTA

DA

45,049

648,711

IW_RAW__0C(SH/SV/DH/DV)

IW

0

NTC

3,017

43,990

PS

LTA

DA

0,458

6,597

IW_RAW__0N(SH/SV/DH/DV)

IW

0

NTC

3,017

43,990

PS

LTA

DA

0,229

3,299

IW_RAW__0A(SH/SV/DH/DV)

IW

0

NTC

3,017

43,990

PS

LTA

DA

0,076

1,100

EW_RAW__0S(SH/SV/DH/DV)

EW

0

NTC

2,496

36,390

PS

LTA

DA

2,138

30,786

EW_RAW__0C(SH/SV/DH/DV)

EW

0

NTC

0,924

13,470

PS

LTA

DA

0,076

1,100

EW_RAW__0N(SH/SV/DH/DV)

EW

0

NTC

0,924

13,470

PS

LTA

DA

0,000

0,000

EW_RAW__0A(SH/SV/DH/DV)

EW

0

NTC

0,924

13,470

PS

LTA

DA

-

-

WV_RAW__0S(SH/SV)

WV

0

NTC

1,926

28,080

PS

LTA

DA

5,116

73,667

WV_RAW__0C(SH/SV)

WV

0

NTC

1,914

27,900

PS

LTA

DA

0,153

2,199

WV_RAW__0N(SH/SV)

WV

0

NTC

1,914

27,900

PS

LTA

DA

-

-

WV_RAW__0A(SH/SV)

WV

0

NTC

1,914

27,900

PS

LTA

DA

0,000

0,000

GP_RAW__0_

GPSR

0

_

1,924

28,050

PS

LTA

0,000

0,000

HK_RAW__0_

HKTM

0

_

1,924

28,050

PS

LTA

0,000

0,000

OBS_SS__

Orbit and Burst Synchronisation

_

1,000

14,580

PS

LTA

DA

0,000

0,000

S(1.2.3.4.5.6)_SLC__1S(SH/SV/DH/DV)

SM

1

NTC

0,157

2,290

PS

DA

0,458

6,597

S(1.2.3.4.5.6)_SLC__1A(SH/SV/DH/DV)

SM

1

NTC

0,157

2,290

PS

DA

-

-

S(1.2.3.4.5.6)_GRDH_1S(SH/SV/DH/DV)

SM

1

NTC

0,156

2,280

PS

DA

-

-

S(1.2.3.4.5.6)_GRDH_1A(SH/SV/DH/DV)

SM

1

NTC

0,156

2,280

PS

DA

-

-

IW_SLC__1S(SH/SV/DH/DV)

IW

1

NRT

9,607

140,070

PS

DA

43,293

623,422

IW_SLC__1A(SH/SV/DH/DV)

IW

1

NRT

9,607

140,070

PS

DA

0,076

1,100

IW_GRDH_1S(SH/SV/DH/DV)

IW

1

NRT

9,608

140,080

PS

DA

9,163

131,941

IW_GRDH_1A(SH/SV/DH/DV)

IW

1

NRT

9,608

140,080

PS

DA

0,000

0,000

EW_SLC__1S(SH/SV/DH/DV)

EW

1

NRT

0,543

7,910

PS

DA

2,672

38,483

EW_SLC__1A(SH/SV/DH/DV)

EW

1

NRT

0,543

7,910

PS

DA

0,000

0,000

EW_GRDM_1S(SH/SV/DH/DV)

EW

1

NRT

1,789

26,080

PS

DA

0,458

6,597

EW_GRDM_1A(SH/SV/DH/DV)

EW

1

NRT

1,789

26,080

PS

DA

-

-

IW_SLC__1S(SH/SV/DH/DV)

IW

1

NTC

26,132

381,010

PS

DA

122,168

1759,216

IW_SLC__1A(SH/SV/DH/DV)

IW

1

NTC

26,132

381,010

PS

DA

0,229

3,299

IW_GRDH_1S(SH/SV/DH/DV)

IW

1

NTC

26,136

381,060

PS

DA

26,342

379,331

IW_GRDH_1A(SH/SV/DH/DV)

IW

1

NTC

26,136

381,060

PS

DA

0,076

1,100

EW_SLC__1S(SH/SV/DH/DV)

EW

1

NTC

0,115

1,680

PS

DA

0,611

8,796

EW_SLC__1A(SH/SV/DH/DV)

EW

1

NTC

0,115

1,680

PS

DA

-

-

EW_GRDM_1S(SH/SV/DH/DV)

EW

1

NTC

2,497

36,400

PS

DA

0,534

7,697

EW_GRDM_1A(SH/SV/DH/DV)

EW

1

NTC

2,497

36,400

PS

DA

-

-

WV_SLC__1S(SH/SV)

WV

1

NTC

1,936

28,230

PS

DA

10,995

158,329

WV_SLC__1A(SH/SV)

WV

1

NTC

1,936

28,230

PS

DA

0,000

0,000

SM_OCN__2S(SH/SV/DH/DV)

SM

2

NTC

0,128

1,870

PS

DA

-

-

SM_OCN__2A(SH/SV/DH/DV)

SM

2

NTC

0,128

1,870

PS

DA

-

-

IW_OCN__2S(SH/SV/DH/DV)

IW

2

NRT

6,383

93,060

PS

DA

0,076

1,100

IW_OCN__2A(SH/SV/DH/DV)

IW

2

NRT

6,383

93,060

PS

DA

0,000

0,000

EW_OCN__2S(SH/SV/DH/DV)

EW

2

NRT

1,701

24,800

PS

DA

0,000

0,000

EW_OCN__2A(SH/SV/DH/DV)

EW

2

NRT

1,701

24,800

PS

DA

-

-

IW_OCN__2S(SH/SV/DH/DV)

IW

2

NTC

10,365

151,120

PS

DA

0,076

1,100

IW_OCN__2A(SH/SV/DH/DV)

IW

2

NTC

10,365

151,120

PS

DA

0,000

0,000

EW_OCN__2S(SH/SV/DH/DV)

EW

2

NTC

2,390

34,850

PS

DA

0,076

1,100

EW_OCN__2A(SH/SV/DH/DV)

EW

2

NTC

2,390

34,850

PS

DA

-

-

WV_OCN__2S(SH/SV/DH/DV)

WV

2

NTC

1,938

28,260

PS

DA

0,076

1,100

WV_OCN__2A(SH/SV/DH/DV)

WV

2

NTC

1,938

28,260

PS

DA

0,000

0,000

Auxiliary:

TYPE

Asynchronous/Systematic

Level

#Num/day

P

A

D

Volume per day [GB]

Volume [GB]

AUX_PREORB

Systematic

AUX

14

POD

LTA

DA

0,0002

AUX_RESORB

Systematic

AUX

14

POD

LTA

DA

0,0011

AUX_POEORB

Systematic

AUX

1

POD

LTA

DA

0,0006

AUX_WND

Systematic

AUX

180

ADGS

LTA

DA

4,6179

AUX_WAV

Systematic

AUX

100

ADGS

LTA

DA

0,0387

AUX_ICE

Systematic

AUX

1

ADGS

LTA

DA

0,0011

AUX_TEC

Systematic

AUX

0,8

ADGS

LTA

DA

0,0003

AUX_TRO

Systematic

AUX

4

ADGS

LTA

DA

6,4424

AUX_GNSSRD

Systematic

AUX

POD

-

DA

0,0299

AUX_PROQUA

Systematic

AUX

POD

-

DA

0,0100

S[1..6]_ETA__AX

Systematic

AUX

2,50

PS

0,0365

IW_ETA__AX

Systematic

AUX

557,00

PS

47,2446

EW_ETA__AX

Systematic

AUX

13,00

PS

3,9943

AUX_ML2

Asynchronous

AUX

MPC

0,4992

AUX_PP1

Asynchronous

AUX

MPC

LTA

DA

0,0003

AUX_CAL

Asynchronous

AUX

MPC

LTA

DA

0,0010

AUX_INS

Asynchronous

AUX

MPC

LTA

DA

0,0010

AUX_PP2

Asynchronous

AUX

MPC

LTA

DA

0,0010

AUX_SCS

Asynchronous

AUX

MPC

LTA

DA

2,7488

AUX_ITC

Asynchronous

AUX

MPC

LTA

DA

0,0000

AUX_SCF

Asynchronous

AUX

MPC

LTA

DA

0,0000

10.3. Sentinel-2

the L1B, L1C and L2A production is systematic.

The L1A is produced in relation to the calibration observations only, and it is not distributed to the final user . The results of L1A are negligible in numbers and volumes, with respect to other product levels. They have hence not been reflected in the document.

TYPE

Instrument

Level

Timeliness

#Num per products/ orbit/unit

#Num/day

P

A

D

Volume per Orbit [GB ]

Volume per day [GB ]

MSI_L0__DS

MSI

0

NTC

5,817

83,190

PS

LTA

DA

0,175

2,5068

MSI_L0__GR

MSI

0

NTC

4086,690

58439,660

PS

LTA

DA

75,199

1075,3409

MSI_L1A_DS

MSI

1

NTC

0,015

0,211

PS

 

DA

0,000

0,0009

MSI_L1A_GR

MSI

1

NTC

1,809

25,871

PS

 

DA

0,028

0,3959

MSI_L1B_DS

MSI

1

NTC

5,427

77,608

PS

 

DA

0,049

0,7014

MSI_L1B_GR

MSI

1

NTC

3937,343

56304,000

PS

 

DA

84,874

1213,6968

MSI_L1C_DS

MSI

1

NTC

5,436

77,735

PS

 

DA

0,048

0,6795

MSI_L1C_TL

MSI

1

NTC

414,126

5922,000

PS

 

DA

172,909

2472,5991

MSI_L1C_TC

MSI

1

NTC

414,164

5922,539

PS

 

DA

24,044

343,8351

MSIL1C.SAFE

MSI

1

NTC

410,979

5877,000

PS

 

DA

184,883

2643,8317

MSI_L2A_DS

MSI

2

NTC

5,273

75,400

PS

 

DA

0,046

0,6630

MSI_L2A_TL

MSI

2

NTC

409,185

5851,350

PS

 

DA

259,603

3712,3233

MSI_L2A_TC

MSI

2

NTC

409,185

5851,349

PS

 

DA

21,841

312,3283

MSIL2A.SAFE

MSI

2

NTC

376,364

5382,000

PS

 

DA

244,276

3493,1455

AUX_SADATA

MSI

AUX

NTC

4,000

268,880

PS

LTA

DA

0,101

7,2733

PRD_HKTM

 

 

NTC

 

29,000

PS

LTA

 

0,036

1,1138

Auxiliary:

TYPE

Asynchronous/Systematic

Level

#Num/day

P

A

D

Volume per day [GB]

Volume [GB]

AUX_CAMSFO

Systematic

AUX

2

ADGS

LTA

DA

1,074

AUX_ECMWFD

Systematic

AUX

2

ADGS

LTA

DA

0,468

AUX_UT1UTC

Systematic

AUX

0,140

ADGS

LTA

DA

0,000

GIP_R2ABCA (*)

Systematic

AUX

0,075

ADGS

LTA

DA

0,0000

GIP_R2EQOG (*)

Systematic

AUX

0,978

ADGS

LTA

DA

0,0006

AUX_GNSSRD

Systematic

AUX

1

POD

DA

0,0240

AUX_PROQUA

Systematic

AUX

1

POD

DA

0,0159

AUX_POEORB

Systematic

AUX

1

POD

DA

AUX_CAMSAN

Asynchronous

AUX

ADGS

LTA

DA

1,074

AUX_CAMSRE

Asynchronous

AUX

ADGS

LTA

DA

1,074

(*) updated once a month


10.4. Sentinel-3

The L1 and L2 STC budgets are added to the corresponding L1 and L2 NRT budgets.

TYPE

Instrument

Level

Timeliness

#Num/orbit/unit

#Num/day

P

A

D

Volume per Orbit [GB]

Volume per day [GB]

DO_0_DOP__G

DORIS

ISP

NRT

1

14,3

ACQ

 

 

0,001

0,015

DO_0_NAV__G

DORIS

ISP

NRT

1

14,3

ACQ

 

 

0,001

0,015

GN_0_GNS__G

GNSS

ISP

NRT

1

14,3

ACQ

 

 

0,009

0,123

MW_0_MWR__G

MWR

ISP

NRT

1

14,3

ACQ

 

 

0,003

0,046

OL_0_CR___G

OLCI

ISP

NRT

1

14,3

ACQ

 

 

0,008

0,107

OL_0_EFR__G

OLCI

ISP

NRT

22

314,4

ACQ

 

 

9,884

141,138

SL_0_SLT__G

SLSTR

ISP

NRT

20

285,8

ACQ

 

 

5,297

75,636

SR_0_CAL__G

SRAL

ISP

NRT

1

14,3

ACQ

 

 

0,008

0,107

SR_0_SRA__G

SRAL

ISP

NRT

10

142,9

ACQ

 

 

7,695

109,877

TM_0_HKM__G

TM

ISP

NRT

1

14,3

ACQ

 

 

0,008

0,107

TM_0_HKM2_G

TM

ISP

NRT

1

14,3

ACQ

 

 

0,001

0,015

TM_0_NAT__G

TM

ISP

NRT

2

28,6

ACQ

 

 

0,001

0,015

DO_0_DOP___

DORIS

L0

NRT

1

14,3

PS

LTA

DA

0,001

0,007

DO_0_NAV___

DORIS

L0

NRT

1

14,3

PS

LTA

DA

0,000

0,002

GN_0_GNS___

GNSS

L0

NRT

6

85,7

PS

LTA

DA

0,004

0,055

MW_0_MWR___

MWR

L0

NRT

1

14,3

PS

LTA

DA

0,001

0,020

OL_0_CR0___

OLCI

L0

NRT

1

14,3

PS

LTA

DA

0,003

0,036

OL_0_CR1___

OLCI

L0

NRT

1

14,3

PS

LTA

DA

2,446

34,931

OL_0_EFR___

OLCI

L0

NRT

22

314,4

PS

LTA

DA

8,237

117,624

SL_0_SLT___

SLSTR

L0

NRT

20

285,8

PS

LTA

DA

4,222

60,295

SR_0_CAL___

SRAL

L0

NRT

1

14,3

PS

LTA

DA

0,005

0,065

SR_0_SRA___

SRAL

L0

NRT

10

142,9

PS

LTA

DA

9,799

139,932

TM_0_HKM___

TM

L0

NRT

1

14,3

PS

LTA

 

0,007

0,096

TM_0_HKM2__

TM

L0

NRT

1

14,3

PS

LTA

 

0,001

0,008

TM_0_NAT___

TM

L0

NRT

2

28,6

PS

LTA

 

0,003

0,043

MW_1_CAL___

MWR

L1

NRT

1

14,3

PS

LTA

DA

0,000

0,000

MW_1_MWR___

MWR

L1

NRT

1

14,3

PS

 

DA

0,003

0,047

OL_1_EFR___

OLCI

L1

NRT

15

214,4

PS

 

DA

12,756

182,153

OL_1_ERR___

OLCI

L1

NRT

1

14,3

PS

 

DA

0,958

13,682

OL_1_RAC___

OLCI

L1

NRT

1

14,3

PS

LTA

DA

0,000

0,000

OL_1_SPC___

OLCI

L1

NRT

1

14,3

PS

LTA

DA

0,000

0,000

SL_1_RBT___

SLSTR

L1

NRT

34

471,6

PS

 

DA

13,227

188,876

SR_1_CAL___

SRAL

L1

NRT

1

14,3

PS

LTA

DA

0,000

0,000

SR_1_SRA_A_

SRAL

L1

NRT

10

142,9

PS

 

DA

4,863

69,391

SR_1_LAN_RD

SRAL

L1

NRT

10

142,9

PS

 

DA

0,080

1,140

OL_2_LFR___

OLCI

L2

NRT

15

214,4

PS

 

DA

1,483

21,183

OL_2_LRR___

OLCI

L2

NRT

1

14,3

PS

 

DA

0,174

2,485

SL_2_LST___

SLSTR

L2

NRT

34

471,6

PS

 

DA

2,000

28,566

SR_2_LAN_SI

SRAL

L2

NRT

6

85,7

PS

 

DA

0,073

1,044

SR_2_LAN_HY

SRAL

L2

NRT

6

85,7

PS

 

DA

0,085

1,218

SR_2_LAN_LI

SRAL

L2

NRT

6

85,7

PS

 

DA

0,071

1,009

OL_0_EFR___

OLCI

L0

NTC

1

14,3

PS

 

 

9,134

130,436

SL_0_SLT___

SLSTR

L0

NTC

1

14,3

PS

 

 

4,637

66,209

MW_1_MWR___

MWR

L1

NTC

1

14,3

PS

 

DA

0,003

0,046

OL_1_EFR___

OLCI

L1

NTC

15

214,4

PS

 

DA

12,785

182,565

SL_1_RBT___

SLSTR

L1

NTC

34

471,6

PS

 

DA

13,198

188,463

SR_1_SRA_A_

SRAL

L1

NTC

2

28,6

PS

 

DA

4,634

71,110

SR_1_LAN_RD

SRAL

L1

NTC

2

28,6

PS

 

DA

0,081

1,150

SY_1_MISR__

SYN

L1

NTC

1

14,3

PS

 

DA

3,853

55,023

OL_1_ERR___

OLCI

L1

NTC

1

14,3

PS

 

DA

0,958

13,682

OL_2_LFR___

OLCI

L2

NTC

15

214,4

PS

 

DA

1,492

21,306

OL_2_LRR___

OLCI

L2

NTC

1

14,3

PS

 

DA

0,174

2,489

SL_2_FRP___

SLSTR

L2

NTC

34

471,6

PS

 

DA

2,330

33,277

SL_2_LST___

SLSTR

L2

NTC

34

471,6

PS

 

DA

1,924

27,479

SR_2_LAN_SI

SRAL

L2

NTC

2

28,6

PS

 

DA

0,063

0,907

SR_2_LAN_HY

SRAL

L2

NTC

2

28,6

PS

 

DA

0,080

1,137

SR_2_LAN_LI

SRAL

L2

NTC

2

28,6

PS

 

DA

0,044

0,622

SY_2_AOD___

SYN

L2

NTC

1

14,3

PS

 

DA

0,034

0,481

SY_2_SYN___

SYN

L2

NTC

15

214,4

PS

 

DA

5,122

73,145

SY_2_V10___

SYN

L2

NTC

0

0,0

PS

 

DA

0,020

0,292

SY_2_VG1___

SYN

L2

NTC

0

0,0

PS

 

DA

0,058

0,830

SY_2_VGK___

SYN

L2

NTC

1

14,3

PS

 

DA

0,042

0,600

SY_2_VGP___

SYN

L2

NTC

1

14,3

PS

 

DA

0,029

0,409

SR_0_SRA___

SRAL

L0

STC

1

14,3

PS

 

 

4,615

65,896

MW_1_MWR___

MWR

L1

STC

1

14,3

PS

 

DA

0,003

0,047

SR_1_SRA_A_

SRAL

L1

STC

2

28,6

PS

 

DA

4,522

69,391

SR_1_LAN_RD

SRAL

L1

STC

2

28,6

PS

 

DA

0,079

1,129

SY_1_MISR__

SYN

L1

STC

1

14,3

PS

 

DA

3,853

55,023

SR_2_LAN_SI

SRAL

L2

STC

2

28,6

PS

 

DA

0,064

0,916

SR_2_LAN_HY

SRAL

L2

STC

2

28,6

PS

 

DA

0,079

1,133

SR_2_LAN_LI

SRAL

L2

STC

2

28,6

PS

 

DA

0,046

0,659

SY_2_SYN___

SYN

L2

STC

15

214,4

PS

 

DA

4,038

57,659

SY_2_V10___

SYN

L2

STC

0

0,0

PS

 

DA

0,018

0,261

SY_2_VG1___

SYN

L2

STC

0

0,0

PS

 

DA

0,058

0,827

SY_2_VGK___

SYN

L2

STC

1

14,3

PS

 

DA

0,076

1,084

SY_2_VGP___

SYN

L2

STC

1

14,3

PS

 

DA

0,029

0,409

HK_RAW__

TM

RAW

NRT

1

14,3

 

 

 

0,005

0,077

Auxiliary:

TYPE

Asynchronous/Systematic

Level

#Num/day

P

A

D

Volume per day [GB]

Volume [GB]

AUX_MOEORB

Systematic

AUX

1

POD

-

DA

AUX_POEORB

Systematic

AUX

1

POD

-

DA

AUX_PRCPTF

Systematic

AUX

1

POD

-

DA

AUX_GNSSRD

Systematic

AUX

2

POD

LTA

DA

0,0600

AUX_PROQUA

Systematic

AUX

1

POD

-

DA

0,0159

AUX_COMB

Systematic

AUX

1

POD

 

DA

0,0020

SR___POE_AX

Systematic

AUX

9

POD

-

DA

AX___MF1_AX

Systematic

AUX

8

ADGS

LTA

DA

1,3800

AX___MFA_AX

Systematic

AUX

4

ADGS

LTA

DA

0,0500

AX___MA1_AX

Systematic

AUX

4

ADGS

LTA

DA

0,6300

AX___MF2_AX

Systematic

AUX

8

ADGS

LTA

DA

5,4800

AX___MA2_AX

Systematic

AUX

4

ADGS

LTA

DA

2,7800

AX___FPO_AX

Systematic

AUX

1

ADGS

LTA

DA

0,0000

AX___FRO_AX

Systematic

AUX

1

ADGS

LTA

DA

0,0018

SR_1_CA{1L,1S,2K,2C}AX

Systematic

AUX

6

PS

LTA

DA

0,0678

MW_1_{NIR,DNB,MON}_AX

Systematic

AUX

14,28

PS

LTA

DA

3,0702

SL_1_VSC_AX

Systematic

AUX

14,28

PS

LTA

DA

0,0002

SR___MGNPAX

Systematic

AUX

1

ADGS

LTA

DA

0,0006

SR___POEPAX

Systematic

AUX

1

ADGS

LTA

DA

0,0006

SR_2_PMPPAX

Systematic

AUX

1

ADGS

LTA

-

0,0004

SR_2_PCPPAX

Systematic

AUX

1

ADGS

LTA

DA

0,0004

SR___MDO_AX

Systematic

1

ADGS

LTA

DA

0,0001

SR___POESAX

Systematic

1

ADGS

LTA

DA

0,0001

SR_2_PMPSAX

Systematic

1

ADGS

LTA

DA

0,0000

SR_2_RMO_AX

Systematic

4

ADGS

LTA

DA

0,0061

SR_2_PMO_AX

Systematic

4

ADGS

LTA

DA

0,0061

SR_2_POL_AX

Systematic

1

ADGS

LTA

DA

0,0003

SR_2_PGI_AX

Systematic

1

ADGS

LTA

DA

0,0002

SR_2_RGI_AX

Systematic

1

ADGS

LTA

DA

0,0002

SR_1_USO_AX

Systematic

1

ADGS

LTA

DA

0,0007

SR___MGNSAX

Systematic

1

ADGS

LTA

DA

0,0001

SR_2_SIC{N,S}AX

Systematic

1

ADGS

LTA

DA

0,0021

SR_2_SIF{N,S}AX

Systematic

1

ADGS

LTA

DA

0,0021

SR_2_ICTNAX

Systematic

1

ADGS

LTA

DA

0,0060

SR_2_ICTSAX

Systematic

1

ADGS

LTA

DA

0,0042

SL_2_SSTAAX

Systematic

1

ADGS

LTA

DA

0,0160

SL_2_DIMSAX

Systematic

1

ADGS

LTA

DA

0,0024

AX___OSF_AX

Asynchronous

AUX

ADGS

LTA

DA


10.4.1. Sentinel 5P

NTC is equivalent to the OFFL.

There is one L0 flow that feeds both NRT and NTC chains.

TYPE

Instrument

Level

Timeliness

#Num/orbit/unit

#Num/day

P

A

D

Volume per Orbit GB

Volume per day GB

OPER_L0__ENG_A_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

0,014

0,199

OPER_L0__ODB_1_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

0,955

13,561

OPER_L0__ODB_2_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

2,985

42,387

OPER_L0__ODB_3_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

2,985

42,387

OPER_L0__ODB_4_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

2,985

42,387

OPER_L0__ODB_5_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

2,985

42,387

OPER_L0__ODB_6_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

2,985

42,387

OPER_L0__ODB_7_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

1,657

23,529

OPER_L0__ODB_8_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

1,657

23,529

OPER_L0__SAT_A_

TROPOMI

L0

NTC

5,5

12,7

LTA

DA

0,002

0,028

OFFL_L1B_CA_SIR

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,55

50,410

OFFL_L1B_CA_UVN

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

16,857

239,369

OFFL_L1B_ENG_DB

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

0,06

0,852

OFFL_L1B_IR_SIR

TROPOMI

L1B

NTC

1

1

PS

LTA

DA

0,004

0,057

OFFL_L1B_IR_UVN

TROPOMI

NTC

1

1

PS

LTA

DA

0,012

0,170

OFFL_L1B_RA_BD1

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

0,681

9,670

OFFL_L1B_RA_BD2

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,571

50,708

OFFL_L1B_RA_BD3

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,571

50,708

OFFL_L1B_RA_BD4

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,571

50,708

OFFL_L1B_RA_BD5

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,571

50,708

OFFL_L1B_RA_BD6

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

3,571

50,708

OFFL_L1B_RA_BD7

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

2,143

30,431

OFFL_L1B_RA_BD8

TROPOMI

L1B

NTC

1

14,5

PS

LTA

DA

2,143

30,431

OFFL_L2__AER_AI

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,219

3,110

OFFL_L2__AER_LH

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,086

1,221

OFFL_L2__CH4_

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,061

0,866

OFFL_L2__CLOUD_

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,512

7,270

OFFL_L2__CO____

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,209

2,968

OFFL_L2__FRESCO

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,206

2,925

OFFL_L2__HCHO_

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,757

10,749

OFFL_L2__NO2___

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,606

8,605

OFFL_L2__NP_BD3

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,435

6,177

OFFL_L2__NP_BD6

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,433

6,149

OFFL_L2__NP_BD7

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,209

2,968

OFFL_L2__03_TCL

TROPOMI

L2

NTC

1

1

PS

LTA

DA

0,001

0,014

OFFL_L2__O3__PR

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,391

5,552

OFFL_L2__O3____

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

0,335

4,757

OFFL_L2__SO2___

TROPOMI

L2

NTC

1

14,5

PS

LTA

DA

1,064

15,109

NRTI_L1B_ENG_DB

TROPOMI

L1B

NRT

20,5

288

PS

0,109

1,548

NRTI_L1B_RA_BD1

TROPOMI

L1B

NRT

12

179

PS

1,36407

19,370

NRTI_L1B_RA_BD2

TROPOMI

L1B

NRT

12

179

PS

7,87189

111,781

NRTI_L1B_RA_BD3

TROPOMI

L1B

NRT

12

179

PS

7,87189

111,781

NRTI_L1B_RA_BD4

TROPOMI

L1B

NRT

12

179

PS

7,87189

111,781

NRTI_L1B_RA_BD5

TROPOMI

L1B

NRT

12

179

PS

7,87189

111,781

NRTI_L1B_RA_BD6

TROPOMI

L1B

NRT

12

179

PS

7,87189

111,781

NRTI_L1B_RA_BD7

TROPOMI

L1B

NRT

12

179

PS

3,66583

52,055

NRTI_L1B_RA_BD8

TROPOMI

L1B

NRT

12

179

PS

3,66583

52,055

NRTI_L2__AER_AI

TROPOMI

L2

NRT

12

179

PS

DA

0,23153

3,288

NRTI_L2__AER_LH

TROPOMI

L2

NRT

12

179

PS

DA

0,08779

1,247

NRTI_L2__CLOUD_

TROPOMI

L2

NRT

12

179

PS

DA

0,52093

7,397

NRTI_L2__CO____

TROPOMI

L2

NRT

12

179

PS

DA

0,22960

3,260

NRTI_L2__FRESCO

TROPOMI

L2

NRT

12

179

PS

DA

0,21802

3,096

NRTI_L2__HCHO_

TROPOMI

L2

NRT

12

179

PS

DA

0,85858

12,192

NRTI_L2__NO2___

TROPOMI

L2

NRT

12

179

PS

DA

0,61268

8,700

NRTI_L2__03_TCL

TROPOMI

L2

NRT

0,07

1

PS

DA

0,00008

0,001

NRTI_L2__O3__PR

TROPOMI

L2

NRT

12

179

PS

DA

0,41549

5,900

NRTI_L2__O3____

TROPOMI

L2

NRT

12

179

PS

DA

0,37324

5,300

NRTI_L2__SO2___

TROPOMI

L2

NRT

12

179

PS

DA

1,14789

16,300

Auxiliary:

TYPE

Asynchronous/Systematic

Level

#Num/day

P

A

D

Volume per day [GB]

Volume [GB]

AUX_MET_2D

Systematic

AUX

2

PS

LTA

DA

0,100

AUX_MET_QP

Systematic

AUX

2

PS

LTA

DA

1,423

AUX_MET_TP

Systematic

AUX

2

PS

LTA

DA

1,236

AUX_CTMCH4 (*)

Systematic

AUX

0,003

MPC

LTA

DA

0,001

AUX_CTM_CO (*)

Systematic

AUX

0,003

MPC

LTA

DA

0,000

AUX_CTMANA

Systematic

AUX

1

PS

LTA

DA

1,527

AUX_CTMFCT

Systematic

AUX

1

PS

LTA

DA

7,799

AUX_NISE

Systematic

AUX

1

EXT

LTA

DA

0,002

AUX_IERS_B (**)

Systematic

AUX

0,033

EXT

LTA

 

0,000

AUX_IERS_C (*)

Systematic

AUX

0,003

EXT

LTA

 

0,000

VIIRS_CM

Systematic

AUX

149,7

PS

LTA

 

31,875

VIIRS_L1B_GEO

Systematic

AUX

990

PS

LTA

 

24,438

VIIRS_L1B_RR

Systematic

AUX

2970

PS

LTA

 

14,375

VIIRS_CP

Systematic

AUX

149,7

PS

LTA

 

7,906

VIIRS_DCOMP

Systematic

AUX

149,7

PS

LTA

 

23,906

VIIRS_CTH

Systematic

AUX

149,7

PS

LTA

 

58,438

(*) updated once a year

(**) updated once a month

Compare Documents

Contents

Scroll to Top