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1 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
ABSTRACT
The “Big Data” topic is one of the most heard buzz words within today's IT and
Data community. This presentation reflects on some aspects of the big data
hype and addresses some key issues as they are perceived by the data
providers and the users. An important aspect in this discussion is the notion
that users often need data in order to get answers to their questions – which is
not a new issue as such however, in the big data era the generation of such
answers is due to the exponential growth of the base data representing a
significant challenge.
The question is on how this could be supported and to what extend by the Data
providers and others.
An overview is presented on how EUMETSAT considers those aspects within the
context of its existing operational data services but also their big data related
evolutions. In this context the different models of data delivery (push – pull &
nrt – online/offline) are discussed and the bridge a data provider might build in
order to make steps towards the user for easier access to the actual information
the user requires.
Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int2
MONITORING WEATHER
AND CLIMATE FROM SPACE
Reflections on the big data thematic
Data Science Symposium 26.10.2015 - Delft
Lothar Wolf
Competence Area Manager for Data Services
Lothar.Wolf@eumetsat.int
3 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT OVERVIEW
4 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
HUNGARY
Member States
BULGARIA
ICELAND
SERBIAAUSTRIA BELGIUM
DENMARK FINLAND
FRANCE GERMANY GREECE
IRELAND ITALY
UNITED KINGDOMTURKEY
SWEDENSPAIN
PORTUGAL
NORWAYTHE NETHERLANDSLUXEMBOURG
CROATIA
POLAND
LATVIA
SLOVENIA
ROMANIA
CZECH REPUBLIC
LITHUANIA
ESTONIA
SLOVAK
REPUBLIC
SWITZERLAND
EUMETSAT is an intergovernmental organisation with
30 Member States and 1 Cooperating State
5 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT headquarters
6 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT Mission
 To establish, maintain and exploit
European operational meteorological
satellite systems, while considering the
recommendations of WMO as much
as possible
 A further objective is to contribute to
operational climate monitoring and
detection of global climatic changes
 By fulfilling these objectives, contribute
to environmental monitoring, where
interactions with the ocean and the
atmosphere are involved
 Deliver cost-effective
operational
satellite data and products
that satisfy
the meteorological and
climate data requirements of
its Member States
 Encourage more users to
benefit from
the increasing range of
EUMETSAT
data and products
7 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
Safety of life, property
and infrastructure
Transport Climate policy and
environment protection
….... ......
Areas benefitting from weather forecasting
Energy, agriculture,
tourism
8 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
Current EUMETSAT satellites
METOP-B
JASON-2
METEOSAT-10 METEOSAT-9
METEOSAT-7
METOP-A (98.7° incl.)
EUMETSAT POLAR SYSTEM
In nominal mid-morning sun
synchronous orbit at 817km
altitude ,as part of the EUMETSAT
Polar System (EPS) .
JASON-2 (66° incl.)
OCEAN SURFACE TOPOGRAPHY
In nominal non-synchronous low
Earth orbit at 1,336km altitude, in
support of the Ocean Surface
Topography Mission.
METEOSAT-7 (57.5° EAST)
INDIAN OCEAN DATA COVERAGE
Operated in support of the Indian
Ocean Data Coverage (IODC)
mission, bridging an observational
gap in this region.
METEOSAT-9 (9.5° EAST)
RAPID SCANNING SERVICE (RSS)
Provides the Rapid Scanning
Service (RSS) delivering more
frequent images every five
minutes over parts of Europe,
Africa and the adjacent seas.
METEOSAT-8 (3.5° EAST)
BACKUP SERVICE
Serves as a back-up to both the
Meteosat-9 and -10 spacecraft for
full disc imagery and rapid
scanning.
METOP-A
METEOSAT-8
METOP-B (98.7° incl.)
EUMETSAT POLAR SYSTEM
In orbit at 817 km altitude, the
primary operational satellite of the
EUMETSAT Polar System (EPS).
METEOSAT-10 (0°)
METEOSAT FULL DISC IMAGERY
Positioned at 0° supporting the
prime Meteosat full disc imagery
service over the European continent,
Africa and parts of the Atlantic and
Indian oceans.
9 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT’s geostationary and polar-orbiting
satellite programmes
Geostationary
Primary mission: “Now casting” of rapidly
developing, high-impact weather up to six
hours ahead.
 One of the most challenging tasks of the forecasters, vital
for the safety of life, property and infrastructure
 Requires informative images of the atmosphere at a high
frequency (some minutes) that can only be achieved from
the geostationary orbit (36,000 km)
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EUMETSAT’s geostationary and polar orbiting
satellite programmes
Polar-orbiting
A second system in lower orbit is needed
to complement the data from geostationary
orbit and provide global coverage.
 Flying at a much lower altitude (817 km), Metop satellites
deliver a wealth of less frequent but global and quantitative
observations which are the most critical inputs to the
Numerical Weather Prediction models used to forecast
weather up to 10 days and for climate monitoring
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MTG – Overall system configuration
Satellite Control Centre
Mission Control Centre
Product Processing Facilities
Data Centre Archive
Data Dissemination via EUMETCast
Direct reception by users
in all countries
EUMETSAT Network of
Satellite Application
Facilities (SAFs)
External data sources
Search and
Rescue Beacons
TELEMETRY, TELECOMMAND
AND CONTROL
GROUND STATION SITES
EUMETSAT
CORE GROUND SEGMENT
MTG-1
RAPID SCAN SERVICE
MTG-S MTG-1
FULL SCAN SERVICE
MISSION DATA
ACQUISITION
GROUND STATION SITES
Search and Rescue
Mission Control Centres
Data Collection
Platforms
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EUMETSAT mission planning
03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40YEAR...
METEOSAT FIRST GENERATION
METEOSAT SECOND GENERATION
METEOSAT THIRD GENERATION (MTG)
EUMETSAT POLAR SYSTEM (EPS)
METEOSAT-7
METEOSAT-8
METEOSAT-9
METEOSAT-10
MSG-4/METEOSAT-11*
MTG-I-1
MTG-S-1
MTG-I-2
MTG-I-3
MTG-S-2
MTG-I-4
METOP-A
METOP-B
METOP-C
EPS-SECOND GENERATION (EPS-SG)
METOP-SG SOUNDING & IMAGERY SATELLITES
METOP-SG MICROWAVE SATELLITES
JASON
JASON-2
JASON-3
JASON CONTINUITY OF SERVICES (JASON-CS)
Only the full operational phase of each mission is represented, excluding commissioning.
* MSG-4/Meteosat-11 will be stored in orbit, before replacing Meteosat-10
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Copernicus is an EC programme
aiming to achieve an autonomous,
multi-level operational Earth
observation capacity
COPERNICUS
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Copernicus
• PART OF THE COPERNICUS MANDATE IS TO USE DATA FROM
METEOSAT, METOP AND JASON-2 OPERATIONAL SATELLITE SYSTEMS
ESTABLISHED, MAINTAINED AND OPERATED BY EUMETSAT.
• OPERATION OF COPERNICUS-DEDICATED MISSIONS ON
ATMOSPHERE AND OCEANS FALLING WITHIN EUMETSAT’S MANDATE
I.E. THE SENTINEL-3 MARINE MISSION AND THE JASON-3 AND JASON-
CS MISSIONS OF THE COPERNICUS HIGH-PRECISION OCEAN
ALTIMETRY (HPOA) ACTIVITY.
• PLANNING, DEVELOPMENT AND INTEGRATION INTO FUTURE
EUMETSAT SYSTEMS OF COPERNICUS MISSIONS DEDICATED TO
ATMOSPHERIC CHEMISTRY (SENTINEL-4 AND MTG; SENTINEL-5 AND
EPS-SG), AND THEIR EXPLOITATION IN FULL SYNERGY WITH
EUMETSAT’S OWN MISSIONS
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Copernicus
• MAKING OPTIMAL USE OF THE EUMETSAT MULTI-MISSION
INFRASTRUCTURE IN THE COPERNICUS FRAMEWORK, INCLUDING
THE EUMETCAST REAL-TIME DATA DISSEMINATION SYSTEM,
EUMETSAT EARTH OBSERVATION PORTAL AND ITS ARCHIVES.
• DELIVERY TO THE COPERNICUS PROGRAMME OF DATA AND
PRODUCTS AVAILABLE FROM AND AGREED WITH EUMETSAT
PARTNERS IN THE UNITED STATES, CHINA, INDIA AND JAPAN.
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METEOSAT JASON-2 INITIAL JOINT POLAR SYSTEM
METOP NOAA SATELLITES
CONTROL AND
DATA ACQUISITION
DATA CENTRE
EUMETSAT HEADQUARTERS
SATELLITE APPLICATION
FACILITIES
WITHIN EUMETSAT MEMBER STATES
THIRD-PARTY
DATA SOURCES
REAL TIME DISSEMINATION OF DATA AND PRODUCTS VIA EUMETCAST
APPLICATIONS GROUND SEGMENT
Central processing and
generation of products
Distributed processing and
generation of products
USERS
FLIGHT
OPERATIONS
EUMETSAT ground segment overview
METEOROLOGICAL PRODUCT
EXTRACTION
EUMETSAT HEADQUARTERS
PRE-PROCESSING
EUMETSAT HEADQUARTERS
17 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
REFLECTIONS ...
 Big Data
 Hype cycle
 Use cases
 Push
 Pull
 Standards
 Interoperability
 Discovery
 Search
 Registration
 Fees
 Cost
 Resources
 Information
 Data
 User
 Provider
 Added value
 Question
 Result
 Infrastructure
 Evolution
 Access
 Subscription
 Archive
 Replication
 DOI
 Processing
 Data mining
 Non discriminative
 User algorithms
 Data Policies
 Public Service
 Catalogues
 Operations
 Research
 Delivery
 Retrieval
 Diversity
 Scalability
 Reliability
 Mission
 Bridge
 Operational
 Amazon/Google
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Gartner’s Hype Cycle 2015
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Evolution of data rates
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EUMETSAT Data Centre growth
Yearly retrieval
YEAR 2012
VOLUMEINTERABYTES
201120102009200820072006200520042003
1800
1600
1400
1200
1000
800
600
400
200
0
Yearly ingestion
2013
21 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
IS THE SITUATION A “NEW PROBLEM”?
? ... Data ...
Algorithm ...
Information ...
Answer
-Distributed data sources
-Heterogeneous data access functions & services
-Data delivery as well as data retrievals
-Large data volumes
-Information generation at the user end
22 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
DAR – DISCOVERY ACCESS RETRIEVAL
Is it the main “job” of a user to search for data?
Search and Discovery are just the first step ...
One-stop shop user experience is key
Exploitation of the individual strengths of each data provider by
systematic use of interoperability standards for Meta data,
Search & Discovery
Internal Services & Functions
Individual Strengths &
Contributions
Interoperable Service Layer
(based on standards)
DAR Portals
Data
Provider 1
Processing
...
Data
delivery ...
Archive ...
Data
Provider N
Processing
...
Archive ...
Data
delivery ...
23 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
BRINGING DATA TO THE USER ...
Push model
Data driven
To the doorstep
Continuous delivery of new data
Typically guaranteed service levels
Pull model
Off- & On-line, interactive, time series
Bespoke and/or user defined data areas of interest
Typically without SLA
 User infrastructure dependent
24 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
BRINGING DATA TO THE USER ...
NRT world
Push model, Fast, current, to the doorstep
Operational users
Continuous delivery of new data & products & data sets
Typically guaranteed service levels
Offline world
Pull model, Orders, time series
Specific formats
Non-time critical and typically without SLA
 Media delivery
The “grey zone” in between
Pull model
Faster and easier than offline
interactive
Added value & bespoke functions/processing
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BRINGING USERS TO THE DATA ...
Question  Data  Algorithm  Information  Answer
Data providers awareness of the information potential and science
that is perceived to be obtained from the base data
Provision of added services on the “base” data to allow easier
information extraction
Interconnect Data access across different Providers via
Interoperability
Manage and interact with the user communities
Develop services in the “grey zone”
26 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
BUILDING THE “BRIDGE” ...
Data Provider builds a “Bridge” for the User by:
Highly Interactive User communities engagement process
Enabling easy and homogeneous access to the data
Pre-paring the data
Diversity of delivery mechanisms
Harmonised access to push & pull models
Efficient use of supporting technologies
Understanding and translation of a variety of data policies
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EUMETSAT DATA SERVICES
RECOGNISING THE SCOPE ...
One fits all is not the right approach - push & pull is needed as well as “bringing
data to the users” & “bringing users to the data”
Fully service oriented approach required
Big Data and associated technologies raise also questions on: Privacy, IPRs, User
credentials, IT Security
“Safe harbor” concepts are booming
Fast developing technology supporting the big data concepts
“Free to the user” however represents for data providers potentially substantial
cost
New business models are possible (public services, downstream services)
28 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT DATA SERVICES
DATA SERVICES VIDEO
EUMETSAT made the link and takes the related steps
Re-use of existing operational capabilities
Evolution of the service portfolio in full user interaction
•Sequence of pilots with direct benefits to the users
Formalized user interaction processes
Service based interfaces
Interoperable Data Discovery, Access & Retrieval
Diverse Delivery mechanisms addressing diverse use cases (NRT, Online, Offline)
with equal service delivery to users
Considerations on how can data serve as information
External Data
Providers
SAFs
Partner Agencies
(NOAA, CMA,
ECMWF, JMA,
CNES, NMSs –
MF, DWD, ...)
Data
Data
Data
Data
EUMETSATGroundSegment
Data
Multi-MissionDisseminationElements
Internet Data Service
&
ODA
EOPORTAL
DATACENTRE
(archive)
EUMETSATs ground
stations network
EUMETCast
Uplink
DVB-S2 Broadcast
Order retrievals
User requests (search, order...) /registration
Push, no SLA,
unicast, multicast
Download, pull, no
SLA
Push, guaranteed SLA,
unicast, multicast
Direct Dissemination Data
Dristributed search
Order Subscription Request & Responses
GEONETCast catalogue & Metadata
Exchange
Product search,
order request,
order status
Push, guaranteed
SLA, multicast
Data
Multicast
Multicast
+ unicast
unicast
Multicast
+ unicast
GEANT
Internet
RMDCN/WIS
Internet
Overall EUMETSAT Ground Segment including Multi-Mission Elements
Direct disseminated data
Offline/Archive data provision
Common service (NWC)
High volume service (NWP)
Data for WMO global exchange, bi-lateral
data exchange with required service levels
RGB imagery, ...
Potentially:
High volume pre-operational or test data
without agreed service levels, bi-lateral data
exchange without agreed services levels
29 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT Search & Discovery
Key Features:
Product Navigator provides
metadata descriptions, data
provider and data access
information.
Includes all EUMETSAT
products and third-party
products on EUMETCast.
Uses open standards (e.g.
OGC, Inspire) for catalogue
interoperability with other
organisations.
30 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETCast – NRT dissemination
Key Features:
Off-the-shelf, commercially available DVB
reception components
One-stop-shop - many data services via one
station
Secure delivery – multicast to a specific user, or
group of users supporting any Data Policy
implementation
Handling many file formats, high and low volume
data and supporting high-timeliness delivery
requirements
Worldwide geographic coverage through
GEONETCast partnership
EUMETCast Terrestrial Demonstration Service for
high volume data provision to bi-lateral partners
31 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT Data Centre – offline dissemination
 Archive dating back to 1981
 1.1 Petabytes stored
 1.5 Petabytes
retrieved annually
 Raw and reprocessed data,
centrally and decentralised produced
 Networked with Satellite
Application Facilities (SAFs)
 Access online via
Product Navigator
32 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
Climate data record project – information generation
SATELLITE
DATA
FUNDAMENTAL
CLIMATE DATA
RECORDS*
THEMATICAL
CLIMATE DATA
RECORDS**
MAJOR
MODEL-BASED
REANALYSIS
CLIMATE
INFORMATION
RECORDS
ADAPTION &
MITIGATION POLICY
AND PLANNING
(DECISION MAKING)
OPERATIONAL
MONITORING
OF WEATHER
AND THE
ENVIRONMENT
Short and medium latency
Sustained applications
Long-term information preservation
Climate Data Records
ARCHIVED
SATELLITE DATA
AND RECORDS
Climate services
OPERATIONAL
CLIMATE
MONITORING
LONGER TERM
CLIMATE
VARIABILITY
& CLIMATE
CHANGE ANALYSIS
* Fundamental
Climate Data Record
(FCDR):
a long-term data record
of calibrated and
quality-controlled
sensor data designed
to allow the generation
of homogeneous
products that are
accurate and stable
enough for climate
monitoring
** Thematic Climate
Data Record (TCDR):
a long-term data record
of validated and
quality-controlled
geophysical variables
derived from FCDRs.
ENVIRONMENTAL
DATA RECORDS
INTERIM CLIMATE
DATA RECORDS
Data conversion User service System performance monitoring
and automated corrections
Re-calibration / inter-calibration / reprocessing
33 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT Data Centre and Inter-Calibration –
information generation
 Archive of raw and re-processed
data dating back to 1981
 Data base for inter-calibration
of sensors over time and
CDR generation.
Fig: Illustration of time series of radiance
correction coefficients and their uncertainties.
t
∆x
Time series of bias estimated from:
– GSICS Near Real-Time Correction
– GSICS Re-Analysis Correction
34 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT SAF network across Europe
EUMETSAT NETWORK OF
SATELLITE APPLICATION
FACILITIES
35 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
Supporting and expanding the user base
 Established End-User requirements process
 User involving process for the evolution of the data service portfolio
 Training
 Fellowships
 Capacity building
 Infusing science to meet evolving user requirements
 Engagement with also new user communities
 International partnerships
 Cooperation with other operators & data providers
36 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
THANK YOU
37 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
ANNEX SLIDES
38 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
The data provided by Meteosat satellites make a vital
contribution to daily weather forecasting, in particular for
nowcasting and very short range forecasting of high impact
weather like thunderstorms and fog over Europe, Africa and
adjacent seas.
 Operated as a two-satellite system since 2006:
 One satellite (currently Meteosat-10) provides
“full disc” images every 15 minutes over Europe,
Africa and part of the Atlantic and Indian oceans.
 A second (currently Meteosat-9) provides “rapid scan”
images every five minutes over European
continent only.
 A further satellite (currently Meteosat-8) serves
as a back-up for both the full disc and rapid
scanning services.
Meteosat Second Generation
39 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EUMETSAT Polar System (EPS)
 The EUMETSAT Polar System is comprised of two
polar-orbiting satellites (Metop-A and -B) operating
in parallel and their respective ground segments.
 Delivers continuous global observations for
meteorological applications and climate monitoring.
 Constitutes the European contribution to the Initial
Joint Polar System (IJPS) with the US National
Oceanic and Atmospheric Administration (NOAA).
40 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
 Flying at an altitude of 817 km, each Metop satellite carries
the same dedicated, sophisticated suite of instruments.
 They provide fine-scale global data, which can only
be gathered in the low Earth orbit, such as:
 vertical profiles of atmospheric temperature
and moisture;
 wind speed and direction at the ocean surface;
 some atmospheric trace gases.
 The satellites deliver data for NWP – the basis of
modern weather forecasting – and climate and
environmental monitoring.
 The three Metop satellites, launched sequentially
(2006, 2012, 2018), will provide continuous data until 2020.
EUMETSAT Polar System (EPS)
41 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
The Jason series: The reference for monitoring
ocean circulation and sea level
 Launched on 20 June 2008, Jason-2 conducts
the Ocean Surface Topography Mission.
 Continuing US-European high-precision altimetry
cooperation involving EUMETSAT, NOAA, CNES, NASA.
 Aimed at expanding the series of high-precision data
initiated by Topex/Poseidon and continued by Jason-1.
 Provides most accurate ocean surface topography
measurements available (a few centimetres) for
operational oceanography and sea level monitoring.
 Jason-2 provides an indispensable reference against
which measurements of all other altimeter missions,
including Copernicus Sentinel-3, are cross-calibrated.
42 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
The Jason series: The reference for monitoring
ocean circulation and sea level
 Starting in 2015, EUMETSAT will support operations
of Jason-3, a recurrent Jason-2 satellite with the
same ground system.
 Jason-3 will provide measurements of sea surface
height to an accuracy better than four centimetres,
every 10 days for a nominal lifetime of five years.
 Jason-3 will be the first mission of the high-
precision ocean altimetry activity from the EU’s
Copernicus Programme.
 The proposed two Jason-CS (Continuity of Service)
satellites will provide observations with higher
resolution along track and greater accuracy,
and ensure consistency with previous Jason
measurements and cross-calibration with Sentinel-3
and other altimetry data.
43 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
 Imagery mission implemented by
a two-satellite MTG-I system:
 Full disc imagery every 10 minutes in 16 spectral
bands
 Fast imaging of European weather every 2.5
minutes
 new Lightning Imager (LI)
 Hyper spectral infrared (IRS)
sounding mission:
 3D mapping of water vapour, temperature,
O3 every 1 hour
 Air quality monitoring and atmospheric chemistry in
synergy with GMES Sentinel-4 Ultraviolet Visible
Meteosat Third Generation
44 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
 4 imaging (MTG-I) and 2 sounding (MTG-S)
satellites,
 start of operations in 2018 and 2019
 operational exploitation: 2018 – 2038
 full MTG mission implemented by two MTG-I
satellites and MTG-S satellite in orbit
Meteosat Third Generation
45 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EPS Second Generation
 Primary mission: further improvement of
observational inputs to Numerical Weather
Prediction models
 Significant improvements of other
applications
 Now casting at high latitudes
 Marine meteorology and operational
oceanography
 Operational hydrology
 Air quality monitoring
 Climate monitoring
46 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int
EPS Second Generation
 New two-satellite system in polar orbit:
 Metop-SG A: optical imagery and
sounding mission
 Metop-SG B: microwave imaging mission
 Continuation and enhancement of polar-
orbiting service to meet growing requirements
in the years 2021 – 2040
 Decision for the full EPS-SG programme
proposal still pending, at least three
Metop-SG A satellites, one or two
Metop-SG B satellites.

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DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

  • 1. 1 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int ABSTRACT The “Big Data” topic is one of the most heard buzz words within today's IT and Data community. This presentation reflects on some aspects of the big data hype and addresses some key issues as they are perceived by the data providers and the users. An important aspect in this discussion is the notion that users often need data in order to get answers to their questions – which is not a new issue as such however, in the big data era the generation of such answers is due to the exponential growth of the base data representing a significant challenge. The question is on how this could be supported and to what extend by the Data providers and others. An overview is presented on how EUMETSAT considers those aspects within the context of its existing operational data services but also their big data related evolutions. In this context the different models of data delivery (push – pull & nrt – online/offline) are discussed and the bridge a data provider might build in order to make steps towards the user for easier access to the actual information the user requires.
  • 2. Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int2 MONITORING WEATHER AND CLIMATE FROM SPACE Reflections on the big data thematic Data Science Symposium 26.10.2015 - Delft Lothar Wolf Competence Area Manager for Data Services Lothar.Wolf@eumetsat.int
  • 3. 3 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT OVERVIEW
  • 4. 4 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int HUNGARY Member States BULGARIA ICELAND SERBIAAUSTRIA BELGIUM DENMARK FINLAND FRANCE GERMANY GREECE IRELAND ITALY UNITED KINGDOMTURKEY SWEDENSPAIN PORTUGAL NORWAYTHE NETHERLANDSLUXEMBOURG CROATIA POLAND LATVIA SLOVENIA ROMANIA CZECH REPUBLIC LITHUANIA ESTONIA SLOVAK REPUBLIC SWITZERLAND EUMETSAT is an intergovernmental organisation with 30 Member States and 1 Cooperating State
  • 5. 5 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT headquarters
  • 6. 6 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Mission  To establish, maintain and exploit European operational meteorological satellite systems, while considering the recommendations of WMO as much as possible  A further objective is to contribute to operational climate monitoring and detection of global climatic changes  By fulfilling these objectives, contribute to environmental monitoring, where interactions with the ocean and the atmosphere are involved  Deliver cost-effective operational satellite data and products that satisfy the meteorological and climate data requirements of its Member States  Encourage more users to benefit from the increasing range of EUMETSAT data and products
  • 7. 7 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Safety of life, property and infrastructure Transport Climate policy and environment protection ….... ...... Areas benefitting from weather forecasting Energy, agriculture, tourism
  • 8. 8 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Current EUMETSAT satellites METOP-B JASON-2 METEOSAT-10 METEOSAT-9 METEOSAT-7 METOP-A (98.7° incl.) EUMETSAT POLAR SYSTEM In nominal mid-morning sun synchronous orbit at 817km altitude ,as part of the EUMETSAT Polar System (EPS) . JASON-2 (66° incl.) OCEAN SURFACE TOPOGRAPHY In nominal non-synchronous low Earth orbit at 1,336km altitude, in support of the Ocean Surface Topography Mission. METEOSAT-7 (57.5° EAST) INDIAN OCEAN DATA COVERAGE Operated in support of the Indian Ocean Data Coverage (IODC) mission, bridging an observational gap in this region. METEOSAT-9 (9.5° EAST) RAPID SCANNING SERVICE (RSS) Provides the Rapid Scanning Service (RSS) delivering more frequent images every five minutes over parts of Europe, Africa and the adjacent seas. METEOSAT-8 (3.5° EAST) BACKUP SERVICE Serves as a back-up to both the Meteosat-9 and -10 spacecraft for full disc imagery and rapid scanning. METOP-A METEOSAT-8 METOP-B (98.7° incl.) EUMETSAT POLAR SYSTEM In orbit at 817 km altitude, the primary operational satellite of the EUMETSAT Polar System (EPS). METEOSAT-10 (0°) METEOSAT FULL DISC IMAGERY Positioned at 0° supporting the prime Meteosat full disc imagery service over the European continent, Africa and parts of the Atlantic and Indian oceans.
  • 9. 9 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT’s geostationary and polar-orbiting satellite programmes Geostationary Primary mission: “Now casting” of rapidly developing, high-impact weather up to six hours ahead.  One of the most challenging tasks of the forecasters, vital for the safety of life, property and infrastructure  Requires informative images of the atmosphere at a high frequency (some minutes) that can only be achieved from the geostationary orbit (36,000 km)
  • 10. 10 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT’s geostationary and polar orbiting satellite programmes Polar-orbiting A second system in lower orbit is needed to complement the data from geostationary orbit and provide global coverage.  Flying at a much lower altitude (817 km), Metop satellites deliver a wealth of less frequent but global and quantitative observations which are the most critical inputs to the Numerical Weather Prediction models used to forecast weather up to 10 days and for climate monitoring
  • 11. 11 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int MTG – Overall system configuration Satellite Control Centre Mission Control Centre Product Processing Facilities Data Centre Archive Data Dissemination via EUMETCast Direct reception by users in all countries EUMETSAT Network of Satellite Application Facilities (SAFs) External data sources Search and Rescue Beacons TELEMETRY, TELECOMMAND AND CONTROL GROUND STATION SITES EUMETSAT CORE GROUND SEGMENT MTG-1 RAPID SCAN SERVICE MTG-S MTG-1 FULL SCAN SERVICE MISSION DATA ACQUISITION GROUND STATION SITES Search and Rescue Mission Control Centres Data Collection Platforms
  • 12. 12 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT mission planning 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40YEAR... METEOSAT FIRST GENERATION METEOSAT SECOND GENERATION METEOSAT THIRD GENERATION (MTG) EUMETSAT POLAR SYSTEM (EPS) METEOSAT-7 METEOSAT-8 METEOSAT-9 METEOSAT-10 MSG-4/METEOSAT-11* MTG-I-1 MTG-S-1 MTG-I-2 MTG-I-3 MTG-S-2 MTG-I-4 METOP-A METOP-B METOP-C EPS-SECOND GENERATION (EPS-SG) METOP-SG SOUNDING & IMAGERY SATELLITES METOP-SG MICROWAVE SATELLITES JASON JASON-2 JASON-3 JASON CONTINUITY OF SERVICES (JASON-CS) Only the full operational phase of each mission is represented, excluding commissioning. * MSG-4/Meteosat-11 will be stored in orbit, before replacing Meteosat-10
  • 13. 13 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Copernicus is an EC programme aiming to achieve an autonomous, multi-level operational Earth observation capacity COPERNICUS
  • 14. 14 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Copernicus • PART OF THE COPERNICUS MANDATE IS TO USE DATA FROM METEOSAT, METOP AND JASON-2 OPERATIONAL SATELLITE SYSTEMS ESTABLISHED, MAINTAINED AND OPERATED BY EUMETSAT. • OPERATION OF COPERNICUS-DEDICATED MISSIONS ON ATMOSPHERE AND OCEANS FALLING WITHIN EUMETSAT’S MANDATE I.E. THE SENTINEL-3 MARINE MISSION AND THE JASON-3 AND JASON- CS MISSIONS OF THE COPERNICUS HIGH-PRECISION OCEAN ALTIMETRY (HPOA) ACTIVITY. • PLANNING, DEVELOPMENT AND INTEGRATION INTO FUTURE EUMETSAT SYSTEMS OF COPERNICUS MISSIONS DEDICATED TO ATMOSPHERIC CHEMISTRY (SENTINEL-4 AND MTG; SENTINEL-5 AND EPS-SG), AND THEIR EXPLOITATION IN FULL SYNERGY WITH EUMETSAT’S OWN MISSIONS
  • 15. 15 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Copernicus • MAKING OPTIMAL USE OF THE EUMETSAT MULTI-MISSION INFRASTRUCTURE IN THE COPERNICUS FRAMEWORK, INCLUDING THE EUMETCAST REAL-TIME DATA DISSEMINATION SYSTEM, EUMETSAT EARTH OBSERVATION PORTAL AND ITS ARCHIVES. • DELIVERY TO THE COPERNICUS PROGRAMME OF DATA AND PRODUCTS AVAILABLE FROM AND AGREED WITH EUMETSAT PARTNERS IN THE UNITED STATES, CHINA, INDIA AND JAPAN.
  • 16. 16 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int METEOSAT JASON-2 INITIAL JOINT POLAR SYSTEM METOP NOAA SATELLITES CONTROL AND DATA ACQUISITION DATA CENTRE EUMETSAT HEADQUARTERS SATELLITE APPLICATION FACILITIES WITHIN EUMETSAT MEMBER STATES THIRD-PARTY DATA SOURCES REAL TIME DISSEMINATION OF DATA AND PRODUCTS VIA EUMETCAST APPLICATIONS GROUND SEGMENT Central processing and generation of products Distributed processing and generation of products USERS FLIGHT OPERATIONS EUMETSAT ground segment overview METEOROLOGICAL PRODUCT EXTRACTION EUMETSAT HEADQUARTERS PRE-PROCESSING EUMETSAT HEADQUARTERS
  • 17. 17 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int REFLECTIONS ...  Big Data  Hype cycle  Use cases  Push  Pull  Standards  Interoperability  Discovery  Search  Registration  Fees  Cost  Resources  Information  Data  User  Provider  Added value  Question  Result  Infrastructure  Evolution  Access  Subscription  Archive  Replication  DOI  Processing  Data mining  Non discriminative  User algorithms  Data Policies  Public Service  Catalogues  Operations  Research  Delivery  Retrieval  Diversity  Scalability  Reliability  Mission  Bridge  Operational  Amazon/Google
  • 18. 18 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Gartner’s Hype Cycle 2015
  • 19. 19 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Evolution of data rates
  • 20. 20 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Data Centre growth Yearly retrieval YEAR 2012 VOLUMEINTERABYTES 201120102009200820072006200520042003 1800 1600 1400 1200 1000 800 600 400 200 0 Yearly ingestion 2013
  • 21. 21 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int IS THE SITUATION A “NEW PROBLEM”? ? ... Data ... Algorithm ... Information ... Answer -Distributed data sources -Heterogeneous data access functions & services -Data delivery as well as data retrievals -Large data volumes -Information generation at the user end
  • 22. 22 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int DAR – DISCOVERY ACCESS RETRIEVAL Is it the main “job” of a user to search for data? Search and Discovery are just the first step ... One-stop shop user experience is key Exploitation of the individual strengths of each data provider by systematic use of interoperability standards for Meta data, Search & Discovery Internal Services & Functions Individual Strengths & Contributions Interoperable Service Layer (based on standards) DAR Portals Data Provider 1 Processing ... Data delivery ... Archive ... Data Provider N Processing ... Archive ... Data delivery ...
  • 23. 23 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int BRINGING DATA TO THE USER ... Push model Data driven To the doorstep Continuous delivery of new data Typically guaranteed service levels Pull model Off- & On-line, interactive, time series Bespoke and/or user defined data areas of interest Typically without SLA  User infrastructure dependent
  • 24. 24 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int BRINGING DATA TO THE USER ... NRT world Push model, Fast, current, to the doorstep Operational users Continuous delivery of new data & products & data sets Typically guaranteed service levels Offline world Pull model, Orders, time series Specific formats Non-time critical and typically without SLA  Media delivery The “grey zone” in between Pull model Faster and easier than offline interactive Added value & bespoke functions/processing
  • 25. 25 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int BRINGING USERS TO THE DATA ... Question  Data  Algorithm  Information  Answer Data providers awareness of the information potential and science that is perceived to be obtained from the base data Provision of added services on the “base” data to allow easier information extraction Interconnect Data access across different Providers via Interoperability Manage and interact with the user communities Develop services in the “grey zone”
  • 26. 26 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int BUILDING THE “BRIDGE” ... Data Provider builds a “Bridge” for the User by: Highly Interactive User communities engagement process Enabling easy and homogeneous access to the data Pre-paring the data Diversity of delivery mechanisms Harmonised access to push & pull models Efficient use of supporting technologies Understanding and translation of a variety of data policies
  • 27. 27 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT DATA SERVICES RECOGNISING THE SCOPE ... One fits all is not the right approach - push & pull is needed as well as “bringing data to the users” & “bringing users to the data” Fully service oriented approach required Big Data and associated technologies raise also questions on: Privacy, IPRs, User credentials, IT Security “Safe harbor” concepts are booming Fast developing technology supporting the big data concepts “Free to the user” however represents for data providers potentially substantial cost New business models are possible (public services, downstream services)
  • 28. 28 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT DATA SERVICES DATA SERVICES VIDEO EUMETSAT made the link and takes the related steps Re-use of existing operational capabilities Evolution of the service portfolio in full user interaction •Sequence of pilots with direct benefits to the users Formalized user interaction processes Service based interfaces Interoperable Data Discovery, Access & Retrieval Diverse Delivery mechanisms addressing diverse use cases (NRT, Online, Offline) with equal service delivery to users Considerations on how can data serve as information External Data Providers SAFs Partner Agencies (NOAA, CMA, ECMWF, JMA, CNES, NMSs – MF, DWD, ...) Data Data Data Data EUMETSATGroundSegment Data Multi-MissionDisseminationElements Internet Data Service & ODA EOPORTAL DATACENTRE (archive) EUMETSATs ground stations network EUMETCast Uplink DVB-S2 Broadcast Order retrievals User requests (search, order...) /registration Push, no SLA, unicast, multicast Download, pull, no SLA Push, guaranteed SLA, unicast, multicast Direct Dissemination Data Dristributed search Order Subscription Request & Responses GEONETCast catalogue & Metadata Exchange Product search, order request, order status Push, guaranteed SLA, multicast Data Multicast Multicast + unicast unicast Multicast + unicast GEANT Internet RMDCN/WIS Internet Overall EUMETSAT Ground Segment including Multi-Mission Elements Direct disseminated data Offline/Archive data provision Common service (NWC) High volume service (NWP) Data for WMO global exchange, bi-lateral data exchange with required service levels RGB imagery, ... Potentially: High volume pre-operational or test data without agreed service levels, bi-lateral data exchange without agreed services levels
  • 29. 29 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Search & Discovery Key Features: Product Navigator provides metadata descriptions, data provider and data access information. Includes all EUMETSAT products and third-party products on EUMETCast. Uses open standards (e.g. OGC, Inspire) for catalogue interoperability with other organisations.
  • 30. 30 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETCast – NRT dissemination Key Features: Off-the-shelf, commercially available DVB reception components One-stop-shop - many data services via one station Secure delivery – multicast to a specific user, or group of users supporting any Data Policy implementation Handling many file formats, high and low volume data and supporting high-timeliness delivery requirements Worldwide geographic coverage through GEONETCast partnership EUMETCast Terrestrial Demonstration Service for high volume data provision to bi-lateral partners
  • 31. 31 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Data Centre – offline dissemination  Archive dating back to 1981  1.1 Petabytes stored  1.5 Petabytes retrieved annually  Raw and reprocessed data, centrally and decentralised produced  Networked with Satellite Application Facilities (SAFs)  Access online via Product Navigator
  • 32. 32 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Climate data record project – information generation SATELLITE DATA FUNDAMENTAL CLIMATE DATA RECORDS* THEMATICAL CLIMATE DATA RECORDS** MAJOR MODEL-BASED REANALYSIS CLIMATE INFORMATION RECORDS ADAPTION & MITIGATION POLICY AND PLANNING (DECISION MAKING) OPERATIONAL MONITORING OF WEATHER AND THE ENVIRONMENT Short and medium latency Sustained applications Long-term information preservation Climate Data Records ARCHIVED SATELLITE DATA AND RECORDS Climate services OPERATIONAL CLIMATE MONITORING LONGER TERM CLIMATE VARIABILITY & CLIMATE CHANGE ANALYSIS * Fundamental Climate Data Record (FCDR): a long-term data record of calibrated and quality-controlled sensor data designed to allow the generation of homogeneous products that are accurate and stable enough for climate monitoring ** Thematic Climate Data Record (TCDR): a long-term data record of validated and quality-controlled geophysical variables derived from FCDRs. ENVIRONMENTAL DATA RECORDS INTERIM CLIMATE DATA RECORDS Data conversion User service System performance monitoring and automated corrections Re-calibration / inter-calibration / reprocessing
  • 33. 33 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Data Centre and Inter-Calibration – information generation  Archive of raw and re-processed data dating back to 1981  Data base for inter-calibration of sensors over time and CDR generation. Fig: Illustration of time series of radiance correction coefficients and their uncertainties. t ∆x Time series of bias estimated from: – GSICS Near Real-Time Correction – GSICS Re-Analysis Correction
  • 34. 34 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT SAF network across Europe EUMETSAT NETWORK OF SATELLITE APPLICATION FACILITIES
  • 35. 35 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int Supporting and expanding the user base  Established End-User requirements process  User involving process for the evolution of the data service portfolio  Training  Fellowships  Capacity building  Infusing science to meet evolving user requirements  Engagement with also new user communities  International partnerships  Cooperation with other operators & data providers
  • 36. 36 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int THANK YOU
  • 37. 37 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int ANNEX SLIDES
  • 38. 38 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int The data provided by Meteosat satellites make a vital contribution to daily weather forecasting, in particular for nowcasting and very short range forecasting of high impact weather like thunderstorms and fog over Europe, Africa and adjacent seas.  Operated as a two-satellite system since 2006:  One satellite (currently Meteosat-10) provides “full disc” images every 15 minutes over Europe, Africa and part of the Atlantic and Indian oceans.  A second (currently Meteosat-9) provides “rapid scan” images every five minutes over European continent only.  A further satellite (currently Meteosat-8) serves as a back-up for both the full disc and rapid scanning services. Meteosat Second Generation
  • 39. 39 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EUMETSAT Polar System (EPS)  The EUMETSAT Polar System is comprised of two polar-orbiting satellites (Metop-A and -B) operating in parallel and their respective ground segments.  Delivers continuous global observations for meteorological applications and climate monitoring.  Constitutes the European contribution to the Initial Joint Polar System (IJPS) with the US National Oceanic and Atmospheric Administration (NOAA).
  • 40. 40 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int  Flying at an altitude of 817 km, each Metop satellite carries the same dedicated, sophisticated suite of instruments.  They provide fine-scale global data, which can only be gathered in the low Earth orbit, such as:  vertical profiles of atmospheric temperature and moisture;  wind speed and direction at the ocean surface;  some atmospheric trace gases.  The satellites deliver data for NWP – the basis of modern weather forecasting – and climate and environmental monitoring.  The three Metop satellites, launched sequentially (2006, 2012, 2018), will provide continuous data until 2020. EUMETSAT Polar System (EPS)
  • 41. 41 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int The Jason series: The reference for monitoring ocean circulation and sea level  Launched on 20 June 2008, Jason-2 conducts the Ocean Surface Topography Mission.  Continuing US-European high-precision altimetry cooperation involving EUMETSAT, NOAA, CNES, NASA.  Aimed at expanding the series of high-precision data initiated by Topex/Poseidon and continued by Jason-1.  Provides most accurate ocean surface topography measurements available (a few centimetres) for operational oceanography and sea level monitoring.  Jason-2 provides an indispensable reference against which measurements of all other altimeter missions, including Copernicus Sentinel-3, are cross-calibrated.
  • 42. 42 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int The Jason series: The reference for monitoring ocean circulation and sea level  Starting in 2015, EUMETSAT will support operations of Jason-3, a recurrent Jason-2 satellite with the same ground system.  Jason-3 will provide measurements of sea surface height to an accuracy better than four centimetres, every 10 days for a nominal lifetime of five years.  Jason-3 will be the first mission of the high- precision ocean altimetry activity from the EU’s Copernicus Programme.  The proposed two Jason-CS (Continuity of Service) satellites will provide observations with higher resolution along track and greater accuracy, and ensure consistency with previous Jason measurements and cross-calibration with Sentinel-3 and other altimetry data.
  • 43. 43 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int  Imagery mission implemented by a two-satellite MTG-I system:  Full disc imagery every 10 minutes in 16 spectral bands  Fast imaging of European weather every 2.5 minutes  new Lightning Imager (LI)  Hyper spectral infrared (IRS) sounding mission:  3D mapping of water vapour, temperature, O3 every 1 hour  Air quality monitoring and atmospheric chemistry in synergy with GMES Sentinel-4 Ultraviolet Visible Meteosat Third Generation
  • 44. 44 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int  4 imaging (MTG-I) and 2 sounding (MTG-S) satellites,  start of operations in 2018 and 2019  operational exploitation: 2018 – 2038  full MTG mission implemented by two MTG-I satellites and MTG-S satellite in orbit Meteosat Third Generation
  • 45. 45 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EPS Second Generation  Primary mission: further improvement of observational inputs to Numerical Weather Prediction models  Significant improvements of other applications  Now casting at high latitudes  Marine meteorology and operational oceanography  Operational hydrology  Air quality monitoring  Climate monitoring
  • 46. 46 Data Science Symposium, 26th October 2015, Delft, Lothar.Wolf@eumetsat.int EPS Second Generation  New two-satellite system in polar orbit:  Metop-SG A: optical imagery and sounding mission  Metop-SG B: microwave imaging mission  Continuation and enhancement of polar- orbiting service to meet growing requirements in the years 2021 – 2040  Decision for the full EPS-SG programme proposal still pending, at least three Metop-SG A satellites, one or two Metop-SG B satellites.