1. Anthony Hollingsworth & Johannes Kaiser
Overview of the Guidelines and Requirements for the Candidate Solutions
Anthony Hollingsworth & Johannes Kaiser

2. Anthony Hollingsworth apologises for his absence on Tuesday,
which is due to a visit of Mr. P. Weissenberg to ECMWF.

3. Overview of Presentation
Introduction: Objectives, Study Logic, …
System Layout
Data Flow Characterisation
2nd Workshop Conclusions
Questions for Today and Tomorrow

4. Introduction: Objectives, Study Logic, …

5. HALO – GMES Specific Support Action (SSA)
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Harmonised coordination of Atmosphere, Land and Ocean integrated projects of the GMES backbone (project lifetime: 1/2/2004 – 1/1/2007)
GMES Fast-Track Pilot Services to be operational from 2008
Marine Services (IP MERSEA follow-up)
Land Monitoring (IP GEOLAND-Europe follow-up)
Emergency Response (IP RISK-PREVIEW follow-up)
Proposed GEMS Fast-Track Pilot Services to be operational from 2009 onwards
Atmospheric Services (IP GEMS follow-up)
Global Land Monitoring (IP GEOLAND-Global follow-up)
Security
HALO aims at formulating agreed recommendations to GAC and IPs
Scientific thematic analysis of links:
Direct product exchange
Unaccomplished data demands
Common data
Coordinated solutions to infra-structure in operational mode
Candidate solutions by Alcatel and Astrium
Emergency
Response
Marine
Services
Land
Monitoring
Atmospheric
Services
Security
Global
Land
Monitoring
Now lets look in a bit more detail in the the objects of the HALO SSA. The overall purpose is … And the output should be ….
HALO

6. GMES Fast-Track Pilot Services and HALO
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Marine
Services
Aim of HALO: “Optimising the efficiency of interaction the Atmosphere, Ocean and Land segments by formulating agreed recommendations to A - L - O IPs and GMES steering groups in areas of”
Scientific thematic analysis and coordination
Coordinated solutions to shared problems
Recommendations to the transition to operational status
Definition of Infrastructure Candidate Solutions
Land
Monitoring
Emergency
Response
HALO
Global
Land
Monitoring
Security
Atmospheric
Services

7. Iterative Development of the Guidelines (=Requirements)
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MERSEA IP 1
Initialisation of Guideline
GEMS IP
GEOLAND IP 2
Guideline consolidation 3
Data flow characterisation 4
Definition of candidate
solutions

8. Progress of the Candidate Solution Definition
3/28/2017
2004 Reports:
“ECMWF’s data and products for GMES”
“geoland data and products for GMES”
“MERSEA data and products for GMES”
“GEMS data and products for GMES”
2005 Reports:
“Interacting parts of GEMS, MERSEA and geoland: Data, products and infrastructure”
“HALO Guideline”
2005/2006 Draft Report:
“Infrastructure candidate solutions overview”
What data flows are expected?
draft discussed at 2nd Workshop and updated afterward

9. Chief Objectives of this Meeting
3/28/2017
Project-internal Agreement on
which candidate solutions shall be assessed,
advantages and disadvantages of each,
which one HALO shall recommend.

10. 3/28/2017
System Layout

11. Current System of IPs (2006)
3/28/2017
Model
NWP
Assim.
UK-metoffice
NWP
Retrieval
OLF
Data
Mer
FOAM
MFS
TOPAZ
cator RT
link
ONC
CSP
GEMS
Off -line
NER
m-f
Cor
CLS
link SC
CMS
iolis
ECMWF
OFM
Geoland
GEMS
In-situ
Satellite Agencies
MERSEA

12. GMES Vision 2009: Core Services + Downstream Services
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13. Data Flow Characterisation
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Data Flow Characterisation

14. Data Categories used in the HALO Reports
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categories of exchange
internal: within one IP
interacting: between two IPs
external: between an IP and a third party
observation categories
in-situ
satellite-based
delivery mode
real-time / near-real time
regular
on-demand / offline

15. MERSEA data flow: Interacting, External, Internal
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Data flow
Source
Destination
Delivery Mode
Theme/Product
Meteorological forcing fields
ECMWF
Ocean Model Centre
Regular distribution, real-time analysis and forecasts, Regional High resolution models
Meteorological forecast/NWP Bulletin
GEMS global aerosol products
Mersea retrieval centres
to be checked, initially research mode only
Atmospheric Aerosol data for atmospheric corrections in retrieval
Satellite data
ESA, EUMETSAT, NASA, NOAA
MERSEA Satellite TEP
Regular
Along track, validated
Satellite products
SAT -TEP,
GHRSST, SSALTO, OSI/SAF
Merged, gridded, validated products
In-situ observations
GDAC, RDAC, ARGO, GTSPP, DBCP,
In-situ Data Centre
Regular + On-demand
High quality controlled, merged gridded products, climatology
In-situ observations in real time
ARGO
In Situ - TEP
Real Time flow
ARGO data in real -or near real -time, with QC flags
In Situ - TEP (from ARGO) ?
GSUD / VOS, Ocen time series / BBCP

16. geoland Data Flow: Interacting, Internal
Source
Destination
Delivery Mode
Theme/Product
Meteorological forcing fields for land surface models
ECMWF
Geoland-ONC
Regular
Air temperature/humidity, wind speed, precipitation, incoming radiation (short and longwave)
Geoland Global products
Geoland-CSP
GEMS
Regular + On-demand
Generic Land Cover (300 m – 1 km resolution
Geoland CSP-OFM
vegetation CO2
GEOLAND-OFM
@ ECMWF
to be checked, initially research mode only
Land use change and forest fires
geoland ONC
GEOLAND-ONC
Vegetation data as input for emission models (biogenic and fires): CO2 fluxes, above-ground biomass, stomatal conductance
GEMS global aerosol products
geoland retrieval centres
Atmospheric Aerosol data for atmospheric corrections in retrieval
Geoland Global Gobal products
@ECMWF
ECMWF
Regular + On-demandTo be checked, initially research mode only (TBC)
Biogeophysical Parameters (Rainfall for water cycle, burned area, active fire and LAI for trace gas emission)Vegetation data as input for emission models (biogenic and fires) (TBC)
Satellite forcing fields for land surface models
Improved precipitation fields and incoming radiation (short and longwave)

17. geoland Data Flow: External
Source
Destination
Delivery Mode
Theme/Product
Satellite data
ESA
EUMETSAT
NOAA / NASA
Geoland-CSP
Regular + On-demand
Satellite observation to infer information about the land surface, in three areas : vegetation, radiation, water
in-situ data
Meteo
Regular + On demand
Rainfall
In-situ data
Research labs
On demand
Validation data for Vegetation, radiation, soil moisture products
SPOT Image, NASA
Validation data for Vegetation & Land cover products
Satellite data to be assimilated
NOAA/NASA
CNES
Geoland-ONC
Satellite observation to infer information about the land surface and the vegetation status.
In-situ data for validation
Fluxnet
On-demand
CO2 and water fluxes
GAW
Geoland
radiative surface fluxes

18. GEMS Data Flow: Interacting
Source
Destination
Delivery Mode
Theme/Product
Geoland CSP-OFM
vegetation CO2
GEOLAND-OFM
GEMS
@ ECMWF
to be checked, initially research mode only
Land use change and forest fires
geoland ONC
GEOLAND-ONC
Vegetation data as input for emission models (biogenic and fires): CO2 fluxes, above-ground biomass, stomatal conductance
GEMS global aerosol products
ECMWF
Mersea retrieval centres
Atmospheric Aerosol data for atmospheric corrections in retrieval
geoland retrieval centres
to be checked, initially research mode only
Meteorological forcing fields
Ocean Model Centre
Regular distribution, real-time analysis and forecasts, Regional High resolution models
Meteorological forecast/NWP Bulletin
Meteorological forcing fields for land surface models
Geoland/ONC
Regular
Air temperature/humidity, wind speed, precipitation, incoming radiation (short and longwave)
Geoland Global products
Geoland-CSP
Regular + On-demand
Generic Land Cover (300 m – 1 km resolution

19. GEMS Data Flow: External, Internal
Source
Destination
Delivery Mode
Theme/Product
Satellite data
ESA, EUMETSAT, NOAA / NASA (UNI-BREMEN, UMW)
ECMWF
operational
Raw radiances and satellites products on atmospheric species concentration and fire count/ burnt area
in-situ data
Scattered provider
(NILU, EEA, national and regional authorities)
MPI
KNMI
RAQ Centres
regular
In situ observation for validation
CO2 concentration
gaw.kishou.go.jp
GEMS
@ ECMWF
on demand
validation data for CO2 assimilation. open access on the internet.
GEMS global products
GEMS RAQ Centres (6)
Boundary conditions for reginal air pollution models

20. In-Situ Providers for GEMS
3/28/2017
CarboEurope, NOAA-CMDL, FLUXNET, ALE-GAGE-AGAGE, WDCGG data centre, WMO/GAW, WOUDC, DWD, SHADOZ, MOZAIC, DLR, IPSL, NILU, NDSC, EMEP, NILU, IMPROVE, AERONET, PHOTONS, WDCA, Brewer network, NUIG, ARM, SIRTA, NJKDSC, BSRN, SURFRAD, NASA, HELCOM, OSPAR, CREATE, DAEDALUS, GMES-GATO, Met-Monieur, AIRBASE, …
Is there a role for WIN and ORCHESTRA?
table

21. 2nd HALO Workshop Infrastructure Conclusions (December 2005)

22. Selected Conclusions on Infrastructure Candidate Solutions
need description of two alternative technical solution candidates
one using the existing meteorological network, ie GTS
another EUMETCast
Does WIS encompass both GTS and EUMETCast?
compare the two solutions:
commonalities and differences
advantages and limitations
Data policy implications of the two solution candidates shall be pointed out.
an additional HALO meeting to decide on a solution recommendation
separate the discussions of solutions for the operational real-time data flow and for the data access for time-lagged products like reanalyses.

23. Questions for Today and Tomorrow

24. political characteristics easy access for European institutions
GTS
EUMETCast
WIS
political characteristics
easy access for European institutions
global reach
low cost
easy implementation of data policies
flexibility to serve new customers
technical characteristics
capacity/throughput
reliability
adaptability to new requirements /upgradability
widely accepted technical standards, both globally and within Europe
efficiency for HALO/GMES data flows
core product exchange
satellite data acquisition
in-situ data acquisition
3/28/2017
equal weight