COordinating earth observation data validation
for RE-analysis for CLIMAte ServiceS:
CORE-CLIMAX
Bob Su, Wim Timmermans, Bert Boer, Joris Timmermans, Yijian Zeng
Presented by Yijian Zeng on behalf of ITC team
CoreClimax: Presentation overview
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Project overview (1)
Consortium (2)
Project objectives (3)
Project teams (3)
Coordination of high-quality research (3)
Coordination mechanisms & workplan (6)
Future R&D needs – consistency of ECVs: Examples (13)
Future R&D needs – Our response (1)
References / Further reading (1)
CoreClimax: Project overview
 EU FP7 Project acronym: CORE-CLIMAX
 Coordinating Earth observation data validation for RE-analysis for CLIMAte ServiceS
 Project coordinator: Professor Bob Su, z.su@utwente.nl
 Project manager (technical matters): ir. Wim Timmermans
 Project manager (financial/legal/administrative matters): ir. Bert Boer
 Department of Water Resources, ITC, University of Twente, The Netherlands
 EU Contribution: 1,997,635 Euro
 Project duration: 30 months
 Start: 1st January 2013
 9 Partners, 21.5 Person Years, 27 Deliverables
CoreClimax: Consortium
no.
Participant organization name
Country
1.
University of Twente, Faculty for Geo-information Science and
Earth Observation (ITC)
The Netherlands
2.
European Organisation for the Exploitation of Meteorological
International
Satellites (EUMETSAT) Satellite data provider and producer
3.
European Centre for Medium-Range Weather Forecasts (ECMWF)
International
4.
German Weather Service (DWD)
Germany
5.
Flemish Institute for Technological Research
(VITO)
Belgium
6.
Finnish Meteorological Institute (FMI)
Finland
7.
Meteo-France (MTF)
8.
Chinese Academy of Sciences, Institute of Tibetan Plateau Research
(ITP)
9.
Chinese Academy of Sciences, Cold and Arid Regions
Environmental and Engineering Research Institute (CAREERI)
Reanalysis Center in Europe
ECV producers and climate service
providers
France
China
Satellite data processing and validation centers
China
CoreClimax: Consortium
CoreClimax: Project objectives
This project will help to substantiate how Copernicus observations and
products can contribute to climate change analyses, by establishing the extent
to which Copernicus observations complement existing Climate Data Records
1. Coordinate with Copernicus ongoing activities and contribute to the
formulation of the Copernicus climate service theme (GCOS, FP7 Copernicus and
climate change projects, ESA CCI projects, EUMETSAT including its SAF
network and EUMETNET as part of the European Meteorological Infrastructure)
2. Propose a structured process for delivering ECVs through the stepped and
quality controlled elaboration of Climate Data Records (CDR), the latter being
derived from prioritisation of the most appropriate input data sets;
3. Propose a validation process aiming at qualifying the accuracy of the climate
variables;
4. Propose a feedback mechanism ensuring that the results of the re-analysis
process get appropriately reflected into updates of the CDR;
5. Propose a process to compare reanalyses.
CoreClimax: Project objectives
CORE-CLIMAX as European contribution to international efforts in coordinating ECV generation & use in reanalyses
CoreClimax: Project objectives
CoreClimax: Project Team
Objective 1
Objective 1
Objective 2
Objective 3
Objective 4
Objective 5
Coordinated with CEOS WGCV
CoreClimax: Project Team
 ITC: Bob Su, Wim Timmermans, Joris Timmermans, Yijian Zeng, Bert Boer
 EUMETSAT: Jörg Schulz, Rob Roebeling
 ECMWF: Paul Poli, David Tan
 DWD: Frank Kaspar, Andrea Kaiser-Weiss
 VITO: Else Swinnen, Carolien Tote, Lieven Bydekerke
 FMI: Hilppa Gregow, Terhikki Manninen, Ali Nadir Arslan
 MTF: Jean-Christophe Calvet
 ITP: Yaoming Ma
 CAREERI: Wen Jun, Cai Ying, Gao Xiaoqing, Lu Shihua, Wei Zhigang, Hu
Zeyong,Gao Yanhong
CoreClimax: Project Team
 Research Executive Agency (REA), Project Officer (“PO”):
 Stijn Vermoote
 Advisory Board (“AB”) Members:
 John Bates (NOAA/NCDC, ECVs generation process & maturity index)
 Michael Bosilovich (NASA, reanalysis)
 Mark Dowell (JRC, ECVs & climate service policy requests, CEOS WG Climate)
 Andre Jol (EEA)
 Steve Noyes (EUMETNET)
 Velina Pendolovska (Policy Officer at DG CLIMA)
CoreClimax: Coordination of high-quality research
Maturity Index (Bates-Barkstrom)
 Flow chard of creating and maintaining Long-term Climate Data Records:
 A TCDR (Thematic CDR) may only be considered as a CDR upon the validation
process given by A34, which may form just one component of an ECV
CoreClimax: Future R&D needs – Consistency of ECVs
 Examples from current projects:
 Ex. 1: Product and information exchange procedures – ESA WACMOS project
 Ex. 2: Ability of the ECMWF model in soil moisture simulation over the Third Pole
 Ex. 3: Closing the global water cycle with earth observation
 Ex. 4: Climate change impacts and adaptation in river basins
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 1: Product and information exchange procedures – ESA WACMOS project
(Water Cycle Multimission Observation Strategy - WACMOS)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 1: Product and information exchange procedures – ESA WACMOS project
(30+ years of passive and active satellite microwave observations for soil moisture)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 1: Product and information exchange procedures – ESA WACMOS project
(WASMOS soil moisture at Maqu site. Su, et.al., 2011)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 2: Ability of the ECMWF 1 model in soil moisture simulation over the Third Pole
(How good is soil moisture analysis/assimilation? Su & de Rosnay, et.al., 2013)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 2: Ability of the ECMWF 1 model in soil moisture simulation over the Third Pole
(How good is soil temperature analysis/assimilation? Su & de Rosnay, et.al., 2013)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 3: Closing the global water cycle with earth observation
(Total Precipitable Water & Soil Moisture)
Afternoon rain more likely over drier soils
Christopher M. Taylor, Richard A. M. de Jeu, Françoise Guichard, Phil P. Harris & Wouter A. Dorigo
Nature 489, 423–426 (20 September 2012)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 4: Climate change impacts and adaptation in river basins
(Basin overview)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 4: Climate change impacts and adaptation in river basins
(Yellow river basin Total Water Storage from different sources)
Entire basin
Upper basin
Which source of data you should trust?
GLDAS_TWSC1 = Soil Moisture
+
Snow Water Equivalent
+
Canopy Water Storage
FY-SMC = Chinese Meteorological Administration – Soil Moisture Content
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 4: Climate change impacts and adaptation in river basins
(Yellow river basin Total Water Storage from different sources)
Upper basin
How make the data from different sources consistent?
Entire basin
GLDAS_TWSC2 = P - ET - R
(Anomaly)
TWSC3 = TRMM_PC – GLDAS_ETC – In-situ_ RC
(anomaly of total water storage change)
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 4: Climate change impacts and adaptation in river basins
(Yellow river basin Cumulative Total Water Storage change from different sources)
Entire basin
Upper basin
Scale-induced inconsistency
FY-SMC = Chinese Meteorological Administration – Soil Moisture Content
CoreClimax: Future R&D needs – Consistency of ECVs
 Ex. 4: Climate change impacts and adaptation in river basins
(Cumulative discharge anomalies at Lanzhou station (circles) and GLDAS/GRACE TWS estimates)
GRACE TWS (cm)
GLDAS TWS (cm)
Heterogeneity-derived inconsistency
CoreClimax: Future R&D needs – Our response
 Global Framework of Climate Services
WMO 2011 high-level taskforce report
Our response
FP7 CORE-CLIMAX:
“Coordinating Earth
observation data validation
for RE-analysis for CLIMAte
ServiceS”
A schematic representation of the pillars of the Framework, with the indication that the Capacity Development
component encompasses the other components. Arrows depict flows of information and feedback.
CoreClimax: References / Further reading
Su, Z., Wen, J., Dente, L., van der Velde, R., Wang, L., Ma, Y., Yang, K., and Hu, Z. 2011, The Tibetan Plateau observatory
of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite
and model products, Hydrol. Earth Syst. Sci., 15, 2303–2316, 2011, www.hydrol-earth-syst-sci.net/15/2303/2011/,
doi:10.5194/hess-15-2303-2011.
Dente, L., Vekerdy, Z., Wen, J. and Su, Z., 2012, Maqu network for validation of satellite - derived soil moisture products. Int.
J. Applied Earth Observation and Geoinformation : JAG, 17 (2012) pp. 55-65.
Dente, L., Su, Z. and Wen, J., 2012, Validation of SMOS soil moisture products over the Maqu and Twente regions. Sensors,
12, 9965-9986.
Su, Z., P. de Rosnay, J. Wen, L. Wang, Y. Zeng, 2013, Ability of the ECMWF 1 model in simulating and analysis of root zone
soil moisture on the Tibetan plateau , JGR (in revision)
van der Velde, R., Z. Su, and Y. Ma, 2008, Impact of soil moisture dynamics on ASAR signatures and its spatial variability
observed over the Tibetan plateau. Sensors, 8(9),5479-5491.
van der Velde, R., Z. Su, 2009, Dynamics in land surface conditions on the Tibetan Plateau observed by ASAR, Hydrol. Sci.
j., 54(6), 1079-1093.
van der Velde, R., Z. Su, M. Ek, M. Rodell, and Y. Ma, 2009, Influence of thermodynamic soil and vegetation
parameterizations on the simulation of soil temperature states and surface fluxes by the Noah LSm over a Tibetan
plateau site, Hydrology and Earth System Sciences, 13, 759-777.
van der Velde, R., Salama, M.S., van Helvoirt, M.D. and Su, Z. (2012) Decomposition of uncertainties between coarse MM5 Noah - Simulated and fine ASAR - retrieved soil moisture over Central Tibet. J. hydrometeorol., 13 (6), 1925-1938.
van der Velde, R., Su, Z., van Oevelen, P., Wen, J., Ma, Y. and Salama, M.S. (2012) Soil moisture mapping over the central
part of the Tibetan Plateau using a series of ASAR WS images. Remote sens. Environ., 120,175-187.
Thank you for you attentions!
Remarks? & Comments?