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B ob S u , W im T immermans , B ert B oer , J oris T immermans , Y ijian Z eng

co ordinating earth observation data validation for RE -analysis for CLIMA te S ervice S : CORE-CLIMAX. B ob S u , W im T immermans , B ert B oer , J oris T immermans , Y ijian Z eng Presented by Yijian Zeng on behalf of ITC team. CoreClimax : Presentation overview. Project overview (1)

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B ob S u , W im T immermans , B ert B oer , J oris T immermans , Y ijian Z eng

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  1. coordinating earth observation data validation for RE-analysis for CLIMAteServiceS:CORE-CLIMAX Bob Su, Wim Timmermans, Bert Boer, Joris Timmermans, Yijian Zeng Presented by Yijian Zeng on behalf of ITC team

  2. CoreClimax: Presentation overview • 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)

  3. CoreClimax: Project overview • EU FP7 Project acronym: CORE-CLIMAX • Coordinating Earth observation data validation for RE-analysis for CLIMAteServiceS • 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

  4. CoreClimax: Consortium Satellite data provider and producer Reanalysis Center in Europe ECV producers and climate service providers Satellite data processing and validation centers

  5. CoreClimax: Consortium

  6. 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 • 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) • 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; • Propose a validation process aiming at qualifying the accuracy of the climate variables; • Propose a feedback mechanism ensuring that the results of the re-analysis process get appropriately reflected into updates of the CDR; • Propose a process to compare reanalyses.

  7. CoreClimax: Project objectives CORE-CLIMAX as European contribution to international efforts in coordinating ECV generation & use in reanalyses

  8. CoreClimax: Project objectives

  9. CoreClimax: Project Team Objective 1 Objective 1 Objective 2 Objective 5 Objective 3 Objective 4 Coordinated with CEOS WGCV

  10. 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, TerhikkiManninen, Ali Nadir Arslan • MTF: Jean-Christophe Calvet • ITP: YaomingMa • CAREERI: Wen Jun, CaiYing, GaoXiaoqing, Lu Shihua, Wei Zhigang, Hu Zeyong,GaoYanhong

  11. CoreClimax: Project Team • Research Executive Agency (REA), Project Officer (“PO”): • StijnVermoote • 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) • VelinaPendolovska (Policy Officer at DG CLIMA)

  12. 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

  13. 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

  14. CoreClimax: Future R&D needs – Consistency of ECVs • Ex. 1: Product and information exchange procedures – ESA WACMOS project (Water Cycle Multimission Observation Strategy - WACMOS)

  15. 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)

  16. 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)

  17. 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)

  18. 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)

  19. CoreClimax: Future R&D needs – Consistency of ECVs 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)  • Ex. 3: Closing the global water cycle with earth observation (Total Precipitable Water & Soil Moisture)

  20. CoreClimax: Future R&D needs – Consistency of ECVs • Ex. 4: Climate change impacts and adaptation in river basins (Basin overview)

  21. 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) Which source of data you should trust? Upper basin GLDAS_TWSC1 = Soil Moisture + Snow Water Equivalent + Canopy Water Storage Entire basin FY-SMC = Chinese Meteorological Administration – Soil Moisture Content

  22. 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) How make the data from different sources consistent? Upper basin Entire basin GLDAS_TWSC2 = P - ET - R (Anomaly) TWSC3 = TRMM_PC – GLDAS_ETC – In-situ_ RC (anomaly of total water storage change)

  23. 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) Scale-induced inconsistency Upper basin Entire basin FY-SMC = Chinese Meteorological Administration – Soil Moisture Content

  24. 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) Heterogeneity-derived inconsistency GLDAS TWS (cm) GRACE TWS (cm)

  25. CoreClimax: Future R&D needs – Our response • Global Framework of 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. WMO 2011 high-level taskforce report Our response FP7 CORE-CLIMAX: “Coordinating Earth observation data validation for RE-analysis for CLIMAteServiceS”

  26. 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.

  27. Thank you for you attentions! Remarks? & Comments?

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