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Climate reanalysis at ECMWF

Climate reanalysis at ECMWF. Reanalysis is based on analysis methods developed to provide initial states for numerical weather prediction It applies a fixed, modern data assimilation system to multi-year sets of observations of different types

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Climate reanalysis at ECMWF

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  1. Climate reanalysis at ECMWF • Reanalysis is based on analysis methods developed to provide initial states for numerical weather prediction • It applies a fixed, modern data assimilation system to multi-year sets of observations of different types New reanalysis products benefit from improvements in forecast skill, data assimilation methods, and ongoing data recovery and data reprocessing efforts % ECMWF operational forecasts % “Forecasts” from ECMWF reanalyses

  2. ERA-CLIM Project Overview

  3. The ERA-CLIM Project ERA-CLIM: European Reanalysis of Global Climate Observations 3-year collaborative research project, start date 01/01/2011 Funded by EU research FP7, Environment theme Total cost €4.9M; EC contribution €3.5M 8(9) partners, 47.5(59) person-years, 50 deliverables

  4. Objectives Addressing the call for proposals: Building observational datasets for the predictability of global atmospheric, oceanic and terrestrial processes using reanalysis techniques As stated in the project proposal: Development of the observational record for the early 20th century Preparation of satellite observations, boundary conditions, and forcing data for an atmospheric reanalysis of the 20th century (ERA-20C) Development of an Observation Feedback Archive for reanalysis Production of pilot case reanalyses and data quality information Assessment and reduction of data uncertainties Additional goals: Improving access to climate data, quality, and transparency Developing a sustained data recovery and reanalysis capability Meeting the requirements for future GMES climate services

  5. Deliverables

  6. Work packages Recovery, imaging, and digitisation of historical observations and metadata Preparation of satellite observations, boundary conditions, and forcing data Integration of observational climate data sets (reanalyses) Quantifying and reducing uncertainties Project management and coordination

  7. WP1: Recovery, imaging, and digitisation of historical observations and metadata Deliverables (9): Person-months (268): • WP1 lead is UBERN • Involves 47% of project resources • Strong leverage on ACRE (via UKMET) • Addition of DMC is crucial for this WP

  8. WP2: Preparation of satellite observations, boundary conditions, and forcing data Deliverables (13): Person-months (66): • WP2 lead is UKMET • Deliverables are largely independent • Direct input to WP3

  9. WP3: Integration of observational climate datasets (reanalyses) Deliverables (10): Person-months (80): • WP3 lead is ECMWF • Will generate 1Pb of reanalysis data • OFA is a new development

  10. ERA-CLIM pilot reanalyses ERA-CLIM ECMWF Contributions

  11. WP4: Quantifying and reducing uncertainties Deliverables (9): Person-months (135): • WP4 lead is UNIVIE • Complex set of deliverables • OFA is a crucial resource for this WP

  12. WP5: Project management and coordination Deliverables (9): Person-months (18): • WP5 lead is ECMWF • 2 person-months for each WP lead

  13. Meantime…

  14. Conclusions • ERA-CLIM is an essential step towards the future ECMWF global reanalysis ERA-20C. • This project is directly supported by EU-FP7 • Additional support to reanalysis activities is provided by: • ESA • Japan • UK (NCEO, NCAS) • ERA-interim remains the best reanalysis in the world in many aspects • This resource should be used widely by the climate community

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