Metrology for climate actions call for abstracts – 26 to 30 September

The online workshop between the 26 – 30 September, hosted by BIPM and WMO, is open to experts and stakeholders active in the fields of climate science, observations, GHG mitigation and measurement, modeling and measurement science willing to contribute to the development of recommendations on key technical challenge areas for metrology in these fields.

The meeting is being held virtually. Call for presentations and posters for the workshop is now open. The abstract submission deadline is June 30th.

For more information please wisit the event website.

News from the S-RIP activity

(1) New S-RIP dataset “RID”

Patrick Martineau has prepared a new reanalysis intercomparison dataset (RID) for S-RIP Phase 2. This is an extended version of the dynamical part of Martineau et al. (2018, https://doi.org/10.5194/essd-10-1925-2018).

See more information in this PDF here or find the same information here.

(2) Updated version of “ERA5 back extension (*1959* -1978)” now available

Updated version of “ERA5 back extension (*1959* -1978)” becomes available. (A further extension from 1940 to 1958 is currently in production.)

For the details, see this website and for data access, see this website.

6th WGNE Workshop on Systematic Errors in Weather and Climate Models

The deadline for abstract submission to the 6th WGNE Workshop on Systematic Errors in Weather and Climate Models, ECMWF, Reading, 31 October to 4 November 2022. Has been extended.

Abstracts are due 13 June 2022.

The workshop brings together a wide range of experts on simulating the Earth System including atmosphere, ocean, waves, land-surface, atmospheric composition, cryosphere, and associated disciplines to advance the understanding of systematic simulation errors at all timescales. A particular emphasis is given to identifying errors in complex coupled systems and to understand their root causes. Progress in diagnosing and addressing systematic errors using a wide range of tools ranging from classical methods to advanced technologies such as data assimilation and machine learning / AI will be documented. The workshop will encourage an active discussion on relative merits of active development of physical models and parametrisations to address systematic errors versus bias correction methods. Please see the website for additional details on the topics of interest and format.

Early career researchers from selected countries will be able to enter a competition for best abstracts for oral presentations. The World Meteorological Organization (WMO) is pleased to offer funding for travel to ECMWF (UK) to the winners of the competition. Please see here for details.