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SUMMARY:Workshop on ancillary data for land surface and Earth system model
 ling
DTSTART:20250409T080000Z
DTEND:20250410T160000Z
DTSTAMP:20260817T044700Z
UID:indico-event-422@events.ecmwf.int
CONTACT:events@ecmwf.int
DESCRIPTION:Part of ECMWF's 50th anniversary celebrations\nOverview\nRecen
 t advances in land surface and more general Earth system models lead to hi
 gher resolution and increased fidelity in the representation of local proc
 esses. To allow for the correct representation of these processes\, it is 
 necessary to seek increased quality\, complexity\, appropriateness and ava
 ilability of ancillary fields that are used to constrain land surface mode
 ls and their related parameters. With a wide spectrum of ancillary data in
 cluding topography\, physiographic fields\, vegetation structures and indi
 ces\, and soil related hydrological parameters\, the data providers range 
 between satellite agencies to in situ data investigators. This makes it di
 fficult to define and harmonise the data requirements. To develop appropri
 ate data for future modelling needs\, it is therefore essential for modell
 ers and data providers to deepen their mutual understanding of the challen
 ges involved in the generation of the data and evolving modelling requirem
 ents. This workshop is an opportunity to bridge the gap between these diff
 erent communities.\nAdditionally\, machine learning is also changing the l
 andscape as it is opening new possibilities to improve these datasets via 
 a more automated extraction of information from observations\, to improve 
 links between the model simulations and the end users\, and to improve pur
 e machine learning forecast models and parameter optimisation that will he
 avily depend on the provision of good background information.\nThe worksho
 p summarised the current state of the art\, pros and cons of existing data
 \, and advise on data requirements. This would result in outlining potenti
 al changes in the workflow and fields that are generated and stimulate the
  production of improved datasets for the next generation of land surface m
 odels. \nExpected outcomes\nThe workshop expected to enhance the communic
 ation and coordination between data providers and weather and climate cent
 res\, leading to a better understanding of:\n\nthe requirements of future 
 land-surface models for the accurate representation of processes at high r
 esolution and the need for future observations and missions to support the
 se developments.\nmethods to bridge the gap across spatial and temporal sc
 ales and to represent spatial heterogeneity.\nthe representation of data u
 ncertainties and limits of products.\nhow machine learning could help for 
 field generation\, gap filling and parameters optimisation.\nthe processes
  for quality assurance\, standardisation\, documentation and curation of d
 ata and software. \n\n \n\nhttps://events.ecmwf.int/event/422/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/422/logo-602346636.png
LOCATION:Bonn\, Germany
URL:https://events.ecmwf.int/event/422/
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