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UID:pretalx-global-workshop-2026-7GBGPT@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261007T163000
DTEND;TZID=Europe/Amsterdam:20261007T164500
DESCRIPTION:Extreme hydrometeorological extremes are one of the main focuse
 s of operational early warning systems for natural hazards. The ongoing in
 tegration of remote sensing datasets into the monitoring pipelines is aime
 d at contributing to the refinement of the forecasts and the accurate iden
 tification of the risks. However\, very few studies have specifically addr
 essed the inherent uncertainties of the remote sensing datasets in the ran
 ge of extreme events. Multiple factors in the processing of these datasets
  can impact the capabilities of each type of data to effectively detect po
 tentially hazardous events due to unrealistic recognition of the tails of 
 the distribution of events. \n \nThis study is devoted to the intercompari
 son of remote sensing\, model-based and reanalysis products of key variabl
 es of the water cycle (rain\, soil moisture\, flow) to evaluate the consis
 tency of common current operational products for the portrayal of extreme 
 events. The procedure comprises specific extreme value analysis of the dis
 tributions of the datasets with special attention to the characterisation 
 of the magnitude and temporal dimensions of the events. In this way\, metr
 ics of frequency\, duration and intensity are applied to assess the suitab
 ility of each product for proper extremes identification against ancillary
  data of multiple events of well-known impact. \n\nThe results indicate re
 levant differences among products well before the range of true extreme ev
 ents\, which partly explains the struggle of current operational monitorin
 g systems to accurately characterise impactful events. Discussion on the f
 actors influencing such notable differences in the products apprise of mul
 tiple aspects of datasets generation and handling that led to distorted ca
 pabilities in the tail range of the distributions that need review and coo
 rdination between the actors in charge of the generation and application o
 f datasets. \n\nThe study encourages further attention to the evaluation o
 f data in the range of their most relevant application\, risk assessment\,
  in order to avoid undesired inherited constraints to their application\, 
 jeopardising the confidence in early warning systems or the remotely–sen
 sed data.
DTSTAMP:20260624T084708Z
LOCATION:Room 18
SUMMARY:Limitations of current operational systems based on remote sensing 
 and models for the characterization fo extreme hydrometeorological events 
 - Jaime Gaona
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/7GBGPT/
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