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Record W4408430374 · doi:10.5194/egusphere-egu25-14131

First comparison between EarthCARE’s CPR and airborne W-band cloud radar observations during ECALOT campaign

2025· preprint· en· W4408430374 on OpenAlex
Paloma Borque, Cuong Nguyen, Zhipeng Qu, Pavlos Kollias, Bernat Puigdomenech, Keyvan Ranjbar, Kenny Bala, Natalia Bliankinshtein, Leonid Nichman, Sudesh Boodoo, Norman Donaldson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsMcGill UniversityEnvironment and Climate Change CanadaNational Research Council Canada
Fundersnot available
KeywordsRadarMeteorologyRemote sensingEnvironmental scienceComputer sciencePhysicsGeographyTelecommunications

Abstract

fetched live from OpenAlex

Improving future climate predictions requires enhancing the current meteorological numerical models for which a better understanding of the roles that clouds and aerosols (and their interactions) play in Earth’s weather and climate is crucial.  Along these lines, the European Space Agency (ESA) and the Japan Aerospace Exploration Agency (JAXA) successfully launched the Earth Cloud, Aerosol, and Radiation Explorer (EarthCARE) satellite in May 2024. This satellite mission aims to advance the studies of global aerosol and cloud properties via novel active and passive spaceborne observations.  EarthCARE carries four instruments: the ATmospheric LIDar (ATLID), the Cloud Profiling Radar (CPR), the Multi-Spectral Imager (MSI), and the Broadband Radiometer (BBR).  Of particular interest to this work are the CPR observations providing significant observations of clouds’ vertical structure, including the first ever in-cloud Doppler Velocity profiles from space.As part of ESA’s global calibration/validation initiative, the EarthCARE Commissioning Calibration/Validation Campaign in Ottawa (ECALOT) took place in Canada from October 2024 to January 2025.  ECALOT collected essential airborne and surface observations to calibrate and validate key EarthCARE products. These include CPR and ATLID Level 1 and Level 2 products, composite and synergy products, as well as EarthCARE’s scene construction algorithm and radiation products.  ECALOT successfully observed fall and winter weather conditions with dedicated flights targeted to sample relevant weather underflying the EarthCARE path.  The National Research Council Canada’s (NRC) Convair-580 aircraft, equipped with W- and X- band radars (NAWX), 355nm Lidars, and a full array of state-of-the-art in-situ cloud microphysics and aerosol probes, provided critical independent observations to support EarthCARE validation efforts.  These observations were complemented by surface-based sites deployed by Environment and Climate Change Canada and McGill University near Ottawa airport and two Climate Sentinels network stations operated by McGill University and Université du Québec à Montréal in the Montreal region.In this presentation, we will provide an initial evaluation of EarthCARE’s CPR performance during the ECALOT campaign.  A comprehensive analysis of the cloud vertical structure as seen by the CPR and NAWX observations and an intercomparison of vertical cross sections of reflectivity and Doppler velocity will be presented.  In addition, an assessment of the behavior of CPR under stratiform and convective conditions will be provided.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.258
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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