Editorial: Remote sensing of cloud, aerosols, and radiation from satellites
Bibliographic record
Abstract
Editorial on the Research Topic Remote sensing of cloud, aerosols, and radiation from satellites Planning a research satellite mission involves a careful study phase in which science objectives are defined and the measurements necessary to achieve these objectives are identified, which then determine instrument and other mission requirements.Obtaining the necessary geophysical variables with the required accuracies necessitates suitable retrieval algorithms and methods to assess how well the objectives can be realized, all within a well-defined budget and schedule.The pre-launch objective assessment phase represents a crucial and invaluable step for defining and justifying a mission.Yet, despite their importance, these algorithms and assessments are generally not readily accessible to researchers who are not involved directly in this mission study phase.This volume aims to add some transparency to this process.The goal of this research topic is to document some of the pre-launch studies being conducted for NASA's Atmosphere Observing System (AOS, formerly ACCP-Aerosols, Cloud, Convection and Precipitation) and the ESA/JAXA EarthCARE satellite programs.The primary scientific focus of these missions is to elucidate the multifaceted interactions between aerosols, clouds, convection and precipitation at the process level.Aerosols interact with radiation directly and indirectly via perturbations to macroand micro-physical properties of clouds.The resulting impacts on regional and global weather and climate can perturb radiative forcing induced by changing greenhouse gas concentrations, determine cloud feedback strengths, and their impacts on the dynamics and thermodynamics of the atmosphere.Observing how clouds and aerosols influence atmospheric radiative transfer, thermodynamics and the atmospheric circulation is a key element in understanding how Earth will respond to climate change with far reaching consequences for the hydrosphere, cryosphere and the hydrological cycle of the planet.In order to infer the vertical properties of aerosol, clouds, precipitation and their impact on the Earth's climate, multiple instruments are required to make simultaneous and synergistic
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.006 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.017 | 0.021 |
| Insufficient payload (model declined to judge) | 0.015 | 0.019 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".