Satellite Observation Q&A Dataset for Convective Initiation Diagnosis

#visual question answering #meteorological reasoning #uncertainty assessment #satellite weather monitoring #convective initiation diagnosis #severe weather analysis
Records
5000
Size
0.3GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
AI Analysis & Value Prop

This dataset turns meteorological satellite time-series clues, such as cloud development, cooling cloud tops, and localized cloud expansion, into diagnostic question-and-answer examples focused on possible triggers of new convection. Each record covers the observed clues, a diagnostic question, a possible mechanism, conclusions supported by the observations, unresolved factors, and the reasoning process, while distinguishing observations from inferences. It supports abductive reasoning research in satellite meteorology, reasoning SFT, model evaluation, and diagnostic Q&A system development.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
uncertain_factorsstringLists factors that cannot be confirmed from the available satellite observations, possible alternative explanations, or evidence needed for further assessment.
diagnostic_questionstringAsks about possible convective triggering mechanisms based on the satellite observation clues.
diagnostic_reasoningstringExplains how the time-series observation clues lead to a possible trigger mechanism and distinguishes observed facts from inferences.
supported_conclusionsstringLists conclusions directly supported by the satellite observation clues and explains their evidential basis.
inferred_trigger_mechanismstringStates a possible mechanism for newly developing convection based on the clues, without presenting the inference as a confirmed fact.
satellite_observation_cluesstringDescribes time-series satellite observations, including cloud development, cloud-top cooling, and localized cloud expansion.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What does the dataset contain?
It covers satellite time-series clues such as cloud development, cooling cloud tops, and localized cloud expansion. Records include a diagnostic question, possible trigger mechanisms, observation-supported conclusions, unresolved factors, and the reasoning process.
How does it distinguish observations from inferred mechanisms?
Records separate the observed clues, conclusions those clues support, and possible trigger mechanisms. They also identify uncertainties or alternative explanations so that an inference is not presented as an established fact.
What are suitable use cases?
The dataset can support abductive reasoning research in meteorological satellite remote sensing, reasoning SFT, model evaluation, and prototyping diagnostic Q&A systems for convective initiation. Model outputs should be treated as analytical support and checked against other observations or expert judgment.
How can I access the data, and what are the licensing terms?
Refer to the product page for the available download method, data format, and license terms. Before use, verify the permitted scope, attribution requirements, and whether commercial use is allowed; no specific license or file format is stated in this description.

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Cite this Work

@dataset{Mobiusi2026,
  title={Satellite Observation Q&A Dataset for Convective Initiation Diagnosis},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/abdde09816b7d28222858b9b48302cc9?dataset_scene_id=11},
  urldate={2026-10-09},
  keywords={satellite observation dataset, convective initiation diagnosis, meteorological satellite data, convection triggering, abductive reasoning, cloud-top cooling, reasoning SFT, meteorological Q&A},
  version={1.0}
}

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