Publication2017
Time series analysis of ground-based microwave measurements at K-and V-bands to detect temporal changes in water vapor and temperature profiles
The record
- Type
- Publication
- Date
- 18 January 2017
- Level
- National
- Journal
- Geoscientific Instrumentation Methods and Data Systems
- Volume
- 6
- Issue
- 1
- Pages
- 15-26
- Published
- 18 January 2017
- DOI
- 10.5194/gi-6-15-2017
- Scopus ID
- 85009986022
- ISSN
- 21930856
- Authors
- 3
- Open access
- Yes
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
13.3 Improve education, awareness-raising and institutional capacity on climate change mitigation, adaptation and early warning
Bayesian optimal estimation with time series microwave measurements detects temporal changes in atmospheric water vapor and temperature for climate monitoring.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Atmospheric characterization methods support climate change understanding and early warning systems for weather-related risk mitigation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Time series analysis of ground-based microwave measurements at K-and V-bands to detect temporal changes in water vapor and temperature profiles”. Kortex.