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A new climate data record of upper-tropospheric humidity from microwave observations
- Source :
- Scientific Data, Vol 7, Iss 1, Pp 1-17 (2020), Scientific Data
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- We generated a new Climate Data Record (CDR) of Upper Tropospheric Humidity (UTH) based on observations from the microwave sounders Special Sensor Microwave Temperature - 2 (SSMT-2), Advanced Microwave Sounding Unit - B (AMSU-B) and Microwave Humidity Sounder (MHS). The data record covers the time period between 1994 and 2017 and provides monthly mean 183.31 ± 1 GHz brightness temperatures and derived UTH along with estimates of measurement uncertainty on a 1° × 1° latitude-longitude grid covering the tropical region (30° S to 30° N). For the UTH retrieval we introduce a new definition of UTH. Forgoing the use of the humidity Jacobian as a weighting function, it is easier to apply than the traditional definition without compromising the retrieval accuracy. The same definition can be used to derive UTH from infrared observations, allowing for a more synergistic use of infrared and microwave UTH in the future. The new UTH CDR is validated against an existing UTH data record.<br />Measurement(s) humidity Technology Type(s) Radiometry (Microwave) Factor Type(s) time period • geographic location Sample Characteristic - Environment troposphere • climate system Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12465830
- Subjects :
- Statistics and Probability
Data Descriptor
Brightness
010504 meteorology & atmospheric sciences
Humidity
010501 environmental sciences
Library and Information Sciences
01 natural sciences
Computer Science Applications
Education
Troposphere
Microwave humidity sounder
13. Climate action
Advanced Microwave Sounding Unit
Atmospheric science
Climate change
Environmental science
Measurement uncertainty
lcsh:Q
Statistics, Probability and Uncertainty
lcsh:Science
Microwave
0105 earth and related environmental sciences
Information Systems
Remote sensing
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....1cbea468497ed6b8efcfbf25cd4f42b3