Note On The Impact Of Meteorological Data From Pirata Moorings On Global Weather Forecasts
Open accessAbstract
This note analyses the Forecast Sensitivity to Observation results for PIRATA buoy data assimilated in the ECMWF operational numerical weather prediction system.
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Poli (2018) showed that surface pressure measurements from PIRATA buoys have a higher positive impact per datum than many other types of observations.
“From a NWP perspective, Poli (2018) analyzed the impact of observations on the ECMWF operational data assimilation scheme and showed that surface pressure measurements from PIRATA buoys have a higher positive impact per datum than many other types of observations (satellite, upper-air, land surface, or sea surface other than buoys).”
From The tropical atlantic observing system (2019) · cites this paper as Poli (2018)
The Introduction (pp. 1–2) says Poli analyzed PIRATA observations in ECMWF’s operational system. The Results say sea-surface observations had a larger share of forecast improvement than their share of observation counts, but the available passage does not establish that PIRATA surface-pressure measurements had a higher positive impact per datum than the listed observation types. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThe impact of surface pressure is one order of magnitude larger than the impact of wind measured on the same PIRATA buoys.
“For instance, the impact of surface pressure is one order of magnitude larger than the impact of wind measured on the same buoys.”
From The tropical atlantic observing system (2019) · cites this paper as Poli (2018)
The Data and methodology passage (p. 2) identifies PIRATA buoys with barometers and buoys for which only wind observations were assimilated. The available Results passage discusses forecast impact but stops before any pressure-versus-wind comparison. Searches for the claimed order-of-magnitude difference and pressure-to-wind impact ratio found no passage that establishes it. (LLM, conf=0.70)
Experimental — accuracy not yet measured
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The tropical atlantic observing system
Foltz, G. R., Brandt, P., Richter, I., Rodríguez-Fonseca, B., Hernandez, F., Dengler, M., Rodrigues, R. R., Schmidt, J. O., Yu, L., Lefevre, N., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00206 · Cited by 150 · see citing works
Self-citation
- Authors
- Poli, P.
- Affiliations
- Météo-France (FR)
- Corresponding author
- Poli, Paul
- ORCID
- Poli, Paul
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2018-10-15
- OpenAlex
- W6949066321
- Cited by
- 3
- References
- 0
- Citations by year
- 2021: 1 · 2019: 2
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Funders
- European Commission (633211)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- meteorological data assimilation, operational numerical weather prediction, ECMWF, tropical Atlantic, ocean-atmosphere interaction
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