Essa, Y. H. and Madonna, F. (2024) Estimating climate extreme indices and the related uncertainties using U. S. Climate Reference Network (USCRN) near-surface temperature. Il nuovo cimento C, 47 (5). pp. 1-4. ISSN 1826-9885
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Abstract
The availability of near-surface temperature records from reference networks enables the quantification of measurement uncertainties, which may have an asymmetrical nature due to effects contributing only to the warm or cold bias. In this work, two extreme indices (Consecutive Frost Days and Consecutive Ice Days) and the related uncertainties are calculated for the period 2006–2020 from the U. S. Climate Reference Network (USCRN) and discussed with the calculation without considering the uncertainties. Overall, the results show an accumulated yearly number exceeding 15 periods of CFD and CIDs, with the largest values at the high est latitude covered by the USCRN considered stations. Propagating asymmetric uncertainties for the specified indices revealed a pronounced, latitude-dependent, influence on the indices’ estimations due to accounting for the measurement uncertainties. Positive uncertainties show larger values compared to negative ones for the considered Indices. The assessment of uncertainty is a crucial component in enhancing research and decision-making connected to climate change, as it underscores the incomplete understanding of variability in the climate system and the limitations of climate models and observational instruments.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Jan 2025 12:02 |
| Last Modified: | 10 Jan 2025 12:02 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23326 |
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