Vertical response of snow albedo to seasonal climate change in the Tibetan Plateau

Journal of Mountain Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

Language: Английский

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Elevation dependency of snowfall changes under climate change over the tibetan plateau: Evidence from CMIP6 GCMs

Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107832 - 107832

Published: Dec. 1, 2024

Language: Английский

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Rethinking Water Sustainability: Precipitation Changes in the Peruvian Andes in the Face of Climate Change

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: June 13, 2023

Abstract In high-altitude regions, such as the Peruvian Andes, understanding transformation of precipitation types under climate change is critical to sustainability water resources and survival glaciers. Conventional wisdom has primarily focused on snow-rain dichotomy, often overlooking potential importance graupel hail. this study, we offer a fresh perspective issue, investigating distribution tropical glacier in Central Andes. We utilized data from an optical-laser disdrometer compact weather station installed at 4709 m ASL, combined with future scenarios CMIP6 project, model changes precipitation, including often-ignored hydrometeor forms Our findings highlight that increasing temperatures could lead significant reductions solid-phase hail, implications for mass balance Andean For instance, 2°C rise might result less than 10\% solid, transforming hydrological processes region. The two SSP2-4.5 SSP5-8.5, broad outcomes impact patterns study underscores need revisit expand our face change, paving way improved resource management strategies sustainable preservation efforts these fragile ecosystems.

Language: Английский

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Evaluation of Four Long-Term and High-Resolution Gridded Precipitation Datasets for Ecological Applications on the Qinghai-Tibet Plateau

Published: Jan. 1, 2023

Reliability assessment of long-term and high-resolution gridded precipitation datasets (GPDs) is vital for a wide variety climatological studies. However, existing GPDs on the Qinghai-Tibet Plateau vary with great uncertainties are hard to meet requirements fine-resolution ecological applications, systematic evaluation GDPs urgently needed. With use an observed dataset (OBS) obtained from 208 meteorological stations 1981 2019, spatial accuracy, temporal detection ability events four (HRLT, TPHiPr, PENG, CHIRPS) resolutions above 0.05° were evaluated at monthly scale. The results showed following: (1) TPHiPr had highest accuracy (R2=0.81, RMSE = 24.35 mm/month, MRE 27.87%), performed worst in arid areas best semihumid areas. average was 51.67 mm, (mean 55.03 ± 3.10 mm,) exhibited wet deviation (3.36 mm). (2) PENG attained (NSE -0.56, MRCE 20.96±1.54%, MAE 9.18 mm/month), winter autumn. Significant trend differences existed among 0.10±0.06 mm/year). (3) HRLT provided higher abilities than other GPDs, consistently high light (0-10 mm/month) low heavy (150-200 mm/month). This study demonstrated potential applicability highlighted corresponding improvement directions, thus providing important references studies Plateau.

Language: Английский

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Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data

Quality Engineering, Journal Year: 2023, Volume and Issue: 36(3), P. 575 - 593

Published: Sept. 11, 2023

AbstractThis article presents a Statistical Process Control (SPC) framework considering the response process as unit variable, which demands special treatment. This study designed Shiny app related to data visualization and inferential estimation adopting SPC charts Extreme Value Theory. We also proposed new flexible probabilistic model (named FlexShape), is simple yet overcomes skew information bimodality in historical data, part of complex learning task. Results showed that enables it handle sets. As an example, we presented storytelling from water particle monitoring (relative humidity) one Atacama Desert station, known be driest areas on Earth, across hidden patterns such inundation microweather. Finally, developed makes possible any research univariate decision-making, enabling database import adjusting some parametric models, comparison different units' distribution goodness-of-fit.Keywords: asymmetry databimodal distributioniterative analysisrates proportions monitoringR shiny Disclosure statementNo potential conflict interest was reported by authors.Additional informationFundingThis funded Universidad de grant number ATA1956 – CC88433. partially supported Vicerrectoría Investigación y Postgrado (VRIP) Dirección (UDA). The author David Elal-Olivero DIUDA REGULAR project No. 22409 Atacama, Chile. Paulo H. Ferreira acknowledges support Brazilian National Council for Scientific Technological Development [CNPq, 307221/2022-9].Notes contributorsDiego C. NascimentoDiego Nascimento Associate Professor at Copiapó, He holds Ph.D. degree Statistics Federal University São Carlos/University (UFSCar/USP), M.Sc. Business Management Pernambuco (UFPE), B.Sc. Rio Grande do Norte (UFRN). works mainly following topics: statistical learning, analytics.Oilson A. Gonzatto JuniorOilson Junior (USP), Carlos, Paulo, Brazil. received his 2021 UFSCar/USP, M.Sc Biostatistics 2017 B.Sc 2016 both State Maringá (UEM), Maringá, Paraná, Brazil, licentiate Mathematics 2014 Paraná (UNESPAR). has Postdoctoral training 2021–2023. Currently researches survival reliability analysis.David Elal-OliveroDavid Full Ciencias Matemáticas 1987 Complutense Madrid, Spain. His main interests include theory.Estefania BonnailEstefania Bonnail She her Marine Coastal (Erasmus Mundus program) Cádiz, done intensive field ecotoxicology.Paulo FerreiraPaulo Institute Statistics, Bahia (UFBA), Ph.D., degrees all Carlos (UFSCar), analysis, mining control.

Language: Английский

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