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Forecasted attribution of the human influence on Hurricane Florence

DASH Search2026-03-14 收录

气候变化

飓风预测

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https://data.ucar.edu/dataset/forecasted-attribution-of-the-human-influence-on-hurricane-florence 数据链接链接失效反馈

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Changes in extreme weather, such as tropical cyclones, are one of the most serious ways society experiences the impact of climate change. Advance forecasted conditional...

应用场景：

洪水风险评估

气候变化

The following probabilities are available for surface water flooding: - High - 10 year return period - Medium - 200 year return period - Low - 200 year return period plus climate change using the...

data.gov.uk2024-02-05 更新80

Surface Water Flood Maps (FRM_FH_SURFACE_WATER_DEPTH_M)

洪水风险评估

气候变化

The following probabilities are available for surface water flooding: - High - 10 year return period - Medium - 200 year return period - Low - 200 year return period plus climate change using the...

data.gov.uk2023-04-13 更新60

Changes in the Montagu's Harrier Circus pygargus diet in Eastern Poland across decades promote insects and reptilians, but not birds and rodents

生态学

气候变化

We investigated temporal changes in diet composition of the Montagu's Harrier Circus pygargus breeding in natural habitat (calcareous peat bog) in SE Poland. We characterized diet composition in a thr

Mendeley Data2024-05-10 更新40

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Net Primary Production Quadrat Data at the Sevilleta National Wildlife Refuge, New Mexico (2006 -present)

生态学

气候变化

Humans are creating significant global environmental change, including shifts in climate, increased nitrogen (N) deposition, and the facilitation of species invasions. A multi-factorial field exper

DataONE2015-08-21 更新70

Distribution data for two Alpine moth species in Australia.

生态学

气候变化

Distribution data for two Alpine moth species in Australia. Details of collection in Parida, M., Hoffmann, A. A., Hill, M. P. (2015), Climate change expected to drive habitat loss for two key herbivor

Mendeley Data2024-01-31 更新40

Forecasted attribution of the human influence on Hurricane Florence

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