MAPSS: Mapped Atmosphere-Plant-Soil System Model, Version 1.0

NASA Open Data Portal2025-06-14 收录

植被动态模拟

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数据链接：

https://data.nasa.gov/dataset/mapss-mapped-atmosphere-plant-soil-system-model-version-1-0-0716c 数据链接链接失效反馈

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资源简介：

MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-...

Consequences of 1.5âÂ°C and 2âÂ°C global warming levels for temperature...

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气候变化脆弱性

Discriminating climate impacts between 1.5 degrees C and 2 degrees C warming levels is particularly important for Central Africa, a vulnerable region where multiple biophysical,...

DASH Search80

Krause et al. (2019) Earth's Future

动态植被模型模拟

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Output is from three dynamic vegetation models (LPJ-GUESS, LPJ and CABLE-POP) driven by three combinations of climate change and land-use change scenarios (SSP1xRCP26, SSP3xRCP60, SSP5xRCP85). The out

Figshare2022-02-02 更新30

CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.

海平面变化

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ESA Earth Online00

Climate change and tourism

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旅游经济分析

data for a research on the effect of climate change and economic variables on international and domestic tourism

Figshare2022-01-06 更新50

Model climate scenario output for the Blackstone, Pawcatuck, and Ipswich river basins, Massachusetts, 2036-2065 change from 1975-2004, Representative Concentration Pathways 4.5 and 8.5

流域水文模型

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This data release provides a set of Hydrological Simulation Program--Fortran (HSPF) model files representing 5 EPA-selected future climate change scenarios for each...

data.gov20

MAPSS: Mapped Atmosphere-Plant-Soil System Model, Version 1.0

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