GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022
收藏CMR Search2026-03-21 收录
数据链接:
官方服务:
资源简介:
GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022
应用场景:
相关数据集
Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change
This directory contains the UVic ESCM model output for MacDougall, 2021, “Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change” Parameters: Contains AS
DataONE2021-09-07 更新100
Detecting the permafrost carbon feedback: Talik formation and increased...
Thaw and release of permafrost carbon (C) due to climate change is likely to offset increased vegetation C uptake in northern high-latitude (NHL) terrestrial ecosystems. Models...
University Corporation for Atmospheric Research50
A simplified, data-constrained approach to estimate the permafrost...
We present an approach to estimate the feedback from large-scale thawing of permafrost soils using a simplified, data-constrained model that combines three elements: soil carbon...
DASH Search20
Dynamic Vegetation Model Dynamic Organic Soil Terrestrial Ecosystem Model (DVM-DOS-TEM) simulations for a 50x50 km2 area centered on eight mile lake, Alaska and Toolik Field Station, Alaska [1950-2100]
This set of files store model simulations using the biosphere model Dynamic Vegetation Model Dynamic Organic Soil Terrestrial Ecosystem Model (DVM-DOS-TEM), developed to represent the effect of deep n
DataONE2022-03-22 更新90
Methane emissions (Alaska, Canada, Sweden, Siberia) proportional to permafrost carbon thawed in Arctic lakes since the 1950s
Permafrost thaw exposes previously frozen soil organic matter to microbial decomposition. This process generates methane and carbon dioxide, and thereby fuels a positive feedback process that leads to
DataONE2019-09-19 更新30



