R: Temperature anomalies from δ15N fitting using the Schwander et al. (1997) firn model with the three accumulation rate scenarios (dataset Q) ...
Low-frequency (>500 a) and high-frequency (<500 a) temperature fraction using the different accumulation rate scenarios. Anomalies relative to the average of 70 a to 1000 a b2k of the temperature from the 50 km scenario. ...
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Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2022
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Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.943623 https://doi.pangaea.de/10.1594/PANGAEA.943623 |
Summary: | Low-frequency (>500 a) and high-frequency (<500 a) temperature fraction using the different accumulation rate scenarios. Anomalies relative to the average of 70 a to 1000 a b2k of the temperature from the 50 km scenario. ... |
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