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. ...

Bibliographic Details
Main Author: Döring, Michael
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Age
Online Access:https://dx.doi.org/10.1594/pangaea.943623
https://doi.pangaea.de/10.1594/PANGAEA.943623
Description
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. ...