Pollen based annual precipitation for Lake Bayan Nuur ...

Method for quantitative reconstruction of mean July air temperatures (Tjuly). The quantitative reconstruction of mean July air temperatures (TJuly) is based on calibration chironomid data sets for lakes from northern Russia (Nazarova et al., 2015, doi:10.1016/j.gloplacha.2014.11.015). Mean July air...

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Bibliographic Details
Main Authors: Rudaya, Natalia, Nazarova, Larisa B, Frolova, Larisa A, Palagushkina, Olga V, Soenov, Vasiliy, Cao, Xianyong, Syrykh, Luidmila S, Grekov, Ivan, Otgonbayar, Demberel, Bayarkhuu, Batbayar
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
DEPTH, sediment/rock
AGE
Temperature, air, July
Sediment corer
see description in data abstract
Arctic
Nazarova
Siberia
Online Access:https://dx.doi.org/10.1594/pangaea.953305
https://doi.pangaea.de/10.1594/PANGAEA.953305
Description
Summary:Method for quantitative reconstruction of mean July air temperatures (Tjuly). The quantitative reconstruction of mean July air temperatures (TJuly) is based on calibration chironomid data sets for lakes from northern Russia (Nazarova et al., 2015, doi:10.1016/j.gloplacha.2014.11.015). Mean July air temperatures were inferred using a North Russian (NR) chironomid-based temperature inference model (WA-PLS, 2 component; r 2 boot = 0.81; RMSEP boot =1.43 °C) based on a modern calibration data set of 193 lakes and 162 taxa from East and West Siberia (61-75°N, 50-140 °E, T July range 1.8 - 18.8 °C). The mean July air temperature of the lakes for the calibration data set was derived from New et al. (2002, doi:10.3354/cr021001). The TJuly NR model was previously applied to palaeoclimatic inferences in Europe, arctic Russia, East and West Siberia, and demonstrated a high reliability of the reconstructed parameters. The chironomid-inferred TJuly were corrected to 0 m a.s.l. using a modern July air temperature lapse ...

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