Calm data at station Samoylov (2023) ...

Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37 °N, 126.48 °E). The location is characterized by a cold, d...

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Bibliographic Details
Main Authors: Miesner, Frederieke, Bolshiyanov, Dimitry Yu, Bornemann, Niko, Cable, William L, Grigoriev, Mikhail N, Grünberg, Inge, Boike, Julia
Format: Dataset
Language:unknown
Published: PANGAEA 2024
Subjects:
active layer
dataset
LTO
Samoylov
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Text file
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Weather station/meteorological observation
Permafrost Research AWI_Perma
lena river
permafrost
Tundra
Siberia
Online Access:https://dx.doi.org/10.1594/pangaea.965705
https://doi.pangaea.de/10.1594/PANGAEA.965705
Description
Summary:Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37 °N, 126.48 °E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of −11.7 °C (using years with complete data between 1998 and 2017). The mean monthly temperatures over this period varied between 9.4 °C in the warmest month (July) and −31.7 °C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere. The ...

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