Meteorologic data at station Samoylov (2020) ...

• Main Authors: Boike, Julia, Bolshiyanov, Dimitry Yu, Bornemann, Niko, Grigoriev, Mikhail N, Grünberg, Inge, Miesner, Frederieke
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: dataset; LTO; meterologic; Samoylov; DATE/TIME; Temperature, air; Quality flag, air temperature; Humidity, relative; Quality flag, relative humidity; Wind speed; Quality flag, wind speed; Wind direction; Quality flag, wind direction; Wind direction, standard deviation; Quality flag; Wind speed, maximum; Wind speed, minimum; Precipitation; Quality flag, precipitation; Pressure, atmospheric; Quality flag, atmospheric pressure; Short-wave downward GLOBAL radiation; Quality flag, short-wave downward GLOBAL radiation; Short-wave upward REFLEX radiation; Quality flag, short-wave upward REFLEX radiation; Long-wave downward radiation; Quality flag, long-wave downward radiation; Long-wave upward radiation; Quality flag, long-wave upward radiation; Net radiation; Quality flag, net radiation; Water level; Quality flag, water level; Snow height; Quality flag, snow height; Weather station/meteorological observation; Permafrost Research AWI_Perma; Samoylov permafrost long-term observations LTO_Permafrost_Samoylov; lena river; permafrost; Tundra; Siberia
• Online Access: https://dx.doi.org/10.1594/pangaea.949116; https://doi.pangaea.de/10.1594/PANGAEA.949116

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 monthly mean 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, such as snow ...