This dataset provides autonomous hydrometeorological time series recorded at a standard 1-minute interval (1,440 records per day) as well as high-frequency 1-second logging modes across three contrasting topoclimatic terrains in the Hornsund region (Wedel Jarlsberg Land, SW Spitsbergen, Svalbard) during seven consecutive summer seasons (2019–2025)
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Fugleberget slope: Deployed on the southern mountain talus slope above the unglaciated Fuglebekken catchment to capture altitudinal lapse rates, valley-slope thermal circulation, and slope-surface energy balance.
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Arie moraine: Located on the proglacial terminal moraine complex of the glaciated Ariebekken catchment to characterize katabatic glacier winds, proglacial boundary-layer heating, and periglacial thermal regimes.
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Rev: Positioned adjacent to lake Revvatnet within the unglaciated Revdalen valley system to document lacustrine microclimate, inland valley wind channeling, and moisture fluxes.
All three stations are equipped with all-in-one solid-state Gill Instruments MaxiMet weather stations (GMX series). With no moving mechanical parts, these systems avoid freezing-induced stalling and continuously log:
· 2D Ultrasonic Wind Vector: Instantaneous horizontal wind speed (m/s) and direction (°), including heading-corrected wind vectors.
· Ambient Air Temperature (° C): Precision solid-state element inside an integrated multi-plate radiation shield.
· Relative Humidity (%) and Dew Point (°C): Capacitive relative humidity sensor.
· Barometric Pressure (hPa): Solid-state piezoresistive barometric pressure cell.
· System Diagnostics: Continuous recording of logger power and battery supply voltage.
Data Organization: The raw data are organized as individual daily ASCII text files (MSLOG_YYYYMMDD.csv). An exemplary 24-hour file (MSLOG_20250701.csv, 86,399 records at 1 Hz) is provided directly in the repository, while full multi-year series (2019–2025) for each of the three stations are archived in annual seasonal zip packages.
In-situ surface and air temperatures from this terrain network serve as ground-truth validation data for high-resolution UAV thermal infrared surveys (Alphonse et al., 2024) and provide essential elevation lapse rates (t_lapse, p_lapse$) for distributed glacio-hydrological models (Hanselmann et al., 2026).
Funding notice: Monitoring during 2022–2025 was funded by the National Science Centre (NCN), Poland under grant no. UMO-2020/38/E/ST10/00139 (SONATA BIS 10; project title: Applied remote sensing and geophysical imaging in recognition of the changes of the water balance in High Arctic catchments). Fieldwork and station operations during earlier summer seasons (2019–2021) were supported by the National Science Centre (NCN), Poland under grant no. 2017/27/B/ST10/01269.