Meteorological, Radiation, and Soil Temperature Data, Kuparuk River and Nearby Watersheds: Roche Moutonnée Creek (RMC), 2015-2018.

• Main Authors: Arp, Chris, Stuefer, Sveta
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2021
• Subjects: EARTH SCIENCE > ATMOSPHERE > PRECIPITATION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > NET RADIATION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED/WIND DIRECTION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > LONGWAVE RADIATION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SHORTWAVE RADIATION; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW DEPTH; EARTH SCIENCE > CRYOSPHERE > FROZEN GROUND > SOIL TEMPERATURE; north slope; Alaska
• Online Access: https://dx.doi.org/10.18739/a2g15tc2k; https://arcticdata.io/catalog/view/doi:10.18739/A2G15TC2K

The data files in this data set contain climate information from sites on the North Slope of Alaska in or near the Kuparuk River basin. The data was collected for a hydrologic study of rivers in the North Slope region between 1985-present. Hydro-meteorological stations were established at various locations throughout the Kuparuk, but also in the Putuligayuk and Sagavanirktok watersheds. The variables collected at most stations were air temperature, humidity, wind speed and direction, soil temperature, snow temperature, precipitation, snow depth, and radiation. In the Roche Moutonnee Creek watershed (headwaters of the Sagavanirktok River), the Roche Moutonnee Creek (RMC) meteorological station operated from 2015-2018. IMPORTANT NOTE: Updates and corrections were made to the original datasets by the investigators, and all of the previously published data files should be replaced with this updated dataset. The following corrections were made to the datasets: 1) data from annual .csv files were merged into one .csv file (for each station) containing all years of data, 2) appended new data collected into the .csv file 3) standardized file headers, 4) standardized variable names, units, and sensor installation height above ground surface 5) reviewed all data for quality assurance and added qualifiers to erroneous data, 6) added a data qualifier to wind data during periods of extensive riming on wind sensors, 7) added a qualifier when air temperatures are below -39 degrees Celsius (C) (minimum reporting temperature of some air temperature sensors), and 8) removed duplicative data and fixed timestamp issues.