Precipitation-Corrected Surface Radiation Components in the Arctic Polar Urals from CNR4 Radiometer Measurements

This repository provides reconstructed radiation data from CNR4 radiometers, originally affected by precipitation events (rain or snow). The reconstruction process aims to correct corrupted radiation values and ensure data quality for long-term environmental monitoring. The dataset covers three main sites in the Polar Urals region (66°48’-66°53’N, 65°33’-66°45’E): ENGAYU, LPTEG, and RAI_IZ. Each site includes multiple plots, classified by dominant vegetation type (FOREST, TREES, or TUNDRA), and named accordingly: ENGAYU: ENGAYU_FOREST1 (EF1), ENGAYU_TREES1 (ET1), ENGAYU_TREES2 (ET2), ENGAYU_TUNDRA1 (ETN1) LPTEG: LPTEG_TREES1 (LT1), LPTEG_TREES2 (LT2), LPTEG_TUNDRA1 (LTN1), LPTEG_TUNDRA2 (LTN2) RAI_IZ: RAI_IZ_TREES1 (RT1), RAI_IZ_TUNDRA1 (RTN1) Hourly radiation data are provided for each plot, spanning a 4-year period from July 15, 2018 to July 14, 2022. The following five variables are included in the reconstructed dataset (unit: W/m²): Downward shortwave radiation (DSR) Downward longwave radiation (DLR) Upward shortwave radiation (USR) Upward longwave radiation (ULR) Surface net radiation (NR) This dataset is developed and maintained by the HYDROWIT Lab at the University of Michigan. For inquiries or technical support, please contact Taeho Kim ([e-mail]). The dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. For further methodological details and background, users are encouraged to consult the following references: [1] Taeho Kim, Wenbo Zhou, Vinh Noc Tran, Liujing Zhang, Jingfeng Wang, Modi Zhu, Aleksey Y. Sheshukov, Tianqi Zhang, Desheng Liu, Valeriy S. Mazepa, Alexandr A. Sokolov, Victor V. Valdayskikh, Valeriy Y. Ivanov, Biases in radiative flux observation due to precipitation across the Arctic forest-tundra ecotone. Agricultural and Forest Meteorology [In review].