Preprints
https://doi.org/10.5194/essd-2024-9
https://doi.org/10.5194/essd-2024-9
23 Jan 2024
 | 23 Jan 2024
Status: this preprint is currently under review for the journal ESSD.

Spatially Extensive Long-term Quality-assured Land-atmosphere Interactions Dataset over the Tibetan Plateau

Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaoming Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li

Abstract. Climate over the Tibetan Plateau (TP) has undergone substantial changes in recent decades due to its sensitive to global climate change. Regional land-atmosphere interactions are closely linked to the changes that have emerged across the TP. The TP is recognized as an ideal natural laboratory for monitoring ongoing climate changes and examining the mechanisms of land-atmosphere interactions over this high mountain region with diverse landscapes. Current models and satellites are struggle to accurately depict the interactions, critical field observations on land-atmosphere interactions here therefore provide necessitate independent validation data and fine-scale process insights for constraining reanalysis products, remote sensing retrievals, and land surface model parameterizations. Scientific data sharing is crucial for the TP since acquiring critical field observations under this diverse topography and harsh conditions is challenging. However, in-situ observations are currently scattered among individuals or small groups and have yet to be integrated for comprehensive analysis, preventing a better understanding of the interactions, the unprecedented changes they generate, and the substantial massive ecological and environmental consequences they bring about. Here, we collaborated with different agencies and organizations to present a comprehensive dataset for hourly measurements of surface energy balance components, soil hydrothermal properties, and near-surface micrometeorological conditions spanning up to 17 years (2005–2021). This dataset is compiled from 12 field stations covering typical TP landscapes, and represents the most extensive in-situ observation data available for studying land-atmosphere interactions on the TP to date in terms of both spatial coverage and duration. To assure data quality, a set of rigorous data processing and quality control procedures are implemented for all observation elements in this dataset. The operational workflow and procedures are individually tailored to the varied types of elements at each station, including automated error screening, manual inspection, diagnostic checking, adjustments, and quality flagging. The hourly data series, the quality-assured data, and supplementary information including data integrity and the percentage of correct data on a monthly scale are provided via the National Tibetan Plateau Data Center (https://doi.org/10.11888/Atmos.tpdc.300977, Ma et al., 2023). The current dataset provides the benchmark constraints needed to both evaluate and improve the land surface models, reanalysis products, and remote sensing retrievals. Additionally, it is capable of characterizing fine-scale processes for land-atmosphere interactions of the TP and the underlying influence mechanisms.

Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaoming Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li

Status: open (until 11 Mar 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-9', Anonymous Referee #1, 21 Feb 2024 reply
  • RC2: 'Comment on essd-2024-9', Shiqin Xu, 01 Mar 2024 reply
Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaoming Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li

Data sets

Spatially Extensive Long-term Quality-assured Land-atmosphere Interactions Dataset over the Tibetan Plateau Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaomin Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li https://doi.org/10.11888/Atmos.tpdc.300977

Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaoming Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li

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Short summary
Current models and the satellites struggle to accurately represent the land-atmosphere (L-A) interactions over the Tibetan Plateau. We present the most extensive compilation of in-situ observations to date, comprising 17 years of data on L-A interactions across 12 sites. This quality-assured benchmark dataset provides independent validation to improve models and remote sensing for the region and it enables new investigations of fine-scale L-A processes and their mechanistic drivers
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