Author
Listed:
- Zhigang Liu
- Changliang Shao
- Cong Liu
- Yupeng Liu
- Jia Yang
Abstract
This study evaluated the reliability of five types of seasonal frozen soil automatic observers (DTD1, DTD2, DTD3, DTD4, and DTD5) using parallel observation data collected from 1,172 meteorological observation stations across 24 provinces (cities, districts) in China from 2020 to 2024. The assessment was based on five key indicators: data integrity rate (with a qualified threshold of 98.00%), data standard deviation (threshold of 2.00 cm), comparable data agreement rate (threshold of 80.00%), comparable data misjudgment mean (threshold of 6.00 cm), and maximum frozen soil depth data correlation (threshold of 0.80). These indicators were used to comprehensively assess the reliability of the equipment. Over the five-year period, each set of equipment progressed through three stages: in the first stage, manual observation is predominant, in the second stage, automatic observation takes precedence, and in the third stage, the system operates independently. Equipment types achieving an independent operation rate exceeding 75% were deemed to meet the reliability standards. By the end of 2024, the independent operation rates for DTD1, DTD2, DTD3, DTD4, and DTD5 were 20.00%, 88.73%, 88.24%, 35.03%, and 23.56%, respectively. Notably, the DTD2 and DTD3 models met the reliability evaluation criteria. These findings provide a robust basis for the selection and deployment of seasonal frozen soil automatic observers in future meteorological observation networks.
Suggested Citation
Zhigang Liu & Changliang Shao & Cong Liu & Yupeng Liu & Jia Yang, 2025.
"Reliability assessment of seasonal frozen soil automatic observer,"
PLOS Climate, Public Library of Science, vol. 4(8), pages 1-19, August.
Handle:
RePEc:plo:pclm00:0000688
DOI: 10.1371/journal.pclm.0000688
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pclm00:0000688. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: climate (email available below). General contact details of provider: https://journals.plos.org/climate .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.