Homogenization of the Observed Surface Relative Humidity From 1959 to 2020 in China

Abstract In the early 2000s, China replaced manual psychrometers with capacitive sensors for surface relative humidity (RH) measurements despite the latter's known stability issues and the need for frequent calibration. This study employs sparse‐input reanalysis as a reference to detect and correct potential inhomogeneities in observed surface RH records from 2380 stations across China (1959–2020). Systematic inhomogeneities are primarily linked to the nationwide replacement of psychrometers with capacitive sensors in the 2000s and subsequent sensor instability. Raw data suggest an artificial decreasing trend of −0.43% per decade in RH particularly pronounced in southern China. Homogenization effectively removes this spurious trend, yielding stable RH records and eliminating regional discrepancies. Manual psychrometers derive RH from measurements of dry‐bulb and wet‐bulb temperatures using a psychrometric coefficient—a function of wind speed that is typically assumed constant. In this study, we calculated the psychrometric coefficient based on wind speed and applied it to derive RH, revealing that the raw manual psychrometer data overestimate RH by approximately 1.5% in China. This result supports our homogenization corrections and aligns with findings from nearby stations used as references. Because ERA5 and JRA‐55 assimilate raw data, they inherit these artificial trends in their surface‐level analyses. These findings have important implications for the reported RH decline over land in the 21st century given that the instrument replacement occurred worldwide.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-03-24
DOI
https://doi.org/10.1029/2024jd042644
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Homogenization of the Observed Surface Relative Humidity From 1959 to 2020 in China

Zhengtai Zhang, Kaicun Wang, Runze Li, Changjian Yin
2 citations
Journal of Geophysical Research Atmospheres
Climate variability and models
2.21
article

Homogenization of the Observed Surface Relative Humidity From 1959 to 2020 in China

Zhengtai Zhang, Kaicun Wang, Runze Li, Changjian Yin
article en
2 citations

Abstract

Abstract In the early 2000s, China replaced manual psychrometers with capacitive sensors for surface relative humidity (RH) measurements despite the latter's known stability issues and the need for frequent calibration. This study employs sparse‐input reanalysis as a reference to detect and correct potential inhomogeneities in observed surface RH records from 2380 stations across China (1959–2020). Systematic inhomogeneities are primarily linked to the nationwide replacement of psychrometers with capacitive sensors in the 2000s and subsequent sensor instability. Raw data suggest an artificial decreasing trend of −0.43% per decade in RH particularly pronounced in southern China. Homogenization effectively removes this spurious trend, yielding stable RH records and eliminating regional discrepancies. Manual psychrometers derive RH from measurements of dry‐bulb and wet‐bulb temperatures using a psychrometric coefficient—a function of wind speed that is typically assumed constant. In this study, we calculated the psychrometric coefficient based on wind speed and applied it to derive RH, revealing that the raw manual psychrometer data overestimate RH by approximately 1.5% in China. This result supports our homogenization corrections and aligns with findings from nearby stations used as references. Because ERA5 and JRA‐55 assimilate raw data, they inherit these artificial trends in their surface‐level analyses. These findings have important implications for the reported RH decline over land in the 21st century given that the instrument replacement occurred worldwide.

Journal of Geophysical Research AtmospheresVol. 130(6)
Peking University (CN), University of California, Irvine (US), Irvine University (US), Lanzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Climate variability and models
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.