Spatial–Temporal Variations in Frost-Free Days During 1961–2023 in Qinghai Province, China

Rational development and utilization of cli mate resources are essential for mitigating frost disasters, particularly in high-altitude regions. This study investigates the spatiotemporal characteristics of frost events in Qinghai Province to improve understanding of frost evolution under climate change. Daily minimum temperature data from 51 meteorological stations from 1961 to 2023 were analyzed to determine the first frost date (FFD), last frost date (LFD), and frost-free period (FFP), along with their trends and influencing factors. Results show that the mean FFD, LFD, and FFP were 5 October, 14 May, and 144 days, respectively. Over the past six decades, LFD advanced, whereas FFD was delayed, leading to a marked extension of FFP, with trends of 2.08, 2.87, and 4.68 days per decade, respectively. These changes became more pronounced after the 1990s. Spatially, lower-altitude regions exhibited later FFD, earlier LFD, and longer FFP, whereas higher-altitude regions showed the opposite pattern. Correlation analysis indicates that frost characteristics are most strongly influenced by altitude, followed by latitude and longitude. Overall, climate warming has shortened the frost season and extended the growing period in Qinghai Province. These findings provide a scientific basis for optimizing agricultural zoning, adjusting cropping systems, and improving climate resilience in cold, high-altitude regions.

Authors

Institutions

Publication Details

Journal
Atmosphere
Published
2026-07-30
DOI
https://doi.org/10.3390/atmos17080741
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial–Temporal Variations in Frost-Free Days During 1961–2023 in Qinghai Province, China

Li Fei, Fan Li, Yingcun Yan, Mengfan Zhao et al.
Atmosphere
Climate variability and models
article

Spatial–Temporal Variations in Frost-Free Days During 1961–2023 in Qinghai Province, China

Li Fei, Fan Li, Yingcun Yan, Mengfan Zhao, Guoqian Chen, Liangdong Yan
article en

Abstract

Rational development and utilization of cli mate resources are essential for mitigating frost disasters, particularly in high-altitude regions. This study investigates the spatiotemporal characteristics of frost events in Qinghai Province to improve understanding of frost evolution under climate change. Daily minimum temperature data from 51 meteorological stations from 1961 to 2023 were analyzed to determine the first frost date (FFD), last frost date (LFD), and frost-free period (FFP), along with their trends and influencing factors. Results show that the mean FFD, LFD, and FFP were 5 October, 14 May, and 144 days, respectively. Over the past six decades, LFD advanced, whereas FFD was delayed, leading to a marked extension of FFP, with trends of 2.08, 2.87, and 4.68 days per decade, respectively. These changes became more pronounced after the 1990s. Spatially, lower-altitude regions exhibited later FFD, earlier LFD, and longer FFP, whereas higher-altitude regions showed the opposite pattern. Correlation analysis indicates that frost characteristics are most strongly influenced by altitude, followed by latitude and longitude. Overall, climate warming has shortened the frost season and extended the growing period in Qinghai Province. These findings provide a scientific basis for optimizing agricultural zoning, adjusting cropping systems, and improving climate resilience in cold, high-altitude regions.

AtmosphereVol. 17(8)
Qinghai University (CN), Institute of Disaster Prevention (CN), Qinghai Meteorological Institute (CN)
Climate action
Openalex Percentile: Top 11%
Climate variability and models
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.