Results 21 to 30 of about 20,566 (234)

Variability in snow cover phenology in China from 1952 to 2010 [PDF]

Hydrology and Earth System Sciences, 2016
Abstract. Daily snow observation data from 672 stations in China, particularly the 296 stations with over 10 mean snow cover days (SCDs) in a year during the period of 1952–2010, are used in this study. We first examine spatiotemporal variations and trends of SCDs, snow cover onset date (SCOD), and snow cover end date (SCED).
C.-Q. Ke, X.-C. Li, H. Xie, D.-H. Ma, X. Liu, C. Kou   +5 more
openaire   +4 more sources

Observed contrast changes in snow cover phenology in northern middle and high latitudes from 2001-2014. [PDF]

Sci Rep, 2015
AbstractQuantifying and attributing the phenological changes in snow cover are essential for meteorological, hydrological, ecological and societal implications. However, snow cover phenology changes have not been well documented. Evidence from multiple satellite and reanalysis data from 2001 to 2014 points out that the snow end date (De) advanced by 5 ...
Chen X, Liang S, Cao Y, He T, Wang D.
europepmc   +4 more sources

Phenological Responses to Snow Seasonality in the Qilian Mountains Is a Function of Both Elevation and Vegetation Types

Remote Sensing, 2022
In high-elevation mountains, seasonal snow cover affects land surface phenology and the functioning of the ecosystem. However, studies regarding the long-term effects of snow cover on phenological changes for high mountains are still limited.
Yantao Liu, Wei Zhou, Si Gao, Xuanlong Ma, Kai Yan   +4 more
doaj   +1 more source

Assessing Snow Phenology and Its Environmental Driving Factors in Northeast China

Remote Sensing, 2022
Snow cover is an important water source and even an Essential Climate Variable (ECV) as defined by the World Meteorological Organization (WMO).
Hui Guo, Xiaoyan Wang, Zecheng Guo, Siyong Chen   +3 more
doaj   +1 more source

Differences in Phenological Estimation From Multi-Vegetation Indices Across the Yellow River Basin. [PDF]

Ecol Evol
This study evaluated the differential performance of PPI, kNDVI, and EVI in monitoring land surface phenology across the Yellow River Basin. The three vegetation indices showed pronounced divergence in capturing autumn phenological metrics, particularly the downturn date (DD) and recession date (RD).
Yu Q, Bai Y, Wang J.
europepmc   +2 more sources

Spring Temperature and Snow Cover Climatology Drive the Advanced Springtime Phenology (1991–2014) in the European Alps [PDF]

Journal of Geophysical Research: Biogeosciences, 2021
AbstractShifts in phenology are important traces of climate change affecting mountainous ecosystems. We present an analysis of changes in spring phenology using a suite of Earth observation based parameters, that is, start of season (SOS), snow cover extent and meteorological variables from 1991 up to 2012/2014 for the European Alps.
Xie, Jing, Hüsler, Fabia, de Jong, Rogier, Chimani, Barbara, Asam, Sarah, Sun, Yeran, Schaepman, Michael E, Kneubühler, Mathias   +7 more
openaire   +3 more sources

Declining snow cover may affect spring phenological trend on the Tibetan Plateau [PDF]

Proceedings of the National Academy of Sciences, 2013
Zhang et al. (1) report that the Tibetan Plateau experienced a continuous advancing start of green-up date (SOS) from 1982 to 2011 based on the merged Global Inventory Modeling and Mapping Studies (GIMMS)-based with Moderate Resolution Imaging Spectroradiometer (MODIS) [Systeme Pour l’Observation de la Terre vegetation (SPOT-VGT)]-based SOSs.
Wang, T., Peng, S., Lin, X., Chang, J.
openaire   +3 more sources

Spatiotemporal Variation of Snow Cover and Its Response to Climate Change in the Source Region of the Yangtze River, China

Atmosphere, 2022
In the context of global warming, snow cover changes have an extremely important impact on the hydrological cycle and the redistribution of water resources in arid and semi-arid regions.
Mengqi Shi, Zhe Yuan, Xiaofeng Hong, Simin Liu   +3 more
doaj   +1 more source

Dynamic identification of snow phenology in the Northern Hemisphere [PDF]

The Cryosphere
Snow phenology characterizes the cyclical changes in snow and has become an important indicator of climate change in recent decades. Changes in snow phenology can significantly impact climate and hydrological conditions.
L. Wang, X. Miao, X. Hu, Y. Li, B. Qiu, J. Ge, W. Guo   +6 more
doaj   +1 more source

Evaluation of E3SM land model snow simulations over the western United States [PDF]

The Cryosphere, 2023
Seasonal snow has crucial impacts on climate, ecosystems, and humans, but it is vulnerable to global warming. The land component (ELM) of the Energy Exascale Earth System Model (E3SM) mechanistically simulates snow processes from accumulation, canopy ...
D. Hao, G. Bisht, K. Rittger, T. Stillinger, E. Bair, Y. Gu, L. R. Leung   +6 more
doaj   +1 more source