Results 11 to 20 of about 25,048 (251)

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   +5 more sources

Interplay between snow phenology and vegetation phenology in Alaska under climate change

Advances in Climate Change Research
Snow cover is one of the most important factors controlling Arctic ecosystems' microclimate and plant growth conditions in Arctic ecosystems. Climate change has impacted the timing and spatial variability of both snow cover, and worldwide vegetation ...
Ya-Qiong Mu, Tao Che, Li-Yun Dai, Shi-Wei Liu, Gui-Gang Wang   +4 more
doaj   +2 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   +2 more sources

The snow meteorology and phenology classification (SnowMAP): global snow cover observations enhance snow’s representation

Scientific Reports
Snow is a vital water resource that regulates climate, supports ecosystems, and influences economies and transportation systems, making it essential to understand its physical properties and the seasonal timing of its presence (phenology).
Jeremy Johnston, Jennifer M. Jacobs, Megan Vardaman, Eunsang Cho   +3 more
doaj   +2 more sources

Impact of Snow on Vegetation Green-Up on the Mongolian Plateau [PDF]

Plants
Snow serves as a crucial water source for vegetation growth on the Mongolian Plateau, and its temporal and spatial variations exert profound influences on terrestrial vegetation phenology.
Xiang Zhang, Chula Sa, Fanhao Meng, Min Luo, Xulei Wang, Xin Tian, Endon Garmaev   +6 more
doaj   +2 more sources

Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA [PDF]

Remote Sensing, 2021
The Yukon River basin encompasses over 832,000 km2 of boreal Arctic Alaska and northwest Canada, providing a major transportation corridor and multiple natural resources to regional communities. The river seasonal hydrology is defined by a long winter frozen season and a snowmelt-driven spring flood pulse.
Caleb G. Pan, Peter Kirchner, John S. Kimball, Jinyang Du, Michael A. Rawlins   +4 more
openaire   +3 more sources

Characterizing ecosystem phenological diversity and its macroecology with snow cover phenology [PDF]

Scientific Reports, 2019
AbstractOne critical challenge of exploring flora phenology is on characterizing ecosystem phenological diversity (EPD), and thus how EPD’s performance is influenced by climate changes has also been an open macro-ecological question. To fill these two gaps, we proposed an innovative method for reflecting EPD, by taking the advantage of the often ...
Yi Lin, Juha Hyyppä
openaire   +2 more sources

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

Land Surface Snow Phenology Based on an Improved Downscaling Method in the Southern Gansu Plateau, China

Remote Sensing, 2022
Snow is involved in and influences water–energy processes at multiple scales. Studies on land surface snow phenology are an important part of cryosphere science and are a hot spot in the hydrological community.
Lei Wu, Changbin Li, Xuhong Xie, Jianan Lv, Songbing Zou, Xuan Zhou, Na Shen   +6 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