Journal ArticleDOI
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006
Michael A. White,Kirsten M. de Beurs,Kamel Didan,David W. Inouye,Andrew D. Richardson,Olaf P. Jensen,John O'Keefe,G. Zhang,Ramakrishna R. Nemani,Willem J. D. van Leeuwen,Jesslyn F. Brown,Allard de Wit,Michael E. Schaepman,Xioamao Lin,Michael D. Dettinger,Amey S. Bailey,John S. Kimball,Mark D. Schwartz,Dennis D. Baldocchi,J. T. Lee,William K. Lauenroth +20 more
TLDR
In this paper, the authors assess 10 start-of-spring (SOS) methods for North America between 1982 and 2006 and find that SOS estimates were more related to the first leaf and first flowers expanding phenological stages.Abstract:
Shifts in the timing of spring phenology are a central feature of global change research. Long-term observations of plant phenology have been used to track vegetation responses to climate variability but are often limited to particular species and locations and may not represent synoptic patterns. Satellite remote sensing is instead used for continental to global monitoring. Although numerous methods exist to extract phenological timing, in particular start-of-spring (SOS), from time series of reflectance data, a comprehensive intercomparison and interpretation of SOS methods has not been conducted. Here, we assess 10 SOS methods for North America between 1982 and 2006. The techniques include consistent inputs from the 8 km Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer NDVIg dataset, independent data for snow cover, soil thaw, lake ice dynamics, spring streamflow timing, over 16 000 individual measurements of ground-based phenology, and two temperature-driven models of spring phenology. Compared with an ensemble of the 10 SOS methods, we found that individual methods differed in average day-of-year estimates by � 60 days and in standard deviation by � 20 days. The ability of the satellite methods to retrieve SOS estimates was highest in northern latitudes and lowest in arid, tropical, and Mediterranean ecoregions. The ordinal rank of SOS methods varied geographically, as did the relationships between SOS estimates and the cryospheric/hydrologic metrics. Compared with ground observations, SOS estimates were more related to the first leaf and first flowers expanding phenological stages. We found no evidence for time trends in spring arrival from ground- or model-based data; using an ensemble estimate from two methods that were more closely related to ground observations than other methods, SOSread more
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Journal ArticleDOI
Diverse Responses of Vegetation Dynamics to Snow Cover Phenology over the Boreal Region
TL;DR: The results showed that the EVImax generally demonstrated an increasing trend, but SOS varied in different regions and vegetation types from 2001 to 2014, and snow cover should be considered when analyzing future vegetation dynamics in the boreal region.
Journal ArticleDOI
Sensitivity of Spring Phenology Simulations to the Selection of Model Structure and Driving Meteorological Data
Réka Ágnes Dávid,Zoltán Barcza,Anikó Kern,Erzsébet Kristóf,Roland Hollós,Anna Kis,Martin Lukac,Nándor Fodor +7 more
TL;DR: In this article, the authors focus on the modeling of the onset of spring leaf growth in Central Europe and use three spring phenology models driven by three meteorological datasets, and find that none of the constructed model-database combinations could reproduce the observed start of season (SOS) climatology within the study region.
Journal ArticleDOI
Sources of uncertainty in exploring rangeland phenology: A case study in an alpine meadow on the central Tibetan Plateau
Guang-shuai Zhao,Peili Shi +1 more
TL;DR: In this paper, a typical alpine rangeland near Damxung national meteorological station was selected as a case study on central Tibetan Plateau, and identified several important sources influencing phenology to better understand their effects on phenological exploration.
Journal ArticleDOI
Understanding Spatio-temporal Pattern of Grassland Phenology in the western Indian Himalayan State
Harshit Rajan,C. Jeganathan +1 more
TL;DR: In this paper, the authors have analyzed grassland phenology: start of greening (SOG), end-of-greening (EOG), and length of Greening (LOG), and their rate of change in the western Himalaya in India (Himachal Pradesh) using MODIS NDVI time series data (2001-2015).
Journal ArticleDOI
Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology
Chunyuan Diao,Geyang Li +1 more
TL;DR: In this paper , the authors compared the results of near-surface PhenoCams and high-resolution PlanetScope time series in reconciling sensor- and ground-based crop phenological characterizations.
References
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Journal ArticleDOI
FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
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Journal ArticleDOI
North american regional reanalysis
Fedor Mesinger,Geoff DiMego,Eugenia Kalnay,Kenneth E. Mitchell,Perry Shafran,Wesley Ebisuzaki,Dusan Jovic,John S. Woollen,Eric Rogers,Ernesto Hugo Berbery,Michael Ek,Yun Fan,Robert Grumbine,Wayne Higgins,Hong Li,Ying Lin,Geoff Manikin,David F. Parrish,Wei Shi +18 more
TL;DR: The North American Regional Reanalysis (NARR) project as mentioned in this paper uses the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output) to capture regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability.
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