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Phenology Bibliography
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Author Title Type [ Year
Filters: Author is Raul Zurita-Milla [Clear All Filters]
“Exploring Differences In Spatial Patterns And Temporal Trends Of Phenological Models At Continental Scale Using Gridded Temperature Time-Series”. International Journal Of Biometeorology. International Journal Of Biometeorology (2019). doi:10.1007/s00484-019-01826-7.
. “Development And Analysis Of Spring Plant Phenology Products: 36 Years Of 1-Km Grids Over The Conterminous Us”. Agricultural And Forest Meteorology no. Volume 262. Agricultural And Forest Meteorology (2018): 34-41. doi:10.1016/j.agrformet.2018.06.028.
. “Influence Of Source And Scale Of Gridded Temperature Data On Modelled Spring Onset Patterns In The Conterminous United States”. International Journal Of Climatology. International Journal Of Climatology (2018): 1-11. doi:10.1002/joc.5857.
. “Exploring Vegetation Phenology At Continental Scales : Linking Temperature-Based Indices And Land Surface Phenological Metrics”. Proceedings Of The 2017 Conference On Big Data From Space (Bids '17), 28-30 November 2017, Toulouse, France. Proceedings Of The 2017 Conference On Big Data From Space (Bids '17), 28-30 November 2017, Toulouse, France. Toulouse, France: Ispra, 2017. https://research.utwente.nl/en/publications/exploring-vegetation-phenology-at-continental-scales-linking-temp.
. “Identifying Anomalously Early Spring Onsets In The Cesm Large Ensemble Project”. Climate Dynamics. Climate Dynamics (2016): 1-18. doi:10.1007/s00382-016-3313-2.
. “A Novel Analysis Of Spring Phenological Patterns Over Europe Based On Co-Clustering”. Journal Of Geophysical Resources Biogeosciences. Journal Of Geophysical Resources Biogeosciences (2016). doi:10.1002/2015JG003308.
. “Developing A Workflow To Identify Inconsistencies In Volunteered Geographic Information: A Phenological Case Study”. Plos One. Plos One (2015). doi:10.1371/journal.pone.0140811.
. “Lilac And Honeysuckle Phenology Data 1956-2014”. Nature Scientific Data no. 2. Nature Scientific Data (2015). doi:10.1038/sdata.2015.38.
. “A Matlab Toolbox For Calculating Spring Indices From Daily Meteorological Data”. Computers And Geosciences no. 83. Computers And Geosciences (2015): 46–53. doi:10.1016/j.cageo.2015.06.015.
. “Trends And Natural Variability Of Spring Onset In The Coterminous United States As Evaluated By A New Gridded Dataset Of Spring Indices”. Journal Of Climate. Journal Of Climate (2015).
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