%0 Computer Program
%A Zurita-Milla, Raúl
%A Izquierdo-Verdiguier, Emma
%D 2024
%T A high spatial resolution Extended Spring Indices database over American and European regions
%U 
%R 10.4121/aca56a60-8fcc-45b5-b817-50b68d4b5c63.v1
%K Phenology
%K Climate change
%K Ground phenological observations
%K Citizen Science
%K Lilac
%K Honeysuckle
%K Cloud computing
%X <p>This repository contains a high spatial resolution database of spring onset indicators derived from the Extended Spring Indices (SI-x) phenological models as well as the code used to generate these phenological products. The SI-x models transform daily minimum and maximum temperatures into a set of consistent indices that track the timing of first leaf and first bloom for key indicator species, and that also allow the calculation of the so-called damage index by subtracting the date of first leaf from the date of the last freeze.</p><p></p><p>This dataset is available at 1 km spatial resolution and covers American (1980 to 2022) and European regions (1950 to 2020).</p><p>The first leaf and first bloom indices are validated with ground phenological observations collected over both regions.</p><p>The American product is based on DAYMET version 4 (https://daymet.ornl.gov/) and the European region on a downscaled E-Obs database version 3 (ftp://palantir.boku.ac.at/Public/ClimateData).</p><p></p><p>This product can support both scientists and decision makers in their quest to hind- and forecast climate change impacts in these areas</p><p>In the USA this product is recognized as an official climate change indicator (https://www.globalchange.gov/indicators/start-of-spring)</p><p></p><p>An interactive visualization of this database is available here: https://emma.users.earthengine.app/view/spring-onset</p><p></p><p>For more information see our publications:</p><ul><li>A Matlab© toolbox for calculating spring indices from daily meteorological data (https://doi.org/10.1016/j.cageo.2015.06.015 )</li><li>Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US (https://doi.org/10.1016/j.agrformet.2018.06.028)</li><li>A long-term 1 km gridded database of continental-scale spring onset products (under review)</li></ul>
%I 4TU.ResearchData