SoftwareApplication
name: A high spatial resolution Extended Spring Indices database over American and European regions
description: A high spatial resolution Extended Spring Indices database over American and European regions
description: 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. This dataset is available at 1 km spatial resolution and covers American (1980 to 2022) and European regions (1950 to 2020). The first leaf and first bloom indices are validated with ground phenological observations collected over both regions. 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). This product can support both scientists and decision makers in their quest to hind- and forecast climate change impacts in these areas In the USA this product is recognized as an official climate change indicator (https://www.globalchange.gov/indicators/start-of-spring) An interactive visualization of this database is available here: https://emma.users.earthengine.app/view/spring-onset For more information see our publications: A Matlab© toolbox for calculating spring indices from daily meteorological data (https://doi.org/10.1016/j.cageo.2015.06.015 )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)A long-term 1 km gridded database of continental-scale spring onset products (under review)
code repository: https://data.4tu.nl/v3/datasets/454afe4e-08aa-4333-b6e8-7db7cebd0f83.git
author: https://orcid.org/0000-0002-1769-6310
author: https://orcid.org/0000-0003-2179-1262
keywords: Lilac
keywords: Climate change
keywords: Cloud computing
keywords: Ground phenological observations
keywords: Citizen Science
keywords: phenology
keywords: Honeysuckle
programming language: Markdown
programming language: Other
programming language: Python
license:
  creative work: creativeWork
    name: CC-BY-4.0

https://orcid.org/0000-0002-1769-6310
type: Person
given name: Raúl
family name: Zurita-Milla
name: Raúl Zurita-Milla

https://orcid.org/0000-0003-2179-1262
type: Person
given name: Emma
family name: Izquierdo-Verdiguier
name: Emma Izquierdo-Verdiguier