A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models
<p>The existing medium-resolution land cover time series produced under the European Space Agency's Climate Change Initiative provides 29 years (1992–2020) of annual land cover maps at 300 m resolution, allowing for a detailed study of land change dynamics over the contemporary era. Becau...
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Language: | English |
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Copernicus Publications
2023-03-01
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Series: | Earth System Science Data |
Online Access: | https://essd.copernicus.org/articles/15/1465/2023/essd-15-1465-2023.pdf |
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author | K. L. Harper C. Lamarche A. Hartley P. Peylin C. Ottlé V. Bastrikov R. San Martín S. I. Bohnenstengel G. Kirches M. Boettcher R. Shevchuk C. Brockmann P. Defourny |
author_facet | K. L. Harper C. Lamarche A. Hartley P. Peylin C. Ottlé V. Bastrikov R. San Martín S. I. Bohnenstengel G. Kirches M. Boettcher R. Shevchuk C. Brockmann P. Defourny |
author_sort | K. L. Harper |
collection | DOAJ |
description | <p>The existing medium-resolution land cover time series produced
under the European Space Agency's Climate Change Initiative provides 29 years (1992–2020) of annual land cover maps at 300 m resolution, allowing
for a detailed study of land change dynamics over the contemporary era.
Because models need two-dimensional parameters rather than two-dimensional
land cover information, the land cover classes must be converted into
model-appropriate plant functional types (PFTs) to apply this time series to
Earth system and land surface models. The first-generation cross-walking table that was presented with the land cover product prescribed pixel-level
PFT fractional compositions that varied by land cover class but that lacked spatial variability. Here we describe a new ready-to-use data product for
climate modelling: spatially explicit annual maps of PFT fractional
composition at 300 m resolution for 1992–2020, created by fusing the 300 m
medium-resolution land cover product with several existing high-resolution
datasets using a globally consistent method. In the resulting data product,
which has 14 layers for each of the 29 years, pixel values at 300 m
resolution indicate the percentage cover (0 %–100 %) for each of 14 PFTs,
with pixel-level PFT composition exhibiting significant intra-class spatial
variability at the global scale. We additionally present an updated version
of the user tool that allows users to modify the baseline product (e.g. re-mapping, re-projection, PFT conversion, and spatial sub-setting) to meet
individual needs. Finally, these new PFT maps have been used in two land
surface models – Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and the Joint UK Land Environment Simulator (JULES) – to demonstrate their benefit over the conventional maps based on a generic cross-walking table. Regional changes
in the fractions of trees, short vegetation, and bare-soil cover induce changes in surface properties, such as the albedo, leading to significant
changes in surface turbulent fluxes, temperature, and vegetation carbon
stocks. The dataset is accessible at <a href="https://doi.org/10.5285/26a0f46c95ee4c29b5c650b129aab788">https://doi.org/10.5285/26a0f46c95ee4c29b5c650b129aab788</a> (Harper et al., 2023).</p> |
first_indexed | 2024-04-09T20:14:15Z |
format | Article |
id | doaj.art-6005b152bd0a46bbbee7c15e22082393 |
institution | Directory Open Access Journal |
issn | 1866-3508 1866-3516 |
language | English |
last_indexed | 2024-04-09T20:14:15Z |
publishDate | 2023-03-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Earth System Science Data |
spelling | doaj.art-6005b152bd0a46bbbee7c15e220823932023-03-31T12:03:09ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-03-01151465149910.5194/essd-15-1465-2023A 29-year time series of annual 300 m resolution plant-functional-type maps for climate modelsK. L. Harper0C. Lamarche1A. Hartley2P. Peylin3C. Ottlé4V. Bastrikov5R. San Martín6S. I. Bohnenstengel7G. Kirches8M. Boettcher9R. Shevchuk10C. Brockmann11P. Defourny12Earth and Life Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, BelgiumEarth and Life Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, BelgiumMet Office Hadley Centre, Exeter, EX1 3PB, UKLaboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, FranceMetOffice@Reading, Reading, RG6 6BB, UKBrockmann Consult GmbH, 21029 Hamburg, GermanyBrockmann Consult GmbH, 21029 Hamburg, GermanyBrockmann Consult GmbH, 21029 Hamburg, GermanyBrockmann Consult GmbH, 21029 Hamburg, GermanyEarth and Life Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium<p>The existing medium-resolution land cover time series produced under the European Space Agency's Climate Change Initiative provides 29 years (1992–2020) of annual land cover maps at 300 m resolution, allowing for a detailed study of land change dynamics over the contemporary era. Because models need two-dimensional parameters rather than two-dimensional land cover information, the land cover classes must be converted into model-appropriate plant functional types (PFTs) to apply this time series to Earth system and land surface models. The first-generation cross-walking table that was presented with the land cover product prescribed pixel-level PFT fractional compositions that varied by land cover class but that lacked spatial variability. Here we describe a new ready-to-use data product for climate modelling: spatially explicit annual maps of PFT fractional composition at 300 m resolution for 1992–2020, created by fusing the 300 m medium-resolution land cover product with several existing high-resolution datasets using a globally consistent method. In the resulting data product, which has 14 layers for each of the 29 years, pixel values at 300 m resolution indicate the percentage cover (0 %–100 %) for each of 14 PFTs, with pixel-level PFT composition exhibiting significant intra-class spatial variability at the global scale. We additionally present an updated version of the user tool that allows users to modify the baseline product (e.g. re-mapping, re-projection, PFT conversion, and spatial sub-setting) to meet individual needs. Finally, these new PFT maps have been used in two land surface models – Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and the Joint UK Land Environment Simulator (JULES) – to demonstrate their benefit over the conventional maps based on a generic cross-walking table. Regional changes in the fractions of trees, short vegetation, and bare-soil cover induce changes in surface properties, such as the albedo, leading to significant changes in surface turbulent fluxes, temperature, and vegetation carbon stocks. The dataset is accessible at <a href="https://doi.org/10.5285/26a0f46c95ee4c29b5c650b129aab788">https://doi.org/10.5285/26a0f46c95ee4c29b5c650b129aab788</a> (Harper et al., 2023).</p>https://essd.copernicus.org/articles/15/1465/2023/essd-15-1465-2023.pdf |
spellingShingle | K. L. Harper C. Lamarche A. Hartley P. Peylin C. Ottlé V. Bastrikov R. San Martín S. I. Bohnenstengel G. Kirches M. Boettcher R. Shevchuk C. Brockmann P. Defourny A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models Earth System Science Data |
title | A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models |
title_full | A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models |
title_fullStr | A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models |
title_full_unstemmed | A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models |
title_short | A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models |
title_sort | 29 year time series of annual 300 thinsp m resolution plant functional type maps for climate models |
url | https://essd.copernicus.org/articles/15/1465/2023/essd-15-1465-2023.pdf |
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