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A 29-year time series of annual 300-metre resolution plant functional type maps for climate models
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-09-16 , DOI: 10.5194/essd-2022-296
Kandice L. Harper, Celine Lamarche, Andrew Hartley, Philippe Peylin, Catherine Ottlé, Vladislav Bastrikov, Rodrigo San Martín, Sylvia I. Bohnenstengel, Grit Kirches, Martin Boettcher, Roman Shevchuk, Carsten Brockmann, Pierre Defourny

Abstract. 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 2D parameters rather than 2D 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 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 - ORCHIDEE and 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.

中文翻译:

气候模型的 29 年时间序列,每年 300 米分辨率的植物功能类型图

摘要。根据欧洲航天局气候变化倡议制作的现有中等分辨率土地覆盖时间序列提供了 29 年(1992-2020)的 300 米分辨率的年度土地覆盖图,允许对当代土地变化动态进行详细研究. 由于模型需要二维参数而不是二维土地覆被信息,因此必须将土地覆被类别转换为适合模型的植物功能类型 (PFT),以将此时间序列应用于地球系统和地表模型。与土地覆盖产品一起呈现的第一代人行横道表规定了像素级 PFT 分数组成,这些组成因土地覆盖类别而异,但缺乏空间变异性。在这里,我们描述了一种新的即用型气候建模数据产品:1992-2020 年 300 m 分辨率的 PFT 分数组成空间显式年度地图,通过使用全球一致的方法将 300 m 中等分辨率土地覆盖产品与多个现有高分辨率数据集融合而创建。在生成的数据产品中,29 年中每年都有 14 层,300 米分辨率的像素值表示 14 个 PFT 中每一个的覆盖百分比(0-100%),像素级 PFT 组成表现出显着的内部全球范围内的类空间变异性。我们还提供了用户工具的更新版本,允许用户修改基线产品(例如,重新映射、重新投影、PFT 转换和空间子设置)以满足个人需求。最后,这些新的 PFT 地图已用于两种地表模型 - ORCHIDEE 和 JULES - 以证明它们优于基于通用人行横道表的传统地图。树木、短植被和裸露土壤覆盖率的区域变化会引起地表特性的变化,例如反照率,从而导致地表湍流通量、温度和植被碳储量的显着变化。
更新日期:2022-09-17
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