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. 2024 Jun 6;15:4826. doi: 10.1038/s41467-024-49244-7

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — The global distribution of estimated θ_crit using Copernicus land surface temperature diurnal amplitude (dLST) and soil moisture (SM) from SMAP-IB (a), SCA-V (b) or SMOS-IC (c). The global distribution of estimated θ_crit using MODIS dLST and SM from SMAP-IB (d), SCA-V (e) or SMOS-IC (f). The median θ_crit (g) and its relative uncertainty (h) across 18 ensemble members of θ_crit (Methods).