نتائج البحث

GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features.

• Authors : Ohmer, Marc¹ (AUTHOR) ; Liesch, Tanja¹ (AUTHOR); Habbel, Bastian¹ (AUTHOR)

• Source: Earth System Science Data. 2026, Vol. 18 Issue 1, p77-95. 19p.

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OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.

• Authors : Hengl, Tomislav¹ (AUTHOR) ; Consoli, Davide¹ (AUTHOR); Tian, Xuemeng¹ (AUTHOR)

• Source: Earth System Science Data. 2026, Vol. 18 Issue 2, p989-1036. 48p.

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WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016-2022

• Authors : Nilsson, Mats; Peichl, Matthias; Sveriges lantbruksuniversitet, Originator

Subjects: Geosciences; Multidisciplinary; Multidisciplinär geovetenskap

• Source: Earth System Science Data. 17:2507-2534

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A global monthly 3D field of seawater pH over 3 decades: a machine learning approach.

• Authors : Zhong, Guorong^1,2,3,4 (AUTHOR); Li, Xuegang^1,2,3,4 (AUTHOR) ; Song, Jinming^1,2,3,4 (AUTHOR)

• Source: Earth System Science Data. 2025, Vol. 17 Issue 2, p719-740. 22p.

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Tracking county-level cooking emissions and their drivers in China from 1990 to 2021 with ensemble machine learning.

• Authors : Li, Zeqi^1,2 (AUTHOR); Zhao, Bin^1,2 (AUTHOR); Li, Shengyue^1,2 (AUTHOR)

• Source: Earth System Science Data. Oct2025, Vol. 17 Issue 10, p5113-5135. 23p.

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Global projections of heat stress at high temporal resolution using machine learning

• Authors : P. Georgiades; T. Economou; Y. Proestos

Subjects: Environmental sciences; QE1-996.5; GE1-350

• Source: Earth System Science Data, Vol 17, Pp 1153-1171 (2025)

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GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present.

• Authors : Yin, Jiabo¹ (AUTHOR) ; Slater, Louise J.² (AUTHOR); Khouakhi, Abdou³ (AUTHOR)

• Source: Earth System Science Data. 2023, Vol. 15 Issue 12, p5597-5615. 19p.

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Barium in seawater: dissolved distribution, relationship to silicon, and barite saturation state determined using machine learning.

• Authors : Mete, Öykü Z.^1,2,3,4 (AUTHOR) ; Subhas, Adam V.¹ (AUTHOR); Kim, Heather H.¹ (AUTHOR)

• Source: Earth System Science Data. 2023, Vol. 15 Issue 9, p4023-4045. 23p.

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A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes.

• Authors : Li, Jianfeng¹ (AUTHOR) ; Geiss, Andrew¹ (AUTHOR); Feng, Zhe¹ (AUTHOR)

• Source: Earth System Science Data. 2025, Vol. 17 Issue 8, p3721-3740. 20p.

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Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets.

• Authors : Dhomse, Sandip S.^1,2 (AUTHOR) ; Chipperfield, Martyn P.^1,2 (AUTHOR)

• Source: Earth System Science Data. 2023, Vol. 15 Issue 11, p5105-5120. 16p.

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