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  • The 1st NOAA Workshop on Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction x
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Sid-Ahmed Boukabara, Vladimir Krasnopolsky, Jebb Q. Stewart, Eric S. Maddy, Narges Shahroudi, and Ross N. Hoffman

ensemble of ML networks to produce high resolution (250 m) operational global maps of six soil properties at seven vertical levels. Inputs were 150,000 soil profiles and 158 remotely sensed soil covariates. Landschützer et al. (2013) created 1° resolution maps of partial pressure of carbon dioxide ( p CO 2 ) in a two-step process based on observations and estimates of sea surface temperature, sea surface salinity, mixed layer depth, chlorophyll a , and atmospheric CO 2 concentration. First, 16

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Yaling Liu, Dongdong Chen, Soukayna Mouatadid, Xiaoliang Lu, Min Chen, Yu Cheng, Zhenghui Xie, Binghao Jia, Huan Wu, and Pierre Gentine

Bureau of Statistics of China 2020 ). Further, recent studies have revealed that dry extremes are prone to become more frequent and intense in China ( Elliott et al. 2014 ; Trenberth et al. 2014 ). At the same time, since China spans a vast area, environmental factors such as soil properties (e.g., soil texture, structure, organic matter, depth, density, and salinity) ( Shangguan et al. 2013 ), climate (e.g., precipitation, solar radiation, temperature, etc.) ( Chen et al. 2011 ; Dee et al. 2011

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