A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution

C Zheng, L Jia, T Zhao - Scientific Data, 2023 - nature.com
Global soil moisture estimates from current satellite missions are suffering from inherent
discontinuous observations and coarse spatial resolution, which limit applications especially …

Soil emissions of reactive nitrogen accelerate summertime surface ozone increases in the North China Plain

W Tan, H Wang, J Su, R Sun, C He, X Lu… - Environmental …, 2023 - ACS Publications
Summertime surface ozone in China has been increasing since 2013 despite the policy-
driven reduction in fuel combustion emissions of nitrogen oxides (NO x). Here we examine …

Soil moisture dominates the forest productivity decline during the 2022 China compound drought‐heatwave event

D Zhao, Z Zhang, Y Zhang - Geophysical Research Letters, 2023 - Wiley Online Library
Compound drought‐heatwave (CDHW) events threaten ecosystem productivity and are
often characterized by low soil moisture (SM) and high vapor pressure deficit (VPD) …

Applications of Explainable artificial intelligence in Earth system science

F Huang, S Jiang, L Li, Y Zhang, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, artificial intelligence (AI) rapidly accelerated its influence and is expected to
promote the development of Earth system science (ESS) if properly harnessed. In …

Critical role of water conditions in the responses of autumn phenology of marsh wetlands to climate change on the Tibetan Plateau

X Shen, M Shen, C Wu, J Peñuelas… - Global change …, 2024 - Wiley Online Library
Abstract The Tibetan Plateau, housing 20% of China's wetlands, plays a vital role in the
regional carbon cycle. Examining the phenological dynamics of wetland vegetation in …

Spatial distribution prediction of soil heavy metals based on random forest model

S Nie, H Chen, X Sun, Y An - Sustainability, 2024 - mdpi.com
Mastering the spatial distribution of soil heavy metal content and evaluating the pollution
status of soil heavy metals is of great significance for ensuring agricultural production and …

[HTML][HTML] Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records

X Wang, G Corzo, H Lü, S Zhou, K Mao, Y Zhu… - Agricultural Water …, 2024 - Elsevier
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural
production and optimizing irrigation management, as forecasting skills are relatively weak …

Spatial and temporal variations of ecosystem water use efficiency and its response to soil moisture drought in a water-limited watershed of northern China

T Zhang, W Quan, J Tian, J Li, P Feng - Journal of Environmental …, 2024 - Elsevier
Drought synchronously affects the water cycle and interferes with the carbon cycle in
terrestrial ecosystems. Ecosystem water use efficiency (WUE), serving as a vital metric for …

[HTML][HTML] Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model

X **ao, W Ming, X Luo, L Yang, M Li, P Yang… - Agricultural Water …, 2024 - Elsevier
Accurate monitoring of agricultural droughts in data-scarce areas remains a challenge due
to their intricate spatiotemporal patterns. Deep learning represents a promising approach for …

Precipitation-induced landslide risk escalation in China's urbanization with high-resolution soil moisture and multi-source precipitation product

K He, X Chen, D Zhao, X Yu, Y **, Y Liang - Journal of Hydrology, 2024 - Elsevier
Landslides pose a formidable natural hazard. Accurate risk assessment of landslides
triggered by precipitation heavily relies on hydrometeorological factors, specifically …