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A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
Global soil moisture estimates from current satellite missions are suffering from inherent
discontinuous observations and coarse spatial resolution, which limit applications especially …
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
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 …
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
Compound drought‐heatwave (CDHW) events threaten ecosystem productivity and are
often characterized by low soil moisture (SM) and high vapor pressure deficit (VPD) …
often characterized by low soil moisture (SM) and high vapor pressure deficit (VPD) …
Applications of Explainable artificial intelligence in Earth system science
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 …
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
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 …
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 …
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
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural
production and optimizing irrigation management, as forecasting skills are relatively weak …
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 …
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 …
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 …
triggered by precipitation heavily relies on hydrometeorological factors, specifically …