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Developing accurate large-scale drought prediction models is challenging due to the complex temporal and spatial correlation patterns that govern drought dynamics, as well as the compounding effects of anthropogenic activities and global climate change. Although recent advances in deep learning have yielded effective drought prediction models, many struggle to fully capture the heterogeneous spati

Global change is altering forests worldwide, with multiple consequences for ecosystem functioning. Temporal changes in climate, and extreme, compounded weather events like hotter droughts are affecting the demography, composition and function of forests, leading to a highly uncertain future. To accurately predict future forest responses to hotter droughts, we highlight the need for considering a b

Satellite remote sensing offers global-scale soil moisture (SM) estimation to assess water and energy cycles. However, the coarse resolution of SM products from microwave remote sensing is unsuitable for fine-scale analysis. This study explored spatial downscaling methods to refine the 0.25° ESA CCI SM product to a 1-km resolution, utilizing optical and thermal remote sensing data, including the n

Multiple tipping points in the Earth system could be triggered when global warming exceeds specific thresholds. However, the degree of their impact on the East Asian hydroclimate remains uncertain due to the lack of quantitative rainfall records. Here we present an ensemble reconstruction of East Asian summer monsoon (EASM) rainfall since the Last Glacial Maximum (LGM) using nine statistical and m

Compared to lake area and water level, lake storage capacity more intuitively reflects regional climate changes. In this study, we first derived lakebed elevation profiles for individual ICESat-2 tracks based on the underwater stratification of laser photons, then integrating all valid elevation tracks within the water body to interpolate the bathymetry. On this basis, we calculated the capacity a

Methane (CH4) oxidation in well-drained soils is a key process contributing to the global CH4 sink. Yet, temporal and depth-specific CH4 oxidation is rarely described despite being critical for the surface net CH4 uptake. Here, we linked year-round field observations of CH4 fluxes in well-drained cultivated soils with subsurface CH4 concentrations, laboratory incubations, and process-based modelin

Accurately characterizing dry-season water availability (Wd) is critical for projecting terrestrial carbon exchange and global water security. Wd is commonly calculated as the minimum value of precipitation minus evapotranspiration within each calendar year. However, Earth System Model (ESM) projected Wd contains substantial uncertainties and can disagree on even the sign. Based on a newly propose

This study aimed to quantify the impact of sponge city facilities on both runoff reduction and carbon emission mitigation, providing valuable insights for sustainable urban development. Using the Storm Water Management Model (SWMM) 5.2 in conjunction with carbon emission factor calculations, we comparatively evaluated the annual runoff reduction and carbon emission abatement potential of tradition

Chlorophyll-a (Chl-a) is one of the critical water quality indicators that shows the eutrophication status of aquatic ecosystems. As the largest lake and a well-known attraction in middle Europe, Lake Balaton contributes 70 % or more of local economy through tourism, while also maintaining a unique biodiversity. Therefore, long-term monitoring of water quality is essential for its effective manage

Accurately simulating soil organic carbon (SOC) dynamics is essential for carbon-related assessments. Process-oriented SOC models employ temperature (f(T)) and soil moisture (f(W)) response functions derived from specific conditions to simulate SOC responses to climate change, yet are widely applied in regional and global-scale studies. How these functions affect regional SOC simulations remains u

Climate change, characterized by an increase in extreme climatic events, poses a significant threat to forest productivity worldwide, potentially compromising its critical role in regulating the global carbon cycle. The response of forest productivity to compound events, such as hotter droughts, can be strongly modulated by functional traits. Forests dominated by acquisitive tree species (prioriti

Soil moisture is an essential component for the planetary balance between land surface water and energy. Obtaining long-term global soil moisture data is important for understanding the water cycle changes in the warming climate. To date several satellite soil moisture products are being developed with varying retrieval algorithms, however with considerable missing values. To resolve the data gaps

The study aimed to investigate if primary health care centers (PHCCs) offering nurse-managed hypertensive care differ from PHCCs with other types of hypertension care regarding blood pressure levels and other key indicators. In this cross-sectional study of the hypertension care given in PHCCs in Stockholm County (now called Region Stockholm), we included all 227 PHCCs in the region. To assess the

The impact of livestock grazing on soil organic carbon (SOC) stocks in the Sahel has been poorly documented due to a lack of data from different grazing intensities. This study evaluated SOC stocks under four grazing intensities within 0–30 cm soil depth in dry savanna ecosystems of Senegal. It also examined possible indirect relationships between grazing and SOC through herbaceous species diversi

Aim: Our primary aim was to assess how dispersal limitation affected forest changes in the Northern Hemisphere during the last glacial cycle, and especially after the last deglaciation. Location: Northern Hemisphere (between 20°N and 80°N). Time Period: 50,000–0 years before present. Major Taxa Studied: Angiosperms and gymnosperms. Methods: We used the LPJ-GM 2.0 dynamic global vegetation model to

Climate warming exacerbates the degradation of the mountain cryosphere, including glacier retreat, permafrost degradation, and snow cover reduction. These changes dramatically alter the local and downstream hydrological regime, posing significant threats to basin-scale water resource management and sustainable development. However, this issue is still not adequately addressed, particularly in moun

Terrestrial vegetation is a crucial component of the Earth system, and its changes not only represent one of the most distinct aspects of climate change but also exert significant feedback within the climate system by exchanging energy, moisture, and carbon dioxide. To quantitatively and mechanistically study climate-vegetation feedback, numerical vegetation models have been developed on the theor

Amassing the available solar energy over the Sahara desert, through the installation of a large-scale solar farm, would satisfy the world’s current electricity needs. However, such land use changes may affect the global carbon cycle, possibly offsetting mitigation efforts. Here a fully coupled Earth System model EC-Earth was used to investigate the impact of a Saharan solar farm on the terrestrial