Deep Learning Downscaling of Precipitation Projection over Central Asia DOI Open Access
Yaozhi Jiang,

Jianing Guo,

Lei Fan

и другие.

Water, Год журнала: 2025, Номер 17(7), С. 1089 - 1089

Опубликована: Апрель 5, 2025

Central Asia, as a chronically water-stressed region marked by extreme aridity, faces significant environmental challenges from intensifying desertification and deteriorating ecological stability. The region’s vulnerability to shifting precipitation regimes hydrometeorological events has been magnified under anthropogenic climate forcing. Although global models (GCMs) remain essential tools for projections, their utility in Asia’s complex terrain is constrained inherent limitations: coarse spatial resolution (~100–250 km) imperfect parameterization of orographic mechanisms. This investigation advances modeling through deep learning-enhanced statistical downscaling, employing convolutional neural networks (CNNs) generate high-resolution data at approximately 10 km resolution. Our results show that the learning successfully simulate high center near Tianshan Mountains, exhibiting applicability. Under intermediate (SSP-245) high-emission (SSP-585) future scenarios, increase over next century significantly more pronounced compared mean precipitation. By end 21st century, interannual variability will become even larger SSP-585, indicating an increased risk droughts/floods Asia greenhouse gas emissions. findings provide technical support change impact assessments highlight potential CNN-based downscaling studies.

Язык: Английский

Characterizing Groundwater Level Response to Precipitation at Multiple Timescales in the Lubei Plain Region Using Transfer Function Analysis DOI Creative Commons
Lei Xu, Huili Gong, Beibei Chen

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(2), С. 208 - 208

Опубликована: Янв. 8, 2025

Groundwater is essential for ecosystem stability and climate adaptation, with precipitation variations directly affecting groundwater levels (GWLs). Human activities, particularly exploitation, disrupt the recharge mechanism regional water cycle. In this study, we propose a new research framework: On basis of analyzing spatiotemporal variability characteristics shallow GWL, used transfer function analysis (TFA) to quantify multi-timescale precipitation–GWL response under effects change human activities. addition, evaluated GWL seasonality seasonal while also considering apportionment entropy. We applied framework Lubei Plain (LBP), findings indicated following: (1) Annual in LBP decreased from southeast northwest, July August contributing 51.5% total rainfall; spatial autocorrelation was high influenced by geological conditions cropland irrigation. (2) The coherence between 0.96 high-precipitation areas but only 0.6 overexploited areas, sandy soils enhanced effective recharge, gain 1.65 lag time 2.1 months. (3) Over interannual scales, driven distribution aquifer characteristics, shorter timescales (4 months) were significantly affected longer which nearly 60% than that not overexploited. (4) exploitation reduced irrigation (0.5), approximately 0.5, 0.8 3.5 observed non-irrigation period. This study clarified response, provided perspective on issues, proposed an important short-term regulation sustainable development resources.

Язык: Английский

Процитировано

0

Global drought-flood abrupt alternation: Spatiotemporal patterns, drivers, and projections DOI
Zeqiang Chen, Xinghao Li, Xiang Zhang

и другие.

The Innovation Geoscience, Год журнала: 2025, Номер unknown, С. 100113 - 100113

Опубликована: Янв. 1, 2025

<p>The spatiotemporal patterns and driving factors of drought-flood abrupt alternations (DFAA) have been investigated across several regional watershed scales; however, comprehensive examination at the global scale is lacking. Here, we employed long period change index (LDFAI), derived from an ensemble 40 output datasets eight Coupled Model Intercomparison Project phase 6 (CMIP6) models, to assess patterns, drivers, future projections DFAA. The results indicate that DFAA are influenced by various anthropogenic forcings, greenhouse gas emissions exert most significant impact. changes in intensity (1950–2014), attributed natural forcing (NAT), aerosols (AER), (GHG) forcing, accounted for 5.65%, 14.57%, 33.55%, respectively. rates under shared socioeconomic pathways (SSPs) 2014 <styled-content style-type="number">2100</styled-content> were estimated be 21.73% (SSP1-2.6), 45.37% (SSP2-4.5), 63.1% (SSP3-7.0), 69.51% (SSP5-8.5). This means high radiative rivalry fossil-fuel development models will lead a increase These findings can aid adaptive policies related DFAA.</p>

Язык: Английский

Процитировано

0

Coral-derived seasonal seawater δ18O records from the Northern South China Sea: Hydroclimatic insights into the Medieval Climate Anomaly and Little Ice Age DOI

Huimin Guo,

Xuefei Chen, Yangrui Guo

и другие.

Global and Planetary Change, Год журнала: 2025, Номер unknown, С. 104718 - 104718

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Has global warming already increased precipitation variability and disaster risk in past century? DOI
Huijun Wang

Science China Earth Sciences, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

0

Microphysical Evolution of Heavy Rainfall During a Bow Echo Event in South China: Characteristics and the Mesovortex‐Related Impacts DOI Creative Commons
Qiqing Liu, Ang Zhou, Kun Zhao

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2025, Номер 130(2)

Опубликована: Янв. 27, 2025

Abstract A heavy rainfall (HR) event caused by a bow echo struck South China on 11 April 2019. Two extremely HR periods were identified within this event, and the second period led to severe flooding in Shenzhen city, resulting fatalities. The first was dominated warm‐rain processes, while development of closely related intensification ice‐phase processes. contribution raindrops from melting process played crucial role formation extreme rainfall, which achieved high rain rate (RR) exceeding 120 mm hr −1 . enhancement processes during found be associated with low‐level mesoscale vortex (MV). Due complementary non‐linear dynamical accelerations induced MV, vertical velocity convective system rapidly intensified, leading more upright deeper organization. As result, water vapor supercooled lifted above freezing level, increased presence particles potential melt, subsequently contributing RR. This study investigates microphysical characteristics two that occurred after MV examines key affected partially contributed period.

Язык: Английский

Процитировано

0

Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming DOI Creative Commons
Kalle Nordling, Nora Fahrenbach, B. H. Samset

и другие.

Atmospheric chemistry and physics, Год журнала: 2025, Номер 25(3), С. 1659 - 1684

Опубликована: Фев. 5, 2025

Abstract. As global warming progresses, weather conditions like daily temperature and precipitation are changing due to changes in their means distributions of day-to-day variability. In this study, we show that variability have a stronger influence on the number extreme days than change mean state many locations. We analyze maximum temperatures at four levels under different emission scenarios for Northern Hemisphere (NH) summer (June–August). Our analysis is based initial-condition large-ensemble simulations from three fully coupled Earth system models (MPI-ESM1-2-LR, CanESM5 ACCESS-ESM1-5) contributing Climate Model Inter-comparison Project Phase 6 (CMIP6). also use information Precipitation Driver Response Intercomparison (PDRMIP) discern climate drivers (notably aerosols greenhouse gases). decompose total NH into components (standard deviation skewness). results locations, exerts precipitation. Changes widths shapes especially dominating over Asia, Arctic sub-Saharan Africa. contrast, primarily driven by state. For near future (2020–2040), find reductions aerosol emissions would increase likelihood summertime only Asia. This study emphasizes importance incorporating impact assessments advocates emulator model development should focus improving representation

Язык: Английский

Процитировано

0

Plant–microbiome interactions and their impacts on plant adaptation to climate change DOI Open Access
Qing Zeng, Hang‐Wei Hu, An‐Hui Ge

и другие.

Journal of Integrative Plant Biology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 21, 2025

ABSTRACT Plants have co‐evolved with a wide range of microbial communities over hundreds millions years, this has drastically influenced their adaptation to biotic and abiotic stress. The rapid development multi‐omics approaches greatly improved our understanding the diversity, composition, functions plant microbiomes, but how global climate change affects assembly microbiomes roles in regulating host changing environmental conditions is not fully known. In review, we summarize recent advancements community responses factors such as elevated CO 2 levels, warming, drought. We further delineate research trends hotspots plant–microbiome interactions context change, key mechanisms by which influence climate. propose that future urgently needed unravel impact genes signal molecules modulated on communities, elucidate evolutionary response plant–microbe at level, engineer synthetic mitigate effects fitness.

Язык: Английский

Процитировано

0

Antibiotics in ambient fine particulate matter from two metropolitan cities in China: Characterization, source apportionment, and health risk assessment DOI Creative Commons
Juan Liu, Yao Qiao, Wenyan Yan

и другие.

Environment International, Год журнала: 2025, Номер 197, С. 109340 - 109340

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

0

The Importance of Humidity in the Afternoon Local-Scale Precipitation Intensity over Eastern China and Its Impacts on the Aerosol Effects DOI Creative Commons

Xiaogang Tang,

Qian Chen, Jianping Guo

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 778 - 778

Опубликована: Фев. 23, 2025

Thermally driven local-scale precipitation (LSP) is an important type of summer over China, but the prestorm environmental conditions remain unclear. In order to investigate major factors controlling LSP intensity, meteorological parameters preceding occurrence light and heavy afternoon Eastern China during 2018–2022 are examined using rain gauge, radiosonde sounding, satellite observations. The temperature differences between events relatively small, exhibit larger water vapor mixing ratios (Qv) below a 5 km altitude than LSP. With almost identical vertical distribution, increment in Qv increases relative humidity (RH) lower troposphere. Furthermore, large eddy simulations with spectral bin microphysics performed impacts aerosols on intensity. Increased low-level RH leads mass concentrations graupel at expense cloud droplets due enhanced drop collisions riming ice particles, respectively, thereby reinforcing However, increased aerosol concentration more reduced content, resulting mainly from suppressed collisions. ratio exhibits non-monotonic trend aerosols, mostly contributed by riming. As result, intensity first then decreases both dry humid air. Moreover, lead humidification surrounding air evaporation droplets, particularly under lower-RH conditions. These findings provide understanding effects covariations China.

Язык: Английский

Процитировано

0

Increased Precipitation Variability at Multi-Timescales in China Since the 1960s DOI

X. Mo,

Wenxia Zhang, Tianjun Zhou

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0