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Amplification effect of intra-seasonal variability of soil moisture on heat extremes over Eurasia

Advances in Climate Change Research 2024年第1期15卷 1-8页

作者： Yi-Nuo WANG Zhi-Yan ZUO Liang QIAO Kai-Wen ZHANG Mei-Yu CHANG Dong XIAO Zou-Xing LIN Huan WANG Department of Atmospheric and Oceanic Sciences Institute of Atmospheric SciencesFudan UniversityShanghai 200438China CMA-FDU Joint Laboratory of Marine Meteorology Shanghai 200438China Key Laboratory of Cites Mitigation and Adaptation to Climate Change in Shanghai China Meteorological AdministrationShanghai 200030China Collaborative Innovation Centeron Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 211800China Shanghai Frontiers Science Center of Atmosphere-Ocean Interaction Shanghai 200123China College of Geography and Resources Science Sichuan Normal UniversityChengdu 610101China National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary Shanghai 202183China Chinese Academy of Meteorological Sciences China Meteorological AdministrationBeijing 100081China

Drying soil has been conducive to a high frequency of extreme high-temperature events over many regions worldwide in recent decades.However,changes in the intraseasonal variability of soil moisture can also influence the likelihood of extremely high temperatures.Although previous investigators have examined the association between extremely high temperatures and large-scale atmospheric circulation variability,the role of land-atmosphere coupling dominated by soil moisture variability in extremely high temperatures,particularly over the Eurasian continent,is not well understood.In this study,on the basis of the Land Surface,Snow,and soil moisture Model Intercomparison Project,we found that land-atmosphere feedback amplified the variability of soil moisture in most regions of Eurasia during summer from 1980 to 2014.This amplification of soil moisture variability is closely correlated with more intensive intraseasonal variability of surface air temperature and more frequent occurrences of extreme high-temperature events,particularly in Europe,Siberia,Northeast Asia,and the Indochina Peninsula.This correlation implies that increasing the intraseasonal variability of soil moisture results in a high likelihood of heat extremes during summer in most parts of Eurasia except Asian desert areas.On the intraseasonal timescale,the land-atmosphere coupling increases the variability of surface sensible heat flux and net long-wave radiation heating the atmosphere by intensifying the soil moisture variability,thus amplifying the variability of surface air temperature and enhancing the extreme high-temperature days.This finding demonstrates the importance of changes in intraseasonal soil moisture variability for the increasing likelihood of heat extremes in summer.

关键词： soil moisture Intraseasonal variability Land-atmosphere coupling Heat extremes

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Antecedent Precipitation Index to Estimate soil moisture and Correlate as a Triggering Process in the Occurrence of Landslides

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International Journal of Geosciences 2024年第1期15卷 70-86页

作者： Marcio Augusto Ernesto De Moraes Walter Manoel Mendes Filho Rodolfo Moreda Mendes Cassiano Antonio Bortolozo Daniel Metodiev Marcio Roberto Magalhães De Andrade Harideva Marturano Egas Tatiana Sussel Gonçalves Mendes Luana Albertani Pampuch CEMADEN - National Centre for Monitoring and Early Warnings of Natural Disasters General Coordination of Research and Development S&#227o José dos Campos Brazil Faculty of Science and Technology Goias Federal University Aparecida de Goi&#226nia Brazil Institute of Science and Technology S&#227o Paulo State University (Unesp) S&#227o José dos Campos Brazil

Landslides are highly dangerous phenomena that occur in different parts of the world and pose significant threats to human populations. Intense rainfall events are the main triggering process for landslides in urbanized slope regions, especially those considered high-risk areas. Various other factors contribute to the process;thus, it is essential to analyze the causes of such incidents in all possible ways. soil moisture plays a critical role in the Earth’s surface-atmosphere interaction systems;hence, measurements and their estimations are crucial for understanding all processes involved in the water balance, especially those related to landslides. soil moisture can be estimated from in-situ measurements using different sensors and techniques, satellite remote sensing, hydrological modeling, and indicators to index moisture conditions. Antecedent soil moisture can significantly impact runoff for the same rainfall event in a watershed. The Antecedent Precipitation Index (API) or “retained rainfall,” along with the antecedent moisture condition from the Natural Resources Conservation Service, is generally applied to estimate runoff in watersheds where data is limited or unavailable. This work aims to explore API in estimating soil moisture and establish thresholds based on landslide occurrences. The estimated soil moisture will be compared and calibrated using measurements obtained through multisensor capacitance probes installed in a high-risk area located in the mountainous region of Campos do Jordão municipality, São Paulo, Brazil. The API used in the calculation has been modified, where the recession coefficient depends on air temperature variability as well as the climatological mean temperature, which can be considered as losses in the water balance due to evapotranspiration. Once the API is calibrated, it will be used to extrapolate to the entire watershed and consequently estimate soil moisture. By utilizing recorded mass movements and comparing them with API and soil moisture, it will be possible to dete

关键词： Landslides Antecedent Precipitation Index soil moisture Threshold Water Balance

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soil moisture response to land use and topography across a semi-arid watershed: Implications for vegetation restoration on the Chinese Loess Plateau

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Journal of Mountain Science 2022年第1期19卷 103-120页

作者： XIA Lu BI Ru-tian SONG Xiao-yu HU Wei LYU Chun-juan XI Xu LI Huai-you College of Resources and Environment Shanxi Agricultural UniversityTaigu 030801China State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China Xi'an University of TechnologyXi'an 710048China The New Zealand Institute for Plant and Food Research Limited Private Bag 4704Christchurch 8140New Zealand School of Geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhou 215000China Xifeng Scientific Experiment Station of soil and Water Conservation Yellow River Conservancy CommissionQingyang 745000China

soil moisture is a limiting factor of ecosystem development in the semi-arid Loess Plateau. Characterizing the soil moisture response to its dominant controlling factors, such as land use and topography, and quantifying the soil-water carrying capacity for revegetation is of great significance for vegetation restoration in this region. In this study, soil moisture was monitored to a depth of 2 m in three land use types(native grassland, introduced grassland,and forestland), two landforms(hillslope and gully),and two slope aspects(sunny and shady) in the Nanxiaohegou watershed of the Loess Plateau,Northwest China. The MIKE SHE model was then applied to simulate the soil moisture dynamics under different conditions and determine the optimal plant coverage. Results showed that the average soil moisture was higher in native grassland than in introduced grassland and Platycladus orientalis forestland for a given topographic condition;however,a high soil moisture content was found in Robinia pseudoacacia forestland, with a value that was even higher than the native grassland of a sunny slope. The divergent results in the two forestlands were likely attributed to the differences in plant coverage. Gully regions and shady slopes usually had higher soil moisture, while lower soil moisture was usually distributed on the hillslope and sunny slope.Furthermore, the mean absolute relative error and Nash-Sutcliffe efficiency coefficient of the MIKE SHE model ranged between 2.8%–7.8% and 0.550–0.902,respectively, indicating that the model could effectively simulate the soil moisture dynamics. The optimal plant coverage was thus determined for hillslope P. orientalis by the model, corresponding to a leaf area index(LAI) value of 1.92. Therefore, for sustainable revegetation on the Loess Plateau,selecting suitable land use types(natural vegetation),controlling the planting density/LAI, and selecting proper planting locations(gully and shady slope regions) should be considered by local policy makers to avoid the over-consumption of

关键词： soil moisture MIKE SHE Optimal plant coverage Land use Topography

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In situ observations of soil hydraulic properties and soil moisture in a high,cold mountainous area of the northeastern Qinghai-Tibet Plateau

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Science China Earth Sciences 2023年第8期66卷 1757-1775页

作者： Jie TIAN Baoqing ZHANG Xuejin WANG Chansheng HE Key Laboratory of West China’s Environmental Systems(Ministry of Education) College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Department of Geography Environmentand TourismWestern Michigan UniversityKalamazooMichigan 49009USA Dayekou Hydrological Process Observation and Research Station Lanzhou UniversityLanzhou 730000China

Information on soil hydraulic properties(SHPs)and soil moisture(SM)is essential to understand and model water and energy cycles at terrestrial surfaces.However,information regarding these soil properties in existing datasets is often scarce and inaccurate for high,cold mountainous areas such as the Qinghai-Tibet Plateau(QTP).To help bridge this gap,we have compiled an SHP and SM dataset for the northeastern QTP(a major high,cold mountainous area)using measurements of soil collected at 5 and 25 cm depths from 206 sampling sites,and in-situ observations from 32 SM monitoring stations at 5,15,25,40,and 60 cm depths.We used this dataset to explore large-scale variations(spatial and temporal)in SHPs and SM across the study area.We also evaluated several widely used SHP(soil texture,bulk density,and saturated hydraulic conductivity)and SM datasets derived by remote-sensing methods,reanalysis and data assimilation.Our datasets showed that SM significantly decreases from the southeastern part to the northwestern part in the study area,and SM decreases with increases in depth over 0–70 cm.Moreover,the regional annual SM showed decreased trend from 2014 to 2020 in the study area.Additionally,we detected substantial bias in the currently available large SHP datasets,which do not capture the spatial variability recorded in the in-situ observations.Especially,clay and sand estimates from both HWSD and soilGrid datasets were significantly overestimated,and silt was significantly underestimated within the depth of 0–30 cm in the study area.We also found that SM values derived from remote sensing datasets fitted the in-situ SM observations better than those derived from the reanalysis data(which had higher bias)and data assimilation(which did not capture the temporal variability of SM).Our findings emphasize the unneglectable bias of the widely-used large-scale SHP datasets,especially for the soil texture data.Thus,an urgent need for large-scale field sampling of SHP in mountainous areas.The in-situ observation dataset presented

关键词： Mountainous areas soil hydraulic properties soil moisture soil property datasets soil moisture datasets

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Enhanced Seasonal Predictability of Spring soil moisture over the Indo-China Peninsula for Eastern China Summer Precipitation under Non-ENSO Conditions

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Advances in Atmospheric Sciences 2023年第9期40卷 1632-1648页

作者： Chujie GAO Gen LI College of Oceanography&State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210024China Key Laboratory of Meteorological Disaster Ministry of Education(KLME)&Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China

Seasonal prediction of summer precipitation over eastern China is closely linked to the East Asian monsoon circulation,which is largely affected by the El Niño-Southern Oscillation(ENSO).In this study,results show that spring soil moisture(SM)over the Indo-China peninsula(ICP)could be a reliable seasonal predictor for eastern China summer precipitation under non-ENSO conditions.When springtime SM anomalies are present over the ICP,they trigger a structured response in summertime precipitation over most of eastern China.The resultant south-to-north,tri-polar configuration of precipitation anomalies has a tendency to yield increased(decreased)precipitation in the Yangtze River basin and decreased(increased)in South and North China with a drier(wetter)spring soil condition in the ICP.The analyses show that ENSO exerts a powerful control on the East Asian circulation system in the ENSO-decaying summer.In the case of ENSO forcing,the seasonal predictability of the ICP spring SM for eastern China summer precipitation is suppressed.However,in the absence of the influence of ENSO sea surface temperature anomalies from the preceding winter,the SM anomalies over the ICP induce abnormal local heating and a consequent geopotential height response owing to its sustained control on local temperature,which could,in turn,lead to abnormal eastern China summer precipitation by affecting the East Asian summer monsoon circulation.The present findings provide a better understanding of the complexity of summer climate predictability over eastern China,which is of potential significance for improving the livelihood of the people.

关键词： summer precipitation El Niño-Southern Oscillation soil moisture Indo-China Peninsula eastern China East Asian summer monsoon

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Evaluation of nine major satellite soil moisture products in a typical subtropical monsoon region with complex land surface characteristics

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International soil and Water Conservation Research 2022年第3期10卷 518-529页

作者： Liuyang Li Ya Liu Qing Zhu Kaihua Liao Xiaoming Lai Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing210008China University of Chinese Academy of Sciences Beijing100049China

Assessing accuracies of satellite soil moisture(SM)products in areas with strong anthropogenic activities,abundant precipitation,and dense vegetation is important but limited.In this study,performances of nine satellite SM products,including the European Space Agency Climate Change Initiative(ESA CCI),and the ascending and descending products of the Advanced Microwave Scanning Radiometer 2(AMSR2),Chinese Fengyun-3B(FY3B),Chinese Fengyun-3C(FY3C),and soil moisture Active Passive(SMAP),were evaluated against in-situ SM in the Yangtze River Delta(YRD)from 2015 to 2018.Results showed that the ESA CCI outperformed other products,with averaged correlation coefficient(R)of 0.522,correlation coefficient for SM anomalies(Rano)of 0.419,and unbiased root mean square error(ubRMSE)of 0.040 m^(3)m^(-3),followed by the SMAP_A and SMAP_D.Overestimation was observed in the AMSR2 products(Bias>0.081 m^(3)m^(-3)),while underestimation was found in the FY3B and FY3C products(Bias<-0.104 m^(3)m^(-3)).Moreover,R values decreased with the increase in water area percentage(WAP),land cover heterogeneity(GSI),fractional vegetation cover(FVC),and precipitation(PRE).Threshold values were observed at 3%for the WAP,0.05 for the FVC,and 900 mm yr^(-1)for the PRE,below which sharp declines of accuracy were observed.The WAP,GSI,and FVC were divided into five sub-classes with their values increasing with the sub-class level(I to V).Correlations coefficients between these perturbing factors and R(correlation between satellite and in-situ SM)increased as sub-class levels increased.Under sub-classes I,II,and III,these three factors had limited influences on accuracies of satellite SM products.However,under sub-classes IV and V,significant impacts of these three perturbing factors were observed.Moreover,when sub-classes of the PRE increased from I to V,correlations between Bias and PRE decreased first and then increased.These findings can help to determine suitable satellite SM products in the YRD and similar areas.

关键词： Remote sensing soil moisture soil water content The yangtze river delta

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Impact of Antecedent soil moisture Anomalies over the Indo-China Peninsula on the Super Meiyu Event in 2020

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Journal of Meteorological Research 2023年第2期37卷 234-247页

作者： Yinshuo Dong Haishan Chen Xuan Dong Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science&TechnologyNanjing210044 School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing210044

In the summer of 2020,a super Meiyu event occurred in the Yangtze River basin(YRB),causing enormous economic losses and human casualties.Recent studies have investigated the possible causes of this super Meiyu event from the perspective of anomalous atmospheric circulation activities and sea surface temperature(SST)anomalies;however,the influence of land surface processes has not garnered considerable attention.This study investigates the possible contributions of land surface processes to this extreme event based on observational analysis and numerical simulations,and shows that antecedent soil moisture(SM)anomalies over the Indo-China Peninsula(ICP)may have had a vital influence on the super Meiyu in 2020.Negative SM anomalies in May over the ICP increased the surface temperature and sensible heat flux.The“memory”of soil allowed the anomalies to persist into the Meiyu period.The heating of the lower atmosphere by the surface strengthened the western Pacific subtropical high,which caused an anomalous anticyclone from the ICP to Northwest Pacific and thus enhanced the southwesterly winds and vertical motion over the YRB.Consequently,the water vapor flux and convergence were strengthened.Sensitivity experiments based on the Weather Research and Forecasting(WRF)model further confirmed the results of observational analysis and indicated that the warm air heated by the ICP surface significantly warmed the lower troposphere from the ICP to Northwest Pacific under the influence of the background wind,thus increasing the geopotential height and inducing an anticyclone.The results of the sensitivity experiments showed that the SM anomalies in May over the ICP increased the precipitation by 10.6%from June to July over the YRB.These findings can improve our understanding of the mechanism of the super Meiyu event in 2020 and facilitate the prediction of extreme Meiyu events.

关键词： super Meiyu soil moisture Indo-China Peninsula surface heating

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Enhanced soil moisture improves vegetation growth in an arid grassland of Inner Mongolia Autonomous Region, China

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Journal of Arid Land 2023年第7期15卷 871-885页

作者： ZHANG Hui Giri R KATTEL WANG Guojie CHUAI Xiaowei ZHANG Yuyang MIAO Lijuan School of Geographical Sciences Nanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China Department of Infrastructure Engineering the University of MelbourneMelbourne 3010Australia School of Geography&Ocean Science Nanjing UniversityNanjing 210093China

Climate change impacts on grasslands that cover a quarter of the global land area, have become unprecedented during the 21~(st) century. One of the important ecological realms, arid grasslands of northern China, which occupy more than 70% of the region's land area. However, the impact of climate change on vegetation growth in these arid grasslands is not consistent and lacks corresponding quantitative research. In this study, NDVI(normalized difference vegetation index) and climate factors including temperature, precipitation, solar radiation, soil moisture, and meteorological drought were analyzed to explore the determinants of changes in grassland greenness in Inner Mongolia Autonomous Region(northern China) during 1982–2016. The results showed that grasslands in Inner Mongolia witnessed an obvious trend of seasonal greening during the study period. Two prominent climatic factors,precipitation and soil moisture accounted for approximately 33% and 27% of grassland NDVI trends in the region based on multiple linear regression and boosted regression tree methods. This finding highlights the impact of water constraints to vegetation growth in Inner Mongolia's grasslands. The dominant role of precipitation in regulating grassland NDVI trends in Inner Mongolia significantly weakened from 1982 to 1996, and the role of soil moisture strengthened after 1996. Our findings emphasize the enhanced importance of soil moisture in driving vegetation growth in arid grasslands of Inner Mongolia, which should be thoroughly investigated in the future.

关键词： grassland growth normalized difference vegetation index climate change soil moisture Inner Mongolia

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Effects of soil Hydraulic Properties on soil moisture Estimation

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Journal of Meteorological Research 2023年第1期37卷 58-74页

作者： Xiaolei FU Haishen LYU Zhongbo YU Xiaolei JIANG Yongjian DING Donghai ZHENG Jinbai HUANG Hongyuan FANG College of Hydraulic Science and Engineering Yangzhou UniversityYangzhou 225009 Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources Nanjing University of Information Science&TechnologyNanjing 210044 State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210098 Joint International Research Laboratory of Global Change and Water Cycle Hohai UniversityNanjing 210098 Yangtze Institute for Conservation and Development Hohai UniversityNanjing210098 State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000 Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101

Accurate quantification of soil moisture is essential to understand the land surface processes.soil hydraulic properties influence water transport in soil and thus affect the estimation of soil moisture.However,some soil hydraulic properties are only observable at a few field sites.In this study,the effects of soil hydraulic properties on soil moisture estimation are investigated by using the one-dimensional(1-D)Richards equation at ELBARA,which is part of the Maqu monitoring network over the Tibetan Plateau(TP),China.soil moisture assimilation experiments are then conducted with the unscented weighted ensemble Kalman filter(UWEnKF).The results show that the soil hydraulic properties significantly affect soil moisture simulation.Saturated soil hydraulic conductivity(Ksat)is optimized based on its observations in each soil layer with a genetic algorithm(GA,a widely used optimization method in hydrology),and the 1-D Richards equation performs well using the optimized values.If the range of Ksat for a complete soil profile is known for a particular soil texture(rather than for arbitrary layers within the horizon),optimized Ksat for each soil layer can be obtained by increasing the number of generations in GA,although this increases the computational cost of optimization.UWEnKF performs well with optimized Ksat,and improves the accuracy of soil moisture simulation more than that with calculated Ksat.Sometimes,better soil moisture estimation can be obtained by using optimized saturated volumetric soil moisture content Ksat.In summary,an accurate soil profile can be obtained by using soil moisture assimilation with optimized soil hydraulic properties.

关键词： soil moisture one-dimensional(1-D)Richards equation unscented weighted ensemble Kalman filter(UWEnKF) soil hydraulic properties genetic algorithm

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Experimental and numerical investigation on alternatives to sandy gravel

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Defence Technology（防务技术） 2024年第1期31卷 130-141页

作者： V.Denefeld H.Aurich Fraunhofer Institute for High-Speed Dynamics Ernst-Mach-Institut(EMI)Ernst-Zermelo-Str.479104FreiburgGermany Fraunhofer Institute for High-Speed Dynamics Ernst-Mach-Institut(EMI)Am Christianswuhr 279400KandernGermany

The NATO agreement STANAG 4569 defines the protection levels for the occupants of logistic and light armored vehicle.The Allied Engineering Publication,AEP-55,Volume 2 document outlines the test conditions for underbelly improvised explosive device(IEDs),which must be buried in water-saturated sandy gravel.The use of sandy gravel has some drawbacks,for instance reproducibility,time consumption,and cost.This paper focuses on the investigation of four alternatives to sandy gravel,which could produce similar specific and cumulative impulses:a concrete pot filled with water,a concrete pot filled with quartz sand,a steel pot without filling and a concrete pot filled with glass spheres(diameter 200μm—300μm)and different water contents.The impulses are measured with a ring technology developed at the Fraunhofer EMI.A numerical soil model based on the work of Marrs,2014 and Fi serov a,2006 and considering the soil moisture was used to simulate the experiments with glass spheres at different water contents,showing much better agreement with the experiments than the classical Laine&Sandvik model,even for high saturation levels.These results can be used to create new test conditions at original scale that are more cost-effective,more reproducible and simpler to manage in comparison to the current tests carried out with STANAG sandy gravel.

关键词： Improvised explosive device(IED) Specific impulse Momentum transfer Sandy gravel Glass spheres Numerical model soil moisture

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