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Effects of Cloud Seeding on Precipitation Based on Long-Term Numerical Simulations and Seasonal Case Analyses
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作者 Soo-Hwan MOON Yun-Kyu LIM +4 位作者 Sang-Keun SONG Seoung Soo LEE Chae-Yeon KANG Eun-A KO Ki-Ho CHANG 《Advances in Atmospheric Sciences》 2025年第11期2352-2364,共13页
This study quantitatively analyzes the effects of cloud seeding on precipitation and seasonal variations over the Boryeong Dam region,which has the lowest dam storage in South Korea,based on a one-year numerical simul... This study quantitatively analyzes the effects of cloud seeding on precipitation and seasonal variations over the Boryeong Dam region,which has the lowest dam storage in South Korea,based on a one-year numerical simulation for2021.The Morrison microphysics scheme in the WRF(Weather Research and Forecasting)model was modified to estimate differences in precipitation between simulations with seeding materials(Ag I and Ca Cl2;SEED)and without them(UNSD).The effect of cloud seeding on increasing precipitation or artificial rainfall(AR)between the two simulations was highest in August(average:0.21 mm;31%of the SEED-simulated monthly mean)and lowest in January(average:0.003 mm;30%).This large AR may be attributable to a combination of abundant moisture from the summer monsoon climate and enhanced cloud droplet growth resulting from cloud seeding.In the analysis of seasonal representative cases,cloud seeding demonstrated more pronounced effects in spring and summer,with mean 180-min accumulated AR values of 0.46 and 0.43 mm,respectively,within the study area.In the spring,where an actual flight experiment was conducted,the simulated mean180-min accumulated AR(1.41 mm)in the flight experiment area was close to the observed value(1.61 mm)for the same area.Additionally,cloud seeding promoted the hygroscopic growth of water vapor,thereby reducing the cloud water mixing ratio and increasing the rain water mixing ratio.Seasonal cross-sectional analysis further highlighted the impact of cloud seeding on changes in these two mixing ratios,with the most pronounced effects observed in spring and summer. 展开更多
关键词 cloud seeding modified Morrison scheme artificial rainfall cloud water mixing ratio Boryeong Dam WRF
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Airborne Measurements of the Impact of Ground-based Glaciogenic Cloud Seeding on Orographic Precipitation 被引量:2
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作者 缪群 Bart GEERTS 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2013年第4期1025-1038,共14页
Data from in situ probes and a vertically-pointing ram-wave Doppler radar aboard a research aircraft are used to study the cloud microphysical effect of glaciogenic seeding of cold-season orographic clouds. A previous... Data from in situ probes and a vertically-pointing ram-wave Doppler radar aboard a research aircraft are used to study the cloud microphysical effect of glaciogenic seeding of cold-season orographic clouds. A previous study (Geerts et al., 2010) has shown that radar reflectivity tends to be higher during seeding periods in a shallow layer above the ground downwind of ground-based silver iodide (AgI) nuclei generators. This finding is based on seven flights, conducted over a mountain in Wyoming (the Unites States), each with a no-seeding period followed by a seeding period. In order to assess this impact, geographically fixed flight tracks were flown over a target mountain, both upwind and downwind of the AgI generators. This paper examines data from the same flights for further evidence of the cloud seeding impact. Com- posite radar data show that the low-level reflectivity increase is best defined upwind of the mountain crest and downwind of the point where the cloud base intersects the terrain. The main argument that this increase can be attributed to AgI seeding is that it is confined to a shallow layer near the ground where the flow is turbulent. Yet during two flights when clouds were cumuliform and coherent updrafts to flight level were recorded by the radar, the seeding impact was evident in the flight-level updrafts (about 610 m above the mountain peak) as a significant increase in the ice crystal appears short-lived as it is not apparent just downwind of concentration in all size bins. The seeding effect the crest. 展开更多
关键词 glaciogenic cloud seeding orographic snowfall cloud radar
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Cloud Seedability Study with a Dual-Model System 被引量:2
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作者 JIN Ling LEI Heng-Chi +2 位作者 KONG Fan-You YANG Jie-Fan HU Zhao-Xia 《Atmospheric and Oceanic Science Letters》 CSCD 2013年第4期197-202,共6页
In this research, one-dimensional stratiform a novel dual-model system, cold cloud model (1DSC) coupled to Weather Research and Forecast (WRF) model (WRF-1DSC for short), was employed to investigate the effects ... In this research, one-dimensional stratiform a novel dual-model system, cold cloud model (1DSC) coupled to Weather Research and Forecast (WRF) model (WRF-1DSC for short), was employed to investigate the effects of cloud seeding by silver iodide (AgI) on rain enhancement. Driven by changing environmental conditions extracted from the WRF model, WRF-1DSC could be used to assess the cloud seeding effects quantitatively. The employment of WRF- 1DSC, in place of a one-dimen- sional two-moment cloud seeding model applied to a three-dimensional mesoscale cloud-resolving model, was found to result in massive reduction of computational resources. Numerical experiments with WRF-1DSC were conducted for a real stratiform precipitation event ob- served on 4-5 July 2004, in Northeast China. A good agreement between the observed and modeled cloud system ensured the ability of WRF-1DSC to simulate the observed precipitation process efficiently. Sensitivity tests were performed with different seeding times, locations, and amounts. Experimental results showed that the optimum seeding effect (defined as the percentage of rain enhancement or rain enhancement rate) could be achieved through proper seeding at locations of maximum cloud water content when the updraft was strong. The optimum seeding effect was found to increase by 5.61% when the cloud was seeded at 5.5 km above ground level around 2300 UTC 4 July 2004, with the maximum AgI mixing ratio (As) equaling 15 ng kg-1. On the other hand, for an overseeded cloud, a significant reduction occurred in the accumulated precipitation (-12.42%) as Xs reached 100 ng kg^-1. This study demonstrates the potential of WRF- 1DSC in determining the optimal AgI seeding strategy in practical operations of precipitation enhancement. 展开更多
关键词 dual-model system AGI cloud seeding WRF clmld model
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Evaluation of cloud seeding project in Yazd Province of Iran using historical regression method(case study:Yazd 1 cloud seeding project,1999) 被引量:1
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作者 Mojtaba Zoljoodi Ali Didevarasl 《Natural Science》 2013年第9期1006-1011,共6页
In this research, the result of the cloud seeding over Yazd province during three months of February, March and April in 1999 has been evaluated using the historical regression method. Hereupon, the rain-gages in Yazd... In this research, the result of the cloud seeding over Yazd province during three months of February, March and April in 1999 has been evaluated using the historical regression method. Hereupon, the rain-gages in Yazd province as the target stations and the rain-gages of the neighboring provinces as the control stations have been selected. The rainfall averages for the three aforementioned months through 25 years (1973-1997) in all control and target stations have been calculated. In the next step, the correlations between the rainfalls of control and target stations have been estimated about 75%, which indicates a good consistency in order to use the historical regression. Then, through the obtained liner correlation equation between the control and target stations the precipitation amount for February, March and April in 1999, over the target region (Yazd province) was estimated about 27.57 mm, whiles the observed amount was 34.23 mm. In fact the precipitation increasing around 19.5% over Yazd province confirmed the success of this cloud seeding project. 展开更多
关键词 cloud seeding Project Target and Control Stations Historical Regression Method Yazd Province
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Cloud seeding
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作者 Wyclef Jean 《疯狂英语(新读写)》 2018年第3期14-14,共1页
Cloud seeding is a method of artificially causing clouds to produce precipitation (降水) in the form of rain or snow.Cloud seeding has also been used in attempts to modify the severity of hail slorms and hurricanes.Th... Cloud seeding is a method of artificially causing clouds to produce precipitation (降水) in the form of rain or snow.Cloud seeding has also been used in attempts to modify the severity of hail slorms and hurricanes.The effectiveness of cloud seeding remains controversial,but it continues to be used in some regions to try lo 展开更多
关键词 cloud seeding
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Aircraft Observed Cloud Microphysics Variation Related to a Cloud Trough during Stratiform Cloud Seeding over Central China
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作者 Chong PENG Can SONG +2 位作者 Yimei HUANG Yue TAO Xinxin MA 《Journal of Meteorological Research》 2025年第4期1039-1051,共13页
Previous satellite observations have identified the appearance of“cloud trough”(or“cloud trench”),with cloud tops visually collapsed following airborne cloud seeding operation,demonstrating the effect of weather m... Previous satellite observations have identified the appearance of“cloud trough”(or“cloud trench”),with cloud tops visually collapsed following airborne cloud seeding operation,demonstrating the effect of weather modification.However,refined observations of troughed clouds and associated microphysical processes are still notably scarce,especially those obtained via in-situ aircraft measurements.In this study,variations in cloud microphysics associated with and without troughed clouds along an airborne stratiform cloud seeding path over central China on 15 December 2019 are analyzed and compared based on aircraft measurements,ground-based radar observations,and FY-4A satellite imagery.The results are as follows.(1)The troughed clouds were mainly formed to the northeast of the flight path and were observed only in some parts of the seeded stratiform clouds.The seeding tracks became visible starting from 60 min after seeding and persisted for approximately 3 h,covering a maximum width of 30–40 km in FY-4A imagery.Radar echo enhancements can be observed by a ground-based radar at some parts of the seeding tracks.(2)The troughed clouds were observed only when the ambient air temperature(T)was≤-7℃,a condition favoring high nucleation efficiency of silver iodide(Ag I)aerosols,whereas no cloud troughs formed at higher temperatures.(3)The troughed clouds with strong radar echoes(i.e.,large precipitation)corresponded to regions with high values(>0.1 g m^(-3))of supercooled water content after cloud seeding,which facilitated the growth of precipitation particles.(4)Within the troughed clouds,the cloud optical thickness and cloud top height decreased,while the effective radii of cloud particles increased by nearly 10μm.These results provide valuable guidance for optimizing cold cloud seeding conditions in artificial rainfall enhancement.Meanwhile,the presence of high supercooled water content,particularly the threshold of supercooled water content,is a critical factor for strong precipitation,which necessitates further studies. 展开更多
关键词 cloud trough cloud seeding track cloud microphysics artificial rain enhancement airborne observation
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Macro-and Micro-physical Characteristics of Different Parts of Mixed Convective-stratiform Clouds and Differences in Their Responses to Seeding 被引量:2
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作者 Dejun LI Chuanfeng ZHAO +5 位作者 Peiren LI Cao Liu Dianli GONG Siyao LIU Zhengteng YUAN Yingying CHEN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2022年第12期2040-2055,共16页
This study investigates the cloud macro-and micro-physical characteristics in the convective and stratiform regions and their different responses to the seeding for mixed convective-stratiform clouds that occurred in ... This study investigates the cloud macro-and micro-physical characteristics in the convective and stratiform regions and their different responses to the seeding for mixed convective-stratiform clouds that occurred in Shandong province on 21 May 2018,based on the observations from the aircraft,the Suomi National Polar-Orbiting Partnership(NPP)satellite,and the high-resolution Himawari-8(H8)satellite.The aircraft observations show that convection was deeper and radar echoes were significantly enhanced with higher tops in response to seeding in the convective region.This is linked with the conversion of supercooled liquid droplets to ice crystals with released latent heat,resulting in strengthened updrafts,enhanced radar echoes,higher cloud tops,and more and larger precipitation particles.In contrast,in the stratiform cloud region,after the Silver Iodide(AgI)seeding,the radar echoes become significantly weaker at heights close to the seeding layer,with the echo tops lowered by 1.4–1.7 km.In addition,a hollow structure appears at the height of 6.2–7.8 km with a depth of about 1.6 km and a diameter of about 5.5 km,and features such as icing seeding tracks appear.These suggest that the transformation between droplets and ice particles was accelerated by the seeding in the stratiform part.The NPP and H8 satellites also show that convective activity was stronger in the convective region after seeding;while in the stratiform region,a cloud seeding track with a width of 1–3 km appears 10 km downstream of the seeding layer 15 minutes after the AgI seeding,which moves along the wind direction as width increases. 展开更多
关键词 airborne Ka-band Precipitation Radar(KPR) mixed convective-stratiform clouds convective region stratiform region cloud seeding cloud microphysical properties
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Microphysical Effects of Cloud Seeding in Supercooled Stratiform Clouds Observed from NOAA Satellite 被引量:1
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作者 戴进 余兴 +1 位作者 Daniel ROSENFELD 徐小红 《Acta meteorologica Sinica》 SCIE 2007年第2期224-233,共10页
Based on the satellite retrieval methodology, the spectral characteristics and cloud microphysical properties were analyzed that included brightness temperatures of Channels 4 and 5, and their brightness temperature d... Based on the satellite retrieval methodology, the spectral characteristics and cloud microphysical properties were analyzed that included brightness temperatures of Channels 4 and 5, and their brightness temperature difference (BTD), the particle effective radius of seeded cloud track caused by an operational cloud seeding and the microphysical effects of cloud seeding were revealed by the comparisons of their differences inside and outside the seeded track. The cloud track was actually a cloud channel reaching 1.5-km deep and 14-km wide lasting for more than 80 min. The effective radius of ambient clouds was 10-15 μm, while that within the cloud track ranged from 15 to 26 μm. The ambient clouds were composed of supercooled droplets, and the composition of the cloud within the seeding track was ice. With respect to the rather stable reflectance of two ambient sides around the track, the visible spectral reflectance in the cloud track varied at least 10%, and reached a maximum of 35%, the reflectance of 3.7 μm in the seeded track relatively decreased at least 10%. As cloud seeding advanced, the width and depth were gradually increased. Simultaneously the cloud top temperature within the track became progressively warmer with respect to the ambient clouds, and the maximum temperature differences reached 4.2 and 3.9℃ at the first seeding position for Channels 4 and 5. In addition, the BTD in the track also increased steadily to a maximum of 1.4℃, compared with 0.2-0.4℃ of the ambient clouds. The evidence that the seeded cloud became thinner comes from the visible image showing a channel, the warming of the cloud tops, and the increase of BTD in the seeded track. The seeded cloud became thinner mainly because the cloud top descended and it lost water to precipitation throughout its depth. For this cloud seeding case, the glaciation became apparent at cloud tops about 22 min after seeding. The formation of a cloud track in the supercooled stratiform clouds was mainly because that the seeded cloud volume glaciated into ice hydrometeors that precipitated and so lowered cloud top height. A thin line of new water clouds formed in the middle of the seeded track between 38 and 63 min after seeding, probably as a result of rising motion induced by the released latent heat of freezing. These clouds disappeared in the earlier segments of the seeded track, which suggested that the maturation of the seeding track was associated with its narrowing and eventual dissipation due to expansion of the tops of the ambient clouds from the sides inward. 展开更多
关键词 cloud seeding effect cloud track satellite retrieval microphysical property spectral characteristics
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Idealized numerical simulation experiment of ice seeding in convective clouds using a bin microphysics scheme 被引量:1
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作者 Jiefan Yang Hengchi Lei 《Atmospheric and Oceanic Science Letters》 CSCD 2022年第6期35-41,共7页
A 2D axisymmetric bin model is used to conduct idealized numerical experiments of cloud seeding.The simulations are performed for two clouds that differ in their initial wind shear.Results show that,although cloud see... A 2D axisymmetric bin model is used to conduct idealized numerical experiments of cloud seeding.The simulations are performed for two clouds that differ in their initial wind shear.Results show that,although cloud seeding with an ice concentration of 1000 Lin a regime that has relatively high supercooled liquid water can obtain a positive effect,the rainfall enhancement seems more pronounced when the cloud develops in a wind shear environment.In no-shear environment,the change in the microphysical thermodynamic field after seeding shows that,although more graupel is produced via riming and this can increase the surface rainfall intensity,the larger drag force and cooling of melting graupel is unfavorable for the development of cloud.On the contrary,when the cloud develops in a wind shear environment,since the main downdraft is behind the direction of movement of the cloud,its negative effect on precipitation is much weaker. 展开更多
关键词 cloud seeding Bin model Idealized numerical simulation
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Study of the Influence of Critical Radius on the Cloud Drops Formation in the Seeding Operations
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作者 Rauil Cesar Perez 《Journal of Environmental Science and Engineering(A)》 2012年第5期616-619,共4页
In the seeding operations in order to mitigate the climatic changes or to intervene beneficently on the precipitations process, it is very important to know the roll of the critical radius size of the cloud drops form... In the seeding operations in order to mitigate the climatic changes or to intervene beneficently on the precipitations process, it is very important to know the roll of the critical radius size of the cloud drops formation and its posterior evolution. In the seeding operations programs, the fundament is to determinate the critical radius in order to obtain efficient results. So, it must consider (a) the critical radius size necessary in order to get the better results; (b) the atmospheric conditions that determine it. In order to get a methodology to calculate the critical radius in each atmospheric condition, the present work has been developed. And with them, it can estimate the nuclei size necessary in order to assure good seeding. The authors had obtained approximate values that were good enough to the goals. 展开更多
关键词 Critical radius precipitation modification cloud seeding.
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Model Analysis of Radar Echo Split Observed in an Artificial Cloud Seeding Experiment
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作者 MASAKI Shimada KIKURO Tomine KOJI Nishiyama 《Journal of Meteorological Research》 SCIE CSCD 2016年第3期386-400,共15页
An artificial cloud seeding experiment was performed over the Japan Sea in winter to show how massive seeding could be effective to mitigate heavy snowfall damage.The results showed that 20 min after cloud seeding,a p... An artificial cloud seeding experiment was performed over the Japan Sea in winter to show how massive seeding could be effective to mitigate heavy snowfall damage.The results showed that 20 min after cloud seeding,a portion of the radar echo beneath the seeding track was weakened to divide the radar echo into two parts.In order to analyze the results,a numerical simulation was conducted by using the Weather Research and Forecasting model verion 3.5.1.In this simulation,the seeding effects were represented as phenomena capable of changing rain particles by accreting cloud ice and snow to form graupel particles and by changing cloud liquid water to snow particles.The graupel particles fell rapidly,thus temporarily intensifying the rainfall,which subsequently decreased.Therefore,the weakened radar echo in the field experiment is deemed to have been caused by the increase in rapidly falling graupel particles. 展开更多
关键词 heavy snowfall artificial cloud seeding numerical experiment
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Physical effect of cloud seeding revealed by NOAA satellite imagery 被引量:4
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作者 YUXing DAIJin +5 位作者 LEIHengchi XUXiaohong FANPeng CHENZhengqi DUANChanghui WANGYong 《Chinese Science Bulletin》 SCIE EI CAS 2005年第1期44-51,共8页
From 0615 to 0749 UTC, 14 March 2000, a precipitation enhancement operation with AgI using an air- craft was conducted at the middle part of Shaanxi Province, China. 80 min after cloud seeding (0735 UTC), NOAA-14 sate... From 0615 to 0749 UTC, 14 March 2000, a precipitation enhancement operation with AgI using an air- craft was conducted at the middle part of Shaanxi Province, China. 80 min after cloud seeding (0735 UTC), NOAA-14 satellite data showed a vivid zigzag cloud track on the satel- lite image. Its length is 301 km, and its average and maxi- mum width are 8.3 and 11 km. The cloud track is very simi- lar in shape with, but different in position and width from that of cloud seeding line. In order to determine that the cloud track is indeed caused by cloud seeding, a three-dimensional numerical model of transport and diffu- sion of seeding material is used to simulate the shape of seeding material concentration distribution, the turning points, width and length of seeding line. The simulated re- sults are compared with the features of cloud track at 0735 UTC. Every segment of the cloud track is consistent with the transport and diffusion of every segment of seeding line. The transport position, length, width and the variation trend of seeding line agree with those of cloud track. All suggest that the cloud track is the direct physical reflection of cloud seed- ing effect on the cloud top, which can respond to the trans- port and diffusion of seeding material. For this study case, the main effecting duration for every segment of seeding line is from 20 to 80 min, the time for each segment of seeding line diffusing to the maximum width is from about 50 to 70 min. This time is obtained from the appearing and disap- pearing time, width variation of the cloud track segments and simulated results. Also, the comparisons demonstrate that the numerical model of transport and diffusion can simulate the main characteristics of transport and diffusion of seeding material, and the simulating results are sound and trustworthy. 展开更多
关键词 物理效应 人工降雨 NOAA 人造卫星 云迹 数字模拟
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The Extra-Area Effect in 71 Cloud Seeding Operations during Winters of 2008–14 over Jiangxi Province, East China 被引量:1
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作者 Weijian WANG Zhanyu YAO +5 位作者 Jianping GUO Chao TAN Shuo JIA Wenhui ZHAO Pei ZHANG Liangshu GAO 《Journal of Meteorological Research》 SCIE CSCD 2019年第3期528-539,共12页
Effects of weather modification operations on precipitation in target areas have been widely reported, but little is specifically known about the downwind (extra-area) effects in China. We estimated the extra-area eff... Effects of weather modification operations on precipitation in target areas have been widely reported, but little is specifically known about the downwind (extra-area) effects in China. We estimated the extra-area effect of an operational winter (November-February) aircraft cloud-seeding project in northern Jiangxi Province in eastern China by using a revised historical target/control regression analysis method based on the precipitation data in winter. The results showed that the overall seasonal average rainfall at the downwind stations increased by 21.67%(p=0.0013). This enhancement effect was detected as far as 120 km away from the target area. Physical testing was used to compare the cloud characteristics before and after seeding on 29 November 2014. A posteriori analysis with respect to the characteristics of cloud units derived from operational weather radar data in Jiangxi was performed by tracking cloud units. Radar features in the target unit were enhanced relative to the control unit for more than two hours after the operational cloud seeding, which is indicative of the extra-area seeding effect. The findings could be used to help relieve water shortages in China. 展开更多
关键词 cloud seedING extra-area effects radar derived RAINFALL characteristics
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Artificial Seeding Effects of Convective Clouds on the Opening Day of Beijing 2008 Summer Olympics
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作者 Hongyu Li Yanping Dai +1 位作者 Hua Wang Jingang Cui 《Journal of Geoscience and Environment Protection》 2017年第4期118-138,共21页
Using the radar reflectivity and intensive rainfall data, artificial seeding effects of convective clouds in Beijing on 8 August 2008, the opening day of the 29th Summer Olympics, were analyzed. The results indicate t... Using the radar reflectivity and intensive rainfall data, artificial seeding effects of convective clouds in Beijing on 8 August 2008, the opening day of the 29th Summer Olympics, were analyzed. The results indicate that, cloud seeding at single operation site for convective clouds invading from southwest direction may sharply mitigate the rainfall observed at leeward automatic weather stations within 5 - 10 min, while enhances the precipitation at a later stage about 10 - 20 min. Cloud seeding effects of operation sites Yuegezhuangxi, Changgouzhen, and Zhoukou, which are placed along the main moving routes or localized developing convective clouds in the west and center parts of Fangshan district, are very conspicuous. Combining the operation sites distribution and radar echoes, it is found that the site Changgouzhen, which is very close to the convective core, plays an essential role in suppressing the growth of convective cloud, reducing the coverage area of intense echoes classified as 45 - 60 dBZ, as well as mitigating the precipitation from neighboring automatic weather stations. Based on radar reflectivity and rainfall data, we find that the clouds over lots of operation sites in eastern Fangshan district are not cold enough to favor glaciogenic seeding with silver iodide, meanwhile, there is not too much precipitation observed. 展开更多
关键词 cloud seedING CONVECTIVE cloudS OLYMPICS
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Numerical Simulation of Seeding Extra-Area Effects of Precipitation Using a Three-Dimensional Mesoscale Model 被引量:3
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作者 ZHAO Zhen LEI Heng-Chi 《Atmospheric and Oceanic Science Letters》 2010年第1期19-24,共6页
The Fifth-Generation NCAR/Penn State Mesoscale Model (MM5) has been used to investigate the extra-area effects of silver iodide (AgI) seeding on stratiform clouds performed at the supercooled layer.A bulk two-moment m... The Fifth-Generation NCAR/Penn State Mesoscale Model (MM5) has been used to investigate the extra-area effects of silver iodide (AgI) seeding on stratiform clouds performed at the supercooled layer.A bulk two-moment microphysical scheme and the new software package for silver iodide are incorporated in MM5.Extra conservation equations are applied to trace the seeding agent,which is transported along the flow field and interacts with the supercooled cloud fields.In this study,the model was run using three nested grids,with 3.3 km × 3.3 km horizontal resolution in the finest grid.The model results showed that seeding with AgI at the 5 to 15℃ levels had microphysical effects on the simulated clouds and that the simulation produced a longer-lasting seeding effect because of the transport of the seeding agent by upper-level winds.Most of the AgI particles acted as deposition nuclei,and the deposition nucleation process contributed mostly to additional cloud ice formation in this study.The results showed that more precipitation results from seeded than unseeded case,and the precipitation was redistributed downwind of the target.Augmented precipitation (varying from 5% to 25% downwind) was confined in space to within 250 km of the seeding target and in time to the 3-h period after initial seeding. 展开更多
关键词 cloud seeding extra-area effects silver iodide MM5
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福建古田一次对流云人工增雨催化试验的数值模拟研究
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作者 谢祖欣 林文 +1 位作者 李丹 花少烽 《干旱气象》 2025年第5期770-781,共12页
对流云是南方人工增雨开发利用空中云水资源的重要对象,结构复杂多变;通过数值模式合理评估催化作业过程,进而研究其催化机制,是建立和改进催化作业技术的必要途径,也是评估实际人工增雨作业效果的有效手段。利用耦合了碘化银(AgI)催化... 对流云是南方人工增雨开发利用空中云水资源的重要对象,结构复杂多变;通过数值模式合理评估催化作业过程,进而研究其催化机制,是建立和改进催化作业技术的必要途径,也是评估实际人工增雨作业效果的有效手段。利用耦合了碘化银(AgI)催化的WRF(Weather Research and Forecasting)模式,对2021年5月4日福建古田人工增雨随机化试验个例开展催化模拟,分析AgI核化机制、催化对云系宏微观特征、降水机制的影响以及增雨效果评估。结果显示,AgI播撒后呈带状扩散,催化前期(09:00—11:00)(世界时,下同)地面降水增量缓慢增加;随后(11:00—13:00)降水增幅加大并出现剧烈波动;13:00后降水增量以负值为主。AgI主要核化机制为凝华核化,核化持续约40 min。AgI播撒后主要通过凝华核化使冰晶数浓度大幅增加(增量约3~9个·L^(-1)),增长的冰晶大部分转化为雪晶,再通过雪晶融化增加云中雨滴质量浓度。此次过程催化影响时间持续约4 h,催化部位绝对增雨量约-0.78~1.24 mm,增雨率约-8.3%~12.1%,总降水增量为4.64×10^(5) t,增雨效果显著。 展开更多
关键词 中尺度冷云催化模式 人工增雨 效果评估 碘化银催化
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一次对流云火箭防雹作业多源雷达探测效果分析 被引量:1
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作者 冯亮亮 刘雨润 +1 位作者 张婧琦 方夏馨 《气象科技》 2025年第1期96-111,共16页
本文应用昆明市2023年8月10日人工防雹多源雷达探测资料,从雷达回波形态、雷达参量时序演变、理论用弹量估算等方面分析了火箭弹体源和线源播撒催化效果差异。结果表明:C波段雷达显示混合播撒后作业区雷达反射率因子减小、回波顶高下降... 本文应用昆明市2023年8月10日人工防雹多源雷达探测资料,从雷达回波形态、雷达参量时序演变、理论用弹量估算等方面分析了火箭弹体源和线源播撒催化效果差异。结果表明:C波段雷达显示混合播撒后作业区雷达反射率因子减小、回波顶高下降,而体源播撒表现为强回波衰减特点。X波段双偏振雷达显示作业区回波顶高发展与垂直液态水含量波动一致,可用于作业时机选择;火箭弹体源播撒作业高度较低,但爆炸产生动力效果有利于催化剂扩散过程,短期内最大回波强度、强中心高度均下降,双偏振量显示差分反射率因子降低,差分相位移率低值区扩散;火箭弹线源播撒作业高度可达零度层,较长催化过程有助于回波顶高和垂直液态水含量持续下降,零滞后相关系数增大至0.9以上。单一线源或体源播撒效果差,二者相结合能够加强催化效果。理论计算表明,在不考虑云体发展状况、用弹量等因素前提下,核化率是影响火箭弹理论用弹量的关键,BL-1A型线源播撒火箭弹较JFJ-1A体源播撒火箭弹更容易达到过量催化,实际作业中单一体源播撒可能会因炸点偏离、作业高度有限影响催化效果。 展开更多
关键词 碘化银火箭弹 对流云消减 播撒方式 双偏振雷达
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内蒙古中部地区层状云微物理特征及可播度分析 被引量:1
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作者 许志丽 徐亮亮 +3 位作者 毕力格 史金丽 辛悦 刘沫彤 《干旱气象》 2025年第1期126-132,共7页
对层状云降水云系开展云微物理特征及可播性实时识别研究,有利于提高对层状云降水云系增雨催化潜力的认识,为人工增雨作业实时识别提供技术支撑。利用内蒙古中部地区2018—2019年8架次层状云飞机作业机载探测资料,研究该地区层状云微物... 对层状云降水云系开展云微物理特征及可播性实时识别研究,有利于提高对层状云降水云系增雨催化潜力的认识,为人工增雨作业实时识别提供技术支撑。利用内蒙古中部地区2018—2019年8架次层状云飞机作业机载探测资料,研究该地区层状云微物理特征及人工增雨可播度特征。结果表明:层状云中云水、液态水、过冷水出现频率分别为59.97%、82.99%、70.84%;液态水含量主要集中在0.001~0.100 g·m^(-3),过冷水含量主要分布在0.010~0.100 g·m^(-3),具有较好的引晶催化潜力。大云粒子数浓度平均为8个·cm^(-3),数浓度大于20个·cm^(-3)的占比14.10%;小云粒子数浓度平均为20个·cm^(-3),数浓度大于20个·cm^(-3)的占比28.54%。云粒子数浓度总体上较小,70%以上的云粒子位于负温区。层状云中小云粒子数浓度达到15个·cm^(-3)时,云区具有可播度;当可播云区中大云粒子数浓度小于10个·cm^(-3)时,云区具有强可播度。 展开更多
关键词 层状云 人工增雨 云微物理特征 可播度
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A Methodological Study on Using Weather Research and Forecasting(WRF) Model Outputs to Drive a One-Dimensional Cloud Model 被引量:1
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作者 JIN Ling Fanyou KONG +1 位作者 LEI Hengchi HU Zhaoxia 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2014年第1期230-240,共11页
A new method for driving a One-Dimensional Stratiform Cold (1DSC) cloud model with Weather Research and Fore casting (WRF) model outputs was developed by conducting numerical experiments for a typical large-scale ... A new method for driving a One-Dimensional Stratiform Cold (1DSC) cloud model with Weather Research and Fore casting (WRF) model outputs was developed by conducting numerical experiments for a typical large-scale stratiform rainfall event that took place on 4-5 July 2004 in Changchun, China. Sensitivity test results suggested that, with hydrometeor pro files extracted from the WRF outputs as the initial input, and with continuous updating of soundings and vertical velocities (including downdraft) derived from the WRF model, the new WRF-driven 1DSC modeling system (WRF-1DSC) was able to successfully reproduce both the generation and dissipation processes of the precipitation event. The simulated rainfall intensity showed a time-lag behind that observed, which could have been caused by simulation errors of soundings, vertical velocities and hydrometeor profiles in the WRF output. Taking into consideration the simulated and observed movement path of the precipitation system, a nearby grid point was found to possess more accurate environmental fields in terms of their similarity to those observed in Changchun Station. Using profiles from this nearby grid point, WRF-1DSC was able to repro duce a realistic precipitation pattern. This study demonstrates that 1D cloud-seeding models do indeed have the potential to predict realistic precipitation patterns when properly driven by accurate atmospheric profiles derived from a regional short range forecasting system, This opens a novel and important approach to developing an ensemble-based rain enhancement prediction and operation system under a probabilistic framework concept. 展开更多
关键词 cloud-seeding model Weather Research and Forecasting (WRF) model rain enhancement
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Preliminary Results of the Ground-Based Orographic Snow Enhancement Experiment for the Easterly Cold Fog (Cloud) at Daegwallyeong during the 2006 Winter 被引量:1
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作者 Myoung-Joo LEE Ki-Ho CHANG +8 位作者 Gyun-Myoung PARK Jin-Yim JEONG Ha-Young YANG Ki-Deok JEONG Joo-Wan CHA Sung-Soo YUM Jae-Cheol NAM Kyungsik KIM Byung-Chul CHOI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2009年第2期222-228,共7页
The snow enhancement experiments, carried out by injecting AgI and water vapor into orographically enhanced clouds (fog), have been conducted to confirm Li and Pitter's forced condensation process in a natural situ... The snow enhancement experiments, carried out by injecting AgI and water vapor into orographically enhanced clouds (fog), have been conducted to confirm Li and Pitter's forced condensation process in a natural situation. Nine ground-based experiments have been conducted at Daegwallyeong in the Taebaek Mountains for the easterly foggy days from January-February 2006. We then obtained the optimized conditions for the Daegwallyeong region as follows: the small seeding rate (1.04 g min-1) of AgI for the easterly cold fog with the high humidity of Gangneung. Additional experiments are needed to statistically estimate the snowfall increment caused by the small AgI seeding into the orographical fog (cloud) over the Taeback Mountains. 展开更多
关键词 snow enhancement experiment cold cloud modification forced condensation AgI seeding orographical supersaturation
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