TY - JOUR AU - Benjamini, Yoav AU - Givati, Amir AU - Khain, Pavel AU - Levi, Yoav AU - Rosenfeld, Daniel AU - Shamir, Uri AU - Siegel, Ayal AU - Zipori, Assaf AU - Ziv, Baruch AU - Steinberg, David M TI - The Israel 4 Cloud Seeding Experiment: Primary Results JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 62 PY - 2023 SP - 317 SN - 1558-8424 DO - 10.1175/JAMC-D-22-0077.1 UR - https://m2.mtmt.hu/api/publication/33735734 ID - 33735734 N1 - Funding Agency and Grant Number: Israel Water Authority [4500963137] Funding text: We are grateful to Nati Glick, who headed the Branch for Rainfall Enhancement for part of Is- rael 4, to Rotem Rozenblum for her assistance with the data analysis, and to Tony Yovel for his assistance in preparing the map of the study region. The work of Ms. Rozenblum was supported by research grant 4500963137 from the Israel Water Authority to D. M. Steinberg and Y. Benjamini. LA - English DB - MTMT ER - TY - JOUR AU - Lin, Kai-I AU - Chung, Kao-Shen AU - Wang, Sheng-Hsiang AU - Chen, Li-Hsin AU - Liou, Yu-Chieng AU - Lin, Pay-Liam AU - Chang, Wei-Yu AU - Chiu, Hsien-Jung AU - Chang, Yi-Hui TI - Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study JF - ATMOSPHERIC CHEMISTRY AND PHYSICS J2 - ATMOS CHEM PHYS VL - 23 PY - 2023 IS - 18 SP - 10423 EP - 10438 PG - 16 SN - 1680-7316 DO - 10.5194/acp-23-10423-2023 UR - https://m2.mtmt.hu/api/publication/34280749 ID - 34280749 AB - Abstract. To evaluate the hygroscopic cloud seeding in reality,this study develops a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model, WDM6-NCU (WDM6 modified by National Central University),which involves 43 bins of seeded cloud condensation nuclei (CCN) in the WDM6 bulk method scheme. This scheme can describe the size distribution of seeded CCN and explain the process of the CCN imbedding and cloud and raindrop formation in detail. Furthermore, based on the observational CCN size distribution applied in the modelling, a series of tests on cloud seeding were conducted during the seeding periods of 21–22 October 2020 with stratocumulus clouds. The model simulation results reveal that seeding in in-cloud regions with an appropriate CCN size distribution can yield greater rainfall and that spreading the seeding agents over an area of 40–60 km2 is the most efficient strategy to create a sufficient precipitationrate. With regard to the microphysical processes, the main process thatcauses the enhancement of precipitation is the strengthening of theaccretion process of raindrops. In addition, hygroscopic particles largerthan 0.4 µm primarily contribute to cloud-seeding effects. The study results could be used as references for model development and warm-cloud-seeding operations. LA - English DB - MTMT ER - TY - JOUR AU - Mazzetti, Thomas AU - Geerts, Bart AU - Xue, Lulin TI - A Numerical Evaluation of the Impact of Operational Ground-Based Glaciogenic Cloud Seeding on Precipitation Over the Wind River Range, Wyoming JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - in press PY - 2023 SN - 1558-8424 DO - 10.1175/JAMC-D-22-0132.1 UR - https://m2.mtmt.hu/api/publication/33735731 ID - 33735731 N1 - Funding Agency and Grant Number: Wyoming Water Development Commission; U.S. Geological Survey, under the auspices of the University of Wyoming Water Research Program; University of Wyoming; National Science Foundation; NCAR Wyoming Supercomputer Center [WYOM0078] Funding text: This work was funded by the Wyoming Water Development Commission and the U.S. Geological Survey, under the auspices of the University of Wyoming Water Research Program, as well as the University of Wyoming. This paper does not constitute the opinions of the State of Wyoming, the Wyoming Water Development Commission, or the Wyoming Water Development Office. The National Center for Atmospheric Research is sponsored by the National Science Foundation. The numerical simulations were con-ducted on Cheyenne at the NCAR Wyoming Supercomputer Center using Grant WYOM0078. We acknowledge Weather Modification, Inc., for providing their records of the WRR seeding operations and Courtney Weeks for providing the quality-controlled and corrected radiometer LWP data. This work benefited from insights and comments from Sarah Tessendorf, Roy Rasmussen, Jeffrey French, Jefferson Snider, and two anonymous reviewers. LA - English DB - MTMT ER - TY - JOUR AU - Moradi, Sh. AU - Javanmard, S. AU - Ghader, S. AU - Azadi, M. AU - Gharaylou, M. TI - Precipitation changes due to cloud seeding operations by WRF meso-scale model JF - JOURNAL OF THE EARTH AND SPACE PHYSICS J2 - J EARTH SPACE PHYS VL - 49 PY - 2023 IS - 1 SP - 171 EP - 178 PG - 8 SN - 0378-1046 DO - 10.22059/jesphys.2022.339015.1007406 UR - https://m2.mtmt.hu/api/publication/34279347 ID - 34279347 LA - English DB - MTMT ER - TY - JOUR AU - Ren, Jing AU - Zhang, Wenyu AU - Kou, Menggang AU - Ma, Yongjing AU - Zhang, Xinyu TI - A Numerical Study of Critical Variables on Artificial Cold Cloud Precipitation Enhancement in the Qilian Mountains, China JF - ATMOSPHERE J2 - ATMOSPHERE-BASEL VL - 14 PY - 2023 IS - 7 PG - 17 SN - 2073-4433 DO - 10.3390/atmos14071086 UR - https://m2.mtmt.hu/api/publication/34106371 ID - 34106371 N1 - Funding Agency and Grant Number: Second Tibetan Plateau Scientific Expedition and Research (STEP) Program of the Chinese Academy of Sciences [2019QZKK0104]; Research fund for Weather modification ability construction project of Northwest China [ZQCR18208] Funding text: This research was funded by the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program of the Chinese Academy of Sciences grant number 2019QZKK0104, and the Research fund for Weather modification ability construction project of Northwest China grant number ZQCR18208. AB - In this study, a mesoscale Weather Research and Forecast (WRF) model coupled with an AgI (silver iodide) cold cloud catalytic module were used to explore the potential impact of the catalytic position and rate in the catalytic module based on a ground rain enhancement operation in the Qilian Mountains, on 16 August 2020. Results show that the simulated precipitation, liquid water content (LWC), and water vapor content (PWV) are in good agreement with the observations, demonstrating that the WRF model using the coupled AgI cloud-seeding scheme is well-applicable to the precipitation simulation of the Qilian Mountains. It is also observed that there are some differences in the catalytic effect of catalysis at different cloud temperatures. The precipitation enhancement effect is the most favorable in the fifth layer of 15 km, followed by that in the fourth layer of 12 km and the sixth layer of 18 km. Considering the flight cost and catalytic efficiency, the fourth layer is highly recommended for seeding. Furthermore, the AgI seeding rate also plays a crucial impact on ground precipitation. In the case of a seeding rate of about 1.2 g & BULL;s(-1), the precipitation enhancement effect tends to be stable, and the percentage of the precipitation increase reaches up to 10.4%. While in the case of a seeding rate of about 1.5 g & BULL;s(-1), the percentage of ground precipitation increase is 10%, which is 0.4% lower than that of 1.2 g & BULL;s(-1). In summary, the introduction of a AgI catalyst with a seeding rate of 1.2 g & BULL;s(-1) can significantly increase the ground precipitation at a height of 12 km and a temperature of -3 & DEG;C in the Qilian Mountains. LA - English DB - MTMT ER - TY - JOUR AU - Pourghasemi, M. A. AU - Memarian, M. H. AU - Zare, Azimeh TI - Assessment of Possible Precipitation Enhancement by Glaciogenic Cloud Seeding Using WRF: A Case Study JF - RUSSIAN METEOROLOGY AND HYDROLOGY J2 - RUSS METEOROL HYDRO+ VL - 47 PY - 2022 IS - 7 SP - 553 EP - 560 PG - 8 SN - 1068-3739 DO - 10.3103/S106837392207010X UR - https://m2.mtmt.hu/api/publication/33338770 ID - 33338770 AB - The effects of airborne silver iodide (AgI) glaciogenic cloud seeding on the ice nucleation process and enhancement of orographic precipitation is evaluated using the aerosol-aware Thompson-Eidhammer microphysics scheme. The scheme is coupled to the GOCART aerosol model and implemented into the WRF model. Applying the scheme, which takes into account the aerosols serving as ice nuclei, enables the WRF to explicitly predict the effects of changes in aerosol number concentration on the precipitation formation. The selected seeding project was conducted in March 2015 over the Shirkouh Mountain in the center of Iran. The results show that the increased number of aerosols increased the updraft and downdraft, as well as the clouded volume. Therefore, depending on the relative humidity in the upper levels the airborne cloud-seeding operation is simulated to increase or decrease surface precipitation. Simulation data show that the 24-hour accumulated precipitation increased to 9.52% downwind of where AgI particles were released. However, the simulated seeding outcome for the southern regions is a 4.1% decrease in precipitation. LA - English DB - MTMT ER - TY - JOUR AU - Wang, Tiantian AU - Zhu, Jiangshan AU - Lei, Hengchi AU - Shi, Yueqin AU - Guo, Jiaxu AU - Gao, Zhibo TI - Comparison of microphysics parameterization schemes on cloud macrophysics forecasts for mixed convective-stratiform cloud events JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 277 PY - 2022 PG - 18 SN - 0169-8095 DO - 10.1016/j.atmosres.2022.106284 UR - https://m2.mtmt.hu/api/publication/33338772 ID - 33338772 N1 - Funding Agency and Grant Number: National Key Research and Develop-ment Program of China [2018YFC1507901]; National Natural Science Foundation of China [41875136, 42075192]; Science and Technology Program of Gansu [20JR5RA111]; Open Project of the Key Laboratory for Cloud Physics of China Meteorological Administration [2019Z01608] Funding text: Acknowledgments This study is supported by the National Key Research and Develop-ment Program of China (Grant No. 2018YFC1507901) , the National Natural Science Foundation of China (Grant No.41875136 and No.42075192) , the Science and Technology Program of Gansu (Grant No.20JR5RA111) and the Open Project of the Key Laboratory for Cloud Physics of China Meteorological Administration (Grant No. 2019Z01608) . AB - In this study, the performances and uncertainties of cloud microphysics parameterization (MP) schemes for simulating cloud macrophysics associated with mixed convective-stratiform cloud (MCSC) events are investigated. MCSC system is the primary object of cloud seeding for the purpose of rain enhancement in North China. Understanding the forecast uncertainties of cloud macrophysics, such as cloud top temperature (CTT), cloud base height (CBH), and cloud optical thickness (COT), is of great significance for cloud seeding operations. Simulations of cloud macrophysics are verified using cloud data retrieved from the Feng-Yun-2F geostationary meteorological satellite, radiosondes and Moderate Resolution Imaging Spectroradiometer (MODIS) products. The performances of several MP schemes to accurately simulate cloud macrophysics within ensemble forecasts is explored using both grid-wise and object-based metrics. Large differences are found among schemes in simulated cloud macrophysics compared with similar performances in simulated precipitation. In most cases, the ensemble mean simulates more realistically than each single scheme. The ensemble spread varies somewhat according to the simulated variables. For CBH, the ensemble shows adequate ensemble spread, while relative underdispersion occurs for CTT and COT. Detailed COT comparisons of reveal that COT bias mainly comes from the contribution of cloud droplets and snow. The causes of COT bias are further investigated by a detailed comparison of the cloud water path (CWP) and cloud effective radius (EFFR). The study establishes a baseline for ensemble forecasting of cloud macrophysics. LA - English DB - MTMT ER - TY - JOUR AU - Xue, Lulin AU - Weeks, Courtney AU - Chen, Sisi AU - Tessendorf, Sarah A AU - Rasmussen, Roy M AU - Ikeda, Kyoko AU - Kosovic, Branko AU - Behringer, Dalton AU - French, Jeffery R AU - Friedrich, Katja TI - Comparison between observed and simulated AgI seeding impacts in a well-observed case from the SNOWIE field program JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 61 PY - 2022 IS - 4 SP - 345 EP - 367 PG - 23 SN - 1558-8424 DO - 10.1175/JAMC-D-21-0103.1 UR - https://m2.mtmt.hu/api/publication/32873430 ID - 32873430 N1 - Funding Agency and Grant Number: Idaho Power Company; National Science Foundation (NSF) [AGS-1547101, AGS-1546963, AGS-1546939, AGS-2016106, AGS-2015829, AGS-2016077]; NSF [AGS-1441831]; NSF Funding text: This research was supported by Idaho Power Company and National Science Foundation (NSF) Grants AGS-1547101, AGS-1546963, AGS-1546939, AGS-2016106, AGS-2015829, and AGS-2016077. Funding for the UWKA and WCR during SNOWIE was provided through the NSF Award AGS-1441831. Funding for CSWR-DOWs was provided through NSF AGS-1441831. The authors thank Robert Capella for his assistance in producing Figs. 2 and 3. The helpful suggestions from Jimy Dudhia for addressing review comments are greatly appreciated. The National Center for Atmospheric Research is sponsored by NSF. LA - English DB - MTMT ER - TY - JOUR AU - Geresdi, István AU - Xue, Lulin AU - Chen, Sisi AU - Wehbe, Youssef AU - Bruintjes, Roelof AU - Lee, Jared A. AU - Rasmussen, Roy M. AU - Grabowski, Wojciech W. AU - Sarkadi, Noémi AU - Tessendorf, Sarah A. TI - Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model JF - ATMOSPHERIC CHEMISTRY AND PHYSICS J2 - ATMOS CHEM PHYS VL - 21 PY - 2021 IS - 21 SP - 16143 EP - 16159 PG - 17 SN - 1680-7316 DO - 10.5194/acp-21-16143-2021 UR - https://m2.mtmt.hu/api/publication/32507163 ID - 32507163 N1 - Funding Agency and Grant Number: National Center of Meteorology, Abu Dhabi, UAE (UAE Research Program for Rain Enhancement Science); National Science Foundation [1852977]; Hungarian Scientific Research Fund Funding text: This research has been supported by the National Center of Meteorology, Abu Dhabi, UAE (UAE Research Program for Rain Enhancement Science); the National Science Foundation (grant no. 1852977); and the Hungarian Scientific Research Fund (Development and application of novel numerical model to investigate the precipitation formation in mixed phase clouds). AB - A hybrid bin microphysical scheme is developed in a parcel model framework to study how natural aerosol particles and different types of hygroscopic seeding materials affect the precipitation formation. A novel parameter is introduced to describe the impact of different seeding particles on the evolution of the drop size distribution. The results of more than 100 numerical experiments using the hybrid bin parcel model show that (a) the Ostwald-ripening effect has a substantial contribution to the broadening of the drop size distribution near the cloud base. The efficiency of this effect increases as the updraft velocity decreases. (b) The efficiency of hygroscopic seeding is significant only if the size of the seeding particles is in the coarse particle size range. The presence of the water-soluble background coarse particles reduces the efficiency of the seeding, (c) The efficient broadening of the size distribution due to the seeding depends on the width of the size distribution of water drops in the control cases, but the relation is not as straightforward as in the case of the glaciogenic seeding. LA - English DB - MTMT ER - TY - JOUR AU - Mazzetti, Thomas O. AU - Geerts, Bart AU - Xue, Lulin AU - Tessendorf, Sarah AU - Weeks, Courtney AU - Wang, Yonggang TI - Potential for Ground-Based Glaciogenic Cloud Seeding over Mountains in the Interior Western United States and Anticipated Changes in a Warmer Climate JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 60 PY - 2021 IS - 9 SP - 1245 EP - 1263 PG - 19 SN - 1558-8424 DO - 10.1175/JAMC-D-20-0288.1 UR - https://m2.mtmt.hu/api/publication/33338773 ID - 33338773 N1 - Funding Agency and Grant Number: Wyoming Water Development Commission; U.S. Geological Survey under University of WyomingWater Research Program; National Science Foundation; NCAR Wyoming Supercomputer Center [WYOM0070] Funding text: This work was funded by the Wyoming Water Development Commission and the U.S. Geological Survey, under the auspices of the University of WyomingWater Research Program. The National Center for Atmospheric Research (NCAR) is sponsored by the National Science Foundation. The numerical simulations were conducted on Yellowstone and analysis was done on Cheyenne at the NCAR Wyoming Supercomputer Center using Grant WYOM0070. AB - Glaciogenic cloud seeding has long been practiced as a way to increase water availability in arid regions, such as the interior western United States. Many seeding programs in this region target cold-season orographic clouds with ground-based silver iodide generators. Here, the "seedability'' (defined as the fraction of time that conditions are suitable for ground-based seeding) is evaluated in this region from 10 years of hourly output from a regional climate model with a horizontal resolution of 4 km. Seedability criteria are based on temperature, presence of supercooled liquid water, and Froude number, which is computed here as a continuous field relative to the local terrain. The model's supercooled liquid water compares reasonably well to microwave radiometer observations. Seedability peaks at 20%-30% for many mountain ranges in the cold season, with the best locations just upwind of crests, over the highest terrain in Colorado and Wyoming, as well as over ranges in the northwest interior. Mountains farther south are less frequently seedable, because of warmer conditions, but when they are, cloud supercooled liquid water content tends to be relatively high. This analysis is extended into a future climate, anticipated for later this century, with a mean temperature 2.0K warmer than the historical climate. Seedability generally will be lower in this future warmer climate, especially in the most seedable areas, but, when seedable, clouds tend to contain slightly more supercooled liquid water. LA - English DB - MTMT ER - TY - JOUR AU - Geresdi, István AU - Xue, L. AU - Sarkadi, Noémi AU - Rasmussen, R. TI - Evaluation of orographic cloud seeding using a bin microphysics scheme: Three-dimensional simulation of real cases JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 59 PY - 2020 IS - 9 SP - 1537 EP - 1555 PG - 19 SN - 1558-8424 DO - 10.1175/JAMC-D-19-0278.1 UR - https://m2.mtmt.hu/api/publication/31625635 ID - 31625635 N1 - Funding Agency and Grant Number: Idaho Power Company; Hungarian Scientific Research Fund (Development and Application of Novel NumericalModel); National Center of Meteorology, Abu Dhabi, UAE, under the UAE Research Program for Rain Enhancement Science; National Science Foundation Funding text: This study was supported by the Idaho Power Company. The contribution to this research by I. Geresdi and N. Sarkadi was supported by the Hungarian Scientific Research Fund (Development and Application of Novel NumericalModel to Investigate the Precipitation Formation in Mixed Phase Clouds). Part of this work is supported by the National Center of Meteorology, Abu Dhabi, UAE, under the UAE Research Program for Rain Enhancement Science. The National Center for Atmospheric Research is sponsored by the National Science Foundation. LA - English DB - MTMT ER - TY - JOUR AU - Curic, Mladjen AU - Lompar, Milos AU - Romanic, Djordje TI - Implementation of a novel seeding material (NaCl/TiO2) for precipitation enhancement in WRF: Description of the model and spatiotemporal window tests JF - ATMOSPHERIC RESEARCH J2 - ATMOS RES VL - 230 PY - 2019 PG - 12 SN - 0169-8095 DO - 10.1016/j.atmosres.2019.104638 UR - https://m2.mtmt.hu/api/publication/31566033 ID - 31566033 N1 - Funding Agency and Grant Number: National Center of Meteorology, Abu Dhabi, the United Arab Emirates (UAE), under the UAE Research Program for Rain Enhancement Funding text: This research is based on the work supported by the National Center of Meteorology, Abu Dhabi, the United Arab Emirates (UAE), under the UAE Research Program for Rain Enhancement. We thank two anonymous reviewers for providing a number of useful suggestions that greatly improved the quality of this article. AB - Precipitation enhancement might play a key role in combating constantly increasing frequency of occurrence of draughts in many areas around the globe. This article is a numerical study of the performances of two precipitation enhancers using seven different spatiotemporal windows. The investigated artificial aerosols are the pure NaCl-being a well-researched seeding material-and the core/shell NaCl/TiO2 (abbreviated as CSNT)-being a novel seeding material very recently developed. The activation properties of CSNT are for the first time incorporated into the Weather Research and Forecasting (WRF) model. The performances of two seeding materials, as well as their benchmark against the control case without seeding are investigated in terms of the accumulated surface precipitation and cloud microphysics processes. This study shows multiple advantages of the new seeding agent in terms of both the total accumulated surface precipitation and the increased precipitation area. The best location for release of CSNT in terms of the highest increase of precipitation amount is when both cyclonic and anticyclonic cells are seeded. The largest increase of precipitation area is found when the seeding takes place in front of the cloud and below the cloud base. In this case, the seeded cloud with CSNT releases precipitation over approximately 2 times larger area that the unseeded cloud. The conducted numerical experiments showed that the introduction of CSNT into the cloud environment significantly increases the number concentration of cloud droplets and ice. LA - English DB - MTMT ER - TY - JOUR AU - Flossmann, Andrea I. AU - Manton, Michael AU - Abshaev, Ali AU - Bruintjes, Roelof AU - Murakami, Masataka AU - Prabhakaran, Thara AU - Yao, Zhanyu TI - Review of Advances in Precipitation Enhancement Research JF - BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY J2 - B AM METEOROL SOC VL - 100 PY - 2019 IS - 8 SP - 1463 EP - 1480 PG - 16 SN - 0003-0007 DO - 10.1175/BAMS-D-18-0160.1 UR - https://m2.mtmt.hu/api/publication/31094106 ID - 31094106 N1 - Funding Agency and Grant Number: National Center of Meteorology, Abu Dhabi, United Arab Emirates, under the UAE Research Program for Rain Enhancement Science Funding text: The WMO Expert Team on Weather Modification acknowledges the support provided by the National Center of Meteorology, Abu Dhabi, United Arab Emirates, under the UAE Research Program for Rain Enhancement Science. AB - This paper provides a summary of the assessment report of the World Meteorological Organization (WMO) Expert Team on Weather Modification that discusses recent progress on precipitation enhancement research. The progress has been underpinned by advances in our understanding of cloud processes and interactions between clouds and their environment, which, in turn, have been enabled by substantial developments in technical capabilities to both observe and simulate clouds from the microphysical to the mesoscale. We focus on the two cloud types most commonly seeded in the past: winter orographic cloud systems and convective cloud systems. A key issue for cloud seeding is the extension from cloud-scale research to water catchment-scale impacts on precipitation on the ground. Consequently, the requirements for the design, implementation, and evaluation of a catchment-scale precipitation enhancement campaign are discussed. The paper concludes by indicating the most important gaps in our knowledge. Some recommendations regarding the most urgent research topics are given to stimulate further research. LA - English DB - MTMT ER - TY - JOUR AU - Lovas, Róbert AU - Kardos, Péter AU - Gyöngyösi, András Zénó AU - Bottyán, Zsolt TI - Weather model fine-tuning with software container-based simulation platform JF - IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE J2 - IDŐJÁRÁS VL - 123 PY - 2019 IS - 2 SP - 165 EP - 181 PG - 17 SN - 0324-6329 DO - 10.28974/idojaras.2019.2.3 UR - https://m2.mtmt.hu/api/publication/30308651 ID - 30308651 N1 - Export Date: 14 August 2020 Correspondence Address: Gyöngyösi, A.Z.; Department of Climatology and Landscape Ecology, University of Szeged, Egyetem u. 2, Hungary; email: zeno@nimbus.elte.hu Cited By :1 Export Date: 13 January 2021 Correspondence Address: Gyöngyösi, A.Z.; Department of Climatology and Landscape Ecology, University of Szeged, Egyetem u. 2, Hungary; email: zeno@nimbus.elte.hu LA - English DB - MTMT ER - TY - JOUR AU - Rauber, Robert M. AU - Geerts, Bart AU - Xue, Lulin AU - French, Jeffrey AU - Friedrich, Katja AU - Rasmussen, Roy M. AU - Tessendorf, Sarah A. AU - Blestrud, Derek R. AU - Kunkel, Melvin L. AU - Parkinson, Shaun TI - Wintertime Orographic Cloud Seeding-A Review JF - JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY J2 - J APPL METEOROL CLIM VL - 58 PY - 2019 IS - 10 SP - 2117 EP - 2140 PG - 24 SN - 1558-8424 DO - 10.1175/JAMC-D-18-0341.1 UR - https://m2.mtmt.hu/api/publication/30952250 ID - 30952250 N1 - Funding Agency and Grant Number: NSF [AGS-1547101, AGS-1546963, AGS-1546939]; Idaho Power Company; National Science Foundation Funding text: The research underlying this review was supported under NSF Grants AGS-1547101, AGS-1546963, and AGS-1546939 and by the Idaho Power Company. The National Center for Atmospheric Research is sponsored by the National Science Foundation. AB - This paper reviews research conducted over the last six decades to understand and quantify the efficacy of wintertime orographic cloud seeding to increase winter snowpack and water supplies within a mountain basin. The fundamental hypothesis underlying cloud seeding as a method to enhance precipitation from wintertime orographic cloud systems is that a cloud's natural precipitation efficiency can be enhanced by converting supercooled water to ice upstream and over a mountain range in such a manner that newly created ice particles can grow and fall to the ground as additional snow on a specified target area. The review summarizes the results of physical, statistical, and modeling studies aimed at evaluating this underlying hypothesis, with a focus on results from more recent experiments that take advantage of modern instrumentation and advanced computation capabilities. Recent advances in assessment and operations are also reviewed, and recommendations for future experiments, based on the successes and failures of experiments of the past, are given. LA - English DB - MTMT ER - TY - JOUR AU - Ceglar, A AU - Croitoru, A-E AU - Cuxart, J AU - Djurdjevic, V AU - Güttler, I AU - Ivančan-Picek, B AU - Jug, D AU - Lakatos, Mónika AU - Weidinger, Tamás TI - PannEx: The Pannonian Basin Experiment JF - CLIMATE SERVICES J2 - CLIM SERV VL - 11 PY - 2018 SP - 78 EP - 85 PG - 8 SN - 2405-8807 DO - 10.1016/j.cliser.2018.05.002 UR - https://m2.mtmt.hu/api/publication/3385333 ID - 3385333 N1 - European Commission, Joint Research Centre, Via Enrico Fermi 2749, Ispra, 21027, Italy Faculty of Geography, Babeş-Bolyai University, 5-7, Clinicilor Street, Cluj-Napoca, 400006, Romania University of the Balearic Islands, Carretera de Valldemossa km 7.5, Palma, 07122, Spain Institute of Meteorology, Faculty of Physics, University of Belgrade, Dobracina 16, Belgrade, 11000, Serbia Meteorological and Hydrological Service (DHMZ), Grič 3, Zagreb, 10000, Croatia Faculty of Agriculture in Osijek, University of J.J. Strossmayer in Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia Hungarian Meteorological Service, Kitaibel Pal u.1, Budapest, H-1024, Hungary Eotvos Lorand University, Pazmany Peter setany 1/A, Budapest, H-1117, Hungary Cited By :2 Export Date: 28 August 2019 Correspondence Address: Ceglar, A.; European Commission, Joint Research Centre, Via Enrico Fermi 2749, Italy; email: andrej.ceglar@ec.europa.eu European Commission, Joint Research Centre, Via Enrico Fermi 2749, Ispra, 21027, Italy Faculty of Geography, Babeş-Bolyai University, 5-7, Clinicilor Street, Cluj-Napoca, 400006, Romania University of the Balearic Islands, Carretera de Valldemossa km 7.5, Palma, 07122, Spain Institute of Meteorology, Faculty of Physics, University of Belgrade, Dobracina 16, Belgrade, 11000, Serbia Meteorological and Hydrological Service (DHMZ), Grič 3, Zagreb, 10000, Croatia Faculty of Agriculture in Osijek, University of J.J. Strossmayer in Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia Hungarian Meteorological Service, Kitaibel Pal u.1, Budapest, H-1024, Hungary Eotvos Lorand University, Pazmany Peter setany 1/A, Budapest, H-1117, Hungary Cited By :2 Export Date: 29 August 2019 Correspondence Address: Ceglar, A.; European Commission, Joint Research Centre, Via Enrico Fermi 2749, Italy; email: andrej.ceglar@ec.europa.eu AB - The almost closed structure of the Pannonian Basin makes it an exceptional natural laboratory for the study of the water and energy cycles, focusing on the physical processes of relevance. The Pannonian Basin Experiment, under the umbrella of the Global Energy and Water Exchanges project of the World Climate Research Programme, aims to achieve a better understanding of the Earth System components and their interactions in the Pannonian Basin. The scientific basis of the PannEx supports research that can better translate and deliver relevant climate data, information and knowledge for societal decision making through the national hydro-meteorological and climate services, research institutes and universities. We outline the framework for the development of the PannEx in the light of international efforts to provide scientific support and involve international research community in integrated approach towards identifying and increasing adaptation capacity in the face of climate change in the Pannonian Basin. As such, PannEx dedicated observational and modeling efforts also strive to reach results with the global impact. © 2018 The Authors LA - English DB - MTMT ER - TY - JOUR AU - Glassmeier, Franziska AU - Lohmann, Ulrike TI - Precipitation Susceptibility and Aerosol Buffering of Warm- and Mixed-Phase Orographic Clouds in Idealized Simulations JF - JOURNAL OF THE ATMOSPHERIC SCIENCES J2 - J ATMOS SCI VL - 75 PY - 2018 IS - 4 SP - 1173 EP - 1194 PG - 22 SN - 0022-4928 DO - 10.1175/JAS-D-17-0254.1 UR - https://m2.mtmt.hu/api/publication/27611260 ID - 27611260 N1 - Funding Agency and Grant Number: ETH-domain CCES project OPTIWARES [41-02] Funding text: We thank Annette Miltenberger for sharing her experiences with the two-dimensional setup and Ulrich Blahak and Axel Seifert for providing the implementation of the cloud microphysics scheme. Nadja Herger and Fabiola Ramelli are gratefully acknowledged for their involvement in earlier approaches to orographic precipitation susceptibilities. We also thank three anonymous reviewers for their thoughtful comments that helped to clarify the manuscript. This work was funded by the ETH-domain CCES project OPTIWARES (41-02). LA - English DB - MTMT ER - TY - JOUR AU - Yang, Ha-Young AU - Chang, Ki-Ho AU - Chae, Sanghee AU - Jung, Eunsil AU - Seo, Seongkyu AU - Jeong, Jin-Yim AU - Lee, Jung-Ho AU - Ro, Yonghun AU - Kim, Baek-Jo TI - Case Study of Ground-Based Glaciogenic Seeding of Clouds over the Pyeongchang Region JF - ADVANCES IN METEOROLOGY J2 - ADV METEOROL PY - 2018 PG - 16 SN - 1687-9317 DO - 10.1155/2018/9465923 UR - https://m2.mtmt.hu/api/publication/27596974 ID - 27596974 N1 - Funding Agency and Grant Number: Korea Meteorological Administration Research and Development program "Research and Development for KMA Weather, Climate, and Earth System Services-Support to Use of Meteorological Information and Value Creation" [KMA2018-00222] Funding text: This work was funded by the Korea Meteorological Administration Research and Development program "Research and Development for KMA Weather, Climate, and Earth System Services-Support to Use of Meteorological Information and Value Creation" under Grant KMA2018-00222. The synoptic weather charts of the four cases were downloaded from the Korea Meteorological Administration website. The authors thank Professor Seong Soo Yum's team of Yonsei University for developing the WRF model with the modified Morrison scheme in microphysics. LA - English DB - MTMT ER -