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Relevant bibliographies by topics / Precipitation (meteorology)

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Academic literature on the topic 'Precipitation (meteorology)'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Precipitation (meteorology)"

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Akgül, Mehmet Ali, and Hakan Aksu. "Areal Precipitation Estimation Using Satellite Derived Rainfall Data over an Irrigation Area." Turkish Journal of Agriculture - Food Science and Technology 9, no. 2 (February 23, 2021): 386–94. http://dx.doi.org/10.24925/turjaf.v9i2.386-394.4061.

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The average precipitation on the irrigation field can be estimated from the Meteorology Observation Stations by using spatial interpolation methods such as Thiessen polygon and isohyetal curves. However, the fact that precipitation doesn't occur homogenous in spatial scales, spatial interpolation methodologies need a large number of meteorology stations for more accurate results. In recent years, remote sensing methods have diversified to estimate precipitation. In this study, performance of the satellite-based precipitation data was assessed to determine areal precipitation over an irrigation area. This study was conducted over left bank irrigation area located in the Çukurova Plain of Turkey. Relationship between CHIRPS satellite based on monthly precipitation data and 4 meteorology stations’ data were analyzed. Determination coefficients (R2) of the stations were found between 0.64 and 0.77, for point based comparison, R2 was calculated as 0.84 with Thiessen polygon method. It is concluded that the precipitation amount in the irrigated area can be estimated as accurately as classical methods such as Thiessen polygon with satellite-based precipitation data.

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Ahrens, B., K. Jasper, and J. Gurtz. "On ALADIN precipitation modeling and validation in an Alpine watershed." Annales Geophysicae 21, no. 3 (March 31, 2003): 627–37. http://dx.doi.org/10.5194/angeo-21-627-2003.

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Abstract. Highly resolved precipitation forecasts are necessary in many applications, especially in mountain meteorology and flash flood forecasts for small- to medium-sized alpine watersheds. Here we present precipitation forecasts simulated by the limited area model ALADIN applying different grid resolutions (Dx = 10 km and 4 km). Target area of the investigations is the Alpine Ticino-Verzasca-Maggia watershed (total area: 2627 km2). We discuss problems of validation of high-resolution precipitation forecasts by comparison with observed precipitation fields and apply an indirect validation approach by using ALADIN forecasts as input to hydrologic simulations. These simulations are carried out with the distributed hydrologic model WaSiM-ETH (Dx = 500 m, Dt = 1 h). The time step of meteorological input to WaSiM-ETH is fixed at 1 h but spatial resolution varies. The main result of the validation experiments for three heavy precipitation events is, that coarser-scale ALADIN forecasts (in model version 11.2) provide better precipitation predictors for hydrologic modeling than higher-resolution forecasts. The experiments demonstrate that hydrologic modeling is a promising tool for the evaluation of high-resolution precipitation fields.Key words. Hydrology (floods) – Meteorology and atmospheric dynamics (mesoscale meteorology; precipitation)

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Liu, Yan Ping, Yong Wang, and Zhen Wang. "RBF Prediction Model Based on EMD for Forecasting GPS Precipitable Water Vapor and Annual Precipitation." Advanced Materials Research 765-767 (September 2013): 2830–34. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2830.

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The forecast of precipitations is important in meteorology and atmospheric sciences. A new model is proposed based on empirical mode decomposition and the RBF neural network. Firstly, GPS PWV time series is broken down into series of different scales intrinsic mode function. Secondly, the phase space reconstruction is done. Thirdly, each component is predicted by RBF. Finally, the final prediction value is reconstructed. Next, the model is tested on annual precipitation sequence from 2001 to 2010 in northeast China. The result shows that predictive value is close to the actual precipitation, which can better reflect the actual precipitation change. From 2001 to 2010, the maximum deviation of the predicted values never exceeds 4%. The testing results show that the proposed model can increase precipitation forecasting accuracies not only in GPS PWV but also in annual precipitation.

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Demaria, E. M. C., E. P. Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, and F. Meza. "Using a Gridded Global Dataset to Characterize Regional Hydroclimate in Central Chile." Journal of Hydrometeorology 14, no. 1 (February 1, 2013): 251–65. http://dx.doi.org/10.1175/jhm-d-12-047.1.

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Abstract Central Chile is facing dramatic projections of climate change, with a consensus for declining precipitation, negatively affecting hydropower generation and irrigated agriculture. Rising from sea level to 6000 m within a distance of 200 km, precipitation characterization is difficult because of a lack of long-term observations, especially at higher elevations. For understanding current mean and extreme conditions and recent hydroclimatological change, as well as to provide a baseline for downscaling climate model projections, a temporally and spatially complete dataset of daily meteorology is essential. The authors use a gridded global daily meteorological dataset at 0.25° resolution for the period 1948–2008, adjusted by monthly precipitation observations interpolated to the same grid using a cokriging method with elevation as a covariate. For validation, daily statistics of the adjusted gridded precipitation are compared to station observations. For further validation, a hydrology model is driven with the gridded 0.25° meteorology and streamflow statistics are compared with observed flow. The high elevation precipitation is validated by comparing the simulated snow extent to Moderate Resolution Imaging Spectroradiometer (MODIS) images. Results show that the daily meteorology with the adjusted precipitation can accurately capture the statistical properties of extreme events as well as the sequence of wet and dry events, with hydrological model results displaying reasonable agreement with observed streamflow and snow extent. This demonstrates the successful use of a global gridded data product in a relatively data-sparse region to capture hydroclimatological characteristics and extremes.

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Chubb, Thomas H., Michael J. Manton, Steven T. Siems, and Andrew D. Peace. "Evaluation of the AWAP daily precipitation spatial analysis with an independent gauge network in the Snowy Mountains." Journal of Southern Hemisphere Earth Systems Science 66, no. 1 (2016): 55. http://dx.doi.org/10.1071/es16006.

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The Bureau of Meteorology's Australian Water Availability Project (AWAP) daily precipitation analysis provides high resolution rainfall data by interpolating rainfall gauge data, but when evaluated against a spatially dense independent gauge network in the Snowy Mountains large systematic biases are identified. Direct comparisons with the gauge data in May–September between 2007 and 2014 reveal average root mean square errors of about 4.5 mm, which is slightly greater than the average daily precipitation amount, and the errors are larger for higher elevation gauges. A standard Barnes objective analysis is per-formed on the combined set of independent gauges and Bureau of Meteorology gauges in the region to examine the spatial characteristics of the differences. The largest differences are found on the western (windward) slopes, where the Barnes analysis is up to double the value of the AWAP analysis. These differences are attributed to a) the lack of Bureau of Meteorology gauges in the area to empirically represent the precipitation climatology, and b) the inability of the AWAP analysis to account for the steep topography exposed to the prevailing winds. At high elevation (>1400 m) the Barnes analysis suggests that the precipitation amount is about fifteen percent greater than that of the AWAP analysis, where the difficulties of measuring frozen precipitation likely have a large impact.

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Keup-Thiel, E., C. Ph Klepp, E. Raschke, and B. Rockel. "Regional model simulation of the North Atlantic cyclone "Caroline" and comparisons with satellite data." Annales Geophysicae 21, no. 3 (March 31, 2003): 655–59. http://dx.doi.org/10.5194/angeo-21-655-2003.

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Abstract. An individual regional model simulation of cyclone "Caroline" has been carried out to study water cycle components over the North Atlantic Ocean. The uncertainties associated with quantitative estimates of the water cycle components are highlighted by a comparison of the model results with SSM/I (Special Sensor Microwave Imager) satellite data. The vertically integrated water vapor of the REgional MOdel REMO is in good agreement with the SSM/I satellite data. The simulation results for other water budget components like the vertically integrated liquid water content and precipitation compare also reasonably well within the frontal system. However, the high precipitation rate in the cold air outbreak on the backside of the cold front derived from SSM/I satellite data is generally underestimated by REMO. This results in a considerable deficit of the total precipitation amount accumulated for the cyclone "Caroline". While REMO simulates 24.3 108 m3 h-1 for 09:00 UTC, the total areal precipitation from SSM/I satellite data amounts to 54.7 08 m3 h-1.Key words. Meteorology and atmospheric dynamics (precipitation; mesoscale meteorology) – Radio science (remote sensing)

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Xu, Fengyang, Guanbin Li, Yunfei Du, Zhiguang Chen, and Yutong Lu. "Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 14966–73. http://dx.doi.org/10.1609/aaai.v35i17.17756.

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The postprocessing method of ensemble forecasts is usually used to find a more precise estimate of future precipitation, because dynamic meteorology models have limitations in fitting fine-grained atmospheric processes and precipitation is driven more often by smaller-scale processes, while ensemble forecasts can hit this precipitation at times. However, the pattern of these hits cannot be easily summarized. The existing objective postprocessing methods tend to extend the rain area or false alarm the precipitation intensity categories. In this work, we introduce a multi-layer structure to simultaneously reduce the bias in forecast ensembles output by meteorology models and merge them to a quality deterministic (single-valued) forecast using cross-grid information, which differs quite dramatically from the previous statistical postprocessing method. The multi-layer network is designed to model the spatial distribution of future precipitation of different intensity categories(IC-MLNet). We provide a comparison of IC-MLNet to simple average as well as another two state-of-the-art ensemble quantitative precipitation forecasts (QPFs) postprocessing approaches over both single-model and multi-model ensemble forecasts datasets from TIGGE. The experimental results indicate that our model achieves superior performance over the compared baselines in precipitation amount prediction as well as precipitation intensities categories prediction.

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Korolev, Victor, Andrey Gorshenin, and Konstatin Belyaev. "Statistical Tests for Extreme Precipitation Volumes." Mathematics 7, no. 7 (July 19, 2019): 648. http://dx.doi.org/10.3390/math7070648.

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The analysis of the real observations of precipitation based on the novel statistical approach using the negative binomial distribution as a model for describing the random duration of a wet period is considered and discussed. The study shows that this distribution fits very well to the real observations and generalized standard methods used in meteorology to detect an extreme volume of precipitation. It also provides a theoretical base for the determination of asymptotic approximations to the distributions of the maximum daily precipitation volume within a wet period, as well as the total precipitation volume over a wet period. The paper demonstrates that the relation of the unique precipitation volume, having the gamma distribution, divided by the total precipitation volume taken over the wet period is given by the Snedecor–Fisher or beta distributions. It allows us to construct statistical tests to determine the extreme precipitations. Within this approach, it is possible to introduce the notions of relatively and absolutely extreme precipitation volumes. An alternative method to determine an extreme daily precipitation volume based on a certain quantile of the tempered Snedecor–Fisher distribution is also suggested. The results of the application of these methods to real data are presented.

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Oswald, Sandro M., Helga Pietsch, Dietmar J. Baumgartner, Philipp Weihs, and Harald E. Rieder. "Pyranometer offsets triggered by ambient meteorology: insights from laboratory and field experiments." Atmospheric Measurement Techniques 10, no. 3 (March 21, 2017): 1169–79. http://dx.doi.org/10.5194/amt-10-1169-2017.

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Abstract. This study investigates the effects of ambient meteorology on the accuracy of radiation (R) measurements performed with pyranometers contained in various heating and ventilation systems (HV-systems). It focuses particularly on instrument offsets observed following precipitation events. To quantify pyranometer responses to precipitation, a series of controlled laboratory experiments as well as two targeted field campaigns were performed in 2016. The results indicate that precipitation (as simulated by spray tests or observed under ambient conditions) significantly affects the thermal environment of the instruments and thus their stability. Statistical analyses of laboratory experiments showed that precipitation triggers zero offsets of −4 W m−2 or more, independent of the HV-system. Similar offsets were observed in field experiments under ambient environmental conditions, indicating a clear exceedance of BSRN (Baseline Surface Radiation Network) targets following precipitation events. All pyranometers required substantial time to return to their initial signal states after the simulated precipitation events. Therefore, for BSRN-class measurements, the recommendation would be to flag the radiation measurements during a natural precipitation event and 90 min after it in nighttime conditions. Further daytime experiments show pyranometer offsets of 50 W m−2 or more in comparison to the reference system. As they show a substantially faster recovery, the recommendation would be to flag the radiation measurements within a natural precipitation event and 10 min after it in daytime conditions.

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Renggono, F., H. Hashiguchi, S. Fukao, M. D. Yamanaka, S. Y. Ogino, N. Okamoto, F. Murata, et al. "Precipitating clouds observed by 1.3-GHz boundary layer radars in equatorial Indonesia." Annales Geophysicae 19, no. 8 (August 31, 2001): 889–97. http://dx.doi.org/10.5194/angeo-19-889-2001.

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Abstract. Temporal variations of precipitating clouds in equatorial Indonesia have been studied based on observations with 1357.5 MHz boundary layer radars at Serpong (6.4° S, 106.7° E) near Jakarta and Bukittinggi (0.2° S, 100.3° E) in West Sumatera. We have classified precipitating clouds into four types: stratiform, mixed stratiform-convective, deep convective, and shallow convective clouds, using the Williams et al. (1995) method. Diurnal variations of the occurrence of precipitating clouds at Serpong and Bukittinggi have showed the same characteristics, namely, that the precipitating clouds primarily occur in the afternoon and the peak of the stratiform cloud comes after the peak of the deep convective cloud. The time delay between the peaks of stratiform and deep convective clouds corresponds to the life cycle of the mesoscale convective system. The precipitating clouds which occur in the early morning at Serpong are dominated by stratiform cloud. Concerning seasonal variations of the precipitating clouds, we have found that the occurrence of the stratiform cloud is most frequent in the rainy season, while the occurrence of the deep convective cloud is predominant in the dry season.Key words. Meteorology and atmospheric dynamics (convective processes; precipitation; tropical meteorology)

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Dissertations / Theses on the topic "Precipitation (meteorology)"

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Garvert, Matthew F. "An observational and modeling study of a heavy orographic precipitation event over the Oregon Cascades /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/10021.

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Chew, Serena Janine. "Comparison of quantitative precipitation forecast, a precipitation-based quantitative precipitation estimate and a radar-derived quantitative precipitation estimate." abstract and full text PDF (free order & download UNR users only), 2006. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1432997.

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James, Curtis Neal. "Radar observations of orographic precipitation /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/10082.

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Foster, James H. "GPS meteorology and the phenomenology of precipitable water." Thesis, University of Hawaii at Manoa, 2002. http://proquest.umi.com/pqdweb?index=4&did=765064511&SrchMode=1&sid=5&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1209143773&clientId=23440.

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Bogart, Tianna Anise. "Bias adjustments of Arctic precipitation." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 144 p, 2007. http://proquest.umi.com/pqdweb?did=1397904201&sid=3&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Takahashi, Ken. "Processes controlling the mean tropical Pacific precipitation pattern /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/10069.

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Kirshbaum, Daniel. "Shallow convection in orographic precipitation /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/10091.

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Schumacher, Courtney. "Tropical precipitation in relation to the large-scale circulation /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/10041.

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Lack, Steven A. "Quantifying the effect of wind-drift on radar-derived surface rainfall estimations /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1420931.

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Byrd, Gregory Paul. "Analysis of winter season precipitation bands over the Southern Plains /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1987.

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Books on the topic "Precipitation (meteorology)"

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Purslow, Frances. Precipitation. New York, NY: AV2 by Weigl, 2011.

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Purslow, Frances. Precipitation. New York, NY: Lightbox, 2016.

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Purslow, Frances. Precipitation. New York, NY: AV2, 2011.

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Sumner, Graham. Precipitation: Process and analysis. Chichester: Wiley, 1988.

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R, Braham Roscoe, and American Meteorological Society, eds. Precipitation enhancement: A scientific challenge. Boston, MA: American Meteorological Society, 1986.

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Dohring, Henry. Precipitation: Prediction, formation, and environmental impact. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Pruppacher, Hans R. Microphysics of clouds and precipitation. 2nd ed. Dordrecht: Kluwer Academic Publishers, 1997.

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Bednar, Gene A. Precipitation-quality monitoring in southern Mississippi, 1982-87. Jackson, Miss: Dept. of the Interior, U.S. Geological Survey, 1989.

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Bednar, Gene A. Precipitation-quality monitoring in southern Mississippi, 1982-87. Jackson, Miss: Dept. of the Interior, U.S. Geological Survey, 1989.

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Sumner, Graham N. Precipitation: Process and analysis. Chichester [West Sussex]: Wiley, 1988.

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Book chapters on the topic "Precipitation (meteorology)"

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Raghavan, S. "Estimation of Precipitation." In Radar Meteorology, 261–312. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0201-0_7.

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Spiridonov, Vlado, and Mladjen Ćurić. "Clouds and Precipitation." In Fundamentals of Meteorology, 135–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52655-9_11.

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Ćurić, Mladjen, and Vlado Spiridonov. "Clouds and Precipitation." In History of Meteorology, 293–316. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45032-7_14.

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Joss, Jürg, Albert Waldvogel, and C. G. Collier. "Precipitation Measurement and Hydrology." In Radar in Meteorology, 577–606. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_39.

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Reinking, Roger F., and Joe F. Boatman. "Upslope Precipitation Events." In Mesoscale Meteorology and Forecasting, 437–71. Boston, MA: American Meteorological Society, 1986. http://dx.doi.org/10.1007/978-1-935704-20-1_19.

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Rohli, Robert V., and Chunyan Li. "Precipitation Processes and Types." In Meteorology for Coastal Scientists, 125–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73093-2_12.

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Smith, Paul L. "Precipitation Measurement and Hydrology: Panel Report." In Radar in Meteorology, 607–18. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_40.

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Winkler, P., and S. Jobst. "Comparison of Various Precipitation Gauges and Sensors for the Determination of Wet Deposition." In Environmental Meteorology, 193–200. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2939-5_14.

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Dennis, A. S., and W. F. Hitschfeld. "Advances in Precipitation Physics Following the Advent of Weather Radar." In Radar in Meteorology, 98–108. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_13.

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Browning, K. A., and Kerry A. Emanuel. "Organization and Internal Structure of Synoptic and Mesoscale Precipitation Systems in Midlatitudes." In Radar in Meteorology, 433–60. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-935704-15-7_33.

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Conference papers on the topic "Precipitation (meteorology)"

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Suparta, Wayan, and Siti Khalijah Zainudin. "Precipitation analysis using GPS meteorology over Antarctic Peninsula." In 2015 International Conference on Space Science and Communication (IconSpace). IEEE, 2015. http://dx.doi.org/10.1109/iconspace.2015.7283809.

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Eastment, J. D. "An S-band Doppler radar to measure precipitation characteristics in the tropics." In IEE Colloquium on Radar Meteorology. IEE, 1995. http://dx.doi.org/10.1049/ic:19950201.

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Jian, Peng, and Zhang Ting. "Application of the Xingjiang Snowmelt Tipping-Bucket Precipitation Sensor." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9025877.

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Wang, Xu, Weimin Yu, Fei Wu, Haozhe Zhang, Yue Sun, and Xuesong Wang. "Online Detection Method of Metal Element Content in Precipitation." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026073.

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Jia, Xiaofang, Yong Zhang, Yang Gao, and Wei Gao. "The Precipitation Acidity Trend in Shanghai during 1993-2018." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026095.

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Bangxian, Wei, Su Junfeng, Yang Bin, Miao Ting, and Wang Xiaolie. "Research on Field Calibration Method of Weighing Precipitation Sensor." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026118.

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Zheng, Liying, Xiaoxia Li, Lijuan Shi, Shengxiu Qi, Dongming Hu, and Zhian Chen. "Study on Automatic and Manual Observation of Precipitation Weather Phenomenon." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026156.

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Li, Zhihua, Yong She, and Tao Liu. "Design of Precipitation Particle Measuring System Based on Linear CCD." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9025942.

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Bangxian, Wei, Su Junfeng, and Yang Yunyun. "Research on the Improvement Method of Tipping Bucket Precipitation Sensor." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026068.

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Yi, Zhang, Ma Shangchang, and Zhao Panpan. "Temporal and Spatial Distribution Characteristics of Annual Precipitation in Chengdu." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026080.

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Reports on the topic "Precipitation (meteorology)"

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Alter, Ross, Michelle Swearingen, and Mihan McKenna. The influence of mesoscale atmospheric convection on local infrasound propagation. Engineer Research and Development Center (U.S.), February 2024. http://dx.doi.org/10.21079/11681/48157.

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Infrasound—that is, acoustic waves with frequencies below the threshold of human hearing—has historically been used to detect and locate distant explosive events over global ranges (≥1,000 km). Simulations over these ranges have traditionally relied on large-scale, synoptic meteorological information. However, infrasound propagation over shorter, local ranges (0–100 km) may be affected by smaller, mesoscale meteorological features. To identify the effects of these mesoscale meteorological features on local infrasound propagation, simulations were conducted using the Weather Research and Forecasting (WRF) meteorological model to approximate the meteorological conditions associated with a series of historical, small-scale explosive test events that occurred at the Big Black Test Site in Bovina, Mississippi. These meteorological conditions were then incorporated into a full-wave acoustic model to generate meteorology-informed predictions of infrasound propagation. A series of WRF simulations was conducted with varying degrees of horizontal resolution—1, 3, and 15 km—to investigate the spatial sensitivity of these infrasound predictions. The results illustrate that convective precipitation events demonstrate potentially observable effects on local infrasound propagation due to strong, heterogeneous gradients in temperature and wind associated with the convective events themselves. Therefore, to accurately predict infrasound propagation on local scales, it may be necessary to use convection-permitting meteorological models with a horizontal resolution ≤4 km at locations and times that support mesoscale convective activity.

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