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Relevant bibliographies by topics / Satellite-based precipitation

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Academic literature on the topic 'Satellite-based precipitation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Satellite-based precipitation"

1

Saavedra, Oliver, and Jhonatan Ureña. "Generation of Combined Daily Satellite-Based Precipitation Products over Bolivia." Remote Sensing 14, no. 17 (2022): 4195. http://dx.doi.org/10.3390/rs14174195.

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This study proposes using Satellite-Based Precipitation (SBP) products and local rain gauge data to generate information on the daily precipitation product over Bolivia. The selected SBP products used were the Global Satellite Mapping of Precipitation Gauge, v6 (GSMaP_Gauge v6) and the Climate Hazards Group Infrared Precipitations with Stations (CHIRPS). The Gridded Meteorological Ensemble Tool (GMET) is a generated precipitation product that was used as a control for the newly generated products. The correlation coefficients for raw data from SBP products were found to be between 0.58 and 0.6

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Hieu, Bui Thi. "Study on quantification of areal mean precipitation using satellite-gauge merging precipitation." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 12, no. 5 (2018): 117–26. http://dx.doi.org/10.31814/stce.nuce2018-12(5)-12.

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Satellite based precipitation product (GSMaP-MVK) can be reliably used to estimate the Areal Mean Precipitation error based on “Sample Design method” (Esdd) with the effort to mitigate the problem of sparse data, especially severe in poorly gauged river basins. In addition, the satellite-gauge merging precipitation would reduce significantly the magnitude gaps between the satellite rainfall estimations and the rain gauge data. In this study, the capability of satellite-gauge merging precipitation using GSMaP-MVK and local dense rain gauge data with bias reduction approach to evaluate the AMP i

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Smith, Thomas M., Phillip A. Arkin, John J. Bates, and George J. Huffman. "Estimating Bias of Satellite-Based Precipitation Estimates." Journal of Hydrometeorology 7, no. 5 (2006): 841–56. http://dx.doi.org/10.1175/jhm524.1.

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Abstract Systematic biases in satellite-based precipitation estimates can be the dominant component of their uncertainty. These biases may not be reduced by averaging, which makes their evaluation particularly important. Described here are several methods of evaluating the biases and their characteristics. Methods are developed and tested using monthly average precipitation estimates from several satellites. Direct estimates of bias are obtained from analysis of satellite–gauge estimates, and they indicate the general bias patterns and magnitudes over land. Direct estimates cannot be computed

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Gao, Yanbo, Jiping Guan, Fuhan Zhang, Xiaodong Wang, and Zhiyong Long. "Attention-Unet-Based Near-Real-Time Precipitation Estimation from Fengyun-4A Satellite Imageries." Remote Sensing 14, no. 12 (2022): 2925. http://dx.doi.org/10.3390/rs14122925.

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Reliable near-real-time precipitation estimation is crucial for scientific research and resistance to natural disasters such as floods. Compared with ground-based precipitation measurements, satellite-based precipitation measurements have great advantages, but precipitation estimation based on satellite is still a challenging issue. In this paper, we propose a deep learning model named Attention-Unet for precipitation estimation. The model utilizes the high temporal, spatial and spectral resolution data of the FY4A satellite to improve the accuracy of precipitation estimation. To evaluate the

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Errico, Ronald M., George Ohring, Fuzhong Weng, et al. "Assimilation of Satellite Cloud and Precipitation Observations in Numerical Weather Prediction Models: Introduction to the JAS Special Collection." Journal of the Atmospheric Sciences 64, no. 11 (2007): 3737–41. http://dx.doi.org/10.1175/2007jas2622.1.

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Abstract To date, the assimilation of satellite measurements in numerical weather prediction (NWP) models has focused on the clear atmosphere. But satellite observations in the visible, infrared, and microwave provide a great deal of information on clouds and precipitation. This special collection describes how to use this information to initialize clouds and precipitation in models. Since clouds and precipitation often occur in sensitive regions for forecast impacts, such improvements are likely necessary for continuing to acquire significant gains in weather forecasting. This special collect

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Zhang, Xinxuan, and Emmanouil N. Anagnostou. "Evaluation of Numerical Weather Model–Based Satellite Precipitation Adjustment in Tropical Mountainous Regions." Journal of Hydrometeorology 20, no. 3 (2019): 431–45. http://dx.doi.org/10.1175/jhm-d-18-0008.1.

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Abstract The study evaluated a numerical weather model (WRF)-based satellite precipitation adjustment technique with 81 heavy precipitation events that occurred in three tropical mountainous regions (Colombia, Peru, and Taiwan). The technique was applied on two widely used near-real-time global satellite precipitation products—the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Global Satellite Mapping of Precipitation project (GSMaP)—for each precipitation event. The WRF-adjusted satellite products along with the near-real-t

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Tamrakar, Bijaya, and Knut Alfredsen. "Satellite-Based Precipitation Estimation for Hydropower Development." Hydro Nepal: Journal of Water, Energy and Environment 12 (October 29, 2013): 52–58. http://dx.doi.org/10.3126/hn.v12i0.9033.

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Runoff is one of the major factors that govern the capacity of a hydropower project. Precipitation data are needed for estimation of runoff through runoff simulation using a hydrological model. Dense setup of rain gauge network in a mountainous topography is difficult and expensive. An alternative for this problem is the use of Satellite precipitation data with high spatial and temporal resolution. They have an additional advantage that they represent areal precipitation. But, these data should be duly evaluated before using them. In this study, Tropical Rainfall Measuring Mission (TRMM 3B42)

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Heymsfield, Andrew J., Carl Schmitt, Chih-Chieh-Jack Chen, et al. "Contributions of the Liquid and Ice Phases to Global Surface Precipitation: Observations and Global Climate Modeling." Journal of the Atmospheric Sciences 77, no. 8 (2020): 2629–48. http://dx.doi.org/10.1175/jas-d-19-0352.1.

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Abstract This study is the first to reach a global view of the precipitation process partitioning, using a combination of satellite and global climate modeling data. The pathways investigated are 1) precipitating ice (ice/snow/graupel) that forms above the freezing level and melts to produce rain (S) followed by additional condensation and collection as the melted precipitating ice falls to the surface (R); 2) growth completely through condensation and collection (coalescence), warm rain (W); and 3) precipitating ice (primarily snow) that falls to the surface (SS). To quantify the amounts, dat

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Lu, C., H. Yuan, E. I. Tollerud, and N. Wang. "Scale-Dependent Uncertainties in Global QPFs and QPEs from NWP Model and Satellite Fields." Journal of Hydrometeorology 11, no. 1 (2010): 139–55. http://dx.doi.org/10.1175/2009jhm1164.1.

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Abstract Global precipitation forecasts from numerical weather prediction (NWP) models can be verified using the near-global coverage of satellite precipitation retrievals. However, inaccuracies in satellite precipitation analyses complicate the interpretation of forecast errors that result from verification of an NWP model against satellite observations. In this study, assessments of both a global quantitative precipitation estimate (QPE) from a satellite precipitation product and corresponding global quantitative precipitation forecast (QPF) from a global NWP model are conducted using availa

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Li, Jingjing, Kuo-Lin Hsu, Amir AghaKouchak, and Soroosh Sorooshian. "Object-Based Assessment of Satellite Precipitation Products." Remote Sensing 8, no. 7 (2016): 547. http://dx.doi.org/10.3390/rs8070547.

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Dissertations / Theses on the topic "Satellite-based precipitation"

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Zhang, Jian. "Moisture and diabatic initialization based on radar and satellite observations /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1999.

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Siena, Matteo. "Improving satellite-based quantification of extreme precipitation events with long return period." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25441/.

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Extreme precipitation causes large damage and replenish freshwater storage in arid regions. Quantitative information on extremes with low yearly exceedance probability is crucial for risk and water resources management, design of hydraulic structures and early-warning systems. Rain gauges offer relatively long and homogeneous records, but don’t sample uniformly the Earth's surface, leaving vast areas completely ungauged. Satellite observations could help overcoming this limit, but suffer from estimation errors, which may propagate to the estimated extreme quantiles. In this work, rain gauge

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Collier, Jonathan Craig. "Tropical precipitation simulated by the NCAR Community Climate Model (CCM3): an evaluation based on TRMM satellite measurements." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2715.

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This study evaluates the simulation of tropical precipitation by the Community Climate Model, Version 3, developed at the National Center for Atmospheric Research. For an evaluation of the annual cycle of precipitation, monthly-mean precipitation rates from an ensemble of CCM3 simulations are compared to those computed from observations of the TRMM satellite over a 44-month period. On regional and sub-regional scales, the comparison fares well over much of the Eastern Hemisphere south of 10◦S and over South America. However, model - satellite differences are large in portions of Central

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Esmaelili-Mahani, Shayesteh. "Improving high-resolution IR satellite-based precipitation estimation: A procedure for cloud-top relief displacement adjustment." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284113.

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An efficient and simple method has been developed to improve quality and accuracy of satellite-based VIS/IR images through cloud-top relief spatial displacements adjustment. The products of this algorithm, including cloud-top temperatures and heights, atmospheric temperature profiles for cloudy sky, and displacement-adjusted cloud images, can be useful for weather/climate and atmospheric studies, particularly for high-resolution hydrologic applications such as developing IR satellite-based rainfall estimates, which are urgently needed by mesoscale atmospheric modeling and studies, severe weath

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SANO, PAOLO. "The Cloud dynamics and radiation database (CDRD) approach for precipitation retrieval by means of satellite based microwave radiometry." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1329.

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Questa tesi affronta alcuni aspetti della stima delle precipitazioni attraverso misure a microonde effettuate da satellite. Sebbene le tecniche di telerilevamento con radiometri a microonde per la stima delle precipitazioni si siano sviluppate notevolmente negli ultimi anni, ulteriori sviluppi sono apparsi necessari ed alcuni aspetti di queste tecniche costituiscono temi di ricerca attualmente in corso. L’attività svolta in questa tesi ha riguardato, in primo luogo, la costruzione e lo sviluppo dell’algoritmo BAMPR (Bayesian Algorithm for Microwave-based Precipitation Retrieval), basato sull

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de, Luque Söllheim Ángel Luis. "Two satellite-based rainfall algorithms, calibration methods and post-processing corrections applied to Mediterranean flood cases." Doctoral thesis, Universitat de les Illes Balears, 2008. http://hdl.handle.net/10803/9434.

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Esta tesis explora la precisión de dos métodos de estimación de precipitación, Auto-Estimator y CRR (Convective Rainfall Rate), generados a partir de imágenes infrarrojas y visibles del Meteosat. Ambos métodos junto con una serie de correcciones de la intensidad de lluvia estimada se aplican y se verifican en dos casos de inundaciones acaecidas en zonas mediterráneas. El primer caso ocurrió en Albania del 21 al 23 de septiembre de 2002 y el segundo, conocido como caso Montserrat, ocurrió en Cataluña la noche del 9 al 10 se junio de 2000. Por otro lado se investiga la posibilidad de realizar ca

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Yokoyama, Yoshihiro. "Characteristics of the mesoscale field-aligned currents in the dusk sector of the auroral oval based on data from the Swarm satellites." Kyoto University, 2021. http://hdl.handle.net/2433/261602.

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Friesen, Bruce. "Assimilation of satellite based rainfall estimates with the Canadian Precipitation Analysis." 2014. http://hdl.handle.net/1993/30078.

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The Canadian Precipitation Analysis (CaPA) produces a gridded product by assimilating data from stations and the Global Environmental Multiscale (GEM) model. This project assesses the performance of the satellite based rainfall estimates for Canada, and the results of their assimilation with CaPA. The satellite based estimates considered are those from the Climate Prediction Center Morphing method (CMORPH) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN). Relative to the Second Generation of Daily Adjusted Precipitation for Canada

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Wacker, Robert S. "Correcting for precipitation effects in satellite-based passive microwave tropical cyclone intensity estimates." 2005. http://catalog.hathitrust.org/api/volumes/oclc/65198564.html.

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Yeggina, Subash. "Spatial downscaling and analysis of satellite and ground-based rainfall for hydrological modelling." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4575.

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Precipitation is a vital element of the global hydrological and energy cycles, which is intermittent and highly variable in both space and time. Accurate measurements of precipitation at various space and time scales are important for hydrologists, agriculturalists, weather forecasters, and climate scientists. There are three approaches for measuring rainfall namely, (i) in-situ measurements; (ii) radars and (iii) satellite. The records of precipitation from in-situ measurements and radars are limited mostly to areas where they can be deployed, and measurements from those instruments are spars

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Books on the topic "Satellite-based precipitation"

1

Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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United States. National Environmental Satellite, Data, and Information Service., ed. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Fortune, Michael A. Automated satellite-based estimates of precipitation: An assessment of accuracy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1998.

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Nasrollahi, Nasrin. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12081-2.

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Nasrollahi, Nasrin. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer, 2015.

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Nasrollahi, Nasrin. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer, 2014.

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Nasrollahi, Nasrin. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer, 2016.

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Book chapters on the topic "Satellite-based precipitation"

1

Ferraro, Ralph, and Thomas Smith. "Global Precipitation Monitoring." In Satellite-based Applications on Climate Change. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5872-8_6.

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Smith, Thomas M. "Developing a Historical Precipitation Record." In Satellite-based Applications on Climate Change. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5872-8_7.

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Yiwen Mei, Efthymios, E. I. Nikolopoulos, and Emmanouil N. Anagnostou. "Satellite-Based Precipitation for Modeling Floods." In Remote Sensing of Hydrometeorological Hazards. CRC Press, 2017. http://dx.doi.org/10.1201/9781315154947-19.

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Hsu, Kuo-Lin, Ali Behrangi, Bisher Imam, and Soroosh Sorooshian. "Extreme Precipitation Estimation Using Satellite-Based PERSIANN-CCS Algorithm." In Satellite Rainfall Applications for Surface Hydrology. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2915-7_4.

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Himanshu, Sushil Kumar, Ashish Pandey, and Deen Dayal. "Assessment of Multiple Satellite-Based Precipitation Estimates Over Muneru Watershed of India." In Water Management and Water Governance. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58051-3_5.

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Neeti, Neeti, V. M. Chowdary, C. S. Jha, S. R. Chowdhury, and R. C. Srivastava. "Evaluation of Multiple Satellite Precipitation Gridded Products for Standard Precipitation Index Based Drought Assessment at Different Time Scales." In Geospatial Technologies for Land and Water Resources Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90479-1_29.

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Abdelmoneim, Hadir, Mohamed R. Soliman, and Hossam M. Moghazy. "Hydrologic Assessment of the Uncertainty of Six Remote Sensing Precipitation Estimates Driven by a Distributed Hydrologic Model in the Blue Nile Basin." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_8.

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AbstractBecause of the sparseness of the ground monitoring network, precipitation estimations based on satellite products (PESPs) are currently requisite tools for hydrological simulation research and applications. The evaluation of six global high-resolution PESPs (TRMM 3B42V7, GPGP-1DD, TRMM 3B42RT, CMORPH-V1.0, PERSIANN, and PERSIANN-CDR) is the ultimate purpose of this research. Additionally, the distributed Hydrological River Basin Environmental Assessment Model (Hydro-BEAM) is used to investigate their potential effects in streamflow predictions over the Blue Nile basin (BNB) during the

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Kuligowski, Robert J. "The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency Satellite-Based Rainfall Estimates." In Satellite Rainfall Applications for Surface Hydrology. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2915-7_3.

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Sutton, G., and B. J. Conway. "Automating Precipitation Nowcasts Based on Satellite and Radar Imagery Combined with Numerical Model Products." In Weather Radar Networking. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_41.

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Hong, Yang, Robert F. Adler, George J. Huffman, and Harold Pierce. "Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prototyping a Global Flood Modeling System." In Satellite Rainfall Applications for Surface Hydrology. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2915-7_15.

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Conference papers on the topic "Satellite-based precipitation"

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Tran, Thi Linh Chi, and Tang-Huang Lin. "Associations between aerosol's deposition and chlorophyll-a distribution based on multisensor satellite observations." In Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII, edited by Cheng-Yung Huang, Eastwood Im, and Song Yang. SPIE, 2025. https://doi.org/10.1117/12.3042111.

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Binti Mahmud, Husniyah, and Takahiro Osawa. "Enhanced precipitation prediction through the integration of gauge observations with satellite-based precipitation prediction models utilizing the Bayesian model averaging (BMA) technique in Kelantan, Malaysia." In Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII, edited by Cheng-Yung Huang, Eastwood Im, and Song Yang. SPIE, 2025. https://doi.org/10.1117/12.3038111.

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Hu, Jiayi, Mingfang Zhang, Shiyu Deng, Zipei Liu, and Zhou Tian. "Evaluating the Performance of Satellite-Based and Reanalysis Precipitation Products in Southwest China." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641990.

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Kossieris, Panagiotis, Ioannis Tsoukalas, Luca Brocca, Hamidreza Mosaffa, Christos Makropoulos, and Anca Anghelea. "An Integrated, Explainable and Uncertainty-Aware Satellite-Based Precipitation Product for the Mediterranean Region." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641931.

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Fang, Miao, and Chunfeng Ma. "Uncertainty and quality assessment of satellite-based precipitation products using three-cornered hat method." In Fourth International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2025), edited by Jinjian Wu and Juanle Wang. SPIE, 2025. https://doi.org/10.1117/12.3066605.

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Yuan, Min, and An Lv. "Analysis of heavy precipitation structure at different elevations in Sichuan region based on GPM satellite data." In Fourth International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2025), edited by Jinjian Wu and Juanle Wang. SPIE, 2025. https://doi.org/10.1117/12.3066727.

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Yang, DONGLIN, and Chu Meng. "Study on the influence mechanism of aerosol on extreme precipitation over China based on satellite remote sensing data." In Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), edited by Zhiliang Qin, Jun Chen, and Huaichun Wu. SPIE, 2025. https://doi.org/10.1117/12.3057832.

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Guo, Yanan, Xiaoqun Cao, and Mengge Zhou. "TransRain: a hybrid deep learning and image registration approach for accurate satellite precipitation estimation with ground-based validation." In Fourth International Conference on Computational Imaging (CITA 2024), edited by Xiaopeng Shao. SPIE, 2025. https://doi.org/10.1117/12.3055536.

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Das, Diya, Sandip Pal, Eric Bruning, and Brian Hirth. "Exploring Spatial Variability of Precipitation over the Semi-Arid Region of West Texas Using Ground Based and Satellite Remote Sensing Measurements Synergy." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641391.

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Chuancheng, Zhao, Yao Shuxia, Wang Jian, and Cui Jianbo. "Evaluation of satellite-based precipitation over Tianshan mountainous." In The International Conference on Remote Sensing,Environment and Transportation Engineering. Atlantis Press, 2013. http://dx.doi.org/10.2991/rsete.2013.232.

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Reports on the topic "Satellite-based precipitation"

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Ma, Po Lun, and Panagiotis Stinis. Developing a simulator-based satellite dataset for using machine learning techniques to derive aerosol-cloud-precipitation interactions in models and observations in a consistent framework. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1984697.

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Perrels, Adriaan, and Kaisa Juhanko. Socio-economic Benefits of the EPS Sterna constellation at high latitudes. Finnish Meteorological Institute, 2023. http://dx.doi.org/10.35614/isbn.9789523361836.

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This report presents a combined meteorological and economic study commissioned by EUMETSAT as part of the planning trajectory for the EPS-Sterna polar-orbiting satellite constellation. The focus of the study is on the foreseeable effects of EPS Sterna on meteorological forecasts and the resulting socioeconomic benefits, particularly regarding application at high latitudes, with emphasis on the Nordic countries. The study has an explorative character, hence the quantified estimates of benefits only indicate orders of magnitude for selected sectors. A more comprehensive assessment of expected be

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A flood early warning platform to enhance climate resilience in West Africa. UNESCO, 2024. http://dx.doi.org/10.54677/zypr3725.

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For many years, several countries of the West African region have been experiencing recurrent flood disasters triggering significant socio-economic impacts. According to the IPCC 6th Assessment Report, increases in heavy precipitation can lead to frequent floods for most African regions. Achieving and maintaining water security is particularly challenging under current climatic variability and projected climate change. Furthermore, challenges are exacerbated by the COVID-19 pandemic. To cope with these challenges, WADiRE-Africa prototyped a flood early warning platform and built cross-sectoral

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