Relevant bibliographies by topics / Satellite rainfall estimates

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Satellite rainfall estimates'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Satellite rainfall estimates"

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Shige, Shoichi, Satoshi Kida, Hiroki Ashiwake, Takuji Kubota, and Kazumasa Aonashi. "Improvement of TMI Rain Retrievals in Mountainous Areas." Journal of Applied Meteorology and Climatology 52, no. 1 (2013): 242–54. http://dx.doi.org/10.1175/jamc-d-12-074.1.

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AbstractHeavy rainfall associated with shallow orographic rainfall systems has been underestimated by passive microwave radiometer algorithms owing to weak ice scattering signatures. The authors improve the performance of estimates made using a passive microwave radiometer algorithm, the Global Satellite Mapping of Precipitation (GSMaP) algorithm, from data obtained by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) for orographic heavy rainfall. An orographic/nonorographic rainfall classification scheme is developed on the basis of orographically forced upward vertical m
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Itkin, M., and A. Loew. "Multi-satellite rainfall sampling error estimates – a comparative study." Hydrology and Earth System Sciences Discussions 9, no. 10 (2012): 11677–706. http://dx.doi.org/10.5194/hessd-9-11677-2012.

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Abstract. This study focus is set on quantifying sampling related uncertainty in the satellite rainfall estimates. We conduct observing system simulation experiment to estimate sampling error for various constellations of Low-Earth orbiting and geostationary satellites. There are two types of microwave instruments currently available: cross track sounders and conical scanners. We evaluate the differences in sampling uncertainty for various satellite constellations that carry instruments of the common type as well as in combination with geostationary observations. A precise orbital model is use
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Harsa, Hastuadi, Agus Buono, Rahmat Hidayat, et al. "Fine-tuning satellite-based rainfall estimates." IOP Conference Series: Earth and Environmental Science 149 (May 2018): 012047. http://dx.doi.org/10.1088/1755-1315/149/1/012047.

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Worqlul, A. W., B. Maathuis, A. A. Adem, S. S. Demissie, S. Langan, and T. S. Steenhuis. "Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground-observed data for the Lake Tana basin in Ethiopia." Hydrology and Earth System Sciences 18, no. 12 (2014): 4871–81. http://dx.doi.org/10.5194/hess-18-4871-2014.

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Abstract. Planning for drought relief and floods in developing countries is greatly hampered by the lack of a sufficiently dense network of weather stations measuring precipitation. In this paper, we test the utility of three satellite products to augment the ground-based precipitation measurement to provide improved spatial estimates of rainfall. The three products are the Tropical Rainfall Measuring Mission (TRMM) product (3B42), Multi-Sensor Precipitation Estimate–Geostationary (MPEG) and the Climate Forecast System Reanalysis (CFSR). The accuracy of the three products is tested in the Lake
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Dietrich, S., D. Casella, F. Di Paola, M. Formenton, A. Mugnai, and P. Sanò. "Lightning-based propagation of convective rain fields." Natural Hazards and Earth System Sciences 11, no. 5 (2011): 1571–81. http://dx.doi.org/10.5194/nhess-11-1571-2011.

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Abstract. This paper describes a new multi-sensor approach for continuously monitoring convective rain cells. It exploits lightning data from surface networks to propagate rain fields estimated from multi-frequency brightness temperature measurements taken by the AMSU/MHS microwave radiometers onboard NOAA/EUMETSAT low Earth orbiting operational satellites. Specifically, the method allows inferring the development (movement, morphology and intensity) of convective rain cells from the spatial and temporal distribution of lightning strokes following any observation by a satellite-borne microwave
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Chua, Zhi-Weng, Yuriy Kuleshov, and Andrew Watkins. "Evaluation of Satellite Precipitation Estimates over Australia." Remote Sensing 12, no. 4 (2020): 678. http://dx.doi.org/10.3390/rs12040678.

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This study evaluates the U.S. National Oceanographic and Atmospheric Administration’s (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Japan Aerospace Exploration Agency’s (JAXA) Global Satellite Mapping of Precipitation (GSMaP) satellite precipitation estimates over Australia across an 18 year period from 2001 to 2018. The evaluation was performed on a monthly time scale and used both point and gridded rain gauge data as the reference dataset. Overall statistics demonstrated that satellite precipitation estimates did exhibit skill over Australia and that gauge-blending yie
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Sahlu, Dejene, Semu A. Moges, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, and Dereje Hailu. "Evaluation of High-Resolution Multisatellite and Reanalysis Rainfall Products over East Africa." Advances in Meteorology 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/4957960.

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The performance of six satellite-based and three newly released reanalysis rainfall estimates are evaluated at daily time scale and spatial grid size of 0.25 degrees during the period of 2000 to 2013 over the Upper Blue Nile Basin, Ethiopia, with the view of improving the reliability of precipitation estimates of the wet (June to September) and secondary rainy (March to May) seasons. The study evaluated both adjusted and unadjusted satellite-based products of TMPA, CMORPH, PERSIANN, and ECMWF ERA-Interim reanalysis as well as Multi-Source Weighted-Ensemble Precipitation (MSWEP) estimates. Amon
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Areerachakul, Nathaporn, Jaya Kandasamy, Saravanamuthu Vigneswaran, and Kittitanapat Bandhonopparat. "Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand." Hydrology 12, no. 7 (2025): 163. https://doi.org/10.3390/hydrology12070163.

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This project aimed to evaluate the use of meteorological satellite-derived rainfall data to estimate water inflows to dams. In this study, the Lam Pao Dam in the Chi Basin, Thailand, was used as a case study. Rainfall data were obtained using the PERSIANN technique. To improve accuracy, satellite-derived rainfall estimates were adjusted using ground-based rainfall measurements from stations located near and within the catchment area, applying the 1-DVAR method. The Kriging method was employed to estimate the spatial distribution of rainfall over the catchment area. This approach resulted in a
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Le Coz, Camille, Arnold Heemink, Martin Verlaan, Marie-claire ten Veldhuis, and Nick van de Giesen. "Correcting Position Error in Precipitation Data Using Image Morphing." Remote Sensing 11, no. 21 (2019): 2557. http://dx.doi.org/10.3390/rs11212557.

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Rainfall estimates based on satellite data are subject to errors in the position of the rainfall events in addition to errors in their intensity. This is especially true for localized rainfall events such as the convective rainstorms that occur during the monsoon season in sub-Saharan Africa. Many satellite-based estimates use gauge information for bias correction. However, bias adjustment methods do not correct the position errors explicitly. We propose to gauge-adjust satellite-based estimates with respect to the position using a morphing method. Image morphing transforms an image, in our ca
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GAUTAM, NARAYAN PRASAD, SUSUMU FUJIOKA, and KAZUHIKO FUKAMI. "Analyzing the heavy rainfall event of July 2011 in Niigata using ground, satellite and radar rainfalls." MAUSAM 75, no. 4 (2024): 1117–24. http://dx.doi.org/10.54302/mausam.v75i4.3566.

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In recent years the application of radar and satellite precipitation observations has become increasingly useful in poorly gauged areas. However, understanding the relationships between these data sources and ground observations is vital to correct the datasets and improve their application in hydrological studies. In this study we analyzed the spatial and temporal relationships between Global Satellite Mapping of Precipitation-Near Real Time (GSMaP_NRT) data set with radar and ground observations at downstream of Shinano River, Japan. GSMap_NRT observation showed better relationship with grou
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Dissertations / Theses on the topic "Satellite rainfall estimates"

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Enbäck, Henrik, and Charlotta Eriksson. "Hybrid Rainfall Estimates from Satellite, Lightning and Ground Station Data in West Africa." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254757.

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Most of the working population in Ghana are farmers. It is of importance for them to know where and when precipitation will occur to prevent crop losses due to droughts and floodings. In order to have a sustainable agriculture, improved rainfall forecasts are needed. One way to do that is to enhance the initial conditions for the rainfall models. In the mid-latitudes, in-situ rainfall observations and radar data are used to monitor weather and measure rainfall. However, due to the lack of station data and the present absence of a radar network in West Africa, other rainfall estimates are neede
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Teo, Chee-Kiat. "Application of satellite-based rainfall estimates to crop yield forecasting in Africa." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434333.

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Greatrex, Helen. "The application of seasonal rainfall forecasts and satellite rainfall estimates to seasonal crop yield forcasting for Africa." Thesis, University of Reading, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578012.

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Rain-fed agriculture is extremely important in sub-Saharan Africa, thus the ability to forecast and monitor regional crop yields throughout the growing season would be of enormous benefit to decision makers. Of equal importance to be able to assign a measure of uncertainty to the forecast, especially considering that many predictions are made in the context of a complex climate and sparse meteorological and agricultural observations. This work investigates these issues in the context of an operational updating regional crop yield forecast, concentrating in particular on a case study forecastin
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Oliveira, Rômulo Augusto Jucá. "Characteristics and error modeling of GPM satellite rainfall estimates during CHUVA campaign in Brazil." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/05.22.17.16.

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Studies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling and natural hazard monitoring. Over regions of the globe that lack in situ observations, such studies are only possible through intensive field measurement campaigns, which provide a range of high quality ground measurements, e.g., CHUVA (Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and t
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Roy, Tirthankar, Hoshin V. Gupta, Aleix Serrat-Capdevila, and Juan B. Valdes. "Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model." COPERNICUS GESELLSCHAFT MBH, 2017. http://hdl.handle.net/10150/623239.

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Daily, quasi-global (50° N–S and 180° W–E), satellite-based estimates of actual evapotranspiration at 0.25° spatial resolution have recently become available, generated by the Global Land Evaporation Amsterdam Model (GLEAM). We investigate the use of these data to improve the performance of a simple lumped catchment-scale hydrologic model driven by satellite-based precipitation estimates to generate streamflow simulations for a poorly gauged basin in Africa. In one approach, we use GLEAM to constrain the evapotranspiration estimates generated by the model, thereby modifying daily water balance
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SHRESTHA, Mandira Singh. "Bias-Adjustment of Satellite-Based Rainfall Estimates over the Central Himalayas of Nepal for Flood Prediction." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/142254.

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Yilmaz, Koray Kamil. "Towards Improved Modeling for Hydrologic Predictions in Poorly Gauged Basins." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195252.

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In most regions of the world, and particularly in developing countries, the possibility and reliability of hydrologic predictions is severely limited, because conventional measurement networks (e.g. rain and stream gauges) are either nonexistent or sparsely located. This study, therefore, investigates various systems methods and newly available data acquisition techniques to evaluate their potential for improving hydrologic predictions in poorly gaged and ungaged watersheds.Part One of this study explores the utility of satellite-remote-sensing-based rainfall estimates for watershed-scale hydr
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Claggett, Seton Paul. "Evaluation of the Utility of Satellite Rainfall Estimates for Water Resource Applications using Sub-Basin Areal Averages and Pixel-to-Pixel Comparisons." Thesis, The University of Arizona, 2001. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0020_m_sip1_w.pdf&type=application/pdf.

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Cassé, Claire. "Impact du forçage pluviométrique sur les inondations du fleuve Niger à Niamey : Etude à partir de données satellitaires et in-situ." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30236/document.

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Depuis le développement des mesures satellites de nombreuses missions spatiales sont dédiées au suivi de l'atmosphère et de la surface terrestre. Ces travaux de thèse s'inscrivent dans le cadre de la mission Megha-Tropiques dédiée au cycle de l'eau et de l'énergie en zone tropicale. L'objectif est d'évaluer le potentiel des estimations de précipitation par satellite pour des applications hydrologiques en zone tropicale. Les Tropiques réunissent les plus grands fleuves du globe, mais ne bénéficient pas de réseaux d'observation in-situ denses et continus permettant une gestion intégrée efficace
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Saw, Bun Liong. "Infrared and passive microwave satellite rainfall estimate over tropics." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4267.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (December 19, 2006) Includes bibliographical references.
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Books on the topic "Satellite rainfall estimates"

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author, Rajbhandari Rupak, Bajracharya Sagar R. author, and International Centre for Integrated Mountain Development, eds. Validation of NOAA CPC_RFE satellite-based rainfall estimates in the Central Himalayas. International Centre for Integrated Mountain Development, 2013.

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Xie, Juying. Satellite-derived rainfall estimates and propagation characteristics associated with mesoscale convective systems (MCSs). U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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Xie, Juying. Satellite-derived rainfall estimates and propagation characteristics associated with mesoscale convective systems (MCSs). U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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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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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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Barrett, Eric C. Satellite rainfall estimates for the western Sahel. Remote Sensing Unit, University of Bristol, 1987.

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Book chapters on the topic "Satellite rainfall estimates"

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Tarnavsky, Elena, and Rogerio Bonifacio. "Drought Risk Management Using Satellite-Based Rainfall Estimates." In Advances in Global Change Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35798-6_28.

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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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Reynolds, Curt A. "Real-Time Hydrology Operations at USDA for Monitoring Global Soil Moisture and Auditing National Crop Yield Estimates." In Satellite Rainfall Applications for Surface Hydrology. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2915-7_16.

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Dinku, Tufa. "The Value of Satellite Rainfall Estimates in Agriculture and Food Security." In Advances in Global Change Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35798-6_32.

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Dugdale, George. "Satellite Derived Rainfall Estimates Over Africa: Their Validation and Use in Monitoring Climate Change." In Global Precipitations and Climate Change. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79268-7_17.

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Dinku, Tufa, Stephen Connor, and Pietro Ceccato. "Evaluation of Satellite Rainfall Estimates and Gridded Gauge Products over the Upper Blue Nile Region." In Nile River Basin. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0689-7_5.

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Dessu, Shimelis Behailu, and Assefa M. Melesse. "Evaluation and Comparison of Satellite and GCM Rainfall Estimates for the Mara River Basin, Kenya/Tanzania." In The Handbook of Environmental Chemistry. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/698_2013_219.

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Meneghello, Géri Eduardo, Letícia Burkert Méllo, Ritâ De Cassia Fraga Damé, et al. "Comparison Between Estimated Rainfall Estimated by the Tropical Rainfall Measuring Mission (TRMM) Satellite and Data Observed in the Lagoa Mirim/RS Basin, Brazil." In INCREaSE 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30938-1_8.

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Kumar, Amit, Anil Kumar Singh, Nitesh Awasthi, and Virendra Singh. "Natural Hazard." In Interdisciplinary Approaches to Information Systems and Software Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7784-3.ch006.

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Tropical cyclones are also known as typhoons or hurricanes. Also, special emphasis is given on the various aspects associated with cyclogenesis, like the six essential parameters required for cyclogenesis as given by W. M. Grey, and Dvorak technique is discussed in this chapter. INSAT-3D is an indigenous advanced dedicated meteorological satellite in geostationary orbit, which was launched on 26th July 2013. INSAT-3D was declared operational by IMD on 15th January 2014. INSAT-3D has four payloads, namely. IMAGER, SOUNDER, data relay transponder (DRT), and satellite aided search, aid and rescue
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N.L. Lamptey, Patrick, Kwaku Amaning Adjei, Charles Gyamfi, Abigail Agyei Yeboah, Caroline Edinam Doe, and Stephen Aboagye-Ntow. "Perspective Chapter: Validation of SMOS Satellite Soil Moisture Estimates Using Capacitance Probes over the Different Ecological Zones in Northern Ghana." In Soil Moisture [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109696.

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Researchers assessed the performance of L2 satellite soil moisture estimates from the European Space Agency’s SMOS satellite using in-situ data from capacitance SM probes. The in-situ measurements are from monitoring stations (at 10, 20, 30 cm depth) at two sites, Yendi and Jirapa in the Northern part of Ghana, West Africa. They are in two different sub-ecological zones of the Savanna in the North of Ghana. These sub-ecological zones are Western Sudan Savanna (Jirapa) and Open Guinea Savanna (Yendi). The correlation between SMOS SM estimates and the in-situ measurements was observed to improve
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Conference papers on the topic "Satellite rainfall estimates"

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Suraweera, Buddhi, Kasun De Silva, Luminda Gunawardhana, and Lalith Rajapakse. "Evaluation of Satellite Rainfall Estimates for Surface Runoff Modelling in the Maha Oya Basin, Sri Lanka." In 2024 Moratuwa Engineering Research Conference (MERCon). IEEE, 2024. http://dx.doi.org/10.1109/mercon63886.2024.10689062.

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Nitcheva, Olga. "PRIMARY STUDIES FOR THE PRESENCE OF OFFSHORE FRESHENED GROUNDWATER IN THE BULGARIAN BLACK SEA SHELF." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s12.20.

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The groundwaters draining in the continental shelf area can be an unconventional resource of fresh water for drinking, irrigation, and industrial purposes in water-scarce coastal areas. Recently, possible offshore sources of such groundwater in the coastal zone have been subject of increased investigation and description. The aim of the present research is to identify similar, available for use, potential sources of Offshore Frehsened Groundwater (OFG) in the area of the shelf of the Northern part of the Bulgarian Black Sea coast. In the watershed of this region, which has the least rainfall i
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Kuligowski, Robert J. "Satellite rainfall estimates for global flood monitoring and prediction." In Asia-Pacific Remote Sensing Symposium, edited by Felix Kogan, Shahid Habib, V. S. Hegde, and Masashi Matsuoka. SPIE, 2006. http://dx.doi.org/10.1117/12.694170.

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Meskele, Tadesse, and Hamid Moradkhani. "Impacts of Different Rainfall Estimates on Hydrological Simulation and Satellite Rainfall Retrieval Error Propagation." In World Environmental and Water Resources Congress 2009. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41036(342)619.

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Hassani, Farhad, Afshin Shayeghi Moghanlou, Javad Teymoori, and Aydin Bakhtar. "How Reliable Are Satellite Rainfall Estimates across Complex Topo-Climatic Regions?" In World Environmental and Water Resources Congress 2024. American Society of Civil Engineers, 2024. http://dx.doi.org/10.1061/9780784485477.137.

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Rossi, Mauro, Dalia Kirschbaum, Silvia Luciani, Alessandro C. Mondini, and Fausto Guzzetti. "TRMM satellite rainfall estimates for landslide early warning in Italy: preliminary results." In SPIE Asia-Pacific Remote Sensing, edited by Tadahiro Hayasaka, Kenji Nakamura, and Eastwood Im. SPIE, 2012. http://dx.doi.org/10.1117/12.979672.

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Louise, Leroux, Baron Christian, Lo Seen Danny, Begue Agnes, and B. Traore Seydou. "Testing satellite rainfall estimates for yield simulation of a rainfed cereal in West Africa." In 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp). IEEE, 2015. http://dx.doi.org/10.1109/multi-temp.2015.7245770.

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Lu, Hui, Wei Wang, Fuqiang Tian, and Kun Yang. "Improving satellite rainfall estimates over Tibetan plateau using in situ soil moisture observation and SMAP retrievals." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127375.

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ASENCIOS-ASTORAYME, HENRY, EUSEBIO INGOL-BLANCO, and ABEL MEJÍA-MARCACUZCO. "EFFECTS OF BIAS CORRECTION OF DAILY SATELLITE-BASED RAINFALL ESTIMATES ON REAL-TIME MONITORING AND HYDROLOGICAL FORECASTING AT THE RIMAC RIVER WATERSHED, PERU." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1534.

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Perera, Helani, Miyuru Gunathilake, and Upaka Rathnayake. "Satellite Rainfall Products for analysis of Rainfall trends for Mahaweli River Basin." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/zzug8067.

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The presence of accurate and spatiotemporal data is of utmost importance in hydrological studies for river basins. However, limited ground-measured rainfall data restrict the accuracy of these analyses. Data scarcities can often be seen not only in many developing countries but also in the developed world. Therefore, much attention is given to alternative techniques to accomplish the data requirement. Precipitation data extraction from satellite precipitation products is one of the frequently used techniques in the absence of ground-measured rainfall data. The Mahaweli River Basin (MRB) is the
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Reports on the topic "Satellite rainfall estimates"

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Shrestha, M. S., R. Rajbhandari, and S. R. Bajracharya. Validation of NOAA CPC_RFE2.0 Satellite-based Rainfall Estimates in the Central Himalayas; Working Paper 2013/5. International Centre for Integrated Mountain Development (ICIMOD), 2013. http://dx.doi.org/10.53055/icimod.585.

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Shrestha, M. S., R. Rajbhandari, and S. R. Bajracharya. Validation of NOAA CPC_RFE2.0 Satellite-based Rainfall Estimates in the Central Himalayas; Working Paper 2013/5. International Centre for Integrated Mountain Development (ICIMOD), 2013. http://dx.doi.org/10.53055/icimod.585.

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Shirzaei, Manoochehr, Nitheshnirmal Sadhasivam, Susanna Werth, et al. Helene disaster: The threat of poor management and climate change to human lives and assets. United Nations University Institute for Water, Environment and Health (UNU INWEH), 2024. http://dx.doi.org/10.53328/inr24msir001.

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Abstract:
On September 26, 2024, Hurricane Helene, a record-breaking Category 4 storm, made landfall in Florida's Big Bend region before shifting northwest, bringing heavy rainfall and severe impacts to Georgia, South Carolina, North Carolina, Virginia and Tennessee in the United States. Satellite radar data acquired over seven cities in these four U.S. states indicate over 31,000 buildings were damaged due to the Hurricane. Based on Zillow Home Value Index, estimated value of threatened property is near $12.5 billion. Hurricane Helene is an example of the confluence of multiple factors, including devel
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