Download or read book Improving High resolution IR Satellite based Precipitation Estimation a Procedure for Cloud top Relief Displacement Adjustment PHD written by Shayesteh Esmaelili-Mahani and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Improved Global High Resolution Precipitation Estimation Using Multi satellite Multi spectral Information written by Ali Behrangi and published by . This book was released on 2009 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: In respond to the community demands, combining microwave (MW) and infrared (IR) estimates of precipitation has been an active area of research since past two decades. The anticipated launching of NASA's Global Precipitation Measurement (GPM) mission and the increasing number of spectral bands in recently launched geostationary platforms will provide greater opportunities for investigating new approaches to combine multi-source information towards improved global high resolution precipitation retrievals. After years of the communities' efforts the limitations of the existing techniques are: (1) Drawbacks of IR-only techniques to capture warm rainfall and screen out no-rain thin cirrus clouds; (2) Grid-box- only dependency of many algorithms with not much effort to capture the cloud textures whether in local or cloud patch scale; (3) Assumption of indirect relationship between rain rate and cloud-top temperature that force high intensity precipitation to any cold cloud; (4) Neglecting the dynamics and evolution of cloud in time; (5) Inconsistent combination of MW and IR-based precipitation estimations due to the combination strategies and as a result of above described shortcomings. This PhD dissertation attempts to improve the combination of data from Geostationary Earth Orbit (GEO) and Low-Earth Orbit (LEO) satellites in manners that will allow consistent high resolution integration of the more accurate precipitation estimates, xxii directly observed through LEO's PMW sensors, into the short-term cloud evolution process, which can be inferred from GEO images. A set of novel approaches are introduced to cope with the listed limitations and is consist of the following four consecutive components: (1) starting with the GEO part and by using an artificial-neural network based method it is demonstrated that inclusion of multi-spectral data can ameliorate existing problems associated with IR-only precipitating retrievals; (2) through development of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network - Multi-Spectral Analysis (PERSIANN-MSA) the effectiveness of using multi-spectral data for precipitation estimation are examined. In comparison to the use of a single thermal infrared channel, using multi-spectral data has a potential to significantly improve rain detection and estimation skills; (3) a method proposed to integrate the previously developed cloud classification system (PERSIANN CCS) with PERSIANN-MSA. Through the integration, PERSIANN-MSA benefits from both cloud-patch classification capability as well as multi-spectral information to culminate the GEO-based precipitation estimation techniques; (4) finally, a new combination technique that incorporates multi-sensor information is developed. The technique is called REFAME, short for Rain Estimation using Forward Adjusted advection of Microwave Estimates. REFAME allows more consistent integration of MW VIS/IR information through hybrid advection and adjustment of MW precipitation rate along cloud motion streamlines obtained from a 2D cloud tracking algorithm using successive GEO/IR images. Evaluated over a range of spatial and temporal scales it is demonstrated that REFAME is a robust technique for real-time high resolution precipitation estimation using multi-satellite information.

Download or read book Improving Infrared Based Precipitation Retrieval Algorithms Using Multi Spectral Satellite Imagery written by Nasrin Nasrollahi and published by Springer. This book was released on 2014-11-07 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space. Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved. The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2000 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Satellite Rainfall Applications for Surface Hydrology written by Mekonnen Gebremichael and published by Springer Science & Business Media. This book was released on 2009-12-02 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions from a panel of researchers from a wide range of fields, the chapters of this book focus on evaluating the potential, utility and application of high resolution satellite precipitation products in relation to surface hydrology.

Download or read book Improving Warm Rainfall Detection and Rainfall Estimation of a Multiple Satellite based Rainfall Retrieval Algorithm written by Negar Karbalaee and published by . This book was released on 2017 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precipitation as an essential component of the hydrologic cycle has a great importance to be measured accurately due to various applications such as hydrologic modeling, extreme weather analysis, and water resources management. Among different methods, meteorological satellites are one of the instruments that are widely used for precipitation estimation in fine spatial and temporal resolution. Precipitation Estimation from Remotely Sensed Imagery using Artificial Neural Network Cloud Classification System (PERSIANN-CCS) uses infrared (IR) data from Geostationary Earth Orbit (GEO) satellites to retrieve precipitation based on relationship between clout top temperature (Tb) and rainfall rate (RR) using a neural network technique. The complexity of Tb-RR relationship for estimating precipitation causes uncertainty in PERSIANN-CCS rainfall product. This research is focused on improving PERSIANN-CCS rainfall retrieval using several approaches:1) Bias adjustment of PERSIANN-CCS rainfall estimates using PMW satellite rainfall data: Using multi satellite data can enhance the quality of rainfall estimation considerably; in this research we have combined the rainfall data from PERSIANN-CCS and PMW rainfall to enhance the bias of PERSIANN-CCS precipitation estimates. The results showed improvement of rainfall estimation during summer and winter time.2) Increasing the rainfall detection by including warm clouds rainfall: PERSIANN-CCS currently cannot detect rainfall from clouds with temperature warmer than 253 K. This study explores the impacts of increasing the temperature threshold on precipitation estimation. The results show that increasing the threshold level can improve the PERSIANN-CCS rainfall detection.3) Generating a probabilistic framework for precipitation retrieval: The current version of PERSIANN-CCS retrieves precipitation based on the exponential function fitted to Tb-RR. The major assumption behind this relationship is that the heavier rainfalls are associated with colder clouds which cause underestimation of warmer clouds and overestimation of colder clouds rainfall. The probabilistic approach uses the corresponding sample relationship between cloud temperature and rainfall rate. The model is evaluated during a full summer season which showed improvement in both detection and estimation of rainfall in compare with the current PERSIANN-CCS algorithm.

Download or read book Using NWP Analysis in Satellite Rainfall Estimation of Heavy Precipitation Events Over Complex Terrain written by Xinxuan Zhang and published by . This book was released on 2012 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Precipitation from Space written by V. Levizzani and published by Springer Science & Business Media. This book was released on 2007-05-11 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: No other book can offer such a powerful tool to understand the basics of remote sensing for precipitation, to make use of existing products and to have a glimpse of the near future missions and instruments. This book features state-of-the-art rainfall estimation algorithms, validation strategies, and precipitation modeling. More than 20 years after the last book on the subject the worldwide precipitation community has produced a comprehensive overview of its activities, achievements, ongoing research and future plans.

Download or read book Toward Improved Understanding of Global Precipitation Variations Using Satellite based Observations written by Hamed Ashouri Talouki and published by . This book was released on 2014 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precipitation is one of the key elements of the Earth's water cycle. Long-term precipitation observations in global scale and at high spatial and temporal resolutions are imperative for understanding how global warming has affected our climate system, particularly in terms of changes in the characteristics of precipitation. This dissertation contributes to the advancement of our understanding of the water cycle by 1) development of a new long-term high-resolution satellite-based precipitation product to be used for different hydrological and climate studies at a higher spatial and temporal resolution than previously possible, and 2) presenting a probabilistic framework to study the observed variations, trends and changes in global precipitation, particularly extreme precipitation events, in the course of time. In the first part of the dissertation, using the Geostationary Earth Orbit (GEO) satellites Infrared (IR) channel observations of the brightness temperature of the cloud, and the Global Precipitation Climatology Project (GPCP) monthly product, a retrospective high-resolution (daily, 25km) satellite-based precipitation climate data record is developed and introduced. The product, namely Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record (PERSIANN-CDR), provides more than 30 years of global rainfall estimates from 01/01/1983 to delayed present covering the latitude band 60℗ʻS-60℗ʻN and longitude band 0℗ʻ-360℗ʻ. The results from a number of different verification studies (Hurricane Katrina, 1986 Sydney flood, precipitation probability density function, extreme precipitation indices, rainfall-runoff modeling) over different regions (U.S., Australia, China) are presented and are encouraging. In the second part, a non-stationary probabilistic framework based on Extreme Value Theory (EVT) is developed to assess potential footprints of climate change on characteristics (intensity and frequency) of extreme precipitation events. The main goal was to investigate if there have been statistically significant changes and trends in the Probability Distribution Function (PDF) of precipitation extremes over time. The proposed probabilistic scheme which is based on Generalized Extreme Value (GEV) and Generalized Pareto (GP) distributions proved to be effective in stochastically modeling the behavior of precipitation extremes over the past three decades. The statistically significant trends in the time-variant GEV distribution are tested over the U.S. The results show that Eastern and particularly the Northeastern parts of the U.S. are experiencing positive trends in the intensity and frequency of extreme precipitation events.

Download or read book A Comparison of Infrared Imagery and Video Pictures in the Estimation of Daily Rainfall from Satellite Data written by Walton A. Follansbee and published by . This book was released on 1975 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Improving Quantitative Precipitation Estimation in Complex Terrain Using Cloud to Ground Lightning Data written by Carlos Manuel Minjarez-Sosa and published by . This book was released on 2013 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thunderstorms that occur in areas of complex terrain are a major severe weather hazard in the intermountain western U.S. Short-term quantitative estimation (QPE) of precipitation in complex terrain is a pressing need to better forecast flash flooding. Currently available techniques for QPE, that utilize a combination of rain gauge and weather radar information, may underestimate precipitation in areas where gauges do not exist or there is radar beam blockage. These are typically very mountainous and remote areas, that are quite vulnerable to flash flooding because of the steep topography. Lightning has been one of the novel ways suggested by the scientific community as an alternative to estimate precipitation over regions that experience convective precipitation, especially those continental areas with complex topography where the precipitation sensor measurements are scarce. This dissertation investigates the relationship between cloud-to-ground lightning and precipitation associated with convection with the purpose of estimating precipitation- mainly over areas of complex terrain which have precipitation sensor coverage problems (e.g. Southern Arizona). The results of this research are presented in two papers. The first, entitled Toward Development of Improved QPE in Complex Terrain Using Cloud-to-Ground Lighting Data: A case Study for the 2005 Monsoon in Southern Arizona, was published in the Journal of Hydrometeorology in December 2012. This initial study explores the relationship between cloud-to-ground lightning occurrences and multi-sensor gridded precipitation over southern Arizona. QPE is performed using a least squares approach for several time resolutions (seasonal -June, July and August-, 24 hourly and hourly) and for a 8 km grid size. The paper also presents problems that arise when the time resolution is increased, such as the spatial misplacing of discrete lightning events with gridded precipitation and the need to define a "diurnal day" that is synchronized with the diurnal cycle of convection. The second manuscript (unpublished), entitled An Improved QPE Over Complex Terrain by Using Cloud-to-Ground Lightning Occurrences, provides a new method to retrieve lightning-derived precipitation at 5 minutes and 5 Km time and space resolutions. A stationary model that employs spatio-temporal neighboring (Space and Time Invariant model -STI) improves upon the least squares method in the first paper. By applying a Kalman filter to the STI model, lightning-precipitation is retrieved by a dynamic model that changes in time. The results for seasonal and 5 minutes time resolution show that the dynamic model improves the retrievals derived by the STI model.

Download or read book Rainfall Estimation from Geosynchronous Satellite Imagery During Daylight Hours written by and published by . This book was released on 1976 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Evaluation of High resolution Satellite Precipitation Products in Hydrologic Simulations of Northern Latitude River Basins written by Muhammet Omer Dis and published by . This book was released on 2015 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Performance Assessment of Satellite Rainfall Products for Hydrologic Modeling written by Hojjat Seyyedi and published by . This book was released on 2014 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Satellite Precipitation Measurement written by Vincenzo Levizzani and published by Springer Nature. This book was released on 2020-04-10 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a complete overview of the measurement of precipitation from space, which has made considerable advancements during the last two decades. This is mainly due to the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) mission, CloudSat and a carefully maintained constellation of satellites hosting passive microwave sensors. The book revisits a previous book, Measuring Precipitation from Space, edited by V. Levizzani, P. Bauer and F. J. Turk, published with Springer in 2007. The current content has been completely renewed to incorporate the advancements of science and technology in the field since then. This book provides unique contributions from field experts and from the International Precipitation Working Group (IPWG). The book will be of interest to meteorologists, hydrologists, climatologists, water management authorities, students at various levels and many other parties interested in making use of satellite precipitation data sets. Chapter “TAMSAT” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Download or read book Numerical Weather Model Based Adjustment of Satellite Precipitation Products and Hydrologic Evaluations written by Xinxuan Zhang and published by . This book was released on 2018 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quantification of heavy precipitation events over mountainous regions has been a challenge for all types of satellite precipitation products. This research developed a numerical weather model-based adjustment technique to correct satellite precipitation estimates for HPEs. To successfully apply the technique, there are two prerequisites: i) the raw satellite data captures the relative spatial and temporal variabilities of precipitation (id est no significant surface contamination effects on satellite precipitation detection), and ii) the model provides relatively accurate precipitation outputs in terms of overall magnitude (not necessarily location). The technique was demonstrated over mountainous areas all over the world representing varying terrain complexity and climatic conditions. Results show that model-based adjustment outperforms, or at least is comparable to, the gauge-based adjustment for all high-resolution satellite products examined. In addition, the model-based adjustment requires no in situ observations and much less processing time. The results are promising for future satellite precipitation applications over mountainous areas lacking ground observations. Furthermore, the model-adjusted satellite products were used in a distributed hydrological model to evaluate the error propagation on flood simulations. Results showed that the basin outlet runoff derived from model-adjusted satellite precipitation was comparable to the one with gauge-adjusted satellite precipitation, and both of them outperformed the runoff derived from raw satellite.

Download or read book Satellite Precipitation Measurement written by Vincenzo Levizzani and published by Springer Nature. This book was released on 2020-04-14 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a complete overview of the measurement of precipitation from space, which has made considerable advancements during the last two decades. This is mainly due to the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) mission, CloudSat and a carefully maintained constellation of satellites hosting passive microwave sensors. The book revisits a previous book, Measuring Precipitation from Space, edited by V. Levizzani, P. Bauer and F. J. Turk, published with Springer in 2007. The current content has been completely renewed to incorporate the advancements of science and technology in the field since then. This book provides unique contributions from field experts and from the International Precipitation Working Group (IPWG). The book will be of interest to meteorologists, hydrologists, climatologists, water management authorities, students at various levels and many other parties interested in making use of satellite precipitation data sets.