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  • 1
    Online Resource
    Online Resource
    Satellite Precipitation Measurement : Volume 1 (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Atmospheric science. ; Water. ; Hydrology. ; Climatology. ; Measurement. ; Measuring instruments. ; Atmospheric Science. ; Water. ; Climate Sciences. ; Measurement Science and Instrumentation.
    Description / Table of Contents: SECTION 1 Status of Observations and Satellite Programs: Chapter 1. The Global Precipitation Measurement (GPM) mission -- Chapter 2. Status of the CloudSat mission -- Chapter 3. The Megha-Tropiques mission after seven years in space -- Chapter 4. Microwave sensors, imagers and sounders -- Chapter 5. Microwave and sub-mm wave sensors: A European perspective -- Chapter 6. Plans for future missions -- SECTION 2 Retrieval Techniques, Algorithms and Sensors: Chapter 7. Introduction to passive microwave retrieval methods -- Chapter 8. The Goddard Profiling (GPROF) precipitation retrieval algorithm -- Chapter 9. Precipitation estimation from the Microwave Integrated Retrieval System (MiRS) -- Chapter 10. Introduction to radar rain retrieval methods -- Chapter 11. Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurements (GPM) mission’s Core Observatory -- Chapter 12. DPR dual-frequency precipitation classification -- Chapter 13. Triple-frequency radar retrievals -- Chapter 14. Precipitation retrievals from satellite combined radar and radiometer observations -- Chapter 15. Scattering of hydrometeors -- Chapter 16. Radar snowfall measurement -- Chapter 17. A 1DVar-based snowfall rate algorithm for passive microwave radiometers -- Chapter 18. X-band synthetic aperture radar methods -- SECTION 3 Merged Precipitation Products: Chapter 19. Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (GPM) mission (IMERG) -- Chapter 20. Global Satellite Mapping of Precipitation (GSMaP) products in the GPM era -- Chapter 21. Improving PERSIANN-CCS using passive microwave rainfall estimation -- Chapter 22. TAMSAT -- Chapter 23. Algorithm and data improvements for version 2.1 of the Climate Hazards Center’s Infrared Precipitation with Stations Data Set -- Chapter 24. Merging the infrared fleet and the microwave constellation for tropical hydrometeorology (TAPEER) and global climate monitoring (GIRAFE) applications -- SECTION 4 Validation: Chapter 25. The IPWG satellite precipitation validation effort -- Chapter 26. The GPM Ground Validation Program -- Chapter 27. The GPM DPR Validation Program -- Chapter 28. Error and uncertainty characterization -- Chapter 29. Multiscale evaluation of satellite precipitation products: Effective resolution of IMERG -- Chapter 30. Remote sensing of orographic precipitation -- Chapter 31. Integrated multi-satellite evaluation for the Global Precipitation Measurement: Impact of precipitation types on spaceborne precipitation estimation -- Chapter 32. Hydrologic validation and flood analysis -- Chapter 33. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling -- Chapter 34. OceanRAIN – The global ocean surface-reference dataset for characterization, validation and evaluation of the water cycle -- SECTION 5 Observed Characteristics of Precipitation: Chapter 35. GPCP and the global characteristics of precipitation -- Chapter 36. Global snowfall detection and measurement -- Chapter 37. Snowfall detection by spaceborne radars -- Chapter 38. On the duration and lifecyle of precipitation systems in the tropics -- Chapter 39. Observational characteristics of warm-type heavy rainfall -- Chapter 40. Satellite precipitation measurement and extreme rainfall -- Chapter 41. Rainfall trends in East Africa from an ensemble of IR-based satellite products -- Chapter 42. Heavy precipitation systems in the Mediterranean area: The role of GPM -- Chapter 43. Dryland precipitation climatology from satellite observations -- Chapter 44. Haifall detection -- Chapter 45. Improving high-latitude and cold region precipitation analysis -- Chapter 46. Latent heating retrievals from satellite observations -- SECTION 6 Applications: Chapter 47. Operational applications of Global Precipitation Measurement observations -- Chapter 48. Assimilation of precipitation observations from space into numerical weather prediction (NWP) -- Chapter 49. Precipitation ensemble data assimilation in NWP models -- Chapter 50. PERSIANN-CDR for hydrology and hydro-climatic applications -- Chapter 51. Soil moisture and precipitation: The SM2RAIN algorithm for rainfall retrieval from satellite soil moisture -- Chapter 52. Drought risk management using satellite-based rainfall estimates -- Chapter 53. Two decades of urban hydroclimatological studies have yielded discovery and societal benefits -- Chapter 54. Validation of climate models -- Chapter 55. Extreme precipitation in the Himalayan landslide hotspot -- Chapter 56. The value of satellite rainfall estimates in agriculture and food security -- Chapter 57. Using satellite estimates of precipitation for fire danger rating -- Chapter 58. Variability of satellite sea surface salinity under rainfall.
    Abstract: 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.
    Type of Medium: Online Resource
    Pages: LXXI, 450 p. 108 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030245689
    Series Statement: Advances in Global Change Research, 67
    URL: https://doi.org/10.1007/978-3-030-24568-9
    DOI: 10.1007/978-3-030-24568-9
    DDC: 551.5
    Language: English
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  • 2
    Online Resource
    Online Resource
    Satellite Precipitation Measurement : Volume 2 (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Atmospheric science. ; Climatology. ; Measurement. ; Measuring instruments. ; Water. ; Hydrology. ; Atmospheric Science. ; Climate Sciences. ; Measurement Science and Instrumentation. ; Water.
    Description / Table of Contents: SECTION 4 Validation: Chapter 25. The IPWG satellite precipitation validation effort -- Chapter 26. The GPM Ground Validation Program -- Chapter 27. The GPM DPR Validation Program -- Chapter 28. Error and uncertainty characterization -- Chapter 29. Multiscale evaluation of satellite precipitation products: Effective resolution of IMERG -- Chapter 30. Remote sensing of orographic precipitation -- Chapter 31. Integrated multi-satellite evaluation for the Global Precipitation Measurement: Impact of precipitation types on spaceborne precipitation estimation -- Chapter 32. Hydrologic validation and flood analysis -- Chapter 33. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling -- Chapter 34. OceanRAIN – The global ocean surface-reference dataset for characterization, validation and evaluation of the water cycle -- SECTION 5 Observed Characteristics of Precipitation: Chapter 35. GPCP and the global characteristics of precipitation -- Chapter 36. Global snowfall detection and measurement -- Chapter 37. Snowfall detection by spaceborne radars -- Chapter 38. On the duration and lifecyle of precipitation systems in the tropics -- Chapter 39. Observational characteristics of warm-type heavy rainfall -- Chapter 40. Satellite precipitation measurement and extreme rainfall -- Chapter 41. Rainfall trends in East Africa from an ensemble of IR-based satellite products -- Chapter 42. Heavy precipitation systems in the Mediterranean area: The role of GPM -- Chapter 43. Dryland precipitation climatology from satellite observations -- Chapter 44. Haifall detection -- Chapter 45. Improving high-latitude and cold region precipitation analysis -- Chapter 46. Latent heating retrievals from satellite observations -- SECTION 6 Applications: Chapter 47. Operational applications of Global Precipitation Measurement observations -- Chapter 48. Assimilation of precipitation observations from space into numerical weather prediction (NWP) -- Chapter 49. Precipitation ensemble data assimilation in NWP models -- Chapter 50. PERSIANN-CDR for hydrology and hydro-climatic applications -- Chapter 51. Soil moisture and precipitation: The SM2RAIN algorithm for rainfall retrieval from satellite soil moisture -- Chapter 52. Drought risk management using satellite-based rainfall estimates -- Chapter 53. Two decades of urban hydroclimatological studies have yielded discovery and societal benefits -- Chapter 54. Validation of climate models -- Chapter 55. Extreme precipitation in the Himalayan landslide hotspot -- Chapter 56. The value of satellite rainfall estimates in agriculture and food security -- Chapter 57. Using satellite estimates of precipitation for fire danger rating -- Chapter 58. Variability of satellite sea surface salinity under rainfall.
    Abstract: 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.
    Type of Medium: Online Resource
    Pages: XCIII, 725 p. 300 illus., 251 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030357986
    Series Statement: Advances in Global Change Research, 69
    URL: https://doi.org/10.1007/978-3-030-35798-6
    DOI: 10.1007/978-3-030-35798-6
    DDC: 551.5
    Language: English
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  • 3
    Monograph available for loan
    Monograph available for loan
    Satellite Precipitation Measurement; Volume 2 (2020)
    Cham : Springer
    Associated volumes
    Details Availability
    Call number: M 20.93963
    In: Advances in global change research, Volume 69
    Description / Table of Contents: 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.
    Type of Medium: Monograph available for loan
    Pages: xciii, 453-1176 Seiten , Illustrationen
    ISBN: 9783030357986
    Series Statement: Advances in Global Change Research 69
    DOI: 10.1007/978-3-030-35798-6
    Language: English
    Note: SECTION 4 Validation: Chapter 25. The IPWG satellite precipitation validation effort -- Chapter 26. The GPM Ground Validation Program -- Chapter 27. The GPM DPR Validation Program -- Chapter 28. Error and uncertainty characterization -- Chapter 29. Multiscale evaluation of satellite precipitation products: Effective resolution of IMERG -- Chapter 30. Remote sensing of orographic precipitation -- Chapter 31. Integrated multi-satellite evaluation for the Global Precipitation Measurement: Impact of precipitation types on spaceborne precipitation estimation -- Chapter 32. Hydrologic validation and flood analysis -- Chapter 33. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling -- Chapter 34. OceanRAIN – The global ocean surface-reference dataset for characterization, validation and evaluation of the water cycle -- SECTION 5 Observed Characteristics of Precipitation: Chapter 35. GPCP and the global characteristics of precipitation -- Chapter 36. Global snowfall detection and measurement -- Chapter 37. Snowfall detection by spaceborne radars -- Chapter 38. On the duration and lifecyle of precipitation systems in the tropics -- Chapter 39. Observational characteristics of warm-type heavy rainfall -- Chapter 40. Satellite precipitation measurement and extreme rainfall -- Chapter 41. Rainfall trends in East Africa from an ensemble of IR-based satellite products -- Chapter 42. Heavy precipitation systems in the Mediterranean area: The role of GPM -- Chapter 43. Dryland precipitation climatology from satellite observations -- Chapter 44. Haifall detection -- Chapter 45. Improving high-latitude and cold region precipitation analysis -- Chapter 46. Latent heating retrievals from satellite observations -- SECTION 6 Applications: Chapter 47. Operational applications of Global Precipitation Measurement observations -- Chapter 48. Assimilation of precipitation observations from space into numerical weather prediction (NWP) -- Chapter 49. Precipitation ensemble data assimilation in NWP models -- Chapter 50. PERSIANN-CDR for hydrology and hydro-climatic applications -- Chapter 51. Soil moisture and precipitation: The SM2RAIN algorithm for rainfall retrieval from satellite soil moisture -- Chapter 52. Drought risk management using satellite-based rainfall estimates -- Chapter 53. Two decades of urban hydroclimatological studies have yielded discovery and societal benefits -- Chapter 54. Validation of climate models -- Chapter 55. Extreme precipitation in the Himalayan landslide hotspot -- Chapter 56. The value of satellite rainfall estimates in agriculture and food security -- Chapter 57. Using satellite estimates of precipitation for fire danger rating -- Chapter 58. Variability of satellite sea surface salinity under rainfall.
    Branch Library: GFZ Library
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  • 4
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    Estimating Nonraining Surface Parameters to Assist GPM Constellation Radiometer Precipitation Algorithms (2016)
    American Meteorological Society
    Details
    Publication Date: 2016-06-22
    Description: The joint National Aeronautics and Space Administration (NASA) and Japanese Aerospace Exploration Agency (JAXA) Global Precipitation Measurement (GPM) is a constellation mission, centered upon observations from the core satellite dual-frequency precipitation radar (DPR) and its companion passive microwave (MW) GPM Microwave Imager (GMI). One of the key challenges for GPM is how to link the information from the single DPR across all passive MW sensors in the constellation, to produce a globally consistent precipitation product. Commonly, the associated surface emissivity and environmental conditions at the satellite observation time are interpolated from ancillary data, such as global forecast models and emissivity climatology, and are used for radiative transfer simulations and cataloging/indexing the brightness temperature (TB) observations and simulations within a common MW precipitation retrieval framework. In this manuscript, the feasibility of an update to the surface emissivity state at or near the satellite observation time, regardless of surface type, is examined for purposes of assisting these algorithms with specification of the surface and environmental conditions. Since the constellation MW radiometers routinely observe many more nonprecipitating conditions than precipitating conditions, a principal component analysis is developed from the noncloud GMI–DPR observations as a means to characterize the emissivity state vector and to consistently track the surface and environmental conditions. The method is demonstrated and applied over known complex surface conditions to probabilistically separate cloud and cloud-free scenes. The ability of the method to globally identify “self-similar” surface locations from the TB observations without requiring any ancillary knowledge of geographical location or time is demonstrated.
    Print ISSN: 0739-0572
    Electronic ISSN: 1520-0426
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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  • 5
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    An Eye on the Storm: Integrating a Wealth of Data for Quickly Advancing the Physical Understanding and Forecasting of Tropical Cyclones (2020)
    American Meteorological Society
    Details
    Publication Date: 2020-10-01
    Description: Tropical cyclones (TCs) are among the most destructive natural phenomena with huge societal and economic impact. They form and evolve as the result of complex multiscale processes and nonlinear interactions. Even today the understanding and modeling of these processes is still lacking. A major goal of NASA is to bring the wealth of satellite and airborne observations to bear on addressing the unresolved scientific questions and improving our forecast models. Despite their significant amount, these observations are still underutilized in hurricane research and operations due to the complexity associated with finding and bringing together semicoincident and semicontemporaneous multiparameter data that are needed to describe the multiscale TC processes. Such data are traditionally archived in different formats, with different spatiotemporal resolution, across multiple databases, and hosted by various agencies. To address this shortcoming, NASA supported the development of the Jet Propulsion Laboratory (JPL) Tropical Cyclone Information System (TCIS)—a data analytic framework that integrates model forecasts with multiparameter satellite and airborne observations, providing interactive visualization and online analysis tools. TCIS supports interrogation of a large number of atmospheric and ocean variables, allowing for quick investigation of the structure of the tropical storms and their environments. This paper provides an overview of the TCIS’s components and features. It also summarizes recent pilot studies, providing examples of how the TCIS has inspired new research, helping to increase our understanding of TCs. The goal is to encourage more users to take full advantage of the novel capabilities. TCIS allows atmospheric scientists to focus on new ideas and concepts rather than painstakingly gathering data scattered over several agencies.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
    Published by American Meteorological Society
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  • 6
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    Advancing Precipitation Estimation, Prediction, and Impact Studies (2020)
    American Meteorological Society
    Details
    Publication Date: 2020-09-01
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
    Published by American Meteorological Society
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  • 7
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    Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX) (2020)
    Copernicus
    Details
    Publication Date: 2020-08-21
    Description: The mechanisms linking convection and cloud dynamical processes are major factors in much of the uncertainty in both weather and climate prediction. Further constraining the uncertainty in convective cloud processes linking 3-D air motion and cloud structure through models and observations is vital for improvements in weather forecasting and understanding limits on atmospheric predictability. To date, there have been relatively few airborne observations specifically targeted for linking the 3-D air motion surrounding developing clouds to the subsequent development (or nondevelopment) of convective precipitation. During the May–June 2017 Convective Processes Experiment (CPEX), NASA DC-8-based airborne observations were collected from the JPL Ku- and Ka-band Airborne Precipitation Radar (APR-2) and the 2 µm Doppler Aerosol Wind (DAWN) lidar during approximately 100 h of flight. For CPEX, the APR-2 provided the vertical air motion and structure of the cloud systems in nearby precipitating regions where DAWN is unable to sense. Conversely, DAWN sampled vertical wind profiles in aerosol-rich regions surrounding the convection but is unable to sense the wind field structure within most clouds. In this paper, the complementary nature of these data are presented from the 10–11 June flight dates, including the APR-2 precipitation structure and Doppler wind fields as well as adjacent wind profiles from the DAWN data.
    Print ISSN: 1867-1381
    Electronic ISSN: 1867-8548
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 8
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    Evaluation of precipitation vertical profiles estimated by GPM-era satellite-based passive microwave retrievals (2020)
    American Meteorological Society
    Details
    Publication Date: 2020-10-23
    Description: Precipitation estimation based on passive microwave (MW) observations from low Earth-orbiting satellites is one of the essential variables for understanding the global climate. However, almost all validation studies for such precipitation estimation have focused only on the surface precipitation rate. This study investigates the vertical precipitation profiles estimated by two passive MW-based retrieval algorithms, i.e., the Emissivity Principal Components (EPC) algorithm and the Goddard Profiling Algorithm (GPROF). The passive MW-based condensed water content profiles estimated from the Global Precipitation Measurement Microwave Imager (GMI) are validated using the GMI + Dual-frequency Precipitation Radar combined algorithm as the reference product. It is shown that the EPC generally underestimates the magnitude of the condensed water content profiles, described by the mean condensed water content, by about 20 - 50% in the middle-to-high latitudes, while GPROF overestimates it by about 20 - 50% in the middle-to-high latitudes and more than 50% in the tropics. Part of the EPC magnitude biases is associated with the representation of the precipitation type (i.e., convective and stratiform) in the retrieval algorithm. This suggests that a separate technique for precipitation type identification would aid in mitigating these biases. In contrast to the magnitude of the profile, the profile shapes are relatively well represented by these two passive MW-based retrievals. The joint analysis between the estimation performances of the vertical profiles and surface precipitation rate shows that the physically reasonable connections between the surface precipitation rate and the associated vertical profiles are achieved to some extent by the passive MW-based algorithms.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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  • 9
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    Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall (2020)
    Institute of Electrical and Electronics Engineers
    Details
    Publication Date: 2020-02-01
    Print ISSN: 0196-2892
    Electronic ISSN: 1558-0644
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Institute of Electrical and Electronics Engineers
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  • 10
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    Observations of Tropical Cyclones With the SSMIS (2008)
    Institute of Electrical and Electronics Engineers
    Details
    Publication Date: 2008-04-01
    Print ISSN: 0196-2892
    Electronic ISSN: 1558-0644
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Institute of Electrical and Electronics Engineers
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