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  • 1
    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
    DDC: 551.5
    Language: English
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  • 2
    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
    DDC: 551.5
    Language: English
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  • 3
    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
    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
    Electronic Resource
    Electronic Resource
    Springer
    Aerobiologia 5 (1989), S. 17-29 
    ISSN: 1573-3025
    Keywords: pollen grains ; expert system ; aerobiology ; allergology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary An expert system for the computer-aided identification of pollen grains is described. The system consists of a computer program writeen in Pascal and a knowledge base containing the description of a large number of pollen grains. The operator is guided by the progam to perform a whole series of microscope observations of the grain which lead to a final decision concerning the identity of the pollen: family, and eventually genus and species if clearly recognizable. The structure of the logical process is particulary simple so that no expertise in computer programming is required for routine use. The system is designed not only for research objectives but mainly for use in operational environments such as, for example, allergological monitoring. The knowledge base has initially been constructed to include about 100 individuals of European, mostly Mediterranean, flora with special emphasis on aerobiological factors. The system is, however, entirely flexible, being conceived to recognize pollen of different types together with other biological objects such as spores and bacteria. The software has been designed as a self-contained package to be installed and run on IBM-PC compatible computers with MS DOS operative system.
    Type of Medium: Electronic Resource
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  • 7
    Publication Date: 2009-08-01
    Description: The observation of the atmosphere by satellite instrumentation was one of the first uses of remotely sensed data nearly 50 years ago. Since then a range of satellites have carried many different meteorological sensors capable of monitoring the dynamics of the atmosphere and the capture and retrieval of information about atmospheric parameters for use in meteorological and climatological applications. The utilization of satellite observations for meteorology and climatology is essential since the atmosphere is a global feature, and conventional observations of it are primarily land-based. Satellites, with their synoptic view, provide much information benefiting numerical weather prediction models to improve weather forecasting and the ability to monitor weather systems, in particular those that pose a threat to humankind, over the entire Earth. Development of new observational capabilities has led to new insights into atmospheric processes and their interaction, allowing the consequences of anthropogenic activities, such as climate change, to be monitored.
    Print ISSN: 0309-1333
    Electronic ISSN: 1477-0296
    Topics: Geography
    Published by Sage Publications
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  • 8
    Publication Date: 2020-10-30
    Description: A new method for detecting hailstorms by using all the MHS-like (MHS, Microwave Humidity Sounder) satellite radiometers currently in orbit is presented. A probability-based model originally designed for AMSU-B/MHS-based (AMSU-B, Advanced Microwave Sounding Unit-B) radiometers has been fitted to the observations of all microwave radiometers onboard the satellites of the Global Precipitation Measurements (GPM) constellation. All MHS-like frequency channels in the 150–170 GHz frequency range were adjusted on the MHS channel 2 (157 GHz) in order to account for the instrumental differences and tune the original model on the MHS-like technical characteristics. The novelty of this approach offers the potential of retrieving a uniform and homogeneous hail dataset on the global scale. The application of the hail detection model to the entire GPM constellation demonstrates the high potential of this generalized model to map the evolution of hail-bearing systems at very high temporal rate. The results on the global scale also demonstrate the high performances of the hail model in detecting the differences of hailstorm structure across the two hemispheres by means of a thorough reconstruction of the seasonality of the events particularly in South America where the largest hailstones are typically observed.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 9
    Publication Date: 2019-06-24
    Description: Retrievals of falling snow from space-based observations represent key inputs for understanding and linking Earth’s atmospheric, hydrological, and energy cycles. This work quantifies and investigates causes of differences among the first stable falling snow retrieval products from the Global Precipitation Measurement (GPM) Core Observatory satellite and CloudSat’s Cloud Profiling Radar (CPR) falling snow product. An important part of this analysis details the challenges associated with comparing the various GPM and CloudSat snow estimates arising from different snow–rain classification methods, orbits, resolutions, sampling, instrument specifications, and algorithm assumptions. After equalizing snow–rain classification methodologies and limiting latitudinal extent, CPR observes nearly 10 (3) times the occurrence (accumulation) of falling snow as GPM’s Dual-Frequency Precipitation Radar (DPR). The occurrence disparity is substantially reduced if CloudSat pixels are averaged to simulate DPR radar pixels and CPR observations are truncated below the 8-dBZ reflectivity threshold. However, even though the truncated CPR- and DPR-based data have similar falling snow occurrences, average snowfall rate from the truncated CPR record remains significantly higher (43%) than the DPR, indicating that retrieval assumptions (microphysics and snow scattering properties) are quite different. Diagnostic reflectivity (Z)–snow rate (S) relationships were therefore developed at Ku and W band using the same snow scattering properties and particle size distributions in a final effort to minimize algorithm differences. CPR–DPR snowfall amount differences were reduced to ~16% after adopting this diagnostic Z–S approach.
    Print ISSN: 1558-8424
    Electronic ISSN: 1558-8432
    Topics: Geography , Physics
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