Description
Satellite Precipitation Measurement, 1st ed. 2020
Volume 2
Advances in Global Change Research Series, Vol. 69
Coordinators: Levizzani Vincenzo, Kidd Christopher, Kirschbaum Dalia B., Kummerow Christian D., Nakamura Kenji, Turk F. Joseph
Language: English
Subjects for Satellite Precipitation Measurement:
Keywords
Satellite meteorology; Precipitation: rainfall and snow measurements; Climate and water cycle; Tropical Rainfall Measuring Mission; Observations and retrieval techniques; Measuring precipitation from Space; International Precipitation Working Group; Precipitation data; meteorology; climate change impacts
Satellite Precipitation Measurement
Publication date: 04-2021
Support: Print on demand
Publication date: 04-2021
Support: Print on demand
Satellite Precipitation Measurement
Publication date: 04-2020
725 p. · 15.5x23.5 cm · Hardback
Publication date: 04-2020
725 p. · 15.5x23.5 cm · Hardback
Description
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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.
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.
Vincenzo Levizzani is Director of Research at the Institute of Atmospheric Sciences and Climate of the National Council of Research in Bologna, Italy, and Professor of Cloud Physics at the University of Bologna. His research interests concentrate on cloud structure, precipitation measurement from space, regional climatology of clouds and precipitation and new space mission concept design. He was among the co-founders of the International Precipitation Working Group and has collaborated to clouds and precipitation missions of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and the European Space Agency (ESA). He is author of several hundreds peer-reviewed journal publications, book contributions and scientific reports, and has served in several high-level committees of WMO, NASA, ESA, EUMETSAT, KMA, European Commission, etc.
Christopher Kidd obtained a BSc in Geography from the University of Nottingham,followed by a PhD from the University of Bristol. He has been at the forefront of satellite precipitation estimation over the last 30 years, focusing upon retrieval schemes from both passive microwave observations and multi-sensor observations, together with the verification, validation and inter-comparison of satellite estimates and surface measurements.
Dalia B. Kirschbaum is a Research Physical Scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center in Greenbelt, Maryland. She has served as the Global Precipitation Measurement (GPM) Mission Associate Deputy Project Scientist for Applications since 2009, where she leads a team of outreach and applications specialists to provide scientific support for applications research and activities. Her research interests center on the application of GPM data to rainfall-triggered landslide modeling efforts, including a global landslide situational awareness system that is being used
Christopher Kidd obtained a BSc in Geography from the University of Nottingham,followed by a PhD from the University of Bristol. He has been at the forefront of satellite precipitation estimation over the last 30 years, focusing upon retrieval schemes from both passive microwave observations and multi-sensor observations, together with the verification, validation and inter-comparison of satellite estimates and surface measurements.
Dalia B. Kirschbaum is a Research Physical Scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center in Greenbelt, Maryland. She has served as the Global Precipitation Measurement (GPM) Mission Associate Deputy Project Scientist for Applications since 2009, where she leads a team of outreach and applications specialists to provide scientific support for applications research and activities. Her research interests center on the application of GPM data to rainfall-triggered landslide modeling efforts, including a global landslide situational awareness system that is being used
Offers state-of-the-art intelligence on how to interpret precipitation data sets Contains first-hand teaching material for undergraduate and graduate students Highlights the successes of the community whilst indicating the open science, technology issues and future challenges
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