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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.
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  • 4
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    The Global Precipitation Measurement (GPM) Mission for Science and Society (2017)
    American Meteorological Society
    Details
    Publication Date: 2017-08-01
    Description: Precipitation is a key source of freshwater; therefore, observing global patterns of precipitation and its intensity is important for science, society, and understanding our planet in a changing climate. In 2014, the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA) launched the Global Precipitation Measurement (GPM) Core Observatory (CO) spacecraft. The GPM CO carries the most advanced precipitation sensors currently in space including a dual-frequency precipitation radar provided by JAXA for measuring the three-dimensional structures of precipitation and a well-calibrated, multifrequency passive microwave radiometer that provides wide-swath precipitation data. The GPM CO was designed to measure rain rates from 0.2 to 110.0 mm h−1 and to detect moderate to intense snow events. The GPM CO serves as a reference for unifying the data from a constellation of partner satellites to provide next-generation, merged precipitation estimates globally and with high spatial and temporal resolutions. Through improved measurements of rain and snow, precipitation data from GPM provides new information such as details on precipitation structure and intensity; observations of hurricanes and typhoons as they transition from the tropics to the midlatitudes; data to advance near-real-time hazard assessment for floods, landslides, and droughts; inputs to improve weather and climate models; and insights into agricultural productivity, famine, and public health. Since launch, GPM teams have calibrated satellite instruments, refined precipitation retrieval algorithms, expanded science investigations, and processed and disseminated precipitation data for a range of applications. The current status of GPM, its ongoing science, and its future plans are presented.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
    Published by American Meteorological Society
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  • 5
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    So, How Much of the Earth’s Surface Is Covered by Rain Gauges? (2017)
    American Meteorological Society
    Details
    Publication Date: 2017-01-01
    Description: The measurement of global precipitation, both rainfall and snowfall, is critical to a wide range of users and applications. Rain gauges are indispensable in the measurement of precipitation, remaining the de facto standard for precipitation information across Earth’s surface for hydrometeorological purposes. However, their distribution across the globe is limited: over land their distribution and density is variable, while over oceans very few gauges exist and where measurements are made, they may not adequately reflect the rainfall amounts of the broader area. Critically, the number of gauges available, or appropriate for a particular study, varies greatly across the Earth owing to temporal sampling resolutions, periods of operation, data latency, and data access. Numbers of gauges range from a few thousand available in near–real time to about 100,000 for all “official” gauges, and to possibly hundreds of thousands if all possible gauges are included. Gauges routinely used in the generation of global precipitation products cover an equivalent area of between about 250 and 3,000 m2. For comparison, the center circle of a soccer pitch or tennis court is about 260 m2. Although each gauge should represent more than just the gauge orifice, autocorrelation distances of precipitation vary greatly with regime and the integration period. Assuming each Global Precipitation Climatology Centre (GPCC)–available gauge is independent and represents a surrounding area of 5-km radius, this represents only about 1% of Earth’s surface. The situation is further confounded for snowfall, which has a greater measurement uncertainty.
    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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    NASA’s Remotely Sensed Precipitation: A Reservoir for Applications Users (2017)
    American Meteorological Society
    Details
    Publication Date: 2017-06-01
    Description: Precipitation is the fundamental source of freshwater in the water cycle. It is critical for everyone, from subsistence farmers in Africa to weather forecasters around the world, to know when, where, and how much rain and snow is falling. The Global Precipitation Measurement (GPM) Core Observatory spacecraft, launched in February 2014, has the most advanced instruments to measure precipitation from space and, together with other satellite information, provides high-quality merged data on rain and snow worldwide every 30 min. Data from GPM and the predecessor Tropical Rainfall Measuring Mission (TRMM) have been fundamental to a broad range of applications and end-user groups and are among the most widely downloaded Earth science data products across NASA. End-user applications have rapidly become an integral component in translating satellite data into actionable information and knowledge used to inform policy and enhance decision-making at local to global scales. In this article, we present NASA precipitation data, capabilities, and opportunities from the perspective of end users. We outline some key examples of how TRMM and GPM data are being applied across a broad range of sectors, including numerical weather prediction, disaster modeling, agricultural monitoring, and public health research. This work provides a discussion of some of the current needs of the community as well as future plans to better support end-user communities across the globe to utilize this data for their own applications.
    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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    Satellite Precipitation Characterization, Error Modeling, and Error Correction Using Censored Shifted Gamma Distributions (2017)
    American Meteorological Society
    Details
    Publication Date: 2017-10-01
    Description: Satellite multisensor precipitation products (SMPPs) have a variety of potential uses but suffer from relatively poor accuracy due to systematic biases and random errors in precipitation occurrence and magnitude. The censored, shifted gamma distribution (CSGD) is used here to characterize the Tropical Rainfall Measurement Mission Multisatellite Precipitation Analysis (TMPA), a commonly used SMPP, and to compare it against the rain gauge–based North American Land Data Assimilation System phase 2 (NLDAS-2) reference precipitation dataset across the conterminous United States. The CSGD describes both the occurrence and the magnitude of precipitation. Climatological CSGD characterization reveals significant regional differences between TMPA and NLDAS-2 in terms of magnitude and probability of occurrence. A flexible CSGD-based error modeling framework is also used to quantify errors in TMPA relative to NLDAS-2. The framework can model conditional bias as either a linear or nonlinear function of satellite precipitation rate and can produce a “conditional CSGD” describing the distribution of “true” precipitation based on a satellite observation. The framework is also used to “merge” TMPA with atmospheric variables from version 2 of the Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) to reduce SMPP errors. Despite the coarse resolution of MERRA-2, this merging offers robust reductions in random error due to the better performance of numerical models in resolving stratiform precipitation. Improvements in the near-real-time version of TMPA are relatively greater than for the higher-latency research version.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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  • 8
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    Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era (2017)
    American Meteorological Society
    Details
    Publication Date: 2017-04-01
    Description: Long-term precipitation records are vital to many applications, especially the study of extreme events. The Tropical Rainfall Measuring Mission (TRMM) has served this need, but TRMM’s successor mission, Global Precipitation Measurement (GPM), does not yet provide a long-term record. Quantile mapping, the conversion of values across paired empirical distributions, offers a simple, established means to approximate such long-term statistics but only within appropriately defined domains. This method was applied to a case study in Central America, demonstrating that quantile mapping between TRMM and GPM data maintains the performance of a real-time landslide model. Use of quantile mapping could bring the benefits of the latest satellite-based precipitation dataset to existing user communities, such as those for hazard assessment, crop forecasting, numerical weather prediction, and disease tracking.
    Electronic ISSN: 1087-3562
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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  • 9
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    Landslides across the USA: occurrence, susceptibility, and data limitations (2020)
    Springer
    Details
    Publication Date: 2020-05-29
    Description: Detailed information about landslide occurrence is the foundation for advancing process understanding, susceptibility mapping, and risk reduction. Despite the recent revolution in digital elevation data and remote sensing technologies, landslide mapping remains resource intensive. Consequently, a modern, comprehensive map of landslide occurrence across the United States (USA) has not been compiled. As a first step toward this goal, we present a national-scale compilation of existing, publicly available landslide inventories. This geodatabase can be downloaded in its entirety or viewed through an online, searchable map, with parsimonious attributes and direct links to the contributing sources with additional details. The mapped spatial pattern and concentration of landslides are consistent with prior characterization of susceptibility within the conterminous USA, with some notable exceptions on the West Coast. Although the database is evolving and known to be incomplete in many regions, it confirms that landslides do occur across the country, thus highlighting the importance of our national-scale assessment. The map illustrates regions where high-quality mapping has occurred and, in contrast, where additional resources could improve confidence in landslide characterization. For example, borders between states and other jurisdictions are quite apparent, indicating the variation in approaches to data collection by different agencies and disparity between the resources dedicated to landslide characterization. Further investigations are needed to better assess susceptibility and to determine whether regions with high relief and steep topography, but without mapped landslides, require further landslide inventory mapping. Overall, this map provides a new resource for accessing information about known landslides across the USA.
    Print ISSN: 1612-510X
    Electronic ISSN: 1612-5118
    Topics: Architecture, Civil Engineering, Surveying , Geosciences
    Published by Springer
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  • 10
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    Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System (2020)
    American Meteorological Society
    Details
    Publication Date: 2020-07-29
    Description: Many existing models that predict landslide hazards utilize ground-based sources of precipitation data. In locations where ground-based precipitation observations are limited (i.e., a vast majority of the globe), or for landslide hazard models that assess regional or global domains, satellite multisensor precipitation products offer a promising near-real-time alternative to ground-based data. NASA’s global Landslide Hazard Assessment for Situational Awareness (LHASA) model uses the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) product to issue hazard “nowcasts” in near–real time for areas that are currently at risk for landsliding. Satellite-based precipitation estimates, however, can contain considerable systematic bias and random error, especially over mountainous terrain and during extreme rainfall events. This study combines a precipitation error modeling framework with a probabilistic adaptation of LHASA. Compared with the routine version of LHASA, this probabilistic version correctly predicts more of the observed landslides in the study region with fewer false alarms by high hazard nowcasts. This study demonstrates that improvements in landslide hazard prediction can be achieved regardless of whether the IMERG error model is trained using abundant ground-based precipitation observations or using far fewer and more scattered observations, suggesting that the approach is viable in data-limited regions. Results emphasize the importance of accounting for both random error and systematic satellite precipitation bias. The approach provides an example of how environmental prediction models can incorporate satellite precipitation uncertainty. Other applications such as flood and drought monitoring and forecasting could likely benefit from consideration of precipitation uncertainty.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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