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Measuring Precipitation from Space: EURAINSAT and the Future Softcover reprint of the original 1st ed. 2007 [Mīkstie vāki]

  • Formāts: Paperback / softback, 724 pages, height x width: 235x155 mm, weight: 1551 g, XXVI, 724 p., 1 Paperback / softback
  • Sērija : Advances in Global Change Research 28
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer
  • ISBN-10: 9401776369
  • ISBN-13: 9789401776363
  • Mīkstie vāki
  • Cena: 270,03 €*
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  • Formāts: Paperback / softback, 724 pages, height x width: 235x155 mm, weight: 1551 g, XXVI, 724 p., 1 Paperback / softback
  • Sērija : Advances in Global Change Research 28
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer
  • ISBN-10: 9401776369
  • ISBN-13: 9789401776363
Measuring Precipitation from Space presents state-of-the-art rainfall estimation algorithms, validation strategies, precipitation modelling, and assimilation in numerical weather prediction models. Clouds and precipitation observations and modelling are addressed for the improvement of the rainfall product quality. Special attention is given to the applications to monitoring and forecasting weather events and to climate monitoring in a frame of growing public interest. No other book can offer to scientists, Ph.D. or equivalent students, professionals in environmental disciplines, and decision makers 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.



Other categories of readers will find in the book reference material for their questions on weather and climate applications. The essays are written by the most qualified experts in the field of passive and active remote sensing, cloud and mesoscale modelling, validation and space mission planning. Top academic and research institutions and space agencies have concurred to the first joint effort ever.
Climate Monitoring.- European Commission Research for Global Climate
Change Studies: Towards Improved Water Observations and Forecasting
Capability.- Is Man Actively Changing the Environment.- The Global
Precipitation Climatology Project.- Oceanic Precipitation Variability and the
North Atlantic Oscillation.- Global Satellite Datasets: Data Availability for
Scientists and Operational Users.- Cloud Studies in Support of Satellite
Rainfall Measurements.- Cloud Top Microphysics as a Tool for Precipitation
Measurements.- The Retrieval of Cloud Top Properties Using VIS-IR Channels.-
Cloud Microphysical Properties Retrieval During Intense Biomass Burning
Events Over Africa and Portugal.- 3D Effects in Microwave Radiative Transport
Inside Precipitating Clouds: Modeling and Applications.- Cloud Microphysical
Properties from Remote Sensing of Lightning within the Mediterranean.- The
Worth of Long-Range Lightning Observations on Overland Satellite Rainfall
Estimation.- Neural Network tools for Satellite Rainfall Estimation.-
Rainfall Algorithms.- Passive Microwave Precipitation Measurements at Mid-
and High Latitudes.- The Goddard Profiling Algorithm (GPROF): Description and
Current Applications.- Past, Present and Future of Microwave Operational
Rainfall Algorithms.- Space-Borne Radar Algorithms.- Rain Type Classification
Algorithm.- Dual-Wavelength Radar Algorithm.- A Next-generation Microwave
Rainfall Retrieval Algorithm for use by TRMM and GPM.- Blended Techniques.-
The University of Birmingham Global Rainfall Algorithms.- Multivariate
Probability Matching for Microwave Infrared Combined Rainfall Algorithm
(MICRA).- Toward Improvements in Short-time Scale Satellite-Derived
Precipitation Estimates using Blended Satellite Techniques.- Global Rainfall
Analyses at Monthly and 3-hTime Scales.- CPC MORPHING Technique (CMORPH).-
CMAP: The CPC Merged Analysis of Precipitation.- Rainfall Estimation Using a
Cloud Patch Classification Map.- Validating Satellite Rainfall Measurements.-
Methods for Verifying Satellite Precipitation Estimates.- Assessment of
Satellite Rain Retrieval Error Propagation in the Prediction of Land Surface
Hydrologi.- EURAINSAT Algorithm Validation and Intercomparison Exercise.-
Ground Validation for the Global Precipitation Climatology Project.-
Validation of Rainfall Algorithms at the NOAA Climate Prediction Center.-
Ground Networks: Are We Doing the Right Thing?.- Modeling Precipitation
Processes and Data Assimilation for Nwp.- Aerosol Impact on Precipitation
from Convective Clouds.- The Wisconsin Dynamic/Microphysical Model (WISCDYMM)
and the use of it to Interpret Satellite-Observed Storm Dynamics.- The
European Centre for Medium-Range Weather Forecasts Global Rainfall Data
Assimilation Experimentation.- Rainfall Assimilation into Limited Area
Models.- Implementing an Operational Chain: The Florence LaMMA Laboratory.-
Applications to Monitoring Weather Events.- Satellite Precipitation
Algorithms for Extreme Precipitation Events.- Application of a Blended MW-IR
Rainfall Algorithm to the Mediterranean.- Retrieving Precipitation with GOES,
Meteosat, and Terra/MSG at the Tropics and Mid-latitudes.- Model and
Satellite Analysis of the November 910, 2001 Algeria Flood.- Modeling
Microphysical Signatures of Extreme Events in the Western Mediterranean to
Provide a Basis for Diagnosing Precipitation from Space.- Online
Visualization and Analysis: A New Avenue to use Satellite Data for Weather,
Climate, and Interdisciplinary Research and Applications.- The Present and
Future of Satellite Platforms.- The Space-Based Component ofthe World Weather
Watch's Global Observing System (GOS).- The Meteosat and EPS/Metop Satellite
Series.- The Evolution of the NOAA Satellite Platforms.- Japan's Role in the
Present and Future Satellite Observation for Global Water Cycle Research.-
International Global Precipitation Measurement (GPM) Program and Mission: An
Overview.- Snowfall Measurements by Proposed European GPM Mission.- Observing
Rain by MillimetreSubmillimetre Wave Sounding from Geostationary Orbit.- The
CGMS/WMO Virtual Laboratory for Education and Training in Satellite Matters.-
The International Precipitation Working Group: A Bridge Towards Operational
Applications.