Description

Book Synopsis
This book provides a thorough introductory description of the physical principles underlying the satellite remote sensing of clouds and precipitation. A diverse collection of satellite sensors is covered, including imagers, radars, and sounders over a broad spectral range from visible to microwave radiation.

The progress in satellite instrument technology during the past two decades as represented by the Tropical Rainfall Measuring Mission (TRMM), CloudSat, and Global Measurement Mission (GPM) satellites has drastically improved our capability of measuring clouds and precipitation across the globe. At the same time, such rapid progress makes it increasingly challenging for scientists without specialized skills in remote sensing to fully grasp how satellite measurements are being made. This book is designed to mitigate that challenge. The targeted readers are graduate students and professional scientists seeking an extended summary of the theoretical background behind observations from space, ranging from fundamental physics (the statistical mechanics and radiative processes, for instance) to more practical levels of theory such as retrieval algorithm design.



Table of Contents

Part I General Background

1 Introduction

2 Satellite Missions and Instruments

3 Satellite Orbit and Scan

Part II Basic Physics

4 Principles of Statistical Mechanics

5 Principles of Electrodynamics and Geometrical Optics

6 General Theory of Radiative Processes

Part III Measurement Principles

7 Infrared Sensing

8 Visible/Near-infrared Imaging

9 Microwave Radiometry

10 Active Remote Sensing

11 Mathematical Basis of Retrieval Algorithms

Part IV Applications

12 Global datasets of clouds and precipitation

13 Satellite Data Simulators


Satellite Measurements of Clouds and Precipitation: Theoretical Basis

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    Order before 4pm today for delivery by Mon 10 Aug 2026.

    A Hardback by Hirohiko Masunaga

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      View other formats and editions of Satellite Measurements of Clouds and Precipitation: Theoretical Basis by Hirohiko Masunaga

      Publisher: Springer Verlag, Singapore
      Publication Date: Publication Date: 27/04/2022
      ISBN13: 9789811922428, 978-9811922428
      ISBN10:

      Description

      Book Synopsis
      This book provides a thorough introductory description of the physical principles underlying the satellite remote sensing of clouds and precipitation. A diverse collection of satellite sensors is covered, including imagers, radars, and sounders over a broad spectral range from visible to microwave radiation.

      The progress in satellite instrument technology during the past two decades as represented by the Tropical Rainfall Measuring Mission (TRMM), CloudSat, and Global Measurement Mission (GPM) satellites has drastically improved our capability of measuring clouds and precipitation across the globe. At the same time, such rapid progress makes it increasingly challenging for scientists without specialized skills in remote sensing to fully grasp how satellite measurements are being made. This book is designed to mitigate that challenge. The targeted readers are graduate students and professional scientists seeking an extended summary of the theoretical background behind observations from space, ranging from fundamental physics (the statistical mechanics and radiative processes, for instance) to more practical levels of theory such as retrieval algorithm design.



      Table of Contents

      Part I General Background

      1 Introduction

      2 Satellite Missions and Instruments

      3 Satellite Orbit and Scan

      Part II Basic Physics

      4 Principles of Statistical Mechanics

      5 Principles of Electrodynamics and Geometrical Optics

      6 General Theory of Radiative Processes

      Part III Measurement Principles

      7 Infrared Sensing

      8 Visible/Near-infrared Imaging

      9 Microwave Radiometry

      10 Active Remote Sensing

      11 Mathematical Basis of Retrieval Algorithms

      Part IV Applications

      12 Global datasets of clouds and precipitation

      13 Satellite Data Simulators


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