Global Statistics on Cloud Optical Depths From Satellite and Lidar Observations

Global Statistics on Cloud Optical Depths From Satellite and Lidar Observations
Author:
Publisher:
Total Pages: 0
Release: 1995
Genre:
ISBN:

Six years of cloud data have been collected globally from the NOAA satellite series. The High Resolution Infrared Radiometer Spectrometer (HIRS) data were used to detect clouds and estimate their optical depths in the 11 micron infrared window. The cloud detection algorithm has been called the CO2 Slicing Algorithm because it uses the 13-15 micron infrared channels where partial CO2 absorption occurs, to detect partially transparent clouds and correctly determine their altitude. This algorithm is designed to be sensitive to upper tropospheric cirrus clouds which are difficult to detect. The frequency of these clouds along with their global distribution and seasonal changes have been reported at past CIDOS conferences.

Remote Sensing of Aerosols, Clouds, and Precipitation

Remote Sensing of Aerosols, Clouds, and Precipitation
Author: Tanvir Islam
Publisher: Elsevier
Total Pages: 366
Release: 2017-10-18
Genre: Science
ISBN: 0128104384

Remote Sensing of Aerosols, Clouds, and Precipitation compiles recent advances in aerosol, cloud, and precipitation remote sensing from new satellite observations. The book examines a wide range of measurements from microwave (both active and passive), visible, and infrared portions of the spectrum. Contributors are experts conducting state-of-the-art research in atmospheric remote sensing using space, airborne, and ground-based datasets, focusing on supporting earth observation satellite missions for aerosol, cloud, and precipitation studies. A handy reference for scientists working in remote sensing, earth science, electromagnetics, climate physics, and space engineering. Valuable for operational forecasters, meteorologists, geospatial experts, modelers, and policymakers alike. - Presents new approaches in the field, along with further research opportunities, based on the latest satellite data - Focuses on how remote sensing systems can be designed/developed to solve outstanding problems in earth and atmospheric sciences - Edited by a dynamic team of editors with a mixture of highly skilled and qualified authors offering world-leading expertise in the field

Differences in Ice Cloud Optical Depth from CALIPSO and Ground-based Raman Lidar at the ARM SGP and TWP Sites

Differences in Ice Cloud Optical Depth from CALIPSO and Ground-based Raman Lidar at the ARM SGP and TWP Sites
Author: Kelly A. Balmes
Publisher:
Total Pages: 50
Release: 2018
Genre: Ice clouds
ISBN:

Ice cloud column optical depths from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite and ground-based Raman lidars (RLs) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) and Tropical Western Pacific (TWP) sites are compared for 8 and 4 years, respectively. The cloudy mean ice cloud column optical depths from CALIPSO are 160% (88%) larger than those from RLs at SGP (TWP) for collocated transparent profiles. Of this total difference, 68% (20%) is attributed to differences in the lidar ratios at SGP (TWP) and 8% (46%) is attributed to differences in averaging resolution at SGP (TWP). Hence, differences in ice cloud column optical depth are more due to the lidar ratio than averaging resolution at SGP but vice versa at TWP. The remaining differences, especially at SGP, are due to very optically thin clouds only detectable by the higher-sensitivity RLs. This work also examines in detail the lidar ratios that are directly observed by RLs, which do not support the temperature-dependent parameterization of ice cloud lidar ratio used in CALIPSO's Version 4 data product.

Advances in the Use of NOAA AVHRR Data for Land Applications

Advances in the Use of NOAA AVHRR Data for Land Applications
Author: Giles D'Souza
Publisher: Springer Science & Business Media
Total Pages: 484
Release: 2013-11-11
Genre: Technology & Engineering
ISBN: 9400902034

An up-to-date, detailed set of notes covering all aspects of NOAA AVHRR data collection, pre-processing, analysis and application. Includes many FTP sites, e-mail addresses and URL locations. Some chapters address particular aspects of the NOAA AVHRR system, such as radiometric calibration and geometric correction, while others provide general information of interest to any remote sensing study, such as radiative transfer modelling and atmospheric correction. The publication of a book that covers all important aspects of the treatment and understanding of the data in one volume makes the work a convenient, informative `recipe book' that is sure to become a favourite for all users of NOAA AVHRR data.

Fast Processes in Large-Scale Atmospheric Models

Fast Processes in Large-Scale Atmospheric Models
Author: Yangang Liu
Publisher: John Wiley & Sons
Total Pages: 483
Release: 2023-12-11
Genre: Science
ISBN: 1119528941

Improving weather and climate prediction with better representation of fast processes in atmospheric models Many atmospheric processes that influence Earth’s weather and climate occur at spatiotemporal scales that are too small to be resolved in large scale models. They must be parameterized, which means approximately representing them by variables that can be resolved by model grids. Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges and Opportunities explores ways to better investigate and represent multiple parameterized processes in models and thus improve their ability to make accurate climate and weather predictions. Volume highlights include: Historical development of the parameterization of fast processes in numerical models Different types of major sub-grid processes and their parameterizations Efforts to unify the treatment of individual processes and their interactions Top-down versus bottom-up approaches across multiple scales Measurement techniques, observational studies, and frameworks for model evaluation Emerging challenges, new opportunities, and future research directions The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

3S Technology Applications in Meteorology

3S Technology Applications in Meteorology
Author: Shuanggen Jin
Publisher: CRC Press
Total Pages: 441
Release: 2023-10-19
Genre: Technology & Engineering
ISBN: 1000966674

Spatial information technology and its integration, such as remote sensing, geographic information systems (GIS), and global navigation satellite systems (GNSS), known as 3S technology, have been extensively utilized in managing and monitoring natural disasters. This book illustrates the 3S integrated applications in the field of meteorology and promotes the role of 3S in developing precise and intelligent meteorology. It presents the principles of 3S technology and the methods for monitoring different meteorological disasters and hazards as well as their application progress. The case studies from the United States, Japan, China, and Europe were conducted to help all countries understand the 3S technology functions in handling and monitoring severe meteorological hazards. FEATURES Presents integral observations from GNSS, GIS, and remote sensing in estimating and understanding meteorological changes Explains how to monitor and retrieve atmospheric parameter changes using GNSS and remote sensing Shows three-dimensional modelling and evaluations of meteorological variation processing based on GIS Helps meteorologists develop and use space-air-ground integrated observations for meteorological applications Illustrates the practices in monitoring meteorological hazards using space information techniques and case studies This book is intended for academics, researchers, and postgraduate students who specialize in geomatics, atmospheric science, and meteorology, as well as scientists who work in remote sensing and meteorology, and professionals who deal with meteorological hazards.