نتایج جستجو برای: meteosat 9

تعداد نتایج: 483677  

Journal: :Journal of Geophysical Research: Atmospheres 2000

2011
Jun Li Zhenglong Li Xin Jin Timothy J. Schmit Lihang Zhou Mitchell D. Goldberg

[1] The time continuity of measurements from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on board the Meteosat Second Generation (MSG) Meteosat‐8/9 and from the Advanced Baseline Imager (ABI) on board the next generation of Geostationary Operational Environmental Satellite (GOES‐R) can be uniquely taken into account for infrared (IR) land surface emissivity (LSE) retrievals. The ...

2012
Zhenglong Li Jun Li Yue Li Yong Zhang Timothy J. Schmit Lihang Zhou Mitchell D. Goldberg W. Paul Menzel

[1] Infrared (IR) land surface emissivity (LSE) with a high temporal and spatial resolution is very important for deriving other products using IR radiance measurements as well as assimilating IR radiances in numerical weather prediction (NWP) models over land. Retrieved from various satellite instruments, many LSE databases are available for operational and research use. Most are updated only ...

Journal: :Remote Sensing 2021

Third-generation geostationary meteorological satellites (GEOs), such as Himawari-8/9 Advanced Himawari Imager (AHI), Geostationary Operational Environmental Satellites (GOES)-R Series Baseline (ABI), and Meteosat Third Generation (MTG) Flexible Combined (FCI), provide advanced imagery atmospheric measurements of the Earth’s weather, oceans, terrestrial environments at high-frequency intervals....

2003
Thomas Heinemann Judit Kerényi

Precipitation is the meteorological parameter affecting people in the most direct way. Forecasting the spatial and temporal distribution of rain and snow is therefore one of the major challenges for the meteorological services. Satellite remote sensing of precipitation could help to improve these forecasts. The most direct method to retrieve precipitation from spaceborne measurements is based o...

2001
Umberto Amato Guido Masiello Carmine Serio Vincenzo Cuomo Pietro Castellino

Cloud detection and corresponding classification are an important problem in numerical weather forecast and remote sensing in general. The present paper introduces the wavelet transform as an aid tool for solving the problem. A case study based on METEOSAT images and on an available Cloud Analysis product is considered.

2004
D. R. Doelling L. Nguyen P. Minnis

Remote sensing of cloud and surface properties from different satellites requires consistent calibration of the instruments on each satellite. The unique spectral, spatial, and temporal resolutions of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the new Meteosat Second Generation, Meteosat-8, give it the potential for providing unprecedented scientific data, especially when com...

2017
R. Layberry D. R. Kniveton

This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the URL above for details on accessing the published version. Copyright and all moral rights to the version of the paper presented here belong to the individual ...

2008
B. Thies

A new technique for process-oriented rain area classification using Meteosat Second Generation SEVIRI nighttime data is introduced. It is based on a combination of the Advective Convective Technique (ACT) which focuses on precipitation areas connected to convective processes and the Rain Area Delineation Scheme during Nighttime (RADS-N) a new technique for the improved detection of stratiform p...

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