2017
DOI: 10.3390/rs9050466
|View full text |Cite
|
Sign up to set email alerts
|

The CM SAF TOA Radiation Data Record Using MVIRI and SEVIRI

Abstract: Abstract:The CM SAF Top of Atmosphere (TOA) Radiation MVIRI/SEVIRI Data Record provides a homogenised satellite-based climatology of TOA Reflected Solar (TRS) and Emitted Thermal (TET) radiation in all-sky conditions over the Meteosat field of view. The continuous monitoring of these two components of the Earth Radiation Budget is of prime importance to study climate variability and change. Combining the Meteosat MVIRI and SEVIRI instruments allows an unprecedented temporal (30 min/15 min) and spatial (2.5 km/… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
16
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 25 publications
(16 citation statements)
references
References 36 publications
0
16
0
Order By: Relevance
“…The CM SAF cLouds, Albedo and Radiation dataset from the AVHRR (CLARA-A2) data record [10] is the second edition of the CM SAF's global data record of cloud, surface albedo and surface radiation products derived from homogenized measurements of AVHRR on board the polar orbiting NOAA (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) and Metop (A) satellites. Herein, we used CFC monthly means compiled from all AVHRR sensors over a time period 1982-2015 and provided by CM SAF on a global regular latitude-longitude grid with 0.25 degree resolution.…”
Section: Clara-a2mentioning
confidence: 99%
“…The CM SAF cLouds, Albedo and Radiation dataset from the AVHRR (CLARA-A2) data record [10] is the second edition of the CM SAF's global data record of cloud, surface albedo and surface radiation products derived from homogenized measurements of AVHRR on board the polar orbiting NOAA (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) and Metop (A) satellites. Herein, we used CFC monthly means compiled from all AVHRR sensors over a time period 1982-2015 and provided by CM SAF on a global regular latitude-longitude grid with 0.25 degree resolution.…”
Section: Clara-a2mentioning
confidence: 99%
“…), are used to conduct research on understanding the effects of aerosols [61] and clouds [62], which have large temporal and spatial variabilities, on radiation [18]. It can also be applied as basic input for numerical prediction and climate models, which will contribute to improving the accuracy of the calculation [63] and further monitoring of radiation balance to understand the mechanism of climate change [64]. As a preliminary study for the radiative element output of GK-2A/AMI, the successor satellite of the Republic of Korea, this study will guide future research and development of the sensor.…”
Section: Discussionmentioning
confidence: 99%
“…The long data record is helpful in analyzing the changes in the Earth's energy budget during the past several decades. Narrowband to broadband regressions have been derived based on the overlap between the MVIRI and Geostationary Earth Radiation Budget instruments from 2004 to 2006, and the CERES Tropical Rainfall Measurement Mission (TRMM) ADMs have been used to compute the TOA reflected solar radiation from the broadband radiances [16]. The products include daily means, monthly means, and monthly averages of the hourly integrated values.…”
Section: Climate Monitoring Satellite Application Facility (Cm Saf)mentioning
confidence: 99%
“…Estimation of TOA albedo from remote sensing data is a unique means to generate TOA albedo products at regional or global scales. Different algorithms have been proposed to estimate TOA albedo from satellite data, and multiple TOA albedo products from both broadband and narrowband sensors have been developed [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], some of which have a relatively high spatial resolution that is helpful in studying the energy budget at regional scales [15][16][17].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation