Spectral Aging Model Applied to Meteosat First Generation Visible Band

Decoster, I.; Clerbaux, Nicolas; Baudrez, Edward; Dewitte, Steven; Ipe, A.; Nevens, Stijn; Blazquez, Almudena Velazquez; Cornelis, Jan

doi:10.3390/rs6032534

Cited by 11 publications

(13 citation statements)

References 30 publications

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“…The sensitivity of the satellite instruments degrades seriously over time in the visible due to ageing processes of the optical devices. See Figure 14 for example and [74] for further details. The degradation of the sensitivity could easily lead to artificial trends in the retrieved solar radiation products.…”

Section: Homogeneity/stability Of Cdrsmentioning

confidence: 99%

“…"Calibration" and inter-calibration of satellite instruments are an essential pre-requisite for homogeneous and stable time series. Please see [51,74,75] and references therein for further details. Hereafter, some specific "calibration" issues are briefly discussed in order to enable a better understanding, without aiming for a detailed scientific discussion.…”

Section: Homogeneity/stability Of Cdrsmentioning

confidence: 99%

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Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation

et al. 2015

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Solar surface radiation data of high quality is essential for the appropriate monitoring and analysis of the Earth's radiation budget and the climate system. Further, they are crucial for the efficient planning and operation of solar energy systems. However, well maintained surface measurements are rare in many regions of the world and over the oceans. There, satellite derived information is the exclusive observational source. This emphasizes the important role of satellite based surface radiation data. Within this scope, the new satellite based CM-SAF SARAH (Solar surfAce RAdiation Heliosat) data record is discussed as well as the retrieval method used. The SARAH data are retrieved with the sophisticated SPECMAGIC method, which is based on radiative transfer modeling. The resulting climate data of solar surface irradiance, direct irradiance (horizontal and direct normal) and clear sky irradiance are covering 3 decades. The SARAH data set is validated with surface measurements of the Baseline Surface Radiation Network (BSRN) and of the Global Energy and Balance Archive (GEBA). Comparison with BSRN data is performed in order to estimate the accuracy and precision of the monthly and daily means of solar surface irradiance.The SARAH solar surface irradiance shows a bias of 1.

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Section: Homogeneity/stability Of Cdrsmentioning

confidence: 99%

Section: Homogeneity/stability Of Cdrsmentioning

confidence: 99%

Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation

et al. 2015

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“…This is also reflected in publications in this Special Issue, e.g., [5,11,12] and references therein. Use of satellite data within climate applications usually requires long data records extending the lifetime of a single remote sensing satellite.…”

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confidence: 95%

“…Decoster et al [5] analyze the spectrally dependent aging of the Meteosat First Generation satellites in the visible. Within this scope the reflections of a set of clear-sky and cloudy targets are analyzed and a spectral aging model is applied and discussed.…”

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confidence: 99%

Calibration and Verification of Remote Sensing Instruments and Observations

Müller

2014

Remote Sensing

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Satellite instruments are nowadays a very important source of information. The physical quantities (essential variables) derived from satellites are utilized in a wide field of applications, in particular in atmospheric physics and geoscience. In contrast to ground measurements the physical quantities are not directly measured, but have to be retrieved from satellite observations. Satellites observe hereby the reflection or emission of radiation by the Earth's surface or atmosphere, which enables the retrieval of respective physical quantities (essential variables). The physical basis for the retrieval is the interaction of the radiation with the Earth's atmosphere and surface. This interaction is defined by radiative transfer, which favors the use of radiances and their respective units within retrieval methods.However, the primary measurement quantity (unit) of the sensors consists of voltage or digital counts. Hence, calibration has to be applied in order to relate the digital counts (voltage) given by the sensor to the incoming radiances, consequently, the physical units of interest. The relation between the digital counts and the radiances (calibration coefficients) can be derived by comparison of the sensor signal with an absolute standard reference prior to launch. Nowadays, satellite instruments are usually well designed and calibrated prior to launch. Unfortunately, no matter how sophisticated the instruments are, once in space they degrade with time, e.g., due to thermal, mechanical or electrical effects or exposure to UV radiation. Yet, for the majority of remote sensing retrievals and applications calibrated data are essential. Sensor re-calibration (hereafter referred to as calibration) is therefore the basis of reliable remote sensing and ensuring the quality of the derived variables and products. However, after-launch comparison with reference standards of known accuracy is difficult to manage in terms of metrology. On-board calibration units being interpreted as the reference standard are subject to degradation processes as well, especially in the visible spectra. Moreover, many satellite sensors (especially in the visible spectra) are not adjusted by on-board calibration. Hence, in any case, post launch calibration is quite a challenging task, but is essential for physically defined retrieval of essential variables.

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“…Indeed, the aging of the VIS channel of the MVIRI instruments is known to be spectrally dependent [43][44][45][46] and in particular to be higher in the "blue" part of the spectrum (e.g., over clear ocean). For this purpose, the time series of the averaged clear-sky TRS fluxes are computed according to various surface types.…”

Section: Trs Stability According To the Scene Typementioning

confidence: 99%

The CM SAF TOA Radiation Data Record Using MVIRI and SEVIRI

et al. 2017

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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/3 km) resolution compared to, e.g., the CERES products. It also opens the door to the generation of a long data record covering a 32 years time period and extending from 1 February 1983 to 30 April 2015. The retrieval method used to process the CM SAF TOA Radiation MVIRI/SEVIRI Data Record is discussed. The overlap between the MVIRI and GERB instruments in the period 2004-2006 is used to derive empirical narrowband to broadband regressions. The CERES TRMM angular dependency models and theoretical models are respectively used to compute the TRS and TET fluxes from the broadband radiances. The TOA radiation products are issued as daily means, monthly means and monthly averages of the hourly integrated values (diurnal cycle). The data is provided on a regular grid at a spatial resolution of 0.05 degrees and covers the region 70 • N-70 • S and 70 • W-70 • E. The quality of the data record has been evaluated by intercomparison with several references. In general, the stability in time of the data record is found better than 4 Wm −2 and most products fulfill the predefined accuracy requirements.

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Spectral Aging Model Applied to Meteosat First Generation Visible Band

Cited by 11 publications

References 30 publications

Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation

Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation

Calibration and Verification of Remote Sensing Instruments and Observations

The CM SAF TOA Radiation Data Record Using MVIRI and SEVIRI

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