The satellite application facility on climate monitoring

Woick, H.; Dewitte, Steven; Feijt, A.; Gratzki, A.; Hechler, P.; Hollmann, Rainer; Karlsson, Karl‐Göran; Laine, Vesa; Löwe, Peter; Nitsche, H.; Werscheck, M.; Wollenweber, Gabriele C.

doi:10.1016/s0273-1177(02)80290-3

Cited by 16 publications

(9 citation statements)

References 13 publications

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“…These products were mainly discussed and defined during the development phase of the CM-SAF (Woick et al, 2002). The list of products reflects atmospheric parameters that can be derived from sensors on-board operational satellites with state-of-the-art retrieval schemes.…”

Section: Products Retrieval Schemes and Validationmentioning

confidence: 99%

Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF)

et al. 2009

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Abstract. The Satellite Application Facility on Climate Monitoring (CM-SAF) aims at the provision of satellite-derived geophysical parameter data sets suitable for climate monitoring. CM-SAF provides climatologies for Essential Climate Variables (ECV), as required by the Global Climate Observing System implementation plan in support of the UNFCCC. Several cloud parameters, surface albedo, radiation fluxes at the top of the atmosphere and at the surface as well as atmospheric temperature and humidity products form a sound basis for climate monitoring of the atmosphere. The products are categorized in monitoring data sets obtained in near real time and data sets based on carefully intercalibrated radiances. The CM-SAF products are derived from several instruments on-board operational satellites in geostationary and polar orbit as the Meteosat and NOAA satellites, respectively. The existing data sets will be continued using data from the instruments on-board the new joint NOAA/EUMETSAT Meteorological Operational Polar satellite. The products have mostly been validated against several ground-based data sets both in situ and remotely sensed. The accomplished accuracy for products derived in near real time is sufficient to monitor variability on diurnal and seasonal scales. The demands on accuracy increase the longer the considered time scale is. Thus, interannual variability or trends can only be assessed if the sensor data are corrected for jumps created by instrument changes on successive satellites and more subtle effects like instrument and orbit drift and also changes to the spectral response function of an instrument. Thus, a central goal of the recently started Continuous Development and Operations Phase of the CM-SAF (2007–2012) is to further improve all CM-SAF data products to a quality level that allows for studies of interannual variability.

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Section: Products Retrieval Schemes and Validationmentioning

confidence: 99%

Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF)

et al. 2009

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“…The CM-SAF contributes to the sustainable observing of the climate system by providing Essential Climate Variables [2] related to the energy and water cycle of the atmosphere [3,4]. A central task of the CM-SAF is the generation of satellite based Climate Data Records (CDRs).…”

Section: Introductionmentioning

confidence: 99%

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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“…It contributes to the operational long term monitoring of the climate system by providing Essential Climate Variables [2] related to the energy and water cycle of the atmosphere. These are currently cloud parameters, surface and top of atmosphere (TOA) radiation budget components and atmospheric water vapor [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

A New Algorithm for the Satellite-Based Retrieval of Solar Surface Irradiance in Spectral Bands

et al. 2012

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Accurate solar surface irradiance data is a prerequisite for an efficient planning and operation of solar energy systems. Further, it is essential for climate monitoring and analysis. Recently, the demand on information about spectrally resolved solar surface irradiance has grown. As surface measurements are rare, satellite derived information with high accuracy might fill this gap. This paper describes a new approach for the retrieval of spectrally resolved solar surface irradiance from satellite data. The method combines a eigenvector-hybrid look-up table approach for the clear sky case with satellite derived cloud transmission (Heliosat method). The eigenvector LUT approach is already used to retrieve the broadband solar surface irradiance of data sets provided by the Climate Monitoring Satellite Application Facility (CM-SAF). This paper describes the extension of this approach to wavelength bands and the combination with spectrally resolved cloud transmission values derived with radiative transfer corrections of the broadband cloud transmission. Thus, the new approach is based on radiative transfer modeling and enables the use of extended information about the atmospheric state, among others, to resolve the effect of water vapor and ozone absorption bands. The method is validated with spectrally resolved measurements from two sites in Europe and by comparison with radiative transfer calculations. The validation results demonstrate the ability of the method to retrieve accurate spectrally resolved irradiance from satellites. The accuracy is in the range of the uncertainty of surface Remote Sens. 2012, 4 623 measurements, with exception of the UV and NIR (≥ 1200 nm) part of the spectrum, where higher deviations occur.

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The satellite application facility on climate monitoring

Cited by 16 publications

References 13 publications

Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF)

Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF)

Digging the METEOSAT Treasure—3 Decades of Solar Surface Radiation

A New Algorithm for the Satellite-Based Retrieval of Solar Surface Irradiance in Spectral Bands

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