A clear‐sky radiance archive from Meteosat “water vapor” observations

Brogniez, Hélène; Roca, Rémy; Picon, Laurence

doi:10.1029/2006jd007238

Cited by 29 publications

(38 citation statements)

References 46 publications

(72 reference statements)

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“…It will provide a very good data set to study the variability of water vapor at intraseasonal scale. Brogniez et al (2006) found from a series of Meteosat First Generation data for the period 1983-2005 an asymmetry between the two hemispheres along the annual cycle. Whereas the intra-seasonal variability is homogeneous in the Southern Hemisphere the variability shows a distinct minimum in the Northern Hemisphere during the summer.…”

Section: The Integration Of New Products That Facilitate a Better Undmentioning

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: The Integration Of New Products That Facilitate a Better Undmentioning

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 elaboration of the Meteosat clear-sky radiance (CSR) archive is described in Brogniez et al (2006), and it is briefly revisited in Sect. 3.…”

Section: Input Datamentioning

confidence: 99%

Climatology of free-tropospheric humidity: extension into the SEVIRI era, evaluation and exemplary analysis

et al. 2014

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Abstract. A new free-tropospheric humidity (FTH) data record is presented. It is based on observations from the Meteosat Visible and Infrared Imager (MVIRI) onboardMeteosat-2-Meteosat-5, as well as Meteosat-7, and the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard Meteosat-8 and Meteosat-9 at the water absorption band near 6.3 µm. The data set is available under clear-sky and low-level cloud conditions. With the extension to SE-VIRI observations, the data record covers the period 1983-2009 with a spatial resolution of 0.625 • × 0.625 • and a temporal resolution of 3 h.The FTH is the mean relative humidity (RH) in a broad layer in the free troposphere. The relation between the observed brightness temperature (BT) and the FTH is well established. Previous retrievals are refined by taking into account the relative humidity Jacobians in the training process of the statistical retrieval. The temporal coverage is extended into the SEVIRI period, the homogenization of the BT record is improved, and the full archive is reprocessed using updated regression coefficients.The FTH estimated from the Meteosat observations is compared to the FTH computed from the RH profiles of the Analyzed RadioSoundings Archive (ARSA). An average relative bias of −3.2 % and a relative root-mean-square difference (RMSD) of 16.8 % are observed. This relative RMSD agrees with the outcome of an analysis of the total uncertainty of the FTH product. The decadal stability of the FTH data record is 0.5 ± 0.45 % per decade.As exemplary applications, the interannual standard deviation, the differences on decadal scales, and the linear trend in the FTH data record and in the frequency of occurrence of FTH < 10 % (FTHp10) are analyzed per season. Interannual standard deviation maxima and maxima in absolute decadal differences are featured in gradient areas between dry and wet regions, as well as in areas where FTH reaches minima and FTHp10 reaches maxima. An analysis of the FTH linear trends and of the associated uncertainty estimates is achieved to identify possible problems with the data record. Positive trends in FTHp10 are featured in gradient areas between wet and dry regions, in regions where the FTH is minimum, in regions where FTHp10 is maximum, and in regions where differences between FTHp10 averaged over the 2000s and 1990s are negative. However, these positive trends in FTHp10 are associated with maximum standard deviation and are thus hardly significant. This analysis and intercomparisons with other humidity data records are part of the Global Energy and Water Cycle Experiment (GEWEX) Water Vapor Assessment (G-VAP).

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“…The 6.3 µm BT, sensitive to high-altitude cloud and mid-to upper-tropospheric relative humidity (e.g. Brogniez et al, 2006), highlights the three main convective centres (with BT around 225 K) present in the GERB OLR field. Much of the ocean region to the south of the African coast experienced high BT (around 245 K), symptomatic of a dry, cloud-free upper troposphere.…”

Section: Convectively-generated Cloud Over the Gulf Of Guineamentioning

confidence: 99%

Evaluation of the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data

Allan

Slingo

Milton

et al. 2007

Quart J Royal Meteoro Soc

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ABSTRACT:Simulations of the top-of-atmosphere radiative-energy budget from the Met Office global numerical weatherprediction model are evaluated using new data from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-8 satellite. Systematic discrepancies between the model simulations and GERB measurements greater than 20 Wm −2 in outgoing long-wave radiation (OLR) and greater than 60 Wm −2 in reflected short-wave radiation (RSR) are identified over the period April-September 2006 using 12 UTC data. Convective cloud over equatorial Africa is spatially less organized and less reflective than in the GERB data. This bias depends strongly on convective-cloud cover, which is highly sensitive to changes in the model convective parametrization. Underestimates in model OLR over the Gulf of Guinea coincide with unrealistic southerly cloud outflow from convective centres to the north. Large overestimates in model RSR over the subtropical ocean, greater than 50 Wm −2 at 12 UTC, are explained by unrealistic radiative properties of low-level cloud relating to overestimation of cloud liquid water compared with independent satellite measurements. The results of this analysis contribute to the development and improvement of parametrizations in the global forecast model.

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A clear‐sky radiance archive from Meteosat “water vapor” observations

Cited by 29 publications

References 46 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)

Climatology of free-tropospheric humidity: extension into the SEVIRI era, evaluation and exemplary analysis

Evaluation of the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data

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