Outgoing Longwave Radiation Product: Product Guide

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Outgoing Longwave Radiation Product: Product Guide Doc.No. : EUM/OPS/DOC/09/5176 EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Issue : v1e Fax: +49 6151 807 555 Date : 6 May 2015 http://www.eumetsat.int WBS : EUMETSAT The copyright of this document is the property of EUMETSAT.

Document Change Record Issue / Revision Date DCN. No Summary of Changes 1 07/10/2010 Initial release 1A 28/06/2013 Update of images GERB and SEVIRI images 1B 10/2/2014 Version updated to web page 1C 11/2/2014 Updated page 4 to include Meteosat-10 in the list for supported platforms. 1D 19/3/2014 Added reference to document containing tables for flux calculations for Outgoing Longwave Radiation algorithm, 1E 6/5/2015 Changed document name to Product Guide. Review by Staff Scientist. Table of Contents 1 Outgoing Longwave Radiation... 3 2 Outline of Flux Calculations... 4 3 Comparison of OLR Product on SEVIRI and GERB... 5 4 Online Resources and Assistance... 10 4.1 Reference Documents... 10 4.2 Online Resources and Assistance... 10 Page 2 of 10

1 OUTGOING LONGWAVE RADIATION The Earth Radiation budget is made up of the incoming solar flux and the outgoing Top-of-the- Atmosphere (TOA) radiative fluxes. The outgoing radiative fluxes consist of the reflected part of the incoming solar flux, as well as the thermal flux emitted by the Earth-atmosphere system. The thermal flux is often referred to as Outgoing Longwave Radiation (OLR). The OLR is a very important parameter for the Earth's radiation budget study as well as for weather/climate model validation purposes. Variations in the OLR reflect the response of the Earth s atmosphere to solar diurnal forcing. In particular, those variations can be found in surface temperature, cloud cover, cloud top height, and related quantities like precipitation. The OLR is well suited for validation of global circulation models (GCMs) simulating the diurnal cycle, as it constitutes the combination of different model aspects. Figure 1: Example of OLR values from the SEVIRI instrument 23 Sept 2004, 1200 UTC. The OLR can be directly estimated from broadband radiance measurements by a satellite instrument such as the GERB. Alternatively, the OLR can be indirectly inferred from narrowband radiance observations. The SEVIRI OLR is obtained from the IR and WV radiance and the satellite viewing angle via a regression scheme. Page 3 of 10

2 OUTLINE OF FLUX CALCULATIONS The regression scheme is based on the algorithm developed for Meteosat First Generation satellites See [RD 3]. It involves two steps: the spectral radiances are first converted into spectral fluxes; this accounts for the effect of the viewing angle using limb-darkening functions. The spectral fluxes are then combined in an appropriate manner to get the total flux. Regression coefficients are determined with a radiative transfer model. The complete algorithm is in [RD 2]. See Section 4.1. The model calculations provided scene-dependent regression coefficients: these are a special set of coefficients for clear sky, opaque clouds, and semi-transparent clouds. This scene-dependency shows a clear improvement over a single set of coefficients, which would be applicable to any scene type. An application of this scheme thus implies a prior full scenes and cloud analysis of the respective Meteosat image. The underlying radiation model is SBDART [RD 4], and a comprehensive sample of atmospheric profiles is taken from Chevallier, 2002 [RD 5] together with a wide range of possible cloud layers, cloud properties and surface emissivities. Step 1: Conversion of spectral radiance to spectral flux Spectral Flux = a(θ) + Spectral Radiance b(θ) with: a(θ) = k 1 + k 2 (sec θ - 1) + k 3 (sec θ 1) 2 b(θ) = k 4 + k 5 (sec θ - 1) + k 6 (sec θ 1) 2 Note: the Spectral Radiance must be in units Wm -2 ster -1 ) The regression is valid for viewing angles up to 70 degrees. Step 2: Spectral Fluxes to Total Flux where: k flux(k) c(k,i) refers to the seven fluxes in the seven spectral channels spectral flux of channel number k special coefficients depending on which channels are used All coefficients referred to in Steps 1 and 2 can be found in [RD 6]. Tables include values for MSG-1 (Meteosat-8), MSG-2 (Meteosat-9), and MSG-3 (Meteosat-10). Page 4 of 10

3 COMPARISON OF OLR PRODUCT ON SEVIRI AND GERB The images in Figure Figure 2 through Figure 5 show comparisons of the SEVIRI OLR and the GERB OLR for Meteosat-8 and Meteosat-9. Note: There are two different observed biases for each Meteosat-8 plot: 1.3 W/m 2 and 1.9 W/m 2. There are two different observed biases for each Meteosat-9 plot: 0.70 W/m 2 and 3.37 W/m 2. Page 5 of 10

Meteosat-8 SEVIRI GERB Figure 2: Comparison of the Meteosat-8 SEVIRI OLR and the GERB OLR for 06 November 2006, 00:00 UTC, with an observed bias of 1.3 W/m 2 The SEVIRI OLR is slightly higher. Page 6 of 10

SEVIRI GERB Figure 3: Comparison of the Meteosat-8 SEVIRI OLR and the GERB OLR for 06 November 2006, 12:00 UTC, with an observed bias of 1.9 W/m 2 The SEVIRI OLR is slightly higher. Page 7 of 10

Meteosat-9 SEVIRI GERB Figure 4: Comparison of the Meteosat-9 SEVIRI OLR and the GERB OLR for 13 June 2008, 00:00 UTC, with an observed bias of 0.70 W/m 2 The SEVIRI OLR is slightly lower. Page 8 of 10

SEVIRI GERB Figure 5: Comparison of the Meteosat-9 SEVIRI OLR and the GERB OLR for 13 June 2008, 12:00 UTC, with an observed bias of 3.37 W/m 2 (SEVIRI OLR is slightly lower). Page 9 of 10

4 ONLINE RESOURCES AND ASSISTANCE 4.1 Reference Documents Ref Type Document Name Reference RD 1 Validation MSG-3 System Commissioning Product EUM/MSG/REP/12/0190 Validation Test Report RD 2 Research Outgoing longwave radiation and its diurnal variation at regional scales derived from Meteosat (Schmetz and Liu, 1988) RD 3 Detailed Algorithm ATBD for Outgoing Longwave Radiation Product RD 4 Research SBDART: Santa Barbara DISORT Atmospheric Radiative Transfer RD 5 Frédéric Chevallier, 2002: Sample databases of 60-level atmospheric profiles from the ECMWF analyses, RD 6 Research OLR Product: Conversion Tables for Spectral Radiance doi: 10.1029/88JD03035 EUM/OPS/DOC/09/5176 http://www.crseo.ucsb.edu/e srg/sbdart/ NWPSAF-EC-TR-004 EUM/TSS/DOC/14/751621 4.2 Online Resources and Assistance All of the reference documents listed above are on the EUMETSAT Technical Documents page. www.eumetsat.int > Satellites > Technical Documents > Meteosat Services > 0 Meteosat Meteorological Products Information about the service status of EUMETSAT satellites and the data they deliver is this EUMETSAT web page: www.eumetsat.int > Data > Service Status To get answers to any questions about data delivery, registration or documentation, contact the EUMETSAT User Service Help Desk: Telephone: +49 6151 807 3660/3770 e-mail: ops@eumetsat.int Page 10 of 10