Presentation is loading. Please wait.

Presentation is loading. Please wait.

Event week 24.06.2012 1 Operational products on Clouds and Radiation Clouds, Albedo, Top-of-Atmosphere Radiation and Surface Radiation Anke Kniffka Deutscher.

Published byAbel Lester Modified over 8 years ago

Similar presentations

Presentation on theme: "Event week 24.06.2012 1 Operational products on Clouds and Radiation Clouds, Albedo, Top-of-Atmosphere Radiation and Surface Radiation Anke Kniffka Deutscher."— Presentation transcript:

1 Event week 24.06.2012 1 Operational products on Clouds and Radiation Clouds, Albedo, Top-of-Atmosphere Radiation and Surface Radiation Anke Kniffka Deutscher Wetterdienst

2 Event week 24.06.2012 2 Contents 1.Overview 2.General features of the data fields 3.Application examples 4.Some questions?

3 Event week 24.06.2012 3 Overview The protagonists: 1) Meteosat second generation from Schmetz et al. (2002) -geostationary → high temporal resolution -field of view →constant with time, centered at 0°/0° -instruments used by CM SAF: SEVIRI + GERB

4 Event week 24.06.2012 4 Overview 2) global players NOAA + Metop NOAA18 from NASA website general information on satellite meteorology can be found at: http://eumetrain.org/courses/basic_satellite_meteorology.html -polar orbiting → repetition cycle is 2/day -global view of the earth -instrument used by CM SAF: AVHRR, ATOVS as well as CERES on AQUA

5 Event week 24.06.2012 5 General features The CM SAF products are categorized in “near real time” operational products (routinely and operationally produced data sets in support to climate monitoring) data sets based on carefully intersensor calibrated radiances

6 Event week 24.06.2012 6 General features The CM SAF products are categorized in “near real time” operational products (routinely and operationally produced data sets in support to climate monitoring) data sets based on carefully intersensor calibrated radiances

7 Event week 24.06.2012 7 Clouds Macrophysics Microphysics Time range: 2005 – now Coverage: MSG full disk; Arctic & Europe (from AVHRR) Surface Radiation Solar incoming & reflected Thermal outgoing & netto Radiation Budget Time range: 2005 - now Coverage: MSG full disk Top-of-Atmosphere Radiation Solar & Thermal Time range: 2004 – now Coverage: MSG full disk & Arctic Watervapour and temperature Profiles Time range: 2004 – now Coverage: Global Operational Products Watervapour and Energyfluxes Climate Datasets CM SAF Data Clouds Macrophysics Microphysics Surface Radiation Solar incoming & reflected Thermal outgoing & netto Radiation Budget AVHRR-GAC Global Coverage 1982 - 2009 MAGICSOL (Surf.Rad.Dataset) Meteosat full disk 1983 - 2005 HOAPS Globally over ice free ocean 1987 - 2006 Surface Radiation Solar incoming & reflected Clouds Cloudalbedo Available operational Products and Datasets

8 Event week 24.06.2012 8 General features Products are available in various temporal formats: - daily mean - monthly mean - monthly mean diurnal cycle also available on special request: - non-averaged products, so-called level 2 data like SEVIRI cloud mask in hourly resolution

9 Event week 24.06.2012 9 General features Product example daily mean: daily average is created from cloud mask (yes/no, maybe decision for cloud), 24 timeslots/day, horizontal resolution is reduced from original SEVIRI pixel to 15x15 km² equal area grid minimum requirement: 6 slots or overpasses per day (clouds) cloud fractional coverage

10 Event week 24.06.2012 10 General features Product example monthly mean: monthly averages are created by averaging the daily mean products → each day gets the same weight minimal number of existing dm’s for a mm: depends on product, 20 in case of SIS solar incoming surface radiation shortwave

11 Event week 24.06.2012 11 General features Product example monthly mean diurnal cycle: for one month all data are averaged time slot wise, result is a file with 24 fields, one/hour minimum requirement: 20 days per slot (clouds) cloud top height

12 Event week 24.06.2012 12 General features Products are available for different areas also combinations of the areas are possible, e.g. top of atmosphere radiation combines all three areas

13 Event week 24.06.2012 13 Example: Surface broadband albedo (SAL) Broadband albedo over the solar spectrum Dedicated algorithms for different land cover and snow/ice Weekly and monthly products for: AVHRR Europe AVHRR Arctic SEVIRI Full Disc General features

14 Event week 24.06.2012 14 AVHRR Europe AVHRR Arctic SEVIRI Full Disc Broadband albedo over the solar spectrum Dedicated algorithms for different land cover and snow/ice Weekly and monthly products for: General features Example: Surface broadband albedo (SAL)

15 Event week 24.06.2012 15 AVHRR Europe AVHRR Arctic SEVIRI Full Disc Broadband albedo over the solar spectrum Dedicated algorithms for different land cover and snow/ice Weekly and monthly products for: General features Example: Surface broadband albedo (SAL)

16 Event week 24.06.2012 16 General features not only different areas but also varying grids: radiation and cloud products on all areas are provided in equal area grids with a horizontal resolution of 15*15 km² → Paris fits quite accurately into a SEVIRI pixel top of atmosphere radiation is provided in a 45*45 km² equal area grid on the CMSAF baseline area plus MSG disk and inner arctic → 177 pixel needed for Germany

17 Event week 24.06.2012 17 General features Documentation: can be found on our website at “CM SAF documentation” http://www.cmsaf.eu most necessary documents are the “PUMs” → Product user manuals (covered areas, processing details) and the “ATBD’s” → Algorithm theoretical basis documents (description of retrieval physics) validation reports → show quality of the products via comparison with synoptic data, ground based measurements as well as satellite measurements

18 Event week 24.06.2012 18 General features question for all: Which of those products are day-time-only? solar incoming surface radiation cloud fractional cover cloud water path

19 Event week 24.06.2012 19 General features Auxiliary data and tools available on the website like viewing software or latitude/longitude gridfiles at “Data access” software changes or missing data are notified in the “service messages”

20 Event week 24.06.2012 20 General features Properties of operational products +early and regularly available +regular update of the software +quality control via service specification -inconsistent due to software changes -not so carefully intercalibrated

21 Event week 24.06.2012 21 General features Advantages/Disadvantages compared to datasets Example: influence of software changes:

22 Event week 24.06.2012 22 General features Advantages/Disadvantages compared to datasets Example: influence of software changes: SAL mm

23 Event week 24.06.2012 23 General features small question, just 4 fun: Cloud mask at 12:00 UTC, geostationary CFC mm from polar orbiter, morning orbit (12:00 LT)

24 Event week 24.06.2012 24 General features small question, just 4 fun: Cloud mask at 12:00 UTC, geostationary CFC mm from polar orbiter, morning orbit (12:00 LT)

25 Event week 24.06.2012 25 General features small question, just 4 fun: Cloud mask at 12:00 UTC, geostationary CFC mm from polar orbiter, morning orbit (12:00 LT)

26 Event week 24.06.2012 26 General features small question, just 4 fun: Cloud mask at 12:00 UTC, geostationary CFC mm from polar orbiter, morning orbit (12:00 LT) Is the local measurement time still equal everywhere for a geostationary image? Yes No

27 Event week 24.06.2012 27 Application examples Some examples of analysis by our users and ourselves 1)cloud products 2)radiation combined with clouds 3)surface albedo 4)top of atmosphere

28 Event week 24.06.2012 28 Application examples Meridional position of maximal CTH → monitor variation of Inner Tropical Convergence Zone (ITCZ) Maximal deviation (north/south) follows 1 month after maximal/minimal insolation → following theory Meridional variation of CTH

29 Event week 24.06.2012 29 Application examples CTH of CM SAF is compared to COSMO-CLM simulation at special conditions aim: find out, if similar cloud patterns are produced with COSMO-CLM settings: COSMO-CLM’s simulation domain was changed to cover the African continent (from project RiftLink, see Kaspar and Cubasch, 2008) COSMO model in Climate Mode

30 Event week 24.06.2012 30 Application examples Mm 06/2001: CLM over East Africa with ERA40 forcing, CLM(2006), Frank Kaspar COSMO model in Climate Mode

31 Event week 24.06.2012 31 Application examples CLM over East Africa with ERA40 forcing, CLM(2006), Frank Kaspar COSMO model in Climate Mode

32 Event week 24.06.2012 32 Application examples CTH from SEVIRI (June 2007) (June 2001) COSMO model in Climate Mode 1230.98 and 296.19 (for June 2007) 1820.23 853.25 (mm 08/2006 – 09/2009) 1286.72 366.80 mean value and standard deviation

33 Event week 24.06.2012 33 Application examples SepOctNovDec MFG: 01/1983-12/2005 MSG: since 09/2005 September 2005 MVIRI (dataset) SEVIRI (product) MVIRI-SEVIRI Global radiation

34 Event week 24.06.2012 34 Application examples MVIRI (dataset)SEVIRI (operational) Sep Oct Nov Dec Anomalies: (Reference period 1983-2005) 2005 Absolute Anomalies: correction of bias? Percentile: adaption of variances? Global radiation

35 Event week 24.06.2012 35 Application examples Hovmöller-plots (2005-2011 anomalies, SEVIRI only) Global radiation

36 Event week 24.06.2012 36 Application examples Hovmöller-plots (Sep 1983-2011 anomalies, SEVIRI and MVIRI) Global radiation

37 Event week 24.06.2012 37 Application examples Indices (October 2010) cloudy days (>=6 octas) sunny days (<=2 octas) AVHRRSEVIRI Sunshine duration

38 Event week 24.06.2012 38 Application examples CM SAF: Cloud Type CM SAF: Direct Radiation Method following Good (Weather 2010): Clouds -> 0 No Clouds -> 1 Fractional Clouds -> 0.5 Semi-transparent Clouds -> Threshold SEA WMO-Definition: direct radiation >120 W m-2 Normalization : Sunshine duration

39 Event week 24.06.2012 39 Application examples sum per daysum per month CTY SID Sunshine duration SID = surface incoming direct radiation CTY = cloud type

40 Event week 24.06.2012 40 Application examples Surface broadband albedo: Snow melt timing in Finland Correlation between SAL SMD and in situ-based SMD Images from Rinne et al. (2009): A Simple Method to Determine the Timing of Snow Melt by Remote Sensing with Application to the CO 2 Balances of Northern Mire and Heath Ecosystems, Remote Sens. 2009, 1(4), MDPI. Snow melt onset day (SMD) derived from SAL products, Based on tracking the drop in snow albedo as melt begins day of year

41 Event week 24.06.2012 41 Application examples 10 year annual mean Ceres EBAF net incoming radiation W/m² Top of atmosphere albedo

42 Event week 24.06.2012 42 Application examples El Nino / La Nina characterisation Mulitvariate El nino index [Wolters,2011] La Nina – El Nino change = average over 5 strongest La Nina years - average over 5 strongest El Nino years Long term change = average over last 5 years - average over first 5 years Top of atmosphere albedo

43 Event week 24.06.2012 43 Application examples Long term change compared to La Nina – El Nino Long term La Nina –El Nino Main change: strengthening of La Nina –Consistent with 'break' in global warming. Faint warming in the Arctic, related to ice melting ? Top of atmosphere albedo

44 Event week 24.06.2012 44 Application examples 7 year GERB mean diurnal cycle Top of atmosphere albedo

45 Event week 24.06.2012 45 Application examples 7 year GERB mean diurnal cycle Top of atmosphere albedo

46 Event week 24.06.2012 46 To sum up This is CM SAF’s product suite at a glance: available via the web- user-interface at our website http://wui.cmsaf.eu

47 Event week 24.06.2012 47 Questions? Thank you for you attention!

Download ppt "Event week 24.06.2012 1 Operational products on Clouds and Radiation Clouds, Albedo, Top-of-Atmosphere Radiation and Surface Radiation Anke Kniffka Deutscher."

Similar presentations

EURO4M kick off meeting The CM-SAF expections on EURO4M R.W. Mueller, J. Lennhardt, C.Träger, J. Trentmann DWD.

EURO4M kick off meeting The CM-SAF expections on EURO4M R.W. Mueller, J. Lennhardt, C.Träger, J. Trentmann DWD.
Beyond Spectral and Spatial data: Exploring other domains of information GEOG3010 Remote Sensing and Image Processing Lewis RSU.

Beyond Spectral and Spatial data: Exploring other domains of information GEOG3010 Remote Sensing and Image Processing Lewis RSU.
MODIS The MODerate-resolution Imaging Spectroradiometer (MODIS ) Kirsten de Beurs.

MODIS The MODerate-resolution Imaging Spectroradiometer (MODIS ) Kirsten de Beurs.
Retrieving Cloud Properties for Multilayered Clouds Using Simulated GOES-R Data Fu-Lung Chang 1, Patrick Minnis 2, Bing Lin 2, Rabindra Palikonda 3, Mandana.

Retrieving Cloud Properties for Multilayered Clouds Using Simulated GOES-R Data Fu-Lung Chang 1, Patrick Minnis 2, Bing Lin 2, Rabindra Palikonda 3, Mandana.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.

TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Brief Overview of CM-SAF & Possible use of the Data for NCMPs.

Brief Overview of CM-SAF & Possible use of the Data for NCMPs.
16/06/20151 Validating the AVHRR Cloud Top Temperature and Height product using weather radar data COST 722 Expert Meeting 9.-11. 6. 2004 Sauli Joro.

16/06/20151 Validating the AVHRR Cloud Top Temperature and Height product using weather radar data COST 722 Expert Meeting Sauli Joro.
VENUS (Vegetation and Environment New µ-Spacecraft) A demonstration space mission dedicated to land surface environment (Vegetation and Environment New.

VENUS (Vegetation and Environment New µ-Spacecraft) A demonstration space mission dedicated to land surface environment (Vegetation and Environment New.
Brief Overview of CM-SAF & Possible use of the Data for NCMPs.

Brief Overview of CM-SAF & Possible use of the Data for NCMPs.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.

Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Sustained generations of upper tropospheric humidity Climate Data Records from multiple sensors with multi-agency cooperation.

Sustained generations of upper tropospheric humidity Climate Data Records from multiple sensors with multi-agency cooperation.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
3 rd G-VAP Workshop Fort Collins, CO September 30 – October 2, 2013 1 NOAA’s National Climatic Data Center Correlation of Upper Tropospheric Humidity (UTH)

3 rd G-VAP Workshop Fort Collins, CO September 30 – October 2, NOAA’s National Climatic Data Center Correlation of Upper Tropospheric Humidity (UTH)
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES-GOES Blended SST Analysis.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES-GOES Blended SST Analysis.
Karl-Göran Karlsson SMHI, Sweden

Karl-Göran Karlsson SMHI, Sweden
Meteosat MVIRI surface radiation dataset

Meteosat MVIRI surface radiation dataset
2015-10-02 SMHI in the Arctic Lars Axell Oceanographic Research Unit Swedish Meteorological and Hydrological Institute.

SMHI in the Arctic Lars Axell Oceanographic Research Unit Swedish Meteorological and Hydrological Institute.
MT Workshop - 17-20 October 2005 JUNE 2004 DECEMBER 2004 End of OCTOBER 2005 ? MAY 2002 ? Capabilities of multi-angle polarization cloud measurements from.

MT Workshop October 2005 JUNE 2004 DECEMBER 2004 End of OCTOBER 2005 ? MAY 2002 ? Capabilities of multi-angle polarization cloud measurements from.
Challenges with AVHRR retrieval at high-latitudes ESA LTDP meeting DLR, Munich 20-21 April 2015 Karl-Göran Karlsson SMHI, Norrköping, Sweden Öystein Godöy.

Challenges with AVHRR retrieval at high-latitudes ESA LTDP meeting DLR, Munich April 2015 Karl-Göran Karlsson SMHI, Norrköping, Sweden Öystein Godöy.
1 EUMETSAT SAF NETWORK Lothar Schüller, EUMETSAT SAF Network Manager.

1 EUMETSAT SAF NETWORK Lothar Schüller, EUMETSAT SAF Network Manager.

Similar presentations

Ads by Google