Brief Overview of CM-SAF & Possible use of the Data for NCMPs.

Slides:



Advertisements
Similar presentations
Satellite-based Data Sets for EURO4M
Advertisements

EURO4M kick off meeting The CM-SAF expections on EURO4M R.W. Mueller, J. Lennhardt, C.Träger, J. Trentmann DWD.
3) Empirical estimate of surface longwave radiation Use an empirical estimate of the clear-sky surface downward longwave radiation (SDLc) to estimate the.
12th EMS Annual Meeting & 9th European Conference on Applied Climatology (ECAC) Łódź, Poland, 10 – 14 September 2012 The estimation of cloudiness and incoming.
2World Best World Best 365 Organization Direct general of National Meteorological Satellite Center (1) Satellite Development and Planning Division.
World Meteorological Organization Working together in weather, climate and water WMO OMM WMO Barbara J. Ryan Director, WMO Space Programme.
NWCSAF Workshop on Physical Retrieval of Clear Air Parameters from SEVIRI November 2007 – Madrid Humidity Products with Climate Quality from Infrared.
CM SAF Event Week HOAPS Thematic Climate Data Records Karsten Fennig, Axel Andersson, Marc Schröder Satellite Application Facility.
Near Surface Soil Moisture Estimating using Satellite Data Researcher: Dleen Al- Shrafany Supervisors : Dr.Dawei Han Dr.Miguel Rico-Ramirez.
Climate Forcing and Physical Climate Responses Theory of Climate Climate Change (continued)
Observed Reductions of Surface Solar Radiation at Sites in the United States and Worldwide from 1961 to 1990 Beate Liepert Lamont-Doherty Earth Observatory.
Princeton University Global Evaluation of a MODIS based Evapotranspiration Product Eric Wood Hongbo Su Matthew McCabe.
Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.
Brief Overview of CM-SAF & Possible use of the Data for NCMPs.
ENERGY BALANCE MODELS. Balancing Earth’s radiation budget offers a first approximation on modeling its climate Main processes in Energy Balance Models.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
World Renewable Energy Forum May 15-17, 2012 Dr. James Hall.
Karl-Göran Karlsson SMHI, Sweden
Meteosat MVIRI surface radiation dataset
Lunar libration a complication. Extinction demonstrates precision.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
SMHI in the Arctic Lars Axell Oceanographic Research Unit Swedish Meteorological and Hydrological Institute.
ISCCP at 30, April 2013 Concurrent Study of a) 22 – year reanalysis and extension of global water vapor over both land and ocean (NVAP–M) and b) the matching.
CLIM 690: Scientific Basis of Climate Change Climate Models and Their Evaluation.
EGU Vienna, Matthias Jerg on behalf of Cloud CCI Deutscher Wetterdienst The ESA Cloud CCI project.
1 Some in situ data matters considered by AOPC From the Progress Report: “Developed Countries have improved many of their climate observation capabilities,
What are the four principal windows (by wavelength interval) open to effective remote sensing from above the atmosphere ? 1) Visible-Near IR ( );
1 EUMETSAT SAF NETWORK Lothar Schüller, EUMETSAT SAF Network Manager.
Evaluation and applications of a new satellite-based surface solar radiation data set for climate analysis Jörg Trentmann1, Richard Müller1, Christine.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 GOES Solar Radiation Products in Support of Renewable Energy Istvan Laszlo.
Dataset Development within the Surface Processes Group David I. Berry and Elizabeth C. Kent.
1 CERES Results Norman Loeb and the CERES Science Team NASA Langley Research Center, Hampton, VA Reception NASA GSFC, Greenbelt, MD.
Land Surface Analysis SAF: Contributions to NWP Isabel F. Trigo.
Overview of the “Geostationary Earth Radiation Budget (GERB)” Experience. Nicolas Clerbaux Royal Meteorological Institute of Belgium (RMIB) In collaboration.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Long‐term satellite‐based datasets of atmospheric water vapour derived within CM SAF Martin Stengel, Marc Schröder, Nathalie Courcoux, Karsten Fennig,
Printed by Introduction: The nature of surface-atmosphere interactions are affected by the land surface conditions. Lakes (open water.
CM SAF Event Week 2012 – The satellite application facility on climate monitoring – the future June 2012 EUMETSAT‘s CM-SAF CDOP2 science overview.
September Advertisement: CM SAF Data freely available in netcdf-format User-friendly data access via the Web User Interface:
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
As components of the GOES-R ABI Air Quality products, a multi-channel algorithm similar to MODIS/VIIRS for NOAA’s next generation geostationary satellite.
R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.
GIST 21 st, Boulder The Surface Radiation Budget within the Satellite Application Facility on Climate Monitoring (CM-SAF) Rainer Hollmann.
09-Nov-2004Brussels, 09-Nov CM-SAF Surface Radiation Budget: First Results and Plans R. Hollmann, A. Gratzki, R. Mueller O. Sievers Deutscher Wetterdienst.
RMIB involvement in the Geostationary Earth Radiation Budget (GERB) and Climate Monitoring SAF projects Nicolas Clerbaux Remote sensing from Space Division.
Use of a high-resolution cloud climate data set for validation of Rossby Centre climate simulations Presentation at the EUMETSAT Meteorological Satellite.
ISCCP SO FAR (at 30) GOALS ►Facilitate "climate" research ►Determine cloud effects on radiation exchanges ►Determine cloud role in global water cycle ▬
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.
GRAS-SAF User Workshop June The H umidity C omposite P roduct of the CM-SAF Helga Nitsche Deutscher Wetterdienst, D Offenbach Content: The.
Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.
CM-SAF Board Meeting, Helsinki, September 2006 CM-SAF TOA radiation status report D. Caprion Royal Meteorological Institute of Belgium.
Estimation of Potential Evapotranspiration from Merged CERES and MODIS Observations Anand Inamdar & A. French Arid Land Agricultural Research Center (ALARC/ARS/USDA)
By: Kate Naumann And Colleen Simpkins. Aqua is a major international Earth Science satellite mission centered at NASA. It was launched on May 4, 2002.
SAG UV Last meetings: Melbourne, Australia, Jul 2011 Next meeting: Hannover, May 2015 Susana Diaz (Chair)
EuroGOOS Arctic Task Team Workshop September 2006 Satellite data portals for Arctic monitoring Stein Sandven Nansen Environmental and Remote Sensing.
EVALUATION OF A GLOBAL PREDICTION SYSTEM: THE MISSISSIPPI RIVER BASIN AS A TEST CASE Nathalie Voisin, Andy W. Wood and Dennis P. Lettenmaier Civil and.
Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,
Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.
NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.
1 Changes in global net radiative imbalance Richard P. Allan, Chunlei Liu (University of Reading/NCAS Climate); Norman Loeb (NASA Langley); Matt.
New HR-DDS User Services David J. S. Poulter, National Oceanography Centre, UK
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
The HOAPS-3 climatology
Zhang Hailong, Xin Xiaozhou, Liu Qinhuo
+ = Climate Responses to Biomass Burning Aerosols over South Africa
ECV definitions Mapping of ECV product with OSCAR variables
SCOPE-CM Statement of Needs John Bates (NOAA, SCOPE-CM Executive Panel Chair) Lothar Schüller (EUMETSAT, SCOPE-CM Secretariat)
Satellite-based climate data records of the surface solar radiation Jörg Trentmann, Uwe Pfeifroth, Steffen Kothe, Vivien Priemer.
Earth Radiation Budget: Insights from GERB and future perspectives
Presentation transcript:

Brief Overview of CM-SAF & Possible use of the Data for NCMPs

HISTORIC BACKGROUND Early 80’s: 1 st attempt to generate satellite based long term data series-International Sat Cloud Clim Project(ISCCP)- clim for short wave radiation; Followed by Pathfinder Atmosphere(PATMOS) project- Aerosol Optical Thickness ( ); SMHI Cloud ANalysis model using DIgital AVHRR data(SCANDIA)- cloud clim over Scandinavia – Cloud Classification ( ) ; NASA Water Vapour Project (NVAR)- research and understanding of variability of Earth’s water cycle ( ).

CM-SAF CM-SAF : The Satellite Application Facility on Climate Monitoring one of the 8 EUMETSAT’s SAF Network ( plays major role in EUMETSAT’s activities towards CM Consortium: Germany (leader), Finland, Belgium, Holland, Sweden and Switzerland Initial Operation Phase in no intercalibration of data from different satellites Continuous Development and Operations Phase(CDOP) ) further improve all the products in inter-annual variability Spatial coverage from regional to global

DATA SETs (ground-based) climate_saf_2011.html Christine Träger-Chatterjee andJörg Trentmann Highly accurate Important – used to validate and calibrate satellite data However Patchy (dense over land, sparse mainly over ocean) Even worse for upper-air observation

DATA SETs (satellite) climate_saf_2011.html Christine Träger-Chatterjee andJörg Trentmann Lot of climate processes over ocean (not covered by ground obs) Satellite provide a more complete picture + measures TOA. Monitor entire globe (polar orbiting sat) Monitor field of whole disk (geostationary sats)

DATA SETs Near real time data set Operationally generated on a monthly basis First-order satellite calibration is considered Not homogeneous over time Resulting time series not applicable for all climate monitoring purposes (eg trend estimation) Carefully inter-calibrated data set Generated on an irregular basis, e.g. every two years Calibrated and homogenized satellite data are applied Homogeneous over time Resulting time series should be fully applicable for climate monitoring (eg trend estimation, anomalies) Two types :

Near real time (express) data set Cloud  Include cloud fraction, optical depth daily and monthly mean, since 15km×15km Compared to surface obs, diff only < 10% Radiation Parameters  Surface Solar Irradiance (SIS) and thermal radiation daily and monthly means, since 15km×15km Compared to surface obs, diff only 10 w/m 2 Water vapour  globally and over ocean daily and monthly mean, since 90km×90km Compared to radiosondes, diff only 4 kgm -2 Generated within 8 weeks

Carefully inter-calibrated data set Water Vapour- Hamberg Ocean Atmosphere Parameters and Flux from Satellite (HOAPS) data set  Integrated water vapour over ocean monthly mean & 6hrly component, 0.5 o resolution (available)  Precipitation over ocean monthly mean, o resolution (available) Radiation Parameters  Global dataset for Solar Irradiation daily and monthly means, 0.25 o resolution (available spring 2012)  Surface Incoming Surface(SIS) radiation hourly, daily and monthly mean, 0.03 o resolution (available) Global data set for Cloud Coverage monthly mean, 0.25 o resolution (available spring 2012) Needs approximately 2 to 3 years

Carefully inter-calibrated data set Integrated water vapour over ocean Precipitation over ocean Surface Incoming Solar Radiation Cloud coverage

Future Plans extensions of the HOAPS data set may include an updated input data base or changes in homogenisation and/or retrieval schemes, i.e. from HOAPS to HOLAPS. release of CM-SAF’s CDOP 2 in spring 2012 with more focus to water cycle which will improve the usefulness of the products, provide a clear sky flux, provide globally balanced product, extend the time period and enlarge the area. setting up of the GEO ring to monitor the whole earth.

Recommendations Satellite products could be used to monitor the climate in data sparse areas such as the Oceans and some regions over land. The Surface Incoming Solar (SIS) radiation product has a wide range of applications in for example solar energy, climate monitoring and climate trend analysis. SIS from the satellite could be included in our list of the national climate monitoring products.