VWG.01 EUMETSAT Corporate Slide Collection (EUM/CIS/VWG/14/743878) Version 1, January 2014 MONITORING WEATHER AND CLIMATE FROM SPACE

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1 VWG.01 EUMETSAT Corporate Slide Collection (EUM/CIS/VWG/14/743878) Version 1, January 2014 MONITORING WEATHER AND CLIMATE FROM SPACE

Royal charter: 25/26 October 1859

From observation to decision making: EUMETSAT s role in the value adding chain Delivery and value Numerical Weather Prediction and other NMS Systems EMI: European Meteorological Infrastructure Public & private decision makers Citizens Diagnotics Forecasts Support to decision making Advice Warnings Decisions Socioeconomic Benefits Observation systems & related services Requirements Requirements

From observation to decision making: EUMETSAT s role in the cookie factory? Delivery and value Numerical Weather Prediction and other NMS Systems EMI: European Meteorological Infrastructure Public & private decision makers Citizens Diagnotics Forecasts Support to decision making Advice Warnings Decisions Socioeconomic Benefits Observation systems & related services Cookies for non complex, highly repetitive tasks, and if you eat it wrong it shouldn t kill you Requirements Requirements The people serving, eating and preparing the cookies talk to each other?

Cookie factory: Happiness is an empty control room

pics.eumetsat.int

pics.eumetsat.int

2016-11-25 06Z 0.8 micron

2016-11-25 06Z 10.8 micron

2016-11-25 06Z 6.2 micron

2016-11-25 06Z Airmass RGB

2016-11-25 06Z Night microphysics RGB

2016-11-25 06Z Dust RGB

Estimated benefits of EPS-SG in the period 2020-40 Estimated benefits of EPS-SG programme based on very conservative assumptions (8% contribution) BENEFIT AREAS Protection of property and infrastructure Added value to the European economy Private use by European citizens30 SOCIO-ECONOMIC BENEFIT (over 20 years of EPS/Metop-SG) MINIMUM LIKELY 1.5 billion 6.0 billion 11.3 billion 45.2 billion 3.0 billion 11.45 billion TOTAL 16 billion 63 billion Benefit to cost ratio of the EPS-SG programme (3.4 billion at 2012 e.c.) exceeds 20 and may even reach 60.

Loss of forecast skills in the event of satellite data loss 10 PERCENTAGE LOSS OF SKILL 5 0% -5-10 -15 LOSS OF METOP LOSS OF US POLAR LOSS OF IJPS -20-25 15 VWG.01 EUMETSAT Corporate Slide Collection (EUM/CIS/VWG/14/743878) Version 1, January 2014

Hurricane Sandy Five-day forecast of cyclone Sandy landfall on the US coast by the ECMWF global model, with (left) and without (right) ingestion of observations from polar orbiting satellites, compared to the operational analysis (best approximation of ground truth, centre)

Do we still need the pretty pictures. In operations In talking to clients In teaching and learning The models and integrated products are pretty good Yes right thing right time

Extreme Greenland ice sheet melt Scatterometer backscatter over Greenland changing dramatically from 8 and 11 July 2012. Imagery discriminates land (grey), summer melt (dark green), fast surface melt (red), refrozen melt (bright white) and non-melted (dark grey/blue). This event was likely due to extreme air surface temperature during those days.

EUMETSAT Data Centre 1800 1600 1400 VOLUME IN TERABYTES 1200 1000 800 600 400 200 0 YEAR 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Yearly retrieval Yearly ingestion

Climate record generation: an overview Meteosat-2 (M-2) M-3 M-4 M-3 M-4 M-5 4 2 RAOB SAT BT - BT 0[K] -2-4 YEAR 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 First implementation of operational calibration technique, 1 September 1987 Upgrade of calibration technique, 3 February 1994 ISCCP DX Normalised calibration instead of nominal, 1 January 1996 Differences between clear sky infrared Brightness Temperatures at 6.2 µm (from the ISCCP DX data set) from successive Meteosat satellites and those calculated from night-time radiosonde data available each month. The difference (in Kelvin) is plotted as a function of time, showing the need to cross-calibrate data from successive missions. (Source: Remy Roca, LMD)

Climate record generation: an overview Short and medium latency SATELLITE DATA ENVIRONMENTAL DATA RECORDS INTERIM CLIMATE DATA RECORDS ARCHIVED SATELLITE DATA AND RECORDS Long-term information preservation Climate Data Records FUNDAMENTAL CLIMATE DATA RECORDS* THEMATICAL CLIMATE DATA RECORDS** * Fundamental Climate Data Record (FCDR): a long-term data record of calibrated and qualitycontrolled sensor data designed to allow the generation of homogeneous products that are accurate and stable enough for climate monitoring Sustained applications Climate services MAJOR MODEL-BASED REANALYSIS CLIMATE INFORMATION RECORDS ** Thematic Climate Data Record (TCDR): a long-term data record of validated and qualitycontrolled geophysical variables derived from FCDRs. OPERATIONAL MONITORING OF WEATHER AND THE ENVIRONMENT OPERATIONAL CLIMATE MONITORING LONGER TERM CLIMATE VARIABILITY & CLIMATE CHANGE ANALYSIS ADAPTION & MITIGATION POLICY AND PLANNING (DECISION MAKING) Data conversion User service System performance monitoring and automated corrections Re-calibration / inter-calibration / reprocessing

Examples of available Climate Data Records Photovoltaic solar electricity potential based on Meteosat solar irradiance climatology at the surface provided by CM SAF (Source CM SAF)

Utrecht

Den Haag

Milan

EUMETSAT mission planning... YEAR... 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 METEOSAT FIRST GENERATION METEOSAT-7 METEOSAT SECOND GENERATION METEOSAT-8. Move to IODC METEOSAT-9 METEOSAT-10 MSG-4 METEOSAT-11 METEOSAT THIRD GENERATION (MTG) MTG-I-1 MTG-S-1 MTG-I-2 MTG-I-3 MTG-S-2 MTG-I-4 EUMETSAT POLAR SYSTEM (EPS) METOP-A METOP-B METOP-C EPS-SECOND GENERATION (EPS-SG) METOP-SG SOUNDING & IMAGERY SATELLITES METOP-SG MICROWAVE SATELLITES JASON JASON-2 JASON-3 JASON CONTINUITY OF SERVICES (JASON-CS)

EPS Second Generation Primary mission: further improvement observational inputs to Numerical Weather Prediction models Significant improvements of other applications Nowcasting at high latitudes Marine meteorology and operational oceanography Operational hydrology Air quality monitoring Climate monitoring 27 VWG.01 EUMETSAT Corporate Slide Collection (EUM/CIS/VWG/14/743878) Version 1, January 2014

Meteosat Third Generation Imagery mission implemented by a twosatellite MTG-I system: Full disk imagery every 10 minutes in 16 spectral bands Fast imaging of European weather every 2.5 minutes new Lightning Imager (LI) Hyperspectral infrared (IRS) sounding mission: 3D mapping of water vapour, temperature, O3 every 1 hour Air quality monitoring and atmospheric chemistry in synergy with GMES Sentinel-4 Ultraviolet Visible 28 VWG.01 EUMETSAT Corporate Slide Collection (EUM/CIS/VWG/14/743878) Version 1, January 2014

From SEVIRI on MSG to FCI on MTG 1=VIS0.6 12=HRV 2=VIS0.8 3=NIR1.6 4=IR3.8 5=WV6.2 6=WV7.3 8=IR9.7 9=IR10.8 10=IR12.0 7=IR8.7 11=IR13.4 Slide: 29

From SEVIRI on MSG to FCI on MTG 1=VIS0.4 2=VIS0.5 3=VIS0.6 solar channels provided in 0.5 km / 1.0 km resolution thermal channels provided in 1 km / 2 km resolution 4=VIS0.8 7=NIR1.6 9=IR3.8 10=WV6.2 11=WV7.3 13=IR9.7 14=IR10.5 15=IR12.3 5=NIR0.9 6=NIR1.3 8=NIR2.2 12=IR8.7 16=IR13.3 Slide: 30

MTG Missions FCI Benefits Summary The 0.444 µm and the 0.51 µm channels will permit surpassing current aerosol retrievals especially over land also an important contribution to air quality monitoring The 0.91 µm channel will provide during daytime total column precipitable water especially over land surfaces. The 1.375 µm channel will improve detection of very thin cirrus clouds not seen by the current system introducing errors in all clear sky products. The 2.26 µm channel will provide the capability for an improved retrieval of cloud microphysics. The improved spatial resolution (1 km and 2 km) and the extended dynamical range (from 350 K to 450 K) of the 3.8 µm channel will firstly outperform the fire detection quality of MSG and secondly outbid the quality of products as Fire Radiative Energy (FRE) a climate relevant product directly related to the CO 2 production of active fires. Slide: 31

MTG Missions LI Benefits Summary The MTG LI measurements of total lightning will complement global measurements of ground based systems (e.g. ATDnet) improving the quality of information essential for air traffic routing and safety MTG-LI IC+CG lightning information to assess impact of climate change on thunderstorm activity by monitoring and long-term analysing lightning characteristics (coordination with NOAA s GLM mission on GOES-R and GOES-S essential) IC+CG information on a global scale as prerequisite for studying and monitoring the physical and chemical processes in the atmosphere regarding NOx, playing a key role in the ozone conversion process and acid rain generation IC+CG information on a global scale with known error-characteristic a prerequisite for: assimilation in regional models to improve very short range forecasts of convective events verification/validation of algorithms to nowcast (time and location) convective initiation Slide: 32

MTG Missions IRS Benefits Summary The IRS (30 min repeat cycle over Europe) will fill large spatial and temporal voids in the 12-hour standard radiosonde observations and will provide time and space interpolation of moisture/temperature observations taken from the polar orbiting satellites. The IRS derived information on tropospheric moisture structures and their variation in time is expected to lead to a better depiction of the hydrological cycle in models, potentially providing better precipitation forecast. The IRS will provide information on vertically resolved atmospheric motion vectors with improved height assignment, which in particular is beneficial for the tropical areas having only a weak coupling between the dynamic and thermodynamic atmospheric fields. The IRS will provide information to identify pre-convective situations supporting NWC applications to forecast convective initiation. IRS will support forecasting pollution and monitoring of atmospheric minor constituents through its capability to provide estimates of diurnal variations of tropospheric contributions of atmospheric trace gases as O 3 and CO. Slide: 33

Getting ready for MTG. ds Data flows Assimilation Product development Science Linkage between research and development Training and briefing