Current Satellite Observing Network and its Future Evolution

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Presentation transcript:

Current Satellite Observing Network and its Future Evolution A brief introduction to the Satellite GOS What does WMO do? EPS Second Generation / Meteosat Third Generation ESA Earth Explorer missions: EarthCARE and Aeolus Quick summary of other missions Stephen English Stephen.English@ecmwf.int

Roughly 1/3rd from American, 1/3rd from European and 1/3rd from Asian countries.

Data coverage e.g. MHS NOAA-18 NOAA-19 Metop-A Metop-B

Satellite Equatorial Crossing Times (courtesy of Eric Nelkin) Mid AM Early AM PM Europe China South Korea? US e.g. Metop T i m e e.g. currently NOAA-18 Colours for satellite names denotes what they started as e.g. NOAA-18 started as PM, and has drifted to Early AM e.g. currently NOAA-18

WMO Coordination and WIGOS WMO is striving towards a coordinated global observing system (WMO Integrated Global Observing System – WIGOS) Trying to make sure national efforts are complementary WIGOS Design China Europe United States Others (Korea, Canada…..) Japan India Russia

WMO Integrated Global Observing System (WIGOS) Examples of questions we use NWP Data Assimilation techniques to study: Very specific questions e.g. Would it be beneficial for the Chinese FY3 program to move to the “early morning orbit” with the Europeans occupying the “mid morning orbit” and the Americans the “afternoon orbit”? Preparation for future instruments such as lidar and radar (EarthCARE) – will these observations make a difference? Which observations are most critical to forecast skill? Monitoring the quality of observations – protecting the operational system e.g. HCN event. Protecting our needs e.g. Radiofrequency interference.

Developing WIGOS Vision for WIGOS in 2025 adopted June 2009 Vision for WIGOS in 2040 drafted: Goal of new WIGOS vision by 2018 or 2019 Sets goals for the Space Agencies and attempts to coordinate WMO Space provide detailed support for satellite data from www.wmo-sat.info: OSCAR lists what exists, what is planned, what it can do, how this compares to requirements: http://www.wmo-sat.info/oscar/ SATURN provides detailed information to prepare for forthcoming launches: data availability, formats, meta data, test data, points of contact: https://www.wmo-sat.info/satellite-user-readiness/ The Product Access Guide provides information on existing datasets and how to obtain them: https://www.wmo-sat.info/product-access-guide/

A little of the history that led to EPS-SG… EPS Second Generation A little of the history that led to EPS-SG… 1970s : Research sounders with a few channels = SCAMS,VTPR+ 1979 : TOVS (NOAA) = HIRS/2→/3,MSU,SSU,AVHRR 1999 : ATOVS (NOAA) = HIRS/3→/4,AMSU-A,AMSU-B→MHS,AVHRR 2002 : A-train: AIRS,MODIS,CloudSat,Calipso+ 2007 : EPS First Generation (Metop) = ATOVS + IASI, ASCAT, GRAS, GOME-2 2011 : S-NPP = ATMS, CrIS, VIIRS, OMPS (USA) 2013 : FY3-C = MWHS-2, MWTS-2, MWRI, IRAS, GNOS, … (China) 2014 : Meteor M N2 = MTVZY-GA, IKFS, … (Russia) 2021: EPS-SG EPS-SG-A (3 sats) 2021-2042 = mostly EPS follow on instruments EPS-SG-B (3 sats) 2022-2043 = mostly new instruments

1. Updated counterparts to Metop 1st generation EPS Second Generation 1. Updated counterparts to Metop 1st generation ATOVS + AVHRR/MODIS → MWS + MetImage IASI → IASI-NG ASCAT → SCA (on EPS-SG-B) GOME-2 → Sentinel-5 UVNS GRAS → RO 2. New capability MWI: based on SSM/I 3MI: based on POLDER and PARASOL (VIS/NIR/SWIR) ICI: completely new! Sub-mm imager for cloud ice

EPS-SG: Ice Cloud Imager - ICI Ice water path + Some information on particles (size, shape, orientation….) ICI From CloudIce proposal (Buehler et al.) From John and Soden (2006)

3MI = POLDER + MODIS heritage Multi-directional : 10-14 views for one pixel Exploits bi-directional reflectivity Multi-polarization : ±60, 0o Multi-spectral : 12 channels 388 to 2130 nm (close to MODIS specification) EPS-SG: Multi-Viewing Multi-Channel Multi-Polarisation Imaging Mission - 3MI

Aerosol impacts – aerosol climatology change in ECMWF Cy43r3 Aerosol optical depth at 550 nm CAMS vs Operational climatology Improved summer monsoon 850 hPa wind impact (From 43r3 report)

Meteosat Third Generation A little of the history that led to MTG 1977 : Meteosat-1: 3 channel MVIRI instrument (by ESA) 1989 : Meteosat-4: first operational Meteosat 1995 : EUMETSAT takes over Meteosat operations 2002 : 2nd generational Meteosat: 12 channel SEVIRI on Meteosat-8 2005 : NASA plan GIFTS Geo interferometer launch but it never flies 2016 : NOAA launch GOES-16 with lightning imager 2016 : CMA launch FY4-A with GIIRS interferometer and a lightning imager 2020: Meteosat Third Generation MTG-I 2020 (4 sats) 2020-2039 MTG-S 2022 (2 sats) 2022-2037

Meteosat Third Generation 1. Updated counterparts to Meteosat second generation SEVIRI → FCI 16 channel imager European rapid scan 2.5 minutes, full disk 10 minutes. 2. New instruments IRS: IR interferometer LI: Lightning imager (777.4nm) UVN: Ultraviolet, Visible and Near IR imager

MTG: Infrared Sounder - IRS An imaging Fourier-interferometer Resolution of 0.625 cm-1 Two bands 700–1210 cm-1 Long-Wave InfraRed (LWIR) 1600–2175 cm-1 Mid-Wave InfraRed (MWIR) Spatial resolution of 4 km. Full Disk basic repeat cycle of 60 min. Note China’s FY4 series also carries an interferometer in Geo orbit FY4-A launched last year successfully ECMWF workshop in January 2017 dedicated to exploitation of high temporal Advanced IR Sounder information.

First images and data from FY4-A http://www.nsmc.org.cn/NSMC/Channels/FY4A_gallery_en.html

Aeolus: doppler wind lidar Active measurement of Doppler shift in backscattered laser Direct information on horizontal line of sight wind mostly in the zonal direction Provides a “curtain” of observations along orbit (2D cross section) Vertical resolution 250m (PBL) to 2km (Stratosphere) Horizontal resolution ~90km Winds are derived from molecular (Rayleigh) or particulate (Mie) backscattering Technologically challenging and launch date has changed many times. Now expected sometime in period December 2017 – January 2018.

Simulated Aeolus wind observations (M Rennie)

Aeolus: doppler wind lidar; why we need it! A very poor forecast for Europe at day 6. RMSE 4X normal value. Day 6 Day 5 Day 4 Day 2 Day 3 Error propagation from Tropics and interaction with convection in USA But on any given day some forecasts can be poor! ECMWF suffered a (mercifully extremely rare) data corruption problem on Saturday 28 June, which I’ll ask Florence just to say something about briefly. If we come back to an occasion where the issue was meteorological rather than data corruption. On 15 March 2014 ECMWF had its worst 6 day forecast for over a decade! Forecast had a ridge over western Europe and a trough over central Europe whereas in fact the flow was essentially zonal. Largest EDA spread on the globe was over the eastern tropical Pacific and the signal of this reached Europe 6 days later. 2-3 days into the forecast strong convection appeared over southern U.S. and amplified the propagating error. This indicates the importance of improved observations of tropical winds and the launch of the Aeolus satellite next year should help. It also suggests that the process of amplification of errors by convection needs to be understood better. (E Kallen)

200 mb winds on 15 March Traced to tropical wave: Work by Zagar demonstrated assimilation of Z only can’t generated the wind increments for tropical equatorial Rossby waves. “truth” Geopotential only Geopotential and wind (Zagar, 2004)

EarthCARE: cloud radar and lidar ThA-Train Launched 2006 NASA 700-km orbit CloudSat 94-GHz radar CALIPSO 532/1064-nm lidar MODIS, CERES and AMSR-E radiometers EarthCARE Expected launch c. 2018 ESA+JAXA 400-km orbit (more sensitive) CPR: 94-GHz Doppler radar ATLID: 355-nm lidar MSI and BBR radiometers

EarthCARE - clouds Demonstration with Cloudsat and Calipso data. Typhoon Choi-wan (Sept. 15th 2009) Demonstration with Cloudsat and Calipso data. 22 (Fielding and Janiskova)

EarthCARE: assimilation in 4D-Var B A δq δT Radar Lidar (S Di Michele and M Janisková)

GPM Feb 2014 Some missions 2014-18 FY4-A Dec 2016 2014 GPM February Sentinel-1A October Himawari-8 October 2015 SMAP January Sentinel-2A June MSG-4 July 2016 Sentinel-3A February INSAT-3DR September GOES-16 November Himawari-9 November FY4-A Dec 2017 Sentinel-2B March JPSS-1 FY3-D COSMIC-2a Aeolus Meteor-M N2 2018 Sentinel-5p Metop-C GOES-S OceanSat-3 ELEKTRO-L EarthCARE GEO-KOMPSAT-2A GOES-16 Nov 2016 Sentinel-3 Feb 2016 Meghatropiques Oct 2011 Sentinel-1 April 2014 FY3C Sept 2013

Summary We live in an incredible era for earth observation!!! Next few years will see a remarkable number of new and exciting new data sources Challenging: Need for generic tools (monitoring, observation operator, etc.) Need for international collaboration (e.g. NWPSAF that funds this course!) Need to realise WIGOS and the WMO Vision Need for easy to use information systems (OSCAR) Need for easier route to operations for new datasets (SATURN)