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Cloud-Aerosol-Radiation Mission Tobias ESA and Terry Nakajima

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Presentation on theme: "Cloud-Aerosol-Radiation Mission Tobias ESA and Terry Nakajima"— Presentation transcript:

1 Cloud-Aerosol-Radiation Mission Tobias Wehr @ ESA and Terry Nakajima
The Joint ESA-JAXA Cloud-Aerosol-Radiation Mission EarthCARE Tobias ESA and Terry Nakajima 1

2 Mission Summary Mission Objective
Understanding of cloud-aerosol-radiation interactions so as to include them correctly and reliably in climate and NWP models Required Global Observations: Vertical profiles of natural and anthropogenic aerosols, their radiative properties and interaction with clouds. Vertical distributions of atmospheric liquid water and ice, their transport by clouds and their radiative impact. Cloud distribution (‘cloud overlap’), cloud-precipitation interactions and characteristics of vertical motions within clouds. Retrieval of profiles of atmospheric radiative heating and cooling through the combination of the retrieved aerosol and cloud properties.

3 The EarthCARE Joint Mission Advisory Group (JMAG):
Co-chairs: A.J. Illingworth, T. Nakajima Members: H. Barker, A. Beljaars, H. Chepfer, J. Delanoë, D. Donovan, J. Fischer, P. Kollias, H. Kumagai, T.Y. Nakajima, H. Okamoto, M. Rapp, N. Sugimoto, Y. Takayabu, U. Wandinger Observers: G. Stephens, D. Vane, D. Winker

4 Instruments ATLID (High Spectral Resolution Lidar: HSRL)
355nm, telescope 62cmf, FOV 30m Mass 486kg, Power 585W, Data rate <660kb/s CPR 94.05GHz, Peak power Antenna 2.5 mf, PRF 6100Hz to 7500Hz Resolution: 500 m v, 750 m h, Sens. -35dBZ (10km) Doppler range ±10 m/s, accuracy 1 m/s (10km int., >-19dBZ) Mass 270 kg, Power 316 W, Data rate 270 kbps MSI Swath 150km, FOV 500m 0.67, 0.86, 1.65, 2.2, 8.8, 10.8 and 12.0 mm Mass 56 kg, Power 86 W, Data rate 515 kbps BBR FOV 10kmx10km SW ( mm, 2.5 W/m2 str), LW (4-50, 1.5 W/m2 str) Mass 48 kg, Power 45 W, Data rate 139 kbps MREF Structure Platform QOF DPM Mounting fastner

5 Multi-spectral Imager
Mission Summary Needs Techniques EarthCARE instruments Aerosols: Vertical profiles of extinction and characteristics of aerosols Clouds: Vertical profiles of liquid, supercooled and ice water, cloud overlap, particle size and extinction Lidar ATLID UV & HSR Radar CPR with Doppler CPR Vertical motion: Convective updraft and ice fall speed Doppler Radar 2-D Context: Clouds and aerosols horiz. structures Multi-spectral Imager MSI Radiation and Flux: Broad-band SW & TOA Broadband Radiometer BBR Temperature and humidity from operational analysis

6 Azimuth cut (TX Primary) w/o Thermal-shield film
CPR Development Status Antenna pattern measurement Final antenna measurement has been done. Beam pointing and sidelobe characteristics will be evaluated in comparison with calculated pattern. Azimuth cut (TX Primary) w/o Thermal-shield film

7 Doppler Velocity Measurement Accuracy
Doppler velocity accuracy Budget (CPR baseline = JMAG May 2008)

8 Simulation of EarthCARE/CPR product (PRF 7200Hz）
Y. Radar ref. factor Doppler velocity Raw data 500m （CPR L1 data） 1km 2.5km 5km 10km 8

9 Viewing geometries Payload & Level 1 Products:
HSR Lidar: λ=355nm with depol. channel: L1: attenuated backscatter profiles 95GHz Radar with Doppler (JAXA/NICT): L1: Reflectivity and Doppler profiles Multi-spectral Imager, 4 solar + 3 TIR channels L1: TOA radiances and brightness temperatures in 7 spectral bands Broad-band Radiometer, 3 fixed FoV L1: Filtered top-of-atmosphere radiances short- and long-wave 9

10 Satellite and ground segment
Launch: 2016 Mission: 3 yrs (incl. 6months commissioning)+ 1yr Orbit: MLST 14:00, 393km, 97°, 25/9 days Dry launch mass: 1873kg Average power consumption: 1645 W Communications: S-band, X-band Launch: 2016

11 Data analysis flow Science Data Products ESA Level 2 Processing Chain
Data volume per orbit Level 1: >20 GB Level 2: >55 GB

12 Example: A-Train Observations
CloudSat Radar CALIPSO Lidar target classification MODIS

13 Meteorology: Model Improvement
Example Data Usage Meteorology: Model Improvement Model improvement: ECMWF using CloudSat/CALIPSO data, “off-line” ECMWF (ESA Contract /07/NL/CB “QuARL”)

14 Example: Cloud Assimilation
First step: 1D-VAR cloud radar profile assimilation Date Use Example: Cloud Assimilation Credits: ECMWF (ESA Contract /07/NL/CB “QuARL”)

15 IR (10.8 m) brightness temperature
MTSAT (JMA, Japan)+ Chiba Univeristy, CEReS)+ globally-merged IR (CPC, NOAA) CloudSAT 94 GHz CALIPSO 532 nm NICAM global simulation：2008 TC Fengshen (Nasuno et al. 2009) RSTAR (CEReS; JMA satellite center) [Nakajima and Tanaka 1988] [Sekiguchi and Nakajima 2008] Tb, sim of convective clouds < Tb, obs in tropics More occurrence of the congestus (Tb, sim ~270 K) in tropics High  above convective cores simulated NICAM shows lower (higher) cloud top

16 Conclusions Finalizing the design of the EarthCARE instruments and satellite EM performance tests have been done Ground segment system design has been finished L2 software implementation started ECSIM and J-Simulator producing simulation results Validation RA issued (JAXA)

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