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ROSHYDROMET ROSHYDROMET CALIBRATION/VALIDATION SYSTEM FOR CALIBRATION/VALIDATION SYSTEM FOR SATELLITE DATA AND PRODUCTSSATELLITE DATA AND PRODUCTS

GSICS Executive Panel 15 Guangzhou, 16 May 2014

State Research Center State Research Center ““ PLANETAPLANETA ””

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((Launched Launched 1717.09..09.2009)2009)

((LaunchedLaunched 2020.0.011..2011)2011)

RUSSIAN EARTH OBSERVATION SATELLITE SYSTEMRUSSIAN EARTH OBSERVATION SATELLITE SYSTEM

((Launched Launched 22.07.2012 )22.07.2012 )

((Launched Launched 2525.0.066..2013)2013)

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Roshydromet is continuing the deployment of ground-based calibration/validation system for satellite data and products. The system includes several CAL/VAL facilities based on Roshydromet observation network as well as on the measurement sites of other institutions, such as Russian Academy of Sciences (RAS), Saint Petersburg State University etc. An aircraft owned by Roshydromet is planned to be utilized in the future.

OverviewOverview

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Main objectives Main objectives of Roshydromet CAL/VAL systemof Roshydromet CAL/VAL system

– Validation of L2 products - the assessment of L2 products accuracy

and reliability based on comparison with reference data (with known

accuracy). It is performed to ensure user confidence in satellite-based

products.

– Vicarious calibration - Post-launch calibration and characterization

of in-orbit calibration performance for current and future Russian

LEO, GEO, and HEO meteorological satellite instruments.

– Tests to confirm the predefined performance characteristics of the

instruments.

– Preparing corrective coefficients for instrument calibration and

tuning of data processing algorithms.

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Functional block diagram Functional block diagram of Roshydromet Cal/Val systemof Roshydromet Cal/Val system

Site 1Petergof-Voeikovo

Site 2Valdai

Site 3ZOTTO

Site 4Gelendzhik

Module -1Validation of L2-

products

Atmospheric vertical profiles

Surface parameters

Cloudiness, aerosol and precipitation

parameters

Wind speed vertical profiles

Module -4Archiving and remote

access to ground truth observation

data

Roshydromet observation network and NWP data

Global ground-based network data

Roshydromet Cal/Val system

Module -3Archiving of

satellite data & products

METEOR-M and ELECTRO-L data

and products

Foreign satellite data and products

Module -2Calibration of

METEOR-M & ELECTRO-L instruments

Simulated data

OBSERVATION POLYGONS

MSU-MRMSU-GS

IKFS-2

MTVZA

BRLK «Severjanin»

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CAL/VAL System Overview CAL/VAL System Overview

Observation polygonsSRC “PLANETA”regional centers

Roshydromet observationnetwork

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Site 1. Peterhof Site 1. Peterhof ––Voeikovo Voeikovo

Fourier Transform Spectrometer Bruker IFS 120/125HR (SaintFourier Transform Spectrometer Bruker IFS 120/125HR (Saint-- Petersburg State University)Petersburg State University)

Registers of solar radiance spectra with high spectral resolution (up to 0.002 cm-1).

Provides:�Total water vapour content with accuracy of ~4%

�CH4 total column with accuracy of ~1.5%

�Ozone total column and vertical profile with accuracy of ~4%

Atmospheric vertical profiles

Cloudiness, aerosol and precipitation parameters

Wind speed vertical profiles

Instrumental facility

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Microwave radiometer HATPRO

All-weather measurements in troposphere with high

temporal resolution:

� Temperature profile

� Humidity profile

� Total water vapour content

� Cloud liquid water.

Features:

� 14 spectral channels (7 in oxygen absorption band 0.5 cm and 7 in water vapour absorption band 1.35 cm);

� 24-hours automatic mode

Instrumental facility (continuation)

Site 1. Peterhof Site 1. Peterhof ––Voeikovo Voeikovo

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Site 2. ValdaiSite 2. Valdai

� Standard meteorological and actinometrical observations.

� Weather radar data for area of 150-200 radius (MRL-5 and new Doppler radar)

� Water balance observations at Valdai lake area and small rivers in the vicinity.

� Precipitation measurements. This site is being used as a reference for intercomparison with different precipitation measurement techniques.

� Data archive on water balance observations.

Precipitation parameters Surface parameters

Measurements set of Russian State Hydrological Ins titute

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Site 2. ValdaiSite 2. Valdai

Observations of daily precipitation

Total precipitation estimates (SEVIRI)

Участок с кустарниковойплощадкой (зимние осадки)

Участок с лесной площадкой

Участок с кустарниковойплощадкой

Участки для измерения

осадков

Ground-basedDoppler weather radar

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ZOTTOZOTTO••••

CO2 and CH4 measurements at 301, 227, 158, 92, 52, and 4 m height

Aerosol measurements at 301, and 52 m height

CO measurements at 301, and 52 m height

Ozone, and NOx measurements at 30 m height

Meteorological measurements at 301, 227, 158, 92, 52, and 4 m height, and on the ground (Temperature, Wind, Humidity)

Biweekly flask sampling at 301 m height

Various irregular ecosystem measurements

O3 & CO total column measurements

Regular radiosonde measurements (about 80 km from ZOTTO)

Site 3. ZOTTOSite 3. ZOTTOAtmospheric vertical profiles

Surface parameters Wind speed vertical profiles

Measurements set of V.Sukachev Institute of Forest

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Ground-based instruments for trace gases measurements including green-house gases.Measurements of CO2 concentration with the accuracy of 0.25 ppm, (~0.06% of regular concentration) and CH4 with accuracy of 3.2 ppmb(0.16 % of regular concentration)

Site 3. ZOTTOSite 3. ZOTTOInstrumental facility in the tower and ground-based

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Diffraction monochromator at a measuring site

IR spectrometer for CO and CH4

total column measurementsSpectrometer is based on a diffraction monochromator of high spectral resolution (up to 0,2 cm-1 at 2÷3 µm band). Measurements are being made with direct solar irradiance.

Instrumental facility of A.M.ObukhovInstitute of Atmospheric Physics

Site 3. ZOTTOSite 3. ZOTTO

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� Shore measurements

�Buoy measurements

�Boat-based measurements

Provides:

Site 4. Site 4. GelendzhikGelendzhik

Instrumental facility of P.Shirshov Institute of Oceanology (Black Sea)

Sea surface parameters Sea level winds

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� GEO-to-LEO (GEO-monitored instrument, LEO-reference instrument)

� LEO-to-LEO (LEO-monitored instrument, LEO-reference instrument)

� GEO-to-GEO (GEO-monitored instrument, GEO-reference instrument)

� LEO-to-GEO-to-LEO or Double Difference Method (LEO-monitored

instrument, GEO-reference instrument, LEO-reference instrument)

GSICS intercalibration schemesGSICS intercalibration schemes

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ELECTROELECTRO--L General DesignL General Design

• Three-axis high-precision stabilization

• In-orbit mass - 1500 kg

• Payload mass - 370 kg• Lifetime - 10 years• Longitude - 76E• Data dissemination format - HRIT/LRIT• Image repeat cycle – 30/15 min

Mission objectives

• Operational observation of theatmosphere and the Earth surface(MSU-GS)

• Heliogeophysical measurements

• Maintaining Data Collection Systemand COSPAS/SARSAT Service

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MSUMSU--GS BGS Basicasic PPerformanceerformance CCharacteristicsharacteristicsNumber of channels• VIS

• IR

1037

Spectral range at half maximum of spectral response function (µm)

0.5-0.65; 0.65-0.80;0.8-0.9; 3.5-4.0;5.7-7.0; 7.5-8.5;8.2-9.2; 9.2-10.2;

10.2-11.2; 11.2-12.5

Image frame (deg x deg) 20 ± 0.5 x 20 ± 0.5

HRIT ground resolution in subsatellite point (km) 1.0 (VIS); 4.0 (IR)

S/N ratio for VIS channels ≥ 200

NE∆T at 300K (K)• in the band 3.5-4.0 µm• in the band 5.7-7.0 µm• in the band 7.5-12.5 µm

0.80.4

0.1-0.2

Power (W) ≤ 150

Weight (kg) ≤ 88

Lifetime of basic and reserve units (years) 10

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Generation of syntheticGeneration of syntheticMSUMSU--GS measurements from AIRS/Aqua dataGS measurements from AIRS/Aqua data

(GEO (GEO –– to to –– LEO intercalibration)LEO intercalibration)

),d)(RN1

,(FTb eff λλλλλλλλϕϕϕϕ⋅⋅⋅⋅λλλλ==== ∫∫∫∫λλλλ∆∆∆∆

λλλλ

,d)(where eff λλλλλλλλϕϕϕϕ⋅⋅⋅⋅λλλλ====λλλλ ∫∫∫∫λλλλ∆∆∆∆

λλλλλλλλϕϕϕϕ==== ∫∫∫∫λλλλ∆∆∆∆

d)(N

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Region of Interest for Region of Interest for

GEOGEO--toto --LEO intercalibrationLEO intercalibration

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CHANNEL 7CHANNEL 7

CHANNEL 8CHANNEL 8

Original MSU-GS data Synthetic MSU-GS data (AIRS based)

Methodical approach for comparison of brightness te mperatures TbMethodical approach for comparison of brightness te mperatures Tb

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CHANNEL 9CHANNEL 9

CHANNEL 10CHANNEL 10

Original MSU-GS data Synthetic MSU-GS data (AIRS based)

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MSU MSU –– GS intercalibration against AIRSGS intercalibration against AIRSDate UTC ∆Tb

Ch.#7 Ch.#8 Ch.#9 Ch.#10

08.11.2013 08.00 - 2.5 2.3 -24.11.2013 08.00 6.1 0.6 3.0 2.319.12.2013 08.00 5.5 2.2 3.0 -21.12.2013 08.00 4.6 2.0 - 3.022.12.2013 08.00 5 2.6 2.7 -04.01.2014 08.00 4.9 2.3 3.3 3.411.01.2014 08.00 4.5 1.9 3.0 -13.01.2014 08.00 4.6 2.6 2.9 2.116.01.2014 08.30 4.1 2.0 2.6 2.720.01.2014 08.00 5.8 2.6 3.8 3.925.01.2014 08.30 3.9 0.9 1.8 -27.01.2014 08.00 5.1 1.8 2.6 2.201.02.2014 08.30 5.2 2.2 2.8 -07.02.2014 08.30 4.6 2.1 3.1 2.710.02.2014 08.30 6.3 2.3 2.1 3.712.02.2014 08.00 4.5 2.2 2.9 2.817.02.2014 08.30 4.1 1.0 1.7 2.219.02.2014 08.30 4.3 1.7 2.6 2.121.02.2014 08.00 4.3 0.7 2.7 2.623.02.2014 08.00 4.3 3.8 2.6 2.224.02.2014 08.30 4.2 2.0 3.1 3.3

Mean 4.8 2.0 2.7 2.7StDev 0.7 0.7 0.5 0.6

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mean (∆Tb) = 4.8

stdev(∆Tb) = 0.6

Channel 7

Channel 8

Differences between synthetic and measured brightn ess Differences between synthetic and measured brightn ess temperatures temperatures

mean (∆Tb) = 2.0

stdev(∆Tb) = 0.7

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Channel 9

Channel 10

Differences between synthetic and measured brightn ess Differences between synthetic and measured brightn ess temperatures (continuation)temperatures (continuation)

mean (∆Tb) = 2.7

stdev(∆Tb) = 0.5

mean (∆Tb) = 2.7

stdev(∆Tb) = 0.6

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GEOGEO-- to to --GEO GEO IntercalibrationIntercalibration

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MSUMSU--GS & SEVIRI Spectral Response Functions GS & SEVIRI Spectral Response Functions

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SEVIRI & MSUSEVIRI & MSU--GS TGS TBB fieldsfields(with 0.5(with 0.5 °×°×°×°×°×°×°×°× 0.50.5°°°°°°°° averaging)averaging)

Comparison results:

Data,

2012

∆∆∆∆TSEV-MSU

,

K

StDev,

K

04.17 2.7 1.2

06.22 3.3 1.3

07.22 2.9 0.8

This can be explained by the different instruments calibration. A bias of 3.0K should be added to adjust MSU-GS data .

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ConclusionConclusion

1. Roshydromet is now continuing deployment of the

CAL/VAL system for satellite data and products.

2. First experiments with intercalibration of MSU-GS

instrument IR channels (GEO-to-LEO and GEO-to-

GEO) have shown operability of the proposed

techniques.

3. Methods have been developed for instruments’

intercalibration of the forthcoming Meteor-M N2

satellite.