Applying the Heliosat-4 method to three different cloud properties databases for the estimation of the surface downwelling shortwave irradiance

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Submitted on 18 Dec 2019

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Applying the Heliosat-4 method to three different cloud

properties databases for the estimation of the surface

downwelling shortwave irradiance

Mireille Lefèvre, Sylvain Cros, Yves-Marie Saint-Drenan, Jan Fokke Meirink,

Marion Schroedter-Homscheidt, Hartwig Deneke, Martin Stengel

To cite this version:

Mireille Lefèvre, Sylvain Cros, Yves-Marie Saint-Drenan, Jan Fokke Meirink, Marion Schroedter-Homscheidt, et al.. Applying the Heliosat-4 method to three different cloud properties databases for the estimation of the surface downwelling shortwave irradiance. EMS Annual Meeting: Euro-pean Conference for Applied Meteorology and Climatology, Sep 2019, Copenhagen, Denmark. 16, pp.EMS2019-333, 2019. �hal-02418087�

www.oie.mines-paristech.fr

CONTACT

mireille.lefevre@mines-paristech.fr

AUTHORS

Centre O.I.E.

Observation, Impacts, Energie

(Sophia Antipolis, France)

PARTNERS

Centre O.I.E.

Observation, Impacts, Energie

(Sophia Antipolis, France)

Cloud

Phase,

Eff. Radius

or

Type

Cloud Optical Depth

(COD)

Heliosat-4

Shortwave (SW)

Irradiance

Cloud

Phase

or

Coverage

Method

45°N

BSRN (15)

KNMI (31)

EnerMENA (9)

Pirata (1)

Mireille Lefèvre

Sylvain Cros

Yves-Marie Saint-Drenan

Jan Fokke Meirink

Marion Schroedter-Homscheidt

Hartwig Deneke

Mathieu Turpin

Martin Stengel

Impact on Heliosat-4 SW irradiance for 56 stations:

Year 2016: a CAMS-RAD anomaly in the Netherlands investigated

with a comparison of different cloud properties databases

Conclusion

 Heliosat-4 method is simple to use and to implement with different databases of cloud properties

 There are significant differences among existing cloud properties databases that have a noticeable effect on SW

irradiance from Heliosat-4

 This work demonstrated the relevance of inter-comparison of cloud properties databases

Applying the Heliosat-4 method to

three different cloud properties databases

for the estimation of the surface

downwelling shortwave irradiance

EMS – Copenhagen, Denmark (11/09/2019)

Sensitivity of HS-4 to the cloud properties for the 37 northern stations

no

Heliosat-4

Cloud

Detection

SICLONE HS-4

KNMI HS-4

APOLLO HS-4

STATION measurements

SICLONE (NWC SAF)

MSG-CPP (KNMI)

APOLLO (DLR)

yes

Distribution of Cloud Optical Depth (COD)

GHI (W/m2) Distribution Mean Yearly Profile Mean Daily Profile

M

ODEL

M

C

C

LEAR

(CAMS AOD, WV, O3)

M

ODEL

M

C

C

LOUD

(COD, CT, SZA)

Method

HS-4 Cloud Type (CT)

1) The Cloud Optical Depth

is the most sensitive

variable

2) SICLONE and KNMI COD

improve the bias of HS-4

by 40 % compared to

APOLLO. The bias is

reduced to that of

CAMS-RAD (APOLLO-HS4 + bias

correction)

Cloud

Classification

Zhipeng Qu, Armel Oumbe, Philippe Blanc, Bella

Espinar, Gerhard Gesell, et al.. Fast radiative

transfer parameterisation for assessing the

surface solar irradiance: The Heliosat-4 method.

Meteorologische Zeitschrift, Berlin: A. Asher &

Co., 2017, 26 (1), pp.33-57

.



_{Marked differences between the different datasets}



APOLLO is relatively non-discriminatory for the low COD

mainly considered as null



SICLONE presents a more uniform distribution of low COD

 Over-representation of high irradiations and under-representation of low values

 APOLLO-HS4 farther from measurements than the two others

There is a clear sensitivity of HS-4 output product to the COD and CT from the different

sources, and from their temporal evolution (APOLLO bias is unusually higher in 2016).

(2)

(1)

(HS-4)

Operational CAMS-RAD

Shortwave (SW)

Irradiance

yes

Bias

correction

no

(*) A Model Output Statistics is implemented for KNMI on Dutch stations

and CAMS-RAD on BSRN stations.

(a, d)

http://msgcpp.knmi.nl/

(b, e)

http://www.soda-pro.com/web-services/radiation/cams-radiation-service

(c)

http://reuniwatt.com/en/applications/atmospheric-sciences

Operational SW

irradiance

products (*)

Mean of absolute biases (W/m

2

₎

Mean of biases (W/m

2

₎

Mean of RMSE (W/m

2

₎

Output of the HS-4

method

(b)

(a)

(c)

(d)

(e)