Optimal interpolation of satellite derived irradiance and ground data

Antonio T. Lorenzo; Matthias Morzfeld; William F. Holmgren; Alexander D Cronin

doi:10.1109/PVSC.2016.7749596

Optimal interpolation of satellite derived irradiance and ground data

Antonio T. Lorenzo, Matthias Morzfeld, William F. Holmgren, Alexander D Cronin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We describe how Bayesian data assimilation can be used to improve nowcasts of irradiance over small, city-scale, spatial areas. Specifically, we use optimal interpolation (OI) to improve satellite derived estimates of global horizontal irradiance (GHI) using ground truth data that was collected sparsely over Tucson, AZ. Our results show that the local data indeed improves the satellite derived estimates of GHI. A key to success with OI in this context is to prescribe correlations based on cloudiness, rather than spatially. OI can be used with a variety of data, e.g., rooftop photovoltaic production data or irradiance data, as well as with several different satellite derived irradiance models.

Original language	English (US)
Title of host publication	2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	291-296
Number of pages	6
ISBN (Electronic)	9781509027248
DOIs	https://doi.org/10.1109/PVSC.2016.7749596
State	Published - Nov 18 2016
Event	43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States Duration: Jun 5 2016 → Jun 10 2016

Publication series

Name	Conference Record of the IEEE Photovoltaic Specialists Conference
Volume	2016-November

Other

Other	43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
Country/Territory	United States
City	Portland
Period	6/5/16 → 6/10/16

Keywords

data assimilation
optimal interpolation
remote sensing
solar irradiance

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/PVSC.2016.7749596

Cite this

Lorenzo, A. T., Morzfeld, M., Holmgren, W. F., & Cronin, A. D. (2016). Optimal interpolation of satellite derived irradiance and ground data. In 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 (pp. 291-296). Article 7749596 (Conference Record of the IEEE Photovoltaic Specialists Conference; Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2016.7749596

Optimal interpolation of satellite derived irradiance and ground data. / Lorenzo, Antonio T.; Morzfeld, Matthias; Holmgren, William F. et al.
2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 291-296 7749596 (Conference Record of the IEEE Photovoltaic Specialists Conference; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lorenzo, AT, Morzfeld, M, Holmgren, WF & Cronin, AD 2016, Optimal interpolation of satellite derived irradiance and ground data. in 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016., 7749596, Conference Record of the IEEE Photovoltaic Specialists Conference, vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 291-296, 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016, Portland, United States, 6/5/16. https://doi.org/10.1109/PVSC.2016.7749596

@inproceedings{7e043181d3fb4b6cb995d9056ecd4bb9,

title = "Optimal interpolation of satellite derived irradiance and ground data",

abstract = "We describe how Bayesian data assimilation can be used to improve nowcasts of irradiance over small, city-scale, spatial areas. Specifically, we use optimal interpolation (OI) to improve satellite derived estimates of global horizontal irradiance (GHI) using ground truth data that was collected sparsely over Tucson, AZ. Our results show that the local data indeed improves the satellite derived estimates of GHI. A key to success with OI in this context is to prescribe correlations based on cloudiness, rather than spatially. OI can be used with a variety of data, e.g., rooftop photovoltaic production data or irradiance data, as well as with several different satellite derived irradiance models.",

keywords = "data assimilation, optimal interpolation, remote sensing, solar irradiance",

author = "Lorenzo, {Antonio T.} and Matthias Morzfeld and Holmgren, {William F.} and Cronin, {Alexander D}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 ; Conference date: 05-06-2016 Through 10-06-2016",

year = "2016",

month = nov,

day = "18",

doi = "10.1109/PVSC.2016.7749596",

language = "English (US)",

series = "Conference Record of the IEEE Photovoltaic Specialists Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "291--296",

booktitle = "2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016",

}

TY - GEN

T1 - Optimal interpolation of satellite derived irradiance and ground data

AU - Lorenzo, Antonio T.

AU - Morzfeld, Matthias

AU - Holmgren, William F.

AU - Cronin, Alexander D

PY - 2016/11/18

Y1 - 2016/11/18

N2 - We describe how Bayesian data assimilation can be used to improve nowcasts of irradiance over small, city-scale, spatial areas. Specifically, we use optimal interpolation (OI) to improve satellite derived estimates of global horizontal irradiance (GHI) using ground truth data that was collected sparsely over Tucson, AZ. Our results show that the local data indeed improves the satellite derived estimates of GHI. A key to success with OI in this context is to prescribe correlations based on cloudiness, rather than spatially. OI can be used with a variety of data, e.g., rooftop photovoltaic production data or irradiance data, as well as with several different satellite derived irradiance models.

AB - We describe how Bayesian data assimilation can be used to improve nowcasts of irradiance over small, city-scale, spatial areas. Specifically, we use optimal interpolation (OI) to improve satellite derived estimates of global horizontal irradiance (GHI) using ground truth data that was collected sparsely over Tucson, AZ. Our results show that the local data indeed improves the satellite derived estimates of GHI. A key to success with OI in this context is to prescribe correlations based on cloudiness, rather than spatially. OI can be used with a variety of data, e.g., rooftop photovoltaic production data or irradiance data, as well as with several different satellite derived irradiance models.

KW - data assimilation

KW - optimal interpolation

KW - remote sensing

KW - solar irradiance

UR - http://www.scopus.com/inward/record.url?scp=85003441315&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85003441315&partnerID=8YFLogxK

U2 - 10.1109/PVSC.2016.7749596

DO - 10.1109/PVSC.2016.7749596

M3 - Conference contribution

T3 - Conference Record of the IEEE Photovoltaic Specialists Conference

SP - 291

EP - 296

BT - 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016

Y2 - 5 June 2016 through 10 June 2016

ER -

Optimal interpolation of satellite derived irradiance and ground data

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this