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A technique for mapping global illuminance from satellite data

journal contribution
posted on 2023-05-16, 23:01 authored by Janjai, S, Tohsing, K, Manuel NunezManuel Nunez, Laksanaboonsong, J
A technique for mapping global illuminance from satellite data was developed. A five-year (1998–2002) climatology of global solar illuminance obtained from this technique is presented for Thailand using hourly GMS-5 satellite data. The technique is based on a radiation budget model which traces solar radiation as it is scattered, absorbed and reflected back to space. The model produces an earth-atmospheric albedo in the satellite spectral window as well as global illuminance at the earth’s surface. The model is tuned using surface illuminance measurements at four stations in Thailand: Chiang Mai (18.78°N, 98.98°E), Ubon Ratchatani (15.25°N, 104.87°E), Songkhla (7.20°N, 100.60 °E) and Nakhon Pathom (13.82°N, 100.04°E). In the mapping process, a satellite earth-atmospheric albedo at any locations yields a cloud-atmospheric albedo in the satellite band, which is then transformed into a cloud-atmospheric albedo in the photopic band. Having obtained the photopic cloud-atmospheric albedo, the model calculates surface illuminance. The model gives a root mean square difference of 8.1% and a mean bias difference of −2.6% when tested against an independent data set. Monthly average maps are presented covering Thailand for local times of 10:30, 12:30 and 14:30.

History

Publication title

Solar Energy

Volume

82

Issue

6

Pagination

543-555

ISSN

0038-092X

Department/School

School of Geography, Planning and Spatial Sciences

Publisher

Pergamon

Place of publication

United Kingdom

Repository Status

  • Restricted

Socio-economic Objectives

Air quality, atmosphere and weather not elsewhere classified

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