Title of article :
A revised empirical model to estimate solar radiation
using automated surface weather observations
Author/Authors :
Brian N. Belcher، نويسنده , , Arthur T. DeGaetano، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2007
Abstract :
The transition from manual to automated weather observations at US National Weather Service Offices has compromised the ability
to use these data as a means for estimating global horizontal and direct solar radiation. The creation of long term model-derived solar
radiation climatologies continues to rely on the in situ cloud data that these observations provide, since homogeneous and readily available
satellite data does not span the transition. An existing semi-physical solar radiation model is revised to allow for the estimation of
hourly solar radiation based on these observations. Model evaluation reveals that errors in solar radiation estimates are comparable to
other contemporary solar radiation models that estimate global horizontal solar radiation on both daily (10–15% mean absolute error)
and hourly (15–19% mean absolute error) timescales. Hourly mean absolute errors are similar for different sky conditions, while daily
percent errors are similar between seasons. Model updates also allow for accurate estimates of solar radiation in various climate regimes;
regional patterns in model bias are not evident.
2006 Elsevier Ltd. All rights reserved
Keywords :
Solar radiation , ASOS , model
Journal title :
Solar Energy
Journal title :
Solar Energy