Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Table 1

Location and periods used in the goodness-of-fit and validation tests and the omission percentage of the data used in the empirical models to estimate global solar radiation in Minas Gerais.

Location	Climate classification (a/b)	Coordinates			Fit (years)	Validation (years)	Gaps (%)
		Latitude (°)	Longitude (°)	Altitude (m)
(1) Araçuaí	Aw/C1dA′	−16.85	−42.07	315	1999–2002	2003–2004	33.4
(2) Araxá	Aw/B2rB′4	−19.59	−46.94	973	2001–2007	2008–2010	37.2
(3) Belo Horizonte	Aw/B2rB′4	−19.82	−43.96	852	1999–2011	2012–2017	18.0
(4) Caratinga	Aw/C2rB′4	−19.79	−42.14	578	1999–2011	2012–2017	25.4
(7) Montes Claros	Aw/C1sA′	−16.73	−43.84	678	1999–2011	2012–2017	17.7
(8) Paracatu	Aw/C1sA′	−17.22	−46.87	688	1999–2010	2011–2015	20.2
(9) Pirapora	Aw/C1sA′	−17.34	−44.94	472	1999–2010	2011–2014	28.7
(5) Lavras	Cwa/B2rB′4	−21.24	−45.00	919	1999–2011	2012–2017	12.1
(6) Machado	Cwa/B2rB′4	−21.67	−45.92	820	2001–2012	2013–2017	19.6
(10) Viçosa	Cwa/B1rB′4	−20.75	−42.88	648	1999–2010	2011–2015	6.5

According to the study [42], a = Köppen–Geiger’s climate classification (A = tropical; C = subtropical; w = water deficiency in winter; a = hot summer) and b = Thornthwaite’s climate classification (C1 = dry subhumid; C2 = subhumid; B1, B2, B3, and B4 = humid; r = small or no water deficiency; d = small or no water excess; s = moderate water excess in summer;  = moderate water deficiency in winter; A′ = megathermal; B′2 = mesothermal). , where is the gap percentage, is the amount of missing data in the period, and is the amount of total data in the period.