2002
DOI: 10.1111/j.1654-1103.2002.tb02087.x
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Equations for potential annual direct incident radiation and heat load

Abstract: . Estimation of potential annual direct incident radiation has traditionally required numerical integration with simulation models. As an alternative, we present convenient equations for use in spreadsheet, GIS, and database applications. Input variables are latitude, slope, and aspect. The equations apply to 0–60° north latitude, slopes from 0–90°, and all aspects. By transforming aspect, the equations can also be applied as an index of heat load, symmetrical about a northeast to southwest axis.

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Cited by 852 publications
(258 citation statements)
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“…Larger‐leaved species were observed more often in the mesic scrub group, and smaller‐leaved species were observed more often in the xeric scrub group. Additionally, elevation, slope, and aspect patterns in the data support the interpretation of water availability being a significant process (Cornwell & Ackerly, 2009; Franklin, 1998; Keeley & Keeley, 1988; Moody & Meentemeyer, 2001; Poole & Miller, 1981; Westman, 1981), as well as heat load (McCune & Keon, 2002), and thus potential evapotranspiration (PET) among sites at a fine scale. As a whole, in ordinations, mesic scrub plots were in opposition to plots in the xeric scrub group (Figure 5a,b).…”
Section: Discussionsupporting
confidence: 64%
See 1 more Smart Citation
“…Larger‐leaved species were observed more often in the mesic scrub group, and smaller‐leaved species were observed more often in the xeric scrub group. Additionally, elevation, slope, and aspect patterns in the data support the interpretation of water availability being a significant process (Cornwell & Ackerly, 2009; Franklin, 1998; Keeley & Keeley, 1988; Moody & Meentemeyer, 2001; Poole & Miller, 1981; Westman, 1981), as well as heat load (McCune & Keon, 2002), and thus potential evapotranspiration (PET) among sites at a fine scale. As a whole, in ordinations, mesic scrub plots were in opposition to plots in the xeric scrub group (Figure 5a,b).…”
Section: Discussionsupporting
confidence: 64%
“…We measured the distance to coast of each plot. We estimated mean annual precipitation, maximum temperature of the warmest month, and minimum temperature of the coldest month at each site, at a resolution of 1 km 2 (WorldClim gridded climate dataset, Hijmans, Cameron, Parra, Jones, & Jarvis, 2005); mean annual wind speed at a resolution of 200 m 2 (NREL, 2003); and heat load at the plot coordinates (McCune & Keon, 2002). Cloud frequency was acquired from a composite of MODIS satellite images between July and October from 2000 to 2006, giving the mean frequency of days with cloud cover at 10:00 a.m. (Fischer, Still, & Williams, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…As a group, stands covered all topographic aspects, with two or three stands facing each of the following directions: north, northeast, east, south, southwest, west, and northwest; southeasterly facing stands were not sampled because the few available did not fulfill our size criteria. Aspect was subsequently converted to heat load index, according to McCune and Keon (2002), as solar radiation plays a key role in determining strength and depth of edge effects. All stands were located on hillsides with slopes averaging 17.2°(standard deviation = 5.4°); oak forests are generally absent from ridgetops or valleys within this region.…”
Section: Field Methodsmentioning
confidence: 99%
“…Climate predictors (mean annual temperature, BIO1; maximum temperature of the warmest month, BIO5; minimum temperature of the coldest month, BIO6; yearly temperature range, BIO7; average temperature of the wettest quarter, BIO8; average temperature of the driest quarter, BIO9; average temperature of the warmest quarter, BIO10; average temperature of the coldest quarter, BIO11; yearly precipitation sum, BIO12; precipitation sum of the wettest month, BIO13; precipitation sum of the driest month, BIO14; precipitation sum of the wettest quarter, BIO16; precipitation sum of the driest quarter, BIO17; precipitation sum of the warmest quarter, BIO18; precipitation sum of the coldest quarter, BIO19), with a spatial resolution of 1 km, were obtained from the WorldClim dataset (Hijmans et al, 2005) and resampled at a 30 m resolution by linear interpolation. We used a digital elevation model (DEM) with a resolution of 10 m to calculate elevation and slope and calculated a linearization of aspect as cos(aspect − 225 • ) as a proxy for evapotranspiration (Franklin and Tolonen, 2000), and heat load index (McCune and Keon, 2002) as a proxy of solar radiation.…”
Section: Discussionmentioning
confidence: 99%