Estimating daily solar radiation values in selected mid-latitude regions by extrapolating measurements from nearby stations

Suckling, Philip W.

doi:10.1016/0038-092x(85)90117-3

Cited by 19 publications

(11 citation statements)

References 7 publications

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“…When missing values are clustered, it is better to replace them by data from a nearby station. with the original weather data set (Wageningen, 1961to 1987) (Wageningen, 1962to 1987 and duration of this period when and simulated yield when temperature values in this set were temperature values in this set were replaced with data from replaced with data from another meteorological station: another meteorological statlon: ( 0 ) De Bilt, 1976to 1985( 0 ) De Bilt, 1976to 1985 De Bllt. 1961to 1975and 1986Bilt, 1961to 1975and 1986to 1987to 1987 agricultural research, since this type of radiation provides the energy for crop growth.…”

Section: Resultsmentioning

confidence: 99%

“…In the late 1920s regular mea- Accordingly, global radiation data are often published the effect of using average radiation data on the calculated separately from temperature and rainfall data. assimilation (Suckling 1985), or from satellite information (Frulla et al 1988, Ben Djemaa & Delorme 1992. Usually, sunshine duration data are used for estimation of global radiation.…”

Section: Resultsmentioning

confidence: 99%

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Inaccuracies in weather data and their effects on crop growth simulation results. I. Potential production

Nonhebel

1994

Clim. Res.

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In weather data sets used by crop modellers, lrregulanties occur as inaccuracies In data or as mlssing values In this investigation, the effect of such irregularlt~es in temperature and global radlation data on s~n~u l a t i o n results 1s studied for a s p n n g wheat crop growth simulat~on model From the Ilterature, the inaccuracy in tempelature and global iadlation data was estimated to b e 1 "C and 10%respectively Systematic over-or underestimation of the data using these values resulted in deviations in smulated yleld of about 1 0 % Four methods of estmlating missing values were compared use of average values over 30 yr, over 1 mo and over 10 d and use of daily data flom another met(-orological station When all daily data were replaced by estimates data flom a nearby statlon gave the best results only a small devlation in simulated yield was found The use of averages resulted in overestlmations of yield of up to 35 % in some years For global ~adiation data the effect of e s t~m a t e s based on sunshine duration data was also considered, use of these data gave a better result than data from a nearby station When only 10% of the daily temperature and radiation data were replaced randomly by estimates, no effects on smulation results were found KEY WORDS. Weather data Crop-growth slmulatlon model Potential production

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Inaccuracies in weather data and their effects on crop growth simulation results. I. Potential production

Nonhebel

1994

Clim. Res.

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“…A comparison of model results with the results obtained by means of a spatial interpolation technique (Suckling 1985) is reported in Table 5 for the 6 stations in Italy and one station in The Netherlands. In the table, the absolute errors of model estimates are compared with the absolute errors due to extrapolation.…”

Section: R S = Q K ( 9 )mentioning

confidence: 99%

“…In the table, the absolute errors of model estimates are compared with the absolute errors due to extrapolation. Extrapolation errors were estimated, for each station, on the basis of the distance from the nearest weather station in which radiation is routinely measured, by assuming that the extrapolation error linearly increases with extrapolation distance (Suckling 1985).…”

Section: R S = Q K ( 9 )mentioning

confidence: 99%

“…Weather variability may depend on many factors, especially the orography. Suckling (1985) studied the relationship between the extrapolation distance and the error in radiation estimates due to extrapolation for a large number of climatic regions. He noted that, in central Europe, mean absolute errors due to extrapolation are a Linear function of the extrapolation distance and are normally greater than 2 MJ m-2 d-l.…”

Section: Introductionmentioning

confidence: 99%

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Estimating daily global radiation from air temperature and rainfall measurements

Bindi¹,

Miglietta²

1991

Clim. Res.

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Radiation-mediated processes (e.g. photosynthesis, evapotranspiration) can be simulated on the basis of measured incoming radiation. Since irradiance is measured at very few weather stations it is often estimated from the duration of bright sunshine or from mean daily cloudiness. In the absence of both these variables, irradiance can be estimated by means of satellite images, spatial interpolation techniques or standard meteorological observations. In this paper, a model to estimate daily global radiation from air temperature and rainfall measurements is presented. The model first assesses days on w k c h the probabilities of clear and overcast skies are maximum and predicts, for these days, the mean sky transmittance. The mean sky transmittance can then be interpolated for any other day. In the model, station parameters are directly derived from latitude and ancillary information, so neither historical climatic records nor calibration parameters are required for the calculations. This simplifies to a large extent the estlrnation procedure. The model was tested for 22 weather stations in 11 countries by comparing estimated and measured irradiance data. Measured and estimated records were also separately used as input of a wheat growth simulation model (NWHEAT) and model results were compared. This comparison showed that when measured irradiance is substituted by estimates there is a very small devlance in the grain yield as calculated by the model.

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Interpolating methods for solar radiation in Uganda

Mubiru

Karume

Mwanjalolo

et al. 2006

Theor. Appl. Climatol.

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Estimating daily solar radiation values in selected mid-latitude regions by extrapolating measurements from nearby stations

Cited by 19 publications

References 7 publications

Inaccuracies in weather data and their effects on crop growth simulation results. I. Potential production

Inaccuracies in weather data and their effects on crop growth simulation results. I. Potential production

Estimating daily global radiation from air temperature and rainfall measurements

Interpolating methods for solar radiation in Uganda

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