Solar radiation estimation at high latitudes: Assessment of the CMSAF databases, ASR and ERA5

Babar, Bilal; Graversen, Rune; Boström, Tobias

doi:10.1016/j.solener.2019.02.058

Cited by 83 publications

(29 citation statements)

References 38 publications

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“…Zib et al (2012) showed that ERA-Interim generally overestimates solar radiation at two polar stations during June-August, consistent with our results. Babar et al (2019) reported RMSEs for ERA5 and ASR2 against 31 in situ stations in Norway to be 27.0 and 43.4 WÁm −2 , respectively, $10 WÁm −2 lower than our comparisons across Alaska. A previous validation showed that Daymet underestimates solar radiation over the conterminous United States (Slater, 2016), which is not the case in our Alaskan results.…”

Section: Comparison With Prior Highlatitude Resultscontrasting

confidence: 86%

“…They found all of these products have substantial biases but that ERA-Interim and Climate Forecast System Reanalysis (CFSR) performed the best ($4.7 WÁm −2 in annual means). Babar et al (2019) investigated the performance of ERA5 and ASR2 products by using 31 stations in Norway and found a mean absolute error of 6.8 and 16.1 WÁm −2 , respectively, in monthly averages. Walsh et al (2009) evaluated four reanalysis products by using Barrow station data in the Alaskan Arctic and found a large bias in the solar radiation flux estimated from reanalysis products.…”

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confidence: 99%

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Newly collected data across Alaska reveal remarkable biases in solar radiation products

Wang

Clow

2020

Intl Journal of Climatology

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Data on surface solar radiation are scarce in high-latitude regions, and few studies have evaluated the performance of reanalysis products in estimating solar radiation in those regions. Here, an extensive solar radiation dataset is compiled from 98 stations across Alaska to evaluate 11 different surface solar radiation products (seven reanalysis and four observation-derived). No product can capture all aspects of the ground-based observations, and there is ample room for improvement; root mean square errors (RMSEs) of daily, monthly, and annual average comparisons of the products against observations are 38-65, 19-39, and 11-17 WÁm −2 , respectively. ERA5, MERRA2, and ERA-Interim performed the best in Alaska. Daily records from all products show large RMSEs of 60-108 WÁm −2 during May-July, equivalent to 30-55% of the observed solar radiation during this season. The sparseness of Alaskan observations, cloud cover, and algorithm issues may be potential sources of bias.

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Section: Comparison With Prior Highlatitude Resultscontrasting

confidence: 86%

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confidence: 99%

Newly collected data across Alaska reveal remarkable biases in solar radiation products

Wang

Clow

2020

Intl Journal of Climatology

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“…One particular source of radiation estimates that merits further investigation is the recently introduced ERA5 reanalysis [53], which has a similar spatial resolution as NARR. A recent evaluation of ERA5 radiation estimates suggested good agreement with observations for high latitude locations [54], and Wang and Chow [55] found that radiation estimates from ERA5 outperformed those from NARR when compared against observed solar radiation in Alaska. In addition, consideration of radiation estimates from a wider range of regional climate model simulations is needed, including additional simulations from the Coordinated Regional Climate Change Downscaling Experiment (CORDEX) [56].…”

Section: Discussionmentioning

confidence: 85%

Evaluation of Multiple Approaches to Estimate Daily Solar Radiation for Input to Crop Process Models

2020

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Daily solar radiation is a critical input for estimating plant growth and development, yet this variable is infrequently measured compared to other climate variables. This study evaluates the sensitivity of simulated maize and soybean production from the CERES-Maize and CROPGRO-Soybean modules of the Decision Support System for Agrotechnology Transfer (DSSAT) to daily solar radiation estimates obtained from traditional (stochastic, empirical, and mechanistic models) and non-traditional (satellite estimation, reanalysis datasets, and regional climate model simulations) approaches, using as an example radiation estimates for Hancock, Wisconsin, USA. When compared to observations, radiation estimates obtained from empirical and mechanistic models and a satellite-based dataset generally had smaller biases than other approaches. Daily solar radiation estimates from a reanalysis dataset and regional climate model simulations overestimate incoming daily solar radiation. When the radiation estimates were used as an input to CERES-Maize, no significant differences were found for maize yield obtained from the different radiation estimates compared to yield from observed radiation, even though differences were found in the daily values of leaf area index, crop evapotranspiration, and crop dry weight (biomass). In contrast, significant differences were found in simulated soybean yield from CROPGRO-Soybean for the majority of the radiation estimates.

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“…Em junho de 2019 o Brasil alcançou um número de 126.305 sistemas de geração distribuída a partir da energia solar. A capacidade total instalada desses sistemas alcança uma potência de aproximadamente 1,5 GW, Aneel (2019); Ideal (2019). O valor de potência alcançada em junho de 2019 é aproximadamente o dobro do valor quando comparado a junho de 2018, Aneel, (2019).…”

Section: Introductionunclassified

“…A capacidade total instalada desses sistemas alcança uma potência de aproximadamente 1,5 GW, Aneel (2019); Ideal (2019). O valor de potência alcançada em junho de 2019 é aproximadamente o dobro do valor quando comparado a junho de 2018, Aneel, (2019). Os sistemas fotovoltaicos de geração centralizada alcançaram um número de 2.473 sistemas instalados no Brasil.…”

Section: Introductionunclassified

Desenvolvimento E Caracterização De Células De Referência Através Dos Métodos De Calibração Indoor E Outdoor/ Development and Characterization of Reference Cells Through the Indoor and Outdoor Calibration Methods

Rosso

Rampinelli

Schaeffer

2020

BJD

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Solar radiation estimation at high latitudes: Assessment of the CMSAF databases, ASR and ERA5

Cited by 83 publications

References 38 publications

Newly collected data across Alaska reveal remarkable biases in solar radiation products

Newly collected data across Alaska reveal remarkable biases in solar radiation products

Evaluation of Multiple Approaches to Estimate Daily Solar Radiation for Input to Crop Process Models

Desenvolvimento E Caracterização De Células De Referência Através Dos Métodos De Calibração Indoor E Outdoor/ Development and Characterization of Reference Cells Through the Indoor and Outdoor Calibration Methods

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