Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS

Fu, Disong; Liu, Mengqi; Yang, Di; Che, Huizheng; Xia, Xiangao

doi:10.1016/j.atmosenv.2022.119080

Cited by 10 publications

(2 citation statements)

References 65 publications

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“…Aerosol variables, defined as AER hereafter, consists of both AOD at 550 nm and surface mass mixing ratios (SMXRs) that we grouped according to species; that is, (a) carbonaceous (black carbon or BC and organic matter or OC AOD, hydrophilic and hydrophobic BC and OC SMXR), (b) dust (DU) (AOD and the sum of three types of DU SMXRs at three size bins), (c) sulfate (SU) (AOD and SMXR), (d) others (sea salt or SS AOD and the sum of three types of SS SMXRs at three size bins). Several evaluation studies over HMA and other regions have used CAMS‐EAC4 successfully albeit with some biases (e.g., Fu et al., 2022; Gueymard & Yang, 2020).…”

Section: Methodsmentioning

confidence: 99%

On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia

Roychoudhury

Kumar

et al. 2022

Geophysical Research Letters

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While meteorology and aerosols are identified as key drivers of snow cover (SC) variability in High Mountain Asia, complex non‐linear interactions between them are not adequately quantified. Here, we attempt to unravel these interactions through a simple relative importance (RI) analysis of meteorological and aerosol variables from ERA5/CAMS‐EAC4 reanalysis against satellite‐derived SC from Moderate Resolution Imaging Spectroradiometer across 2003–2018. Our results show a statistically significant 7% rise in the RI of aerosol‐meteorology interactions (AMI) in modulating SC during late snowmelt season (June and July), notably over low snow‐covered (LSC) regions. Sensitivity tests further reveal that the importance of meteorological interactions with individual aerosol species are more prominent than total aerosols over LSC regions. We find that the RI of AMI for LSC regions is clearly dominated by carbonaceous aerosols, on top of the expected importance of dynamic meteorology. These findings clearly highlight the need to consider AMI in hydrometeorological monitoring, modeling, and reanalyses.

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Section: Methodsmentioning

confidence: 99%

On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia

Roychoudhury

Kumar

et al. 2022

Geophysical Research Letters

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“…Moreover, deriving electron transport rate from Φ PSII would provide a better understanding of the photosynthesis response, but its calculation requires data of absorbed irradiance. Using estimates of average absorbed irradiance across the plant is not a viable solution, as it reduces the precision of HTP and hampers the detection of genotypic differences (Fu et al ., 2022). Working with detached leaves has been proposed as a workaround to standardize leaf irradiance conditions and achieve high throughput (McAusland et al ., 2019), but this method is relatively labour intensive and is not representative of the plant.…”

Section: Introductionmentioning

confidence: 99%

Rapid spatial assessment of leaf‐absorbed irradiance

Zhang,

Kaiser,

Marcelis

et al. 2023

New Phytologist

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Summary Image‐based high‐throughput phenotyping promises the rapid determination of functional traits in large plant populations. However, interpretation of some traits – such as those related to photosynthesis or transpiration rates – is only meaningful if the irradiance absorbed by the measured leaves is known, which can differ greatly between different parts of the same plant and within canopies. No feasible method currently exists to rapidly measure absorbed irradiance in three‐dimensional plants and canopies. We developed a method and protocols to derive absorbed irradiance at any visible part of a canopy with a thermal camera, by fitting a leaf energy balance model to transient changes in leaf temperature. Leaves were exposed to short light pulses (30 s) that were not long enough to trigger stomatal opening but strong enough to induce transient changes in leaf temperature that was proportional to the absorbed irradiance. The method was successfully validated against point measurements of absorbed irradiance in plant species with relatively simple architecture (sweet pepper, cucumber, tomato, and lettuce). Once calibrated, the model was used to produce absorbed irradiance maps from thermograms. Our method opens new avenues for the interpretation of plant responses derived from imaging techniques and can be adapted to existing high‐throughput phenotyping platforms.

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Value-Added Products Derived from 15 Years of High-Quality Surface Solar Radiation Measurements at Xianghe, a Suburban Site in the North China Plain

et al. 2023

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Surface solar radiation (SSR) is a key component of the energy budget of the Earth’s surface, and it varies at different spatial and temporal scales. Considerable knowledge of how and why SSR varies is crucial to a better understanding of climate change, which surely requires long-term measurements of high quality. The objective of this study is to introduce a value-added SSR dataset from Oct 2004 to Oct 2019 based on measurements taken at Xianghe, a suburban site in the North China Plain; two value-added products based on the 1-minute SSR measurements are developed. The first is clear sky detection by using a machine learning model. The second is cloud fraction estimation derived from an effective semi-empirical method. A “brightening” of global horizontal irradiance (GHI) was revealed and found to occur under both clear and cloudy conditions. This could likely be attributed to a reduction in aerosol loading and cloud fraction. This dataset could not only improve our knowledge of the variability and trend of SSR in the North China Plain, but also be beneficial for solar energy assessment and forecasting.

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Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS

Cited by 10 publications

References 65 publications

On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia

On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia

Rapid spatial assessment of leaf‐absorbed irradiance

Value-Added Products Derived from 15 Years of High-Quality Surface Solar Radiation Measurements at Xianghe, a Suburban Site in the North China Plain

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