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

Wang, Kang; Clow, Gary D.

doi:10.1002/joc.6634

Cited by 4 publications

(1 citation statement)

References 58 publications

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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: 82%

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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Section: Discussionmentioning

confidence: 82%

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

2020

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Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products

Yin,

Jiang,

Liang

et al. 2023

International Journal of Digital Earth

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Rapidly changing high-latitude seasonality: implications for the 21st century carbon cycle in Alaska

Shirley

Mekonnen

Grant

et al. 2022

Environ. Res. Lett.

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Seasonal variations in high-latitude terrestrial carbon (C) fluxes are predominantly driven by air temperature and radiation. At present, high-latitude net C uptake is largest during the summer. Recent observations and modeling studies have demonstrated that ongoing and projected climate change will increase plant productivity, microbial respiration, and growing season lengths at high-latitudes, but impacts on high-latitude C cycle seasonality (and potential feedbacks to the climate system) remain uncertain. Here we use ecosys, a well-tested and process-rich mechanistic ecosystem model that we evaluate further in this study, to explore how climate warming under an RCP8.5 scenario will shift C cycle seasonality in Alaska throughout the 21st century. The model successfully reproduced recently reported large high-latitude C losses during the fall and winter and yet still predicts a high-latitude C sink, pointing to a resolution of the current conflict between process-model and observation-based estimates of high-latitude C balance. We find that warming will result in surprisingly large changes in net ecosystem exchange (NEE; defined as negative for uptake) seasonality, with spring net C uptake overtaking summer net C uptake by year 2100. This shift is driven by a factor of 3 relaxation of spring temperature limitation to plant productivity that results in earlier C uptake and a corresponding increase in magnitude of spring NEE from -19 to -144 gC m-2 season-1 by the end of the century. Although a similar relaxation of temperature limitation will occur in the fall, radiation limitation during those months will limit increases in C fixation. Additionally, warmer soil temperatures and increased carbon inputs from plants lead to combined fall and winter C losses (163 gC m-2) that are larger than summer net uptake (123 gC m-2 season-1) by year 2100. However, this increase in microbial activity leads to more rapid N cycling and increased plant N uptake during the fall and winter months that supports large increases in spring NPP. Due to the large increases in spring net C uptake, the high-latitude atmospheric C sink is projected to sustain throughout this century. Our analysis disentangles the effects of key environmental drivers of high-latitude seasonal C balances as climate changes over the 21st century.

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

Cited by 4 publications

References 58 publications

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

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

Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products

Rapidly changing high-latitude seasonality: implications for the 21st century carbon cycle in Alaska

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