Characteristics of the Reanalysis and Satellite-Based Surface Net Radiation Data in the Arctic

Abstract

In this study, we compared four net radiation products: the fifth generation of European Centre for Medium-Range Weather Forecasts atmospheric reanalysis of the global climate (ERA5), National Centers for Environmental Prediction (NCEP), Clouds and the Earth’s Radiant Energy System Energy Balanced and Filled (EBAF), and Global Energy and Water Exchanges (GEWEX), based on ground observation data and intercomparison data. ERA5 showed the highest accuracy, followed by EBAF, GEWEX, and NCEP. When analyzing the validation grid, ERA5 showed the most similar data distribution to ground observation data. Different characteristics were observed between the reanalysis data and satellite data. In the case of satellite-based data, the net radiation value tended to increase at high latitudes. Compared with the reanalysis data, Greenland and the central Arctic appeared to be overestimated. All data were highly correlated, with a difference of 6–21 W/m2 among the products examined in this study. Error was attributed mainly to difficulties in predicting long-term climate change and having to combine net radiation data from several sources. This study highlights criteria that may be helpful in selecting data for future climate research models of this region.

Asymmetric impacts of surface thaw onset change on seasonal vegetation growth in Arctic permafrost

“…The newly developed ERA5 is a state‐of‐the‐art reanalysis dataset, and its data assimilation system and model physics have been improved based on the previous version, ERA‐Interim (Hersbach et al, 2020). Previous studies have shown that ERA5 is highly accurate in Arctic regions (Seo et al, 2020). The ERA5 dataset has been widely used to evaluate climatic and environmental changes in the Arctic (Chen et al, 2022; Park et al, 2020).…”

“…Previous studies have shown that ERA5 is highly accurate in Arctic regions (Seo et al, 2020). The ERA5 dataset has been widely used to evaluate climatic and environmental changes in the Arctic (Chen et al, 2022;Park et al, 2020).…”

An Ensemble Learning Model Reveals Accelerated Reductions in Snow Depth Over Arctic Sea Ice Under High‐Emission Scenarios

“…The accumulated snowfall from ERA5 was generally comparable to the observed snow water equivalent from buoys in most cases during the accumulation period in the Arctic (C. Wang et al., 2019). For the ERA5 net radiation data, the RMSE was 19.02 W/m 2 , and the bias of −0.26 W/m 2 was low, indicating the highest accuracy among the four reanalysis products (Seo et al., 2020). In other words, the above ERA5 data could be used as validation data for CMIP6 models.…”

Variability of Surface Radiation Budget over Arctic during Two Recent Decades from Perspective of CERES and ERA5 Data

“…A variety of atmospheric and oceanic data were synthesized to examine the large-scale energy budget of the Arctic. Surface radiation was verified by in situ data and an inter-comparison was performed between different satellite-based radiation data in the Arctic [4,[16][17][18]. Spatiotemporal analyses of the Arctic surface radiation budget have been synthesized using various spatial data [9,19].…”

“…In the case of longwave, analyses of clouds and sea ice were carried out, among which many studies of longwave downwelling have been carried out [22,23,[32][33][34]. In the case of net radiation, long-term trend analysis [9,19], comprehensive research on energy budget [3], and the evaluation of products [4,17,18,35] were conducted.…”