Surface Downward Longwave Radiation Retrieval Algorithm for GEO-KOMPSAT-2A/AMI

Ahn, Seo-Hee; Lee, Kyu‐Tae; Rim, Se-Hun; Zo, Il-Sung; Kim, Bu-Yo

doi:10.1007/s13143-018-0007-1

Cited by 6 publications

(1 citation statement)

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“…Yang and Cheng [12] used the constructed cloud attribute database to adjust the coefficients of the Clouds and Earth's Radiant Energy Systems (CERES) cloud geometric thickness model, calculated the CBH based on cloud top height and geometric thickness, and then used the temperature profile of the reanalysis data to obtain the cloud base temperature. Ahn et al [13,14] developed an algorithm to calculate the DSLR under all-sky conditions using cloud base temperature and precipitable water between clouds and ground. Some scholars use cloud top temperature instead of cloud base temperature to estimate DSLR because cloud base temperatures obtained from passive remote sensing data have greater uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Downwelling Surface Longwave Radiation with the Combination of Parameterization and Artificial Neural Network from Remotely Sensed Data for Cloudy Sky Conditions

2022

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This work proposes a new method for estimating downwelling surface longwave radiation (DSLR) under cloudy-sky conditions based on a parameterization method and a genetic algorithm–artificial neural network (GA-ANN) algorithm. The new method establishes a GA-ANN model based on simulated data, and then combines MODIS satellite data and ERA5 reanalysis data to estimate the DSLR. According to the validation results of the field sites, the bias and RMSE are –9.18 and 34.88 W/m2, respectively. Compared with the existing research, the new method can achieve reasonable accuracy. Parameter analysis using independently simulated data shows that the near-surface air temperature (Ta) and cloud base height (CBH) have an important influence on DSLR estimation under cloudy-sky conditions. With an increase in CBH, DSLR gradually decreases; however, with an increase in Ta, DSLR shows a trend of gradual increase. When estimating DSLR under cloudy-sky conditions, under the influence of clouds, except for cirrus, the change in DSLRs with CBH and Ta is greater than 20 W/m2.

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Section: Introductionmentioning

confidence: 99%