Differences Evaluation among Three Global Remote Sensing SDL Products
At present, a variety of global remote sensing surface downwelling longwave radiation (SDL) products are used for atmospheric science research; however, there are few studies on the quantitative evaluation of differences among different SDL products. In order to evaluate the differences among differ...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2023
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs15174244 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/15/17/4244/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/15/17/4244/ 2023-10-01T03:51:00+02:00 Differences Evaluation among Three Global Remote Sensing SDL Products Laibo Yu Guoxiang Liu Rui Zhang agris 2023-08-29 application/pdf https://doi.org/10.3390/rs15174244 eng eng Multidisciplinary Digital Publishing Institute Earth Observation Data https://dx.doi.org/10.3390/rs15174244 https://creativecommons.org/licenses/by/4.0/ Remote Sensing Volume 15 Issue 17 Pages: 4244 surface downwelling longwave radiation CERES-SYN ECMWF-SRB GEWEX-SRB Text 2023 ftmdpi https://doi.org/10.3390/rs15174244 2023-09-03T23:53:45Z At present, a variety of global remote sensing surface downwelling longwave radiation (SDL) products are used for atmospheric science research; however, there are few studies on the quantitative evaluation of differences among different SDL products. In order to evaluate the differences among different SDL products quantitatively, we have selected three commonly used SDL products—Clouds and the Earth’s Radiant Energy System-Synoptic Radiative Fluxes and Clouds (CERES-SYN), the European Centre for Medium Range Weather Forecasts-Surface Radiation Budget (ECMWF-SRB) and the Global Energy and Water Exchanges Project-Surface Radiation Budget (GEWEX-SRB)—to comprehensively study in this paper. The results show that there are significant differences among the three SDL products in some areas, such as in the Arctic, the Antarctic, the Sahara, the Tibet Plateau, and Greenland. The maximum absolute root mean square error (RMSEab) in these areas is greater than 20 Wm−2, the maximum relative root mean square error (RMSEre) is greater than 20%, the maximum and minimum absolute mean bias error (MBEab) are about 20 Wm−2 and −20 Wm−2, respectively, and the maximum and minimum relative mean bias error (MBEre) are about 10% and −10%, respectively. Among the three SDL products, the difference between the ECMWF-SRB and GEWEX-SRB is the most significant. In addition, this paper also analyzed the differences among different SDL products based on three aspects. Firstly, the differences among the three SDL products show that there is significant seasonality, and the differences among different months may vary greatly. However, the differences are not sensitive to years. Secondly, there are some differences in cloud-forcing radiative fluxes (CFRFs) of different SDL products, which is also an important factor affecting the difference between different SDL products. Finally, in the process of converting high temporal resolution SDL products into monthly SDL products, data processing also affects the difference between different SDL ... Text Antarc* Antarctic Arctic Greenland MDPI Open Access Publishing Arctic Antarctic The Antarctic Greenland Remote Sensing 15 17 4244 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
surface downwelling longwave radiation CERES-SYN ECMWF-SRB GEWEX-SRB |
spellingShingle |
surface downwelling longwave radiation CERES-SYN ECMWF-SRB GEWEX-SRB Laibo Yu Guoxiang Liu Rui Zhang Differences Evaluation among Three Global Remote Sensing SDL Products |
topic_facet |
surface downwelling longwave radiation CERES-SYN ECMWF-SRB GEWEX-SRB |
description |
At present, a variety of global remote sensing surface downwelling longwave radiation (SDL) products are used for atmospheric science research; however, there are few studies on the quantitative evaluation of differences among different SDL products. In order to evaluate the differences among different SDL products quantitatively, we have selected three commonly used SDL products—Clouds and the Earth’s Radiant Energy System-Synoptic Radiative Fluxes and Clouds (CERES-SYN), the European Centre for Medium Range Weather Forecasts-Surface Radiation Budget (ECMWF-SRB) and the Global Energy and Water Exchanges Project-Surface Radiation Budget (GEWEX-SRB)—to comprehensively study in this paper. The results show that there are significant differences among the three SDL products in some areas, such as in the Arctic, the Antarctic, the Sahara, the Tibet Plateau, and Greenland. The maximum absolute root mean square error (RMSEab) in these areas is greater than 20 Wm−2, the maximum relative root mean square error (RMSEre) is greater than 20%, the maximum and minimum absolute mean bias error (MBEab) are about 20 Wm−2 and −20 Wm−2, respectively, and the maximum and minimum relative mean bias error (MBEre) are about 10% and −10%, respectively. Among the three SDL products, the difference between the ECMWF-SRB and GEWEX-SRB is the most significant. In addition, this paper also analyzed the differences among different SDL products based on three aspects. Firstly, the differences among the three SDL products show that there is significant seasonality, and the differences among different months may vary greatly. However, the differences are not sensitive to years. Secondly, there are some differences in cloud-forcing radiative fluxes (CFRFs) of different SDL products, which is also an important factor affecting the difference between different SDL products. Finally, in the process of converting high temporal resolution SDL products into monthly SDL products, data processing also affects the difference between different SDL ... |
format |
Text |
author |
Laibo Yu Guoxiang Liu Rui Zhang |
author_facet |
Laibo Yu Guoxiang Liu Rui Zhang |
author_sort |
Laibo Yu |
title |
Differences Evaluation among Three Global Remote Sensing SDL Products |
title_short |
Differences Evaluation among Three Global Remote Sensing SDL Products |
title_full |
Differences Evaluation among Three Global Remote Sensing SDL Products |
title_fullStr |
Differences Evaluation among Three Global Remote Sensing SDL Products |
title_full_unstemmed |
Differences Evaluation among Three Global Remote Sensing SDL Products |
title_sort |
differences evaluation among three global remote sensing sdl products |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15174244 |
op_coverage |
agris |
geographic |
Arctic Antarctic The Antarctic Greenland |
geographic_facet |
Arctic Antarctic The Antarctic Greenland |
genre |
Antarc* Antarctic Arctic Greenland |
genre_facet |
Antarc* Antarctic Arctic Greenland |
op_source |
Remote Sensing Volume 15 Issue 17 Pages: 4244 |
op_relation |
Earth Observation Data https://dx.doi.org/10.3390/rs15174244 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15174244 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
17 |
container_start_page |
4244 |
_version_ |
1778530433698365440 |