4.7 Article

Toward an Improved Global Longwave Downward Radiation Product by Fusing Satellite and Reanalysis Data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Oceanography

Evaluating the Accuracy of ERA5 Wave Reanalysis in the Water Around China

Shi Hongyuan et al.

Summary: Wave parameters are crucial for human activities, and in this study, the quality of wave height and wave period in ERA5 reanalysis was evaluated using data from six buoys near Chinese waters. The ERA5 data overestimated significant wave height, with large underestimation during tropical cyclones. The differences in annual wave period between ERA5 and buoys ranged from -1.31s to 0.4s, with better simulation effect in deep water areas.

JOURNAL OF OCEAN UNIVERSITY OF CHINA (2021)

Article Environmental Sciences

Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale

Ahmed Samir Abowarda et al.

Summary: Soil moisture products from passive microwave remote sensing have low spatial resolution, while active sensors can provide higher resolution but lower temporal resolution. This study used data fusion and random forest models to generate continuous surface soil moisture estimates at 30 m x 30 m, improving accuracy and spatial distribution.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Meteorology & Atmospheric Sciences

Does ERA5 outperform satellite products in estimating atmospheric downward longwave radiation at the surface?

Wenjun Tang et al.

Summary: This study compared the accuracy of DLR products from ERA5 atmospheric reanalysis and CERES satellite retrievals, finding that ERA5 performed better over land surfaces but slightly worse over ocean surfaces. This highlights the potential application prospects for ERA5 and poses new challenges for quantitative remote sensing research.

ATMOSPHERIC RESEARCH (2021)

Article Environmental Sciences

Random forest model based fine scale spatiotemporal O3 trends in the Beijing-Tianjin-Hebei region in China, 2010 to 2017

Runmei Ma et al.

Summary: The study built high-performance random forest (RF) models to predict ozone concentrations in the Beijing-Tianjin-Hebei region in China from 2010 to 2017, showing an increasing trend, especially in more developed areas. Weather conditions played a significant role in the model, with high concentrations mainly distributed in regions with higher altitude.

ENVIRONMENTAL POLLUTION (2021)

Article Remote Sensing

Creating 1-km long-term (1980-2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated temperature lapse rates based on machine learning

Hongbo Zhang et al.

Summary: A novel machine-learning based method was developed to accurately estimate daily air temperature in high-elevation areas of the Tibetan Plateau, utilizing remote sensing data and reanalysis datasets. By integrating observational data and multiple data sources, the accuracy of air temperature estimation was significantly improved.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Environmental Sciences

A Method to Downscale Satellite Microwave Land-Surface Temperature

Samuel Favrichon et al.

Summary: This study introduces a method to enhance the spatial resolution of microwave instruments for land-surface temperature measurement through downscaling, utilizing statistical relationships and different predicting variables to estimate high-resolution products.

REMOTE SENSING (2021)

Article Environmental Sciences

Snow Depth Fusion Based on Machine Learning Methods for the Northern Hemisphere

Yanxing Hu et al.

Summary: A machine learning algorithm was used to fuse five snow depth datasets, with the Random Forest Regression model producing the best results. The fused snow depth product was verified at various snow observation sites, showing differing levels of accuracy. Seasonal average snow depths were analyzed, with plans to use random forest regression for long time series of fused snow depth datasets in the future.

REMOTE SENSING (2021)

Article Environmental Sciences

Estimation of Long-Term Surface Downward Longwave Radiation over the Global Land from 2000 to 2018

Chunjie Feng et al.

Summary: This study generated a high-accuracy daily downward longwave radiation dataset with a 5-km spatial resolution over the global land surface using atmospheric parameters. The evaluation results showed that the dataset performed well in comparison with ground measurements, and it outperformed other global radiation products. Additionally, the analysis revealed an increasing trend in longwave radiation over the years, closely related to air temperature and water vapor pressure.

REMOTE SENSING (2021)

Article Environmental Sciences

The Diurnal Variation in Stratospheric Ozone from MACC Reanalysis, ERA-Interim, WACCM, and Earth Observation Data: Characteristics and Intercomparison

Ansgar Schanz et al.

Summary: This study compares the diurnal variation in stratospheric ozone of the MACC reanalysis, ERA-Interim, and WACCM models. Results show that MACC and WACCM perform similarly in capturing ozone diurnal cycle caused by photochemical variations, while ERA-Interim shows less variation. The global maxima of diurnal variation occur at high latitudes in summer, with MACC providing a global description of stratospheric ozone variation due to dynamics and photochemical variations.

ATMOSPHERE (2021)

Article Environmental Sciences

Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features

Kai Tang et al.

Summary: A spatial random forest downscaling LST method (SRFD) was proposed in this study, which supplemented the shortcomings of previous statistics-based downscaling methods by adding the spatial feature of LST. Results show that SRFD outperforms other methods in vision and statistics.

REMOTE SENSING (2021)

Article Geography

Comparison between Atmospheric Reanalysis Models ERA5 and ERA-Interim at the North Antarctic Peninsula Region

Fernando Luis Hillebrand et al.

Summary: This study evaluated the quality of meteorological data in the northern region of the Antarctic Peninsula, finding that ERA5 performed better in temperature while ERA-i showed better results in mean sea level pressure. Local meteorological observations indicated an increase in temperature and a decrease in mean sea level pressure.

ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS (2021)

Article Engineering, Civil

A downscaling-merging method for high-resolution daily precipitation estimation

Fengrui Chen et al.

JOURNAL OF HYDROLOGY (2020)

Article Meteorology & Atmospheric Sciences

The ERA5 global reanalysis

Hans Hersbach et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2020)

Article Remote Sensing

An enhanced spatiotemporal fusion method - Implications for coal fire monitoring using satellite imagery

Raktim Ghosh et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Article Geosciences, Multidisciplinary

A long-term (2005-2016) dataset of hourly integrated land-atmosphere interaction observations on the Tibetan Plateau

Yaoming Ma et al.

EARTH SYSTEM SCIENCE DATA (2020)

Article Engineering, Electrical & Electronic

Assessment of the Long-Term High-Spatial-Resolution Global LAnd Surface Satellite (GLASS) Surface Longwave Radiation Product Using Ground Measurements

Qi Zeng et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Article Meteorology & Atmospheric Sciences

Regional and Global Land Data Assimilation Systems: Innovations, Challenges, and Prospects

Youlong Xia et al.

JOURNAL OF METEOROLOGICAL RESEARCH (2019)

Article Engineering, Electrical & Electronic

Evaluation of Machine Learning Algorithms in Spatial Downscaling of MODIS Land Surface Temperature

Wan Li et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)

Article Multidisciplinary Sciences

Evaluation of surface shortwave and longwave downwelling radiations over the global tropical oceans

Venugopal Thandlam et al.

SN APPLIED SCIENCES (2019)

Review Geosciences, Multidisciplinary

Baseline Surface Radiation Network (BSRN): structure and data description (1992-2017)

Amelie Driemel et al.

EARTH SYSTEM SCIENCE DATA (2018)

Article Multidisciplinary Sciences

A long-term 0.01 degrees surface air temperature dataset of Tibetan Plateau

Lirong Ding et al.

DATA IN BRIEF (2018)

Article Geography, Physical

Accuracy assessment of seven global land cover datasets over China

Yongke Yang et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)

Review Geography, Physical

Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Meteorology & Atmospheric Sciences

The global energy balance from a surface perspective

Martin Wild et al.

CLIMATE DYNAMICS (2013)

Review Forestry

A review of tower flux observation sites in Asia

Yasuko Mizoguchi et al.

JOURNAL OF FOREST RESEARCH (2009)

Article Computer Science, Information Systems

An Advanced Quality Control System for the CEOP/CAMP In-Situ Data Management

Katsunori Tamagawa et al.

IEEE SYSTEMS JOURNAL (2008)

Article Remote Sensing

Random forest classifier for remote sensing classification

M Pal

INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)