Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-4241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-4241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
30 Aug 2021
Data description paper |
| 30 Aug 2021
| 30 Aug 2021
An all-sky 1 km daily land surface air temperature product over mainland China for 2003–2019 from MODIS and ancillary data
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
Shunlin Liang
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
Bing Li
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
Qian Wang
State Key Laboratory of Remote Sensing Science, Beijing Normal
University, Beijing 100875, China
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30 citations as recorded by crossref.
- A 40-Year 1-km Daily Seamless Near-Surface Air Temperature Product Over Yellow River Basin of China M. Gao et al. 10.1109/JSTARS.2023.3301146
- A 10 km daily-level ultraviolet-radiation-predicting dataset based on machine learning models in China from 2005 to 2020 Y. Jiang et al. 10.5194/essd-16-4655-2024
- Improved estimation of daily blue-sky snow shortwave albedo from MODIS data and reanalysis information A. Ding et al. 10.1016/j.srs.2024.100163
- An Ensemble Machine Learning Model to Enhance Extrapolation Ability of Predicting Coarse Particulate Matter with High Resolutions in China S. Shi et al. 10.1021/acs.est.4c08610
- Data Fusion of AIRS and CrIMSS Near Surface Air Temperature P. Kalmus et al. 10.1029/2022EA002282
- Reconstruction of 0.05° all-sky daily maximum air temperature across Eurasia for 2003–2018 with multi-source satellite data and machine learning models M. Zheng et al. 10.1016/j.atmosres.2022.106398
- Remotely Sensed Estimation of Daily Near-Surface Air Temperature: A Comparison of Metop and MODIS Z. Zhang et al. 10.3390/rs16203754
- An end-to-end satellite-based GPP estimation model devoid of meteorological and land cover data W. Zhu et al. 10.1016/j.agrformet.2023.109337
- Comparison of gap-filling methods for producing all-weather daily remotely sensed near-surface air temperature Y. Mo et al. 10.1016/j.rse.2023.113732
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- Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models J. Chen et al. 10.1016/j.scitotenv.2024.171831
- Large-Scale Estimation of Hourly Surface Air Temperature Based on Observations from the FY-4A Geostationary Satellite Z. Zhang et al. 10.3390/rs15071753
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- Exploring the Spatio-Temporal Characteristics of Urban Thermal Environment during Hot Summer Days: A Case Study of Wuhan, China W. Shi et al. 10.3390/rs14236084
- Glacier Surface Heatwaves Over the Tibetan Plateau W. Chen et al. 10.1029/2022GL101115
- Drought characteristics and dominant factors across China: Insights from high-resolution daily SPEI dataset between 1979 and 2018 L. Wan et al. 10.1016/j.scitotenv.2023.166362
- A long-term 1 km monthly near-surface air temperature dataset over the Tibetan glaciers by fusion of station and satellite observations J. Qin et al. 10.5194/essd-15-331-2023
- Comparative analysis of near-surface and surface urban heat islands in the Yangtze River Delta region X. Shi et al. 10.3389/fenvs.2024.1387672
- Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation T. Zhang et al. 10.1016/j.rse.2022.113072
- Incorporating glacier processes into hydrological simulations in the headwaters of the Yangtze and yellow Rivers L. Chen et al. 10.1016/j.scitotenv.2024.175474
- Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022 M. Wang et al. 10.1038/s41597-024-03980-z
- HRLT: a high-resolution (1 d, 1 km) and long-term (1961–2019) gridded dataset for surface temperature and precipitation across China R. Qin et al. 10.5194/essd-14-4793-2022
- Image-to-Image Training for Spatially Seamless Air Temperature Estimation With Satellite Images and Station Data P. Su et al. 10.1109/JSTARS.2023.3256363
- A global dataset of daily maximum and minimum near-surface air temperature at 1 km resolution over land (2003–2020) T. Zhang et al. 10.5194/essd-14-5637-2022
- Merging framework for estimating daily surface air temperature by integrating observations from multiple polar-orbiting satellites Z. Zhang & Q. Du 10.1016/j.scitotenv.2021.152538
- The first high spatial resolution multi-scale daily SPI and SPEI raster dataset for drought monitoring and evaluating over China from 1979 to 2018 R. Zhang et al. 10.1080/20964471.2022.2148331
- Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China W. Zhu & M. Cao 10.1080/17538947.2023.2251941
- Satellite-based estimation of monthly mean hourly 1-km urban air temperature using a diurnal temperature cycle model F. Huang et al. 10.1016/j.rse.2024.114453
- Multisite evaluation of physics-informed deep learning for permafrost prediction in the Qinghai-Tibet Plateau Y. Liu et al. 10.1016/j.coldregions.2023.104009
- Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data B. Li et al. 10.5194/essd-16-3795-2024
Latest update: 22 Nov 2024
Short summary
This study used remotely sensed and assimilated data to estimate all-sky land surface air temperature (Ta) using a machine learning method, and developed an all-sky 1 km daily mean land Ta product for 2003–2019 over mainland China. Validation results demonstrated that this dataset has achieved satisfactory accuracy and high spatial resolution simultaneously, which fills the current dataset gap in this field and plays an important role in studies of climate change and the hydrological cycle.
This study used remotely sensed and assimilated data to estimate all-sky land surface air...
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