Articles | Volume 17, issue 10
https://doi.org/10.5194/hess-17-3695-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-3695-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Oct 2013
Research article |
| 01 Oct 2013
Spatial patterns in timing of the diurnal temperature cycle
T. R. H. Holmes
USDA-ARS Hydrology and Remote Sensing Lab, Beltsville, MD, USA
W. T. Crow
USDA-ARS Hydrology and Remote Sensing Lab, Beltsville, MD, USA
C. Hain
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
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28 citations as recorded by crossref.
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- Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion C. Cammalleri et al. https://doi.org/10.1016/j.agrformet.2013.11.001
- A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations X. Zhang et al. https://doi.org/10.1109/TGRS.2019.2892417
- A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data S. Dong et al. https://doi.org/10.3390/rs14205170
- Inferring land surface parameters from the diurnal variability of microwave and infrared temperatures H. Norouzi et al. https://doi.org/10.1016/j.pce.2015.01.007
- Microwave implementation of two-source energy balance approach for estimating evapotranspiration T. Holmes et al. https://doi.org/10.5194/hess-22-1351-2018
- Generating a 30 m Hourly Land Surface Temperatures Based on Spatial Fusion Model and Machine Learning Algorithm Q. Su et al. https://doi.org/10.3390/s24237424
- A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land J. Zhou et al. https://doi.org/10.1109/TGRS.2017.2698828
- Kriging-based approach to predict missing air temperature data A. Shtiliyanova et al. https://doi.org/10.1016/j.compag.2017.09.033
- A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters F. Hong et al. https://doi.org/10.1016/j.rse.2021.112612
- Diurnal temperature cycle as observed by thermal infrared and microwave radiometers T. Holmes et al. https://doi.org/10.1016/j.rse.2014.10.031
- Reconstructing All-Weather Daytime Land Surface Temperature Based on Energy Balance Considering the Cloud Radiative Effect F. Xu et al. https://doi.org/10.2139/ssrn.4057329
- Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect F. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106397
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. https://doi.org/10.3390/rs11243044
- Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky F. Hong et al. https://doi.org/10.1016/j.isprsjprs.2018.06.008
- A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions F. Aliabad et al. https://doi.org/10.1109/ACCESS.2024.3380023
- New findings on impact of COVID lockdown over terrestrial ecosystems from LEO-GEO satellites N. Lele et al. https://doi.org/10.1016/j.rsase.2021.100476
- A Four‐Parameter Model for Estimating Diurnal Temperature Cycle From MODIS Land Surface Temperature Product L. Lu & X. Zhou https://doi.org/10.1029/2020JD033855
- Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A. Jia et al. https://doi.org/10.1109/MGRS.2024.3421268
- Seasonal Asymmetries in the Lag between Insolation and Surface Temperature A. Donohoe et al. https://doi.org/10.1175/JCLI-D-19-0329.1
- Variability of daily precipitation over Nigeria M. Adeniyi https://doi.org/10.1007/s00703-014-0340-6
- Anomaly Detection and Correction for High-Spatiotemporal-Resolution Land Surface Temperature Data: Integrating Spatiotemporal Physical Constraints and Consistency Verification Y. Wang et al. https://doi.org/10.3390/rs18070972
- Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data A. Jia et al. https://doi.org/10.1016/j.rse.2022.113105
- Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications Z. Li et al. https://doi.org/10.1029/2022RG000777
- Conversion of satellite passive microwave signals to land surface “skin” temperature for extremely dry deserts P. Song et al. https://doi.org/10.1016/j.rse.2023.113857
- Satellite-derived quantification of the diurnal and annual dynamics of land surface temperature P. Sismanidis et al. https://doi.org/10.1016/j.rse.2021.112642
- Cloud tolerance of remote-sensing technologies to measure land surface temperature T. Holmes et al. https://doi.org/10.5194/hess-20-3263-2016
- First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations D. Chen et al. https://doi.org/10.1016/j.isprsjprs.2026.04.012
28 citations as recorded by crossref.
- Satellite‐Based Assessment of Land Surface Energy Partitioning–Soil Moisture Relationships and Effects of Confounding Variables A. Feldman et al. https://doi.org/10.1029/2019WR025874
- Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion C. Cammalleri et al. https://doi.org/10.1016/j.agrformet.2013.11.001
- A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations X. Zhang et al. https://doi.org/10.1109/TGRS.2019.2892417
- A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data S. Dong et al. https://doi.org/10.3390/rs14205170
- Inferring land surface parameters from the diurnal variability of microwave and infrared temperatures H. Norouzi et al. https://doi.org/10.1016/j.pce.2015.01.007
- Microwave implementation of two-source energy balance approach for estimating evapotranspiration T. Holmes et al. https://doi.org/10.5194/hess-22-1351-2018
- Generating a 30 m Hourly Land Surface Temperatures Based on Spatial Fusion Model and Machine Learning Algorithm Q. Su et al. https://doi.org/10.3390/s24237424
- A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land J. Zhou et al. https://doi.org/10.1109/TGRS.2017.2698828
- Kriging-based approach to predict missing air temperature data A. Shtiliyanova et al. https://doi.org/10.1016/j.compag.2017.09.033
- A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters F. Hong et al. https://doi.org/10.1016/j.rse.2021.112612
- Diurnal temperature cycle as observed by thermal infrared and microwave radiometers T. Holmes et al. https://doi.org/10.1016/j.rse.2014.10.031
- Reconstructing All-Weather Daytime Land Surface Temperature Based on Energy Balance Considering the Cloud Radiative Effect F. Xu et al. https://doi.org/10.2139/ssrn.4057329
- Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect F. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106397
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. https://doi.org/10.3390/rs11243044
- Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky F. Hong et al. https://doi.org/10.1016/j.isprsjprs.2018.06.008
- A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions F. Aliabad et al. https://doi.org/10.1109/ACCESS.2024.3380023
- New findings on impact of COVID lockdown over terrestrial ecosystems from LEO-GEO satellites N. Lele et al. https://doi.org/10.1016/j.rsase.2021.100476
- A Four‐Parameter Model for Estimating Diurnal Temperature Cycle From MODIS Land Surface Temperature Product L. Lu & X. Zhou https://doi.org/10.1029/2020JD033855
- Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A. Jia et al. https://doi.org/10.1109/MGRS.2024.3421268
- Seasonal Asymmetries in the Lag between Insolation and Surface Temperature A. Donohoe et al. https://doi.org/10.1175/JCLI-D-19-0329.1
- Variability of daily precipitation over Nigeria M. Adeniyi https://doi.org/10.1007/s00703-014-0340-6
- Anomaly Detection and Correction for High-Spatiotemporal-Resolution Land Surface Temperature Data: Integrating Spatiotemporal Physical Constraints and Consistency Verification Y. Wang et al. https://doi.org/10.3390/rs18070972
- Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data A. Jia et al. https://doi.org/10.1016/j.rse.2022.113105
- Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications Z. Li et al. https://doi.org/10.1029/2022RG000777
- Conversion of satellite passive microwave signals to land surface “skin” temperature for extremely dry deserts P. Song et al. https://doi.org/10.1016/j.rse.2023.113857
- Satellite-derived quantification of the diurnal and annual dynamics of land surface temperature P. Sismanidis et al. https://doi.org/10.1016/j.rse.2021.112642
- Cloud tolerance of remote-sensing technologies to measure land surface temperature T. Holmes et al. https://doi.org/10.5194/hess-20-3263-2016
- First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations D. Chen et al. https://doi.org/10.1016/j.isprsjprs.2026.04.012
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