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Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels

Panagiotis Sismanidis, Iphigenia Keramitsoglou, Benjamin Bechtel, Chris Kiranoudis
2016 Remote Sensing  
The downscaling of geostationary diurnal thermal data can ease the lack of land surface temperature (LST) datasets that combine high spatial and temporal resolution.  ...  Such LST predictors are the LST Annual Cycle Parameters (ACPs).  ...  These five parameters are: the mean annual surface temperature (MAST); the yearly amplitude of surface temperature (YAST); the phase shift of the sine function that approximates the LST annual cycle (Theta  ... 
doi:10.3390/rs9010023 fatcat:25ujvpt6ojc5rolrkgiyugkkni

Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

Wenfeng Zhan, Yunhao Chen, Ji Zhou, Jinfei Wang, Wenyu Liu, James Voogt, Xiaolin Zhu, Jinling Quan, Jing Li
2013 Remote Sensing of Environment  
The disaggregation of remotely sensed land surface temperature (DLST), a research field that focuses on decomposing pixel-based temperatures, has been critical in related fields such as the surface flux  ...  Land surface temperature (LST) is an important parameter highly responsive to surface energy fluxes and has become valuable to many disciplines.  ...  Table 2 Terms used in the literature titles on satellite disaggregation of land surface temperature (DLST).  ... 
doi:10.1016/j.rse.2012.12.014 fatcat:3rjpbm2gpjfl7l45vk6vlnbz3a

Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives

Qi Mao, Jian Peng, Yanglin Wang
2021 Remote Sensing  
Remotely sensed land surface temperature (LST) distribution has played a valuable role in land surface processes studies from local to global scales.  ...  Therefore, this study reviewed the current status of resolution enhancement methods for LST data.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/rs13071306 fatcat:4br2m7amujc55ibeierxt53lya

PLANHEAT's Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

Sismanidis, Keramitsoglou, Barberis, Dorotić, Bechtel, Kiranoudis
2019 Remote Sensing  
HD and CD are energy demand proxies that are defined as the deviation of the outdoor surface air temperature from a base temperature, above or below which a building is assumed to need heating or cooling  ...  PLANHEAT's HD and CD are calculated from a dataset of gridded surface air temperatures that have been derived using satellite thermal data from Meteosat-10 Spinning Enhanced Visible and Near-Infrared Imager  ...  Acknowledgments: The source of the original Meteosat Images is EUMETSAT. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/rs11172048 fatcat:wb2mccuqmnfe7pwo3cbq7v6z7y

Modeling year-to-year variations of clear-sky land surface temperature using Aqua/MODIS data

Zefeng Xing, Yanru Yu, Si-Bo Duan, Zhao-Liang Li, Maofang Gao, Pei Leng, Xia Zhang, Guofei Shang
2020 IEEE Access  
Many annual temperature cycle (ATC) models [i.e., ATC with three or five parameters (ACP3 or ACP5)] have been proposed to analyze the annual variations of LST in the past decades.  ...  Land surface temperature (LST) and its annual or inter-annual variations play an important role in understanding global climate change, urban heat island, and the process of land-atmosphere energy exchange  ...  ACKNOWLEDGMENT The authors would like to thank the MODIS Science teams at NASA for providing the satellite observation data.  ... 
doi:10.1109/access.2020.3003990 fatcat:62s2aikbdvgi3lrxsejh73olum

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques [article]

Penghai Wu, Zhixiang Yin, Chao Zeng, Sibo Duan, Frank-Michael Gottsche, Xiaoshaung Ma, Xinghua Li, Hui Yang, Huanfeng Shen
2019 arXiv   pre-print
Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying the thermal environment  ...  (PMW)-based and Surface Energy Balance (SEB)-based methods) and three kinds of spatiotemporal fusion methods (weighted function-based, unmixing-based and hybrid methods).  ...  They decomposed LST into three temporal components: an annual temperature cycle component, a diurnal temperature cycle component prescribed by solar geometry, and a weather temperature component driven  ... 
arXiv:1909.09316v1 fatcat:vuh27iundzcofko7httat6kocm

Anthropogenic heat flux: advisable spatial resolutions when input data are scarce

A. M. Gabey, C. S. B. Grimmond, I. Capel-Timms
2018 Theoretical and Applied Climatology  
The Fractions Skill Score (FSS) and bias are used to rate the skill with which the simple model reproduces the spatial patterns and magnitudes of Q F , and its sub-components, from the detailed model.  ...  LQF skill was consistently good across 90% of the city, away from the centre and major roads.  ...  Acknowledgements The authors would like to extend thanks to Fredrik Lindberg for advice and the City of London Barbican Estate for providing the measurement site.  ... 
doi:10.1007/s00704-018-2367-y fatcat:qw3sdml4xjf2pem4lu5f2m2vcm

A Global Drought and Flood Catalogue from 1950 to 2016

Xiaogang He, Ming Pan, Zhongwang Wei, Eric F. Wood, Justin Sheffield
2020 Bulletin of The American Meteorological Society - (BAMS)  
Capsule summary A Global Drought and Flood Catalogue has been developed to provide consistent estimates of large-scale drought and flood events over 1950-2016, their multivariate characteristics and long-term  ...  The authors gratefully acknowledge funding from NOAA Grant NA14OAR4310218, and the Mary and Randall Hack '69 Research Fund from the Princeton Environmental Institute at  ...  Surface air temperature is scaled to match the CRU dataset in terms of monthly means and diurnal range.  ... 
doi:10.1175/bams-d-18-0269.1 fatcat:nw7b4e7rgbgkdd2y7a3cpf6mta

A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)

M. Pfeiffer, A. Spessa, J. O. Kaplan
2013 Geoscientific Model Development  
One way of assessing the impacts of global wildfire on centennial to multi-millennial timescales is to use process-based fire models linked to dynamic global vegetation models (DGVMs).  ...  areas of the boreal forest and subarctic), our results demonstrate a significant improvement in simulated burned area over the original SPITFIRE.  ...  We thank Ron Holle for providing access to a subset of the NALDN lightning data set and Jim Randerson for providing his global burned area data.  ... 
doi:10.5194/gmd-6-643-2013 fatcat:5mkv23zx2vgudlo575isvpjcx4

MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment

Hylke E. Beck, Eric F. Wood, Ming Pan, Colby K. Fisher, Diego G. Miralles, Albert I.J.M. van Dijk, Tim R. McVicar, Robert F. Adler
2018 Bulletin of The American Meteorological Society - (BAMS)  
MSWEP V2 is the first fully global precipitation dataset with a 0.1° resolution derived by optimally merging a range of gauge, satellite, and reanalysis estimates.  ...  the long-term mean over the land surface.  ...  Similarly, the African TAMSAT dataset uses IR-based CCD values to estimate 10-day rainfall but uses gauge observations to determine the regression parameters and temperature thresholds (Tarnavsky et al  ... 
doi:10.1175/bams-d-17-0138.1 fatcat:k2tpyz37bjddlogqythdikkhyq

Methods of Hydrological Basin Comparison

Malcolm Newson, M. Robinson
1994 Geographical Journal  
The second, and current, phase of the ERB Network has been concemed with moving on from the establishment of the Network to its use.  ...  This covers information about national and intemational activities, and projects, research findings and publications, as well as progress with the ERB Inventory.  ...  ACKNOWLEDGEMENTS Data used, available on the national HYDRO database, were for the greater part collected by Rh6ne-Alpes and Burgundy SRAE.  ... 
doi:10.2307/3059624 fatcat:jbexvxfuojagveztu4m32giibq

First Measurements of Carbonaceous Aerosol across Urban, Rural and Residential Areas in Jeddah City, Saudi Arabia

Iqbal M. Ismail, Ahmad S. Summan, Jalal M. Basahi, Essam Hammam, Mohamed F. Yassin, Ibrahim A. Hassan
2021 Asian Journal of Atmospheric Environment  
The diurnal cycle of PM2.5 during 2010 is summarised in Figure 3 .1a for four areas of the UK.  ...  The diurnal cycle is fairly limited in scale, spanning just a few µg m -3 .  ...  Table 6 .2 summarises AQEG's assessment of the action areas for the current evidence base, highlighting areas which need most attention to improve understanding of PM2.5 in the UK.  ... 
doi:10.5572/ajae.2021.021 fatcat:q2l5zkljpjdjvcuut56kh2k7uu

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  Data Curation of this project is a useful exploration of the data management and sharing life cycle. It has achieved the effective management and timely sharing of data.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Explaining Extreme Events of 2019 from a Climate Perspective

Stephanie C. Herring, Nikolaos Christidis, Andrew Hoell, Martin P. Hoerling, Peter A. Stott
2021 Bulletin of The American Meteorological Society - (BAMS)  
Please be patient as it may take a few minutes for the high-resolution file to download.  ...  AbstractEditors note: For easy download the posted pdf of the Explaining Extreme Events of 2019 is a very low-resolution file. A high-resolution copy of the report is available by clicking here.  ...  Hoerling and three anonymous reviewers are thanked for providing constructive reviews to improve the paper. Acknowledgments.  ... 
doi:10.1175/bams-explainingextremeevents2019.1 fatcat:qg7j4yqjirbplcpk7gedtruztm

Advancing the Utility of Thermal Remote Sensing in Irrigated Arid-Lands Agriculture

Jorge Rosas
2019
surface temperature response and behavior, focusing on the retrieval accuracy and diurnal variability of these spatially and temporally varying land surface temperature estimates.  ...  To further advance the downscaling technique, we explore the utility of novel Cubesat data to produce within-field scale (O~101 m) distributions of land surface temperature.  ...  McCabe, Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle, Remote Sensing 2018, 10(9), 1407; doi:10.3390/rs10091407. described in Chapter 2 (Figure 2-1).  ... 
doi:10.25781/kaust-8xs2v fatcat:2qmdj6tfsnejhjs7arjzf7y2yu
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