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Remote sensing of earth’s energy budget:synthesis and review

International Journal of Digital earth 2019年第7期12卷 737-780页

作者： shunlin Liang Dongdong Wang Tao He Yunyue Yu Department of Geographical sciences University of MarylandCollege ParkMDUSA school of Remote sensing and Information Engineering Wuhan UniversityWuhanPeople’s Republic of China NOAA/NEsDIs/Center for satellite Applications and Research RiverdaleMDUSA

The earth’s climate is largely determined by its energy *** the 1960s,satellite remote sensing has been used in estimating these energy budget components at both the top of the atmosphere(TOA)and the *** the broadband sensors that have been traditionally used for monitoring earth’s energy budget(EEB),data from a variety of narrowband sensors aboard both polar-orbiting and geostationary satellites have also been extensively employed to estimate the EEB *** paper provides a comprehensive review of the satellite missions,state-of-the art estimation algorithms and the satellite products,and also synthesizes current understanding of the EEB and spatiotemporal *** TOA components include total solar irradiance,reflected shortwave radiation/planetary albedo,outgoing longwave radiation,and energy *** surface components include incident solar radiation,shortwave albedo,shortwave net radiation,longwave downward and upwelling radiation,land and sea surface temperature,surface emissivity,all-wave net radiation,and sensible and latent heat *** challenges,and outlook such as virtual constellation of different satellite sensors,temporal homogeneity tests of long time-series products,algorithms ensemble,and products intercomparison are also discussed.

关键词： earth’s energy budget surface radiation budget satellite remote sensing climate change

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Generation of global 1-km daily top-of-atmosphere outgoing longwave radiation product from 2000 to 2021 using machine learning

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International Journal of Digital earth 2023年第1期16卷 2002-2012页

作者： Chuan Zhan shunlin Liang school of Resources and Environmental Engineering Wuhan University of Science and TechnologyWuhanPeople's Republic of China Department of Geography The University of Hong KongPokfulamPeople's Republic of China

Top-of-atmosphere(TOA)outgoing longwave radiation(OLR),a key component of the earth’s energy budget,serves as a diagnostic of the earth’s climate system response to incoming solar ***,existing products are typically estimated using broadband sensors with coarse spatial *** paper presents a machine learning method to estimate TOA OLR by directly linking Moderate Resolution Imaging spectroradiometer(MODIs)TOA radiances with TOA OLR determined by Clouds and the earth’s Radiant energy system(CEREs)and other information,such as the viewing geometry,land surface temperature and cloud top temperature determined by Modern-Era Retrospective analysis for Research and Applications,Version 2(MERRA-2).Models are built separately under clear-and cloudy-sky conditions using a gradient boosting regression *** test results show that the root mean square errors(RMsEs)of the clear-sky and cloudy-sky models for estimating instantaneous values are 4.1 and 7.8 W/m^(2),***-time conversion ratios derived from CEREs daily and hourly OLR data are used to convert the instantaneous MODIs OLR to daily ***-comparisons of the daily results show that the RMsE of the estimated MODIs OLR is 8.9 W/m^(2) in East *** developed high resolution dataset will be beneficial in analyzing the regional energy budget.

关键词： TOA outgoing longwave radiation MODIs CEREs machine learning earth’s energy budget

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How to Heat a Planet? Impact of Anthropogenic Landscapes on earth’s Albedo and Temperature

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International Journal of Geosciences 2020年第6期11卷 420-457页

作者： Mark Healey Lindfield Australia

Today anthropogenic climate change is underway and predicted future global temperatures vary significantly. However, the drivers of current climate change and their links to earth’s natural glacial cycle have yet to be fully resolved. Currently, many on a local level understand, and are exposed to, the heat energy generated by what’s referred to as the urban heat island effect (UHI), whereby natural flora with higher albedos span>span>isspan>span> replaced by manmade urban areas with lower albedos. This heat effect is not constrained to these regions and all anthropogenic surfaces with lower albedos need to be studied and quantified as the accumulated additional heat energy (infrared energy) is trapped within Earth’s atmosphere and could affect the Earth on a planetary level. Deployed satellites have detected critical changes to Earth’s albedo to lower levels, however the cause and impact of these changes have yet to be fully understood and incorporated into Global Circulation models (GCMs). Here it’s shown that industrialization of anthropogenic landscape practices of the past century has displaced millions of square kilometres of naturally high albedo grasslands with lower albedo agricultural landscapes. Utilising a fundamental Energy Balance Model, (EBM) it’s demonstrated these specific changes have generated vast amounts of additional heat energy which is trapped by the atmosphere, transferred and stored within the oceans of the Earth as shown in span>span>Figure 1span>span>span styl

关键词： earth Albedo Anthropogenic Landscape Changes Heat Fluxes earth’s energy budget Glacial Cycle Gaia Links

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