Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products
Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. In this study, we evaluated two Rn products, Global...
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Published in | Remote sensing (Basel, Switzerland) Vol. 12; no. 17; p. 2763 |
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Abstract | Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. In this study, we evaluated two Rn products, Global LAnd Surface Satellite (GLASS) beta version Rn and Modern-Era Retrospective Analysis for Research and Applications-version 2 (MERRA-2) Rn, from 2007–2017 using ground-measured data from 240 globally distributed in-situ radiation measurements provided by FLUXNET projects. The GLASS Rn product had higher accuracy (R2 increased by 0.04–0.26, and RMSE decreased by 2–13.3 W/m2) than the MERRA-2 Rn product for all land cover types on a daily scale, and the two Rn products differed greatly in spatial distribution and variations. We then determined the resulting discrepancies in simulated annual global LE using a simple averaging model by merging five diagnostic LE models: RS-PM model, SW model, PT-JPL model, MS-PT model, and SIM model. The validation results showed that the estimated LE from the GLASS Rn had higher accuracy (R2 increased by 0.04–0.14, and RMSE decreased by 3–8.4 W/m2) than that from the MERRA-2 Rn for different land cover types at daily scale. Importantly, the mean annual global terrestrial LE from GLASS Rn was 2.1% lower than that from the MERRA-2 Rn. Our study showed that large differences in satellite and reanalysis Rn products could lead to substantial uncertainties in estimating global terrestrial LE. |
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AbstractList | Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. In this study, we evaluated two Rn products, Global LAnd Surface Satellite (GLASS) beta version Rn and Modern-Era Retrospective Analysis for Research and Applications-version 2 (MERRA-2) Rn, from 2007–2017 using ground-measured data from 240 globally distributed in-situ radiation measurements provided by FLUXNET projects. The GLASS Rn product had higher accuracy (R2 increased by 0.04–0.26, and RMSE decreased by 2–13.3 W/m2) than the MERRA-2 Rn product for all land cover types on a daily scale, and the two Rn products differed greatly in spatial distribution and variations. We then determined the resulting discrepancies in simulated annual global LE using a simple averaging model by merging five diagnostic LE models: RS-PM model, SW model, PT-JPL model, MS-PT model, and SIM model. The validation results showed that the estimated LE from the GLASS Rn had higher accuracy (R2 increased by 0.04–0.14, and RMSE decreased by 3–8.4 W/m2) than that from the MERRA-2 Rn for different land cover types at daily scale. Importantly, the mean annual global terrestrial LE from GLASS Rn was 2.1% lower than that from the MERRA-2 Rn. Our study showed that large differences in satellite and reanalysis Rn products could lead to substantial uncertainties in estimating global terrestrial LE. |
Author | Guo, Xiaozheng Zhang, Xiaotong Bei, Xiangyi Jiang, Bo Shang, Ke Zhang, Yuhu Jia, Kun Zhang, Lilin Yao, Yunjun Lin, Yi Xie, Xianhong Yang, Junming |
Author_xml | – sequence: 1 givenname: Xiaozheng surname: Guo fullname: Guo, Xiaozheng – sequence: 2 givenname: Yunjun orcidid: 0000-0003-3803-8170 surname: Yao fullname: Yao, Yunjun – sequence: 3 givenname: Yuhu surname: Zhang fullname: Zhang, Yuhu – sequence: 4 givenname: Yi orcidid: 0000-0002-3396-3327 surname: Lin fullname: Lin, Yi – sequence: 5 givenname: Bo orcidid: 0000-0001-5413-0247 surname: Jiang fullname: Jiang, Bo – sequence: 6 givenname: Kun orcidid: 0000-0001-8586-4243 surname: Jia fullname: Jia, Kun – sequence: 7 givenname: Xiaotong surname: Zhang fullname: Zhang, Xiaotong – sequence: 8 givenname: Xianhong surname: Xie fullname: Xie, Xianhong – sequence: 9 givenname: Lilin orcidid: 0000-0003-3350-4566 surname: Zhang fullname: Zhang, Lilin – sequence: 10 givenname: Ke orcidid: 0000-0001-7564-6509 surname: Shang fullname: Shang, Ke – sequence: 11 givenname: Junming surname: Yang fullname: Yang, Junming – sequence: 12 givenname: Xiangyi orcidid: 0000-0002-1910-4286 surname: Bei fullname: Bei, Xiangyi |
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CitedBy_id | crossref_primary_10_5194_hess_27_4505_2023 crossref_primary_10_1016_j_envres_2023_117105 crossref_primary_10_1080_17538947_2022_2130460 crossref_primary_10_3390_rs14184541 crossref_primary_10_5194_essd_14_2315_2022 crossref_primary_10_1016_j_atmosenv_2023_119659 crossref_primary_10_3390_rs14010033 crossref_primary_10_1016_j_agrformet_2024_109962 crossref_primary_10_1080_17538947_2023_2253211 crossref_primary_10_3390_rs16132450 |
Cites_doi | 10.1175/JCLI-D-11-00015.1 10.1002/2016GL072235 10.1016/j.agrformet.2012.11.016 10.1016/S0168-1923(00)00123-4 10.1016/j.rse.2015.12.054 10.1016/j.scitotenv.2019.133787 10.1029/WR023i008p01393 10.1016/j.rse.2011.08.025 10.1038/nature09396 10.1016/j.rse.2011.02.019 10.1029/2004JG000004 10.1016/j.jhydrol.2017.08.013 10.1016/j.rse.2007.04.015 10.5194/tc-13-2087-2019 10.1109/TGRS.2018.2877807 10.1080/01431161.2010.483490 10.1029/2007WR006562 10.1016/j.rse.2016.04.001 10.1002/2013JD020864 10.3390/rs11030216 10.1080/04353676.2019.1583498 10.3390/rs8030222 10.1080/17538947.2013.805262 10.3390/rs9121326 10.1109/TGRS.2010.2096227 10.1016/j.agrformet.2015.05.003 10.1016/j.agrformet.2015.09.015 10.1016/j.rse.2018.07.019 10.3390/rs70404899 10.1175/2010JCLI3812.1 10.1016/j.rse.2015.08.005 10.1002/qj.49711146910 10.1016/j.agrformet.2012.08.003 10.1175/2011JCLI4175.1 10.1175/2007JHM911.1 10.1016/j.agrformet.2008.09.016 10.1016/j.rse.2012.06.013 10.1016/j.rse.2004.12.011 10.1016/j.rse.2011.04.031 10.1016/j.rse.2017.12.024 10.1016/j.agrformet.2018.03.007 10.1111/j.1365-2486.2005.001002.x 10.1016/j.rse.2010.05.012 10.1016/j.agrformet.2017.04.011 10.1109/IGARSS.2016.7729049 10.1016/j.rse.2005.03.014 10.1016/S0168-1923(02)00109-0 10.1109/LGRS.2018.2877625 10.5194/hess-15-453-2011 10.1002/2017JD027903 10.1016/j.rse.2015.03.022 10.1016/S0034-4257(02)00096-2 10.1007/s11434-012-5064-8 10.1002/2016JD026370 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2 10.1029/2009JD013671 |
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References | Yao (ref_1) 2015; 169 ref_50 Bisht (ref_26) 2005; 97 Ma (ref_30) 2018; 216 Yao (ref_58) 2017; 553 ref_10 Mu (ref_14) 2007; 111 ref_51 Wilson (ref_43) 2002; 113 ref_16 Wei (ref_55) 2017; 44 Yao (ref_15) 2013; 171 Bosilovich (ref_52) 2011; 24 Shuttleworth (ref_36) 1985; 111 Mu (ref_7) 2011; 115 Rienecker (ref_22) 2011; 24 Jung (ref_44) 2010; 467 Beck (ref_56) 1987; 23 ref_20 Huang (ref_25) 2016; 181 Zhang (ref_11) 2016; 216 Priestley (ref_37) 1972; 100 Mira (ref_48) 2016; 175 Fang (ref_49) 2012; 124 Xu (ref_2) 2019; 57 Anderson (ref_4) 2012; 122 Ferguson (ref_32) 2010; 31 Jiang (ref_46) 2015; 211 Anderson (ref_5) 2011; 24 Yao (ref_18) 2014; 119 Miralles (ref_19) 2011; 15 ref_33 Zhao (ref_35) 2005; 95 Munkhjargal (ref_54) 2019; 101 Liu (ref_6) 2018; 206 Jing (ref_24) 2019; 13 Ding (ref_17) 2013; 168 Jin (ref_21) 2011; 115 ref_39 ref_38 Reichstein (ref_42) 2005; 11 Yao (ref_59) 2017; 122 Kim (ref_47) 2010; 114 Liang (ref_53) 2013; 6 Huete (ref_40) 2002; 83 Jiang (ref_34) 2019; 16 Wang (ref_45) 2015; 167 Twine (ref_41) 2000; 103 Yao (ref_9) 2017; 56 Liu (ref_23) 2012; 57 Teixeira (ref_13) 2009; 149 Eichelmann (ref_31) 2018; 256–257 ref_3 Wang (ref_12) 2008; 9 Jia (ref_28) 2018; 123 ref_8 Pan (ref_29) 2015; 7 Bisht (ref_27) 2011; 49 Yao (ref_57) 2017; 242 |
References_xml | – volume: 24 start-page: 3624 year: 2011 ident: ref_22 article-title: MERRA: NASA’s modern-era retrospective analysis for research and applications publication-title: J. Clim. doi: 10.1175/JCLI-D-11-00015.1 contributor: fullname: Rienecker – volume: 44 start-page: 2792 year: 2017 ident: ref_55 article-title: Revisiting the contribution of transpiration to global terrestrial evapotranspiration publication-title: Geophys. Res. Lett. doi: 10.1002/2016GL072235 contributor: fullname: Wei – volume: 171 start-page: 187 year: 2013 ident: ref_15 article-title: MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2012.11.016 contributor: fullname: Yao – volume: 103 start-page: 279 year: 2000 ident: ref_41 article-title: Correcting eddy-covariance flux underestimates over a grassland publication-title: Agric. Forest Meteorol. doi: 10.1016/S0168-1923(00)00123-4 contributor: fullname: Twine – volume: 175 start-page: 251 year: 2016 ident: ref_48 article-title: Uncertainty assessment of surface net radiation derived from Landsat images publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.12.054 contributor: fullname: Mira – ident: ref_3 doi: 10.1016/j.scitotenv.2019.133787 – volume: 56 start-page: 1 year: 2017 ident: ref_9 article-title: Differences in estimating terrestrial water flux from three satellite-based Priestley-Taylor algorithms publication-title: Int. J. Appl. Earth Obs. Geoinf. contributor: fullname: Yao – volume: 23 start-page: 1393 year: 1987 ident: ref_56 article-title: Water-quality modeling—A review of the analysis of uncertainty publication-title: Water Resour. Res. doi: 10.1029/WR023i008p01393 contributor: fullname: Beck – volume: 122 start-page: 50 year: 2012 ident: ref_4 article-title: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.08.025 contributor: fullname: Anderson – volume: 467 start-page: 951 year: 2010 ident: ref_44 article-title: Recent decline in the global land evapotranspiration trend due to limited moisture supply publication-title: Nature doi: 10.1038/nature09396 contributor: fullname: Jung – ident: ref_39 – volume: 115 start-page: 1781 year: 2011 ident: ref_7 article-title: Improvements to a MODIS global terrestrial evapotranspiration algorithm publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.02.019 contributor: fullname: Mu – ident: ref_51 doi: 10.1029/2004JG000004 – volume: 553 start-page: 508 year: 2017 ident: ref_58 article-title: Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2017.08.013 contributor: fullname: Yao – volume: 111 start-page: 519 year: 2007 ident: ref_14 article-title: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2007.04.015 contributor: fullname: Mu – volume: 13 start-page: 2087 year: 2019 ident: ref_24 article-title: Permafrost variability over the northern hemisphere based on the MERRA-2 reanalysis publication-title: Cryosphere doi: 10.5194/tc-13-2087-2019 contributor: fullname: Jing – volume: 57 start-page: 2811 year: 2019 ident: ref_2 article-title: Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method publication-title: IEEE Trans. Geosci. Remote doi: 10.1109/TGRS.2018.2877807 contributor: fullname: Xu – volume: 31 start-page: 3821 year: 2010 ident: ref_32 article-title: Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2010.483490 contributor: fullname: Ferguson – ident: ref_16 doi: 10.1029/2007WR006562 – volume: 181 start-page: 198 year: 2016 ident: ref_25 article-title: Representativeness errors of point-scale ground-based solar radiation measurements in the validation of remote sensing products publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.04.001 contributor: fullname: Huang – volume: 119 start-page: 4521 year: 2014 ident: ref_18 article-title: Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations publication-title: J. Geophys. Res. Atmos. doi: 10.1002/2013JD020864 contributor: fullname: Yao – ident: ref_33 doi: 10.3390/rs11030216 – volume: 101 start-page: 177 year: 2019 ident: ref_54 article-title: Estimating daily average net radiation in Northern Mongolia publication-title: Geogr. Ann. A doi: 10.1080/04353676.2019.1583498 contributor: fullname: Munkhjargal – ident: ref_10 doi: 10.3390/rs8030222 – volume: 6 start-page: 5 year: 2013 ident: ref_53 article-title: A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies publication-title: Int. J. Digit. Earth doi: 10.1080/17538947.2013.805262 contributor: fullname: Liang – ident: ref_8 doi: 10.3390/rs9121326 – volume: 49 start-page: 2448 year: 2011 ident: ref_27 article-title: Estimation of net radiation from the moderate resolution imaging spectroradiometer over the continental United States publication-title: IEEE Trans. Geosci. Remote doi: 10.1109/TGRS.2010.2096227 contributor: fullname: Bisht – volume: 211 start-page: 23 year: 2015 ident: ref_46 article-title: Empirical estimation of daytime net radiation from shortwave radiation and ancillary information publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2015.05.003 contributor: fullname: Jiang – volume: 216 start-page: 1 year: 2016 ident: ref_11 article-title: Multi-scale evapotranspiration of summer maize and the controlling meteorological factors in north China publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2015.09.015 contributor: fullname: Zhang – volume: 216 start-page: 715 year: 2018 ident: ref_30 article-title: Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2018.07.019 contributor: fullname: Ma – volume: 7 start-page: 4899 year: 2015 ident: ref_29 article-title: Comparative Assessment of Satellite-Retrieved Surface Net Radiation: An Examination on CERES and SRB Datasets in China publication-title: Remote Sens. doi: 10.3390/rs70404899 contributor: fullname: Pan – volume: 24 start-page: 2025 year: 2011 ident: ref_5 article-title: Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States publication-title: J. Clim. doi: 10.1175/2010JCLI3812.1 contributor: fullname: Anderson – volume: 169 start-page: 454 year: 2015 ident: ref_1 article-title: A satellite-based hybrid algorithm to determine the Priestley-Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.08.005 contributor: fullname: Yao – volume: 111 start-page: 839 year: 1985 ident: ref_36 article-title: Evaporation from sparse crops—An energy combination theory publication-title: Q. J. Roy. Meteor. Soc. doi: 10.1002/qj.49711146910 contributor: fullname: Shuttleworth – volume: 168 start-page: 140 year: 2013 ident: ref_17 article-title: Evapotranspiration measurement and estimation using modified Priestley-Taylor model in an irrigated maize field with mulching publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2012.08.003 contributor: fullname: Ding – volume: 24 start-page: 5721 year: 2011 ident: ref_52 article-title: Global Energy and Water Budgets in MERRA publication-title: J. Clim. doi: 10.1175/2011JCLI4175.1 contributor: fullname: Bosilovich – volume: 9 start-page: 712 year: 2008 ident: ref_12 article-title: An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture publication-title: J. Hydrometeorol. doi: 10.1175/2007JHM911.1 contributor: fullname: Wang – volume: 149 start-page: 462 year: 2009 ident: ref_13 article-title: Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil Part A: Calibration and validation publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2008.09.016 contributor: fullname: Teixeira – volume: 124 start-page: 610 year: 2012 ident: ref_49 article-title: Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2012.06.013 contributor: fullname: Fang – volume: 95 start-page: 164 year: 2005 ident: ref_35 article-title: Improvements of the MODIS terrestrial gross and net primary production global data set publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2004.12.011 contributor: fullname: Zhao – volume: 115 start-page: 2302 year: 2011 ident: ref_21 article-title: Continental-scale net radiation and evapotranspiration estimated using MODIS satellite observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.04.031 contributor: fullname: Jin – volume: 206 start-page: 174 year: 2018 ident: ref_6 article-title: Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2017.12.024 contributor: fullname: Liu – volume: 256–257 start-page: 179 year: 2018 ident: ref_31 article-title: The effect of land cover type and structure on evapotranspiration from agricultural and wetland sites in the Sacramento–San Joaquin River Delta, California publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2018.03.007 contributor: fullname: Eichelmann – volume: 11 start-page: 1424 year: 2005 ident: ref_42 article-title: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: Review and improved algorithm publication-title: Glob. Chang. Biol. doi: 10.1111/j.1365-2486.2005.001002.x contributor: fullname: Reichstein – volume: 114 start-page: 2393 year: 2010 ident: ref_47 article-title: Development of a hybrid method for estimating land surface shortwave net radiation from MODIS data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2010.05.012 contributor: fullname: Kim – ident: ref_50 – volume: 242 start-page: 55 year: 2017 ident: ref_57 article-title: Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms publication-title: Agric. Forest Meteorol. doi: 10.1016/j.agrformet.2017.04.011 contributor: fullname: Yao – ident: ref_20 doi: 10.1109/IGARSS.2016.7729049 – volume: 97 start-page: 52 year: 2005 ident: ref_26 article-title: Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2005.03.014 contributor: fullname: Bisht – volume: 113 start-page: 223 year: 2002 ident: ref_43 article-title: Energy balance closure at FLUXNET sites publication-title: Agric. Forest Meteorol. doi: 10.1016/S0168-1923(02)00109-0 contributor: fullname: Wilson – volume: 16 start-page: 509 year: 2019 ident: ref_34 article-title: Validation of the Surface Daytime Net Radiation Product from Version 4.0 GLASS Product Suite publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2018.2877625 contributor: fullname: Jiang – volume: 15 start-page: 453 year: 2011 ident: ref_19 article-title: Global land-surface evaporation estimated from satellite-based observations publication-title: Hydrol. Earth Syst. Sci. doi: 10.5194/hess-15-453-2011 contributor: fullname: Miralles – volume: 123 start-page: 1970 year: 2018 ident: ref_28 article-title: Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis publication-title: J. Geophys. Res. Atmos. doi: 10.1002/2017JD027903 contributor: fullname: Jia – volume: 167 start-page: 31 year: 2015 ident: ref_45 article-title: Estimating clear-sky all-wave net radiation from combined visible and shortwave infrared (VSWIR) and thermal infrared (TIR) remote sensing data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.03.022 contributor: fullname: Wang – volume: 83 start-page: 195 year: 2002 ident: ref_40 article-title: Overview of the radiometric and biophysical performance of the MODIS vegetation indices publication-title: Remote Sens. Environ. doi: 10.1016/S0034-4257(02)00096-2 contributor: fullname: Huete – volume: 57 start-page: 2846 year: 2012 ident: ref_23 article-title: Spatial and temporal variations of forest LAI in China during 2000–2010 publication-title: Chin. Sci. Bull. doi: 10.1007/s11434-012-5064-8 contributor: fullname: Liu – volume: 122 start-page: 5211 year: 2017 ident: ref_59 article-title: A simple temperature domain two-source model for estimating agricultural field surface energy fluxes from Landsat images publication-title: J. Geophys. Res. Atmos. doi: 10.1002/2016JD026370 contributor: fullname: Yao – volume: 100 start-page: 81 year: 1972 ident: ref_37 article-title: On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters publication-title: Mon. Weather Rev. doi: 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2 contributor: fullname: Priestley – ident: ref_38 doi: 10.1029/2009JD013671 |
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SubjectTerms | Accuracy Climate change Computer simulation Diagnostic systems GLASS Heat Heat flux Laboratories Land cover Land use Latent heat MERRA-2 Net radiation Radiation measurement Remote sensing Spatial distribution surface net radiation Terrestrial environments terrestrial latent heat flux uncertainty Variables Vegetation |
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Title | Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products |
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