{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:45:33Z","timestamp":1764701133614,"version":"build-2065373602"},"reference-count":77,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T00:00:00Z","timestamp":1717718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42027804","41775026","41075012"],"award-info":[{"award-number":["42027804","41775026","41075012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The feedback of vegetation on cloud cover is an important link in the global water cycle. However, the relative importance of vegetation and related factors (surface properties, heat fluxes, and environmental conditions) on cloud cover in the context of greening remains unclear. Combining the Global Land Surface Satellite (GLASS) leaf area index (LAI) product and the fifth-generation reanalysis data of the European Centre for Medium-Range Weather Forecasts (ERA5), we quantified the relative contribution of vegetation and related factors to total cloud cover (TCC) in typical regions (Eastern European Plain, Western Siberian Plain, Mongolian Plateau, and Northeastern China Plain) of Eurasia over 21 years, and investigated how vegetation moderated the contribution of the other factors. Here, we show that the relative contribution of different factors to TCC was closely related to the climate and vegetation characteristics. In energy-limited (moisture-limited) areas, temperature (relative humidity) was more likely to be the factor that strongly contributed to TCC variation. Except for sparsely vegetated ecosystems, the relative contribution of LAI to TCC was stable within a range of 8\u201313%. The case study also shows that vegetation significantly modulated the contribution of other factors on TCC, but the degree of the regulation varied among different ecosystems. Our results highlight the important influence of vegetation on cloud cover during greening, especially the moderating role of vegetation on the contribution of other factors.<\/jats:p>","DOI":"10.3390\/rs16122048","type":"journal-article","created":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T08:05:17Z","timestamp":1717747517000},"page":"2048","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Vegetation Influences on Cloud Cover in Typical Plain and Plateau Regions of Eurasia: 2001\u20132021"],"prefix":"10.3390","volume":"16","author":[{"given":"Tianwei","family":"Lu","sequence":"first","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3297-2782","authenticated-orcid":false,"given":"Yong","family":"Han","sequence":"additional","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China"},{"name":"Key Laboratory of Tropical Atmosphere-Ocean System (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, China"}]},{"given":"Qicheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Li","family":"Dong","sequence":"additional","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Yurong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Ximing","family":"Deng","sequence":"additional","affiliation":[{"name":"Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2692-846X","authenticated-orcid":false,"given":"Danya","family":"Xu","sequence":"additional","affiliation":[{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1002\/qj.3441","article-title":"Sensible Heating as a Potential Mechanism for Enhanced Cloud Formation over Temperate Forest","volume":"145","author":"Bosman","year":"2019","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3745","DOI":"10.1007\/s00382-017-3840-5","article-title":"Vegetation-Cloud Feedbacks to Future Vegetation Changes in the Arctic Regions","volume":"50","author":"Cho","year":"2018","journal-title":"Clim. Dyn."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1038\/s41467-022-28161-7","article-title":"Contrasting Impacts of Forests on Cloud Cover Based on Satellite Observations","volume":"13","author":"Xu","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1038\/s43017-019-0001-x","article-title":"Characteristics, Drivers and Feedbacks of Global Greening","volume":"1","author":"Piao","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1175\/JCLI-D-17-0236.1","article-title":"Impact of Earth Greening on the Terrestrial Water Cycle","volume":"31","author":"Zeng","year":"2018","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.1175\/JHM-D-16-0208.1","article-title":"Observations of Increased Cloud Cover over Irrigated Agriculture in an Arid Environment","volume":"18","author":"Marsham","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5561","DOI":"10.1175\/JCLI-D-15-0748.1","article-title":"Progressive Midlatitude Afforestation: Impacts on Clouds, Global Energy Transport, and Precipitation","volume":"29","author":"Swann","year":"2016","journal-title":"J. Clim."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"5569","DOI":"10.1038\/s41467-022-33279-9","article-title":"Global Forestation and Deforestation Affect Remote Climate via Adjusted Atmosphere and Ocean Circulation","volume":"13","author":"Portmann","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"12444","DOI":"10.1029\/2019JD030717","article-title":"Impact of Future Warming and Enhanced [CO2] on the Vegetation-Cloud Interaction","volume":"124","author":"Sikma","year":"2019","journal-title":"J. Geophys. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2238","DOI":"10.1111\/gcb.13221","article-title":"Soil\u2013Plant\u2013Atmosphere Conditions Regulating Convective Cloud Formation above Southeastern US Pine Plantations","volume":"22","author":"Manoli","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e2021JD035282","DOI":"10.1029\/2021JD035282","article-title":"Determining Spatial Scales of Soil Moisture\u2014Cloud Coupling Pathways Using Semi-Idealized Simulations","volume":"127","author":"Sakaguchi","year":"2022","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1038\/nature11377","article-title":"Afternoon Rain More Likely over Drier Soils","volume":"489","author":"Taylor","year":"2012","journal-title":"Nature"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e2019JD031989","DOI":"10.1029\/2019JD031989","article-title":"Land Cover Impacts on Land-Atmosphere Coupling Strength in Climate Simulations with WRF Over Europe","volume":"125","author":"Jach","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5721","DOI":"10.1002\/2014JD022586","article-title":"A Process-based Investigation into the Impact of the Congo Basin Deforestation on Surface Climate","volume":"120","author":"Bell","year":"2015","journal-title":"J. Geophys. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7083","DOI":"10.5194\/acp-17-7083-2017","article-title":"Evaluation of Large-Eddy Simulations Forced with Mesoscale Model Output for a Multi-Week Period during a Measurement Campaign","volume":"17","author":"Heinze","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"L24212","DOI":"10.1029\/2004GL021188","article-title":"Climatic Shift in Patterns of Shallow Clouds over the Amazon","volume":"31","author":"Chagnon","year":"2004","journal-title":"Geophys. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3670","DOI":"10.1073\/pnas.0810156106","article-title":"Impact of Deforestation in the Amazon Basin on Cloud Climatology","volume":"106","author":"Wang","year":"2009","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4613","DOI":"10.1098\/rsta.2008.0201","article-title":"Boreal Forests, Aerosols and the Impacts on Clouds and Climate","volume":"366","author":"Spracklen","year":"2008","journal-title":"Philos. Trans. R. Soc. A"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"14067","DOI":"10.1038\/ncomms14067","article-title":"Environmental Conditions Regulate the Impact of Plants on Cloud Formation","volume":"8","author":"Zhao","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1029\/2000GL012635","article-title":"Summer Season Land Cover\u2014Convective Cloud Associations for the Midwest U.S. \u201cCorn Belt\u201d","volume":"28","author":"Carleton","year":"2001","journal-title":"Geophys. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"149651","DOI":"10.1016\/j.scitotenv.2021.149651","article-title":"Impacts of Forest Loss on Local Climate across the Conterminous United States: Evidence from Satellite Time-Series Observations","volume":"802","author":"Li","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1080\/01431169608949075","article-title":"Interactions between Land Cover and Convective Cloud Cover over Midwestern North America Detected from GOES Satellite Data","volume":"17","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"da Silva, H.J.F., Gon\u00e7alves, W.A., Bezerra, B.G., Santos e Silva, C.M., Oliveira, C.P.D., and Mutti, P.R. (2022). Cl\u00e1udio Mois\u00e9s Santos e Silva; Cristiano Prestrelo de Oliveira; Mutti, P.R. Analysis of the Influence of Deforestation on the Microphysical Parameters of Clouds in the Amazon. Remote Sens., 14.","DOI":"10.3390\/rs14215353"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"6063","DOI":"10.5194\/acp-14-6063-2014","article-title":"On the Link between Amazonian Forest Properties and Shallow Cumulus Cloud Fields","volume":"14","author":"Heiblum","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1007\/s00382-009-0536-5","article-title":"Past, Present and Future Vegetation-Cloud Feedbacks in the Amazon Basin","volume":"32","author":"Pinto","year":"2009","journal-title":"Clim. Dyn."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"e2021GL097058","DOI":"10.1029\/2021GL097058","article-title":"Enhanced Nighttime Fog and Low Stratus Occurrence over the Landes Forest, France","volume":"49","author":"Pauli","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"14065","DOI":"10.1038\/ncomms14065","article-title":"Observational Evidence for Cloud Cover Enhancement over Western European Forests","volume":"8","author":"Teuling","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_28","unstructured":"Copernicus Climate Change Service (2022, July 04). Land Cover Classification Gridded Maps from 1992 to Present Derived from Satellite Observations. Available online: https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/dataset\/satellite-land-cover?tab=overview."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"9140","DOI":"10.1080\/01431161.2020.1797222","article-title":"Evaluation of the Version 5.0 Global Land Surface Satellite (GLASS) Leaf Area Index Product Derived from MODIS Data","volume":"41","author":"Li","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","first-page":"573","article-title":"Validation of Global LAnd Surface Satellite (GLASS) Leaf Area Index Product","volume":"18","author":"Xiang","year":"2014","journal-title":"J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Feng, J., Luo, L., Bai, L., Wan, H., and Ren, H. (2021). Monitoring Cropping Intensity Dynamics across the North China Plain from 1982 to 2018 Using GLASS LAI Products. Remote Sens., 13.","DOI":"10.3390\/rs13193911"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"106477","DOI":"10.1016\/j.atmosres.2022.106477","article-title":"Variation and Comparison of Cloud Cover in MODIS and Four Reanalysis Datasets of ERA-Interim, ERA5, MERRA-2 and NCEP","volume":"281","author":"Wu","year":"2023","journal-title":"Atmos. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"105091","DOI":"10.1016\/j.atmosres.2020.105091","article-title":"Can Atmospheric Reanalyses (CRA and ERA5) Represent Cloud Spatiotemporal Characteristics?","volume":"244","author":"Yao","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2965","DOI":"10.1007\/s00382-023-06721-x","article-title":"The Diurnal Cycle from Observations and ERA5 in Surface Pressure, Temperature, Humidity, and Winds","volume":"61","author":"Dai","year":"2023","journal-title":"Clim. Dyn."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"4159","DOI":"10.5194\/gmd-13-4159-2020","article-title":"Evaluating the Land-Surface Energy Partitioning in ERA5","volume":"13","author":"Martens","year":"2020","journal-title":"Geosci. Model Dev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"6277","DOI":"10.1002\/joc.7589","article-title":"Reduction of Uncertainties in Surface Heat Flux over the Tibetan Plateau from ERA-Interim to ERA5","volume":"42","author":"Xin","year":"2022","journal-title":"Int. J. Climatol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 Global Reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_38","unstructured":"Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Hor\u00e1nyi, A., Mu\u00f1oz Sabater, J., Nicolas, J., Peubey, C., Radu, R., and Rozum, I. (2022, August 04). ERA5 Monthly Averaged Data on Single Levels from 1940 to Present. Available online: https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/dataset\/10.24381\/cds.f17050d7?tab=overview."},{"key":"ref_39","unstructured":"Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Hor\u00e1nyi, A., Mu\u00f1oz Sabater, J., Nicolas, J., Peubey, C., Radu, R., and Rozum, I. (2022, August 04). ERA5 Monthly Averaged Data on Pressure Levels from 1940 to Present. Available online: https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/dataset\/10.24381\/cds.6860a573?tab=overview."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"115417","DOI":"10.1016\/j.envres.2023.115417","article-title":"Evapotranspiration Responses to CO2 and Its Driving Mechanisms in Four Ecosystems Based on CMIP6 Simulations: Forest, Shrub, Farm and Grass","volume":"223","author":"Lu","year":"2023","journal-title":"Environ. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"112775","DOI":"10.1016\/j.rse.2021.112775","article-title":"Full-Coverage Mapping and Spatiotemporal Variations of Ground-Level Ozone (O3) Pollution from 2013 to 2020 across China","volume":"270","author":"Wei","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.atmosenv.2016.01.002","article-title":"Spatio-Temporal Variation and Impact Factors Analysis of Satellite-Based Aerosol Optical Depth over China from 2002 to 2015","volume":"129","author":"He","year":"2016","journal-title":"Atmos. Environ."},{"key":"ref_43","unstructured":"Joreskog, K.G., and Wold, H. (1982). Soft modeling: The basic design and some extensions. Systems under Indirect Observations: Part II, North-Holland."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2266","DOI":"10.1360\/TB-2020-0305","article-title":"Statistical Modeling Experiment of Land Precipitation Variations since the Start of the 20th Century with External Forcing Factors","volume":"65","author":"Li","year":"2020","journal-title":"Chin. Sci. Bull."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"138323","DOI":"10.1016\/j.scitotenv.2020.138323","article-title":"Effects of Winter Chilling vs. Spring Forcing on the Spring Phenology of Trees in a Cold Region and a Warmer Reference Region","volume":"725","author":"Yang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.agrformet.2017.11.032","article-title":"Modeling Vegetation Green-up Dates across the Tibetan Plateau by Including Both Seasonal and Daily Temperature and Precipitation","volume":"249","author":"Cao","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"e2021GL095217","DOI":"10.1029\/2021GL095217","article-title":"Vegetation Greening Offsets Urbanization-Induced Fast Warming in Guangdong, Hong Kong, and Macao Region (GHMR)","volume":"48","author":"Chao","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2541","DOI":"10.1029\/2018JG004443","article-title":"Identifying Critical Climate Periods for Vegetation Growth in the Northern Hemisphere","volume":"123","author":"Chen","year":"2018","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"5815","DOI":"10.1038\/s41467-021-25983-9","article-title":"Diverse Sediment Microbiota Shape Methane Emission Temperature Sensitivity in Arctic Lakes","volume":"12","author":"Emerson","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0169-7439(01)00155-1","article-title":"PLS-Regression: A Basic Tool of Chemometrics","volume":"58","author":"Wold","year":"2001","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3273","DOI":"10.5194\/acp-20-3273-2020","article-title":"Improved 1\u2009Km Resolution PM2.5 Estimates across China Using Enhanced Space\u2013Time Extremely Randomized Trees","volume":"20","author":"Wei","year":"2020","journal-title":"Atmos. Chem. Phys."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Xue, W., Wei, J., Zhang, J., Sun, L., Che, Y., Yuan, M., and Hu, X. (2021). Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model. Remote Sens., 13.","DOI":"10.3390\/rs13030505"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"153951","DOI":"10.1016\/j.scitotenv.2022.153951","article-title":"Spatial-Temporal Variations of Terrestrial Evapotranspiration across China from 2000 to 2019","volume":"825","author":"Fu","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.geoderma.2019.01.005","article-title":"Disaggregating and Updating a Legacy Soil Map Using DSMART, Fuzzy c-Means and k-Means Clustering Algorithms in Central Iran","volume":"340","author":"Zeraatpisheh","year":"2019","journal-title":"Geoderma"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"114519","DOI":"10.1016\/j.envres.2022.114519","article-title":"Comparison and Application of SOFM, Fuzzy c-Means and k-Means Clustering Algorithms for Natural Soil Environment Regionalization in China","volume":"216","author":"Zhao","year":"2023","journal-title":"Environ. Res."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"119258","DOI":"10.1016\/j.atmosenv.2022.119258","article-title":"Assessment of the Madrid Region Air Quality Zoning Based on Mesoscale Modelling and K-Means Clustering","volume":"287","author":"Borge","year":"2022","journal-title":"Atmos. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Wang, Q., Ju, Q., Wang, Y., Fu, X., Zhao, W., Du, Y., Jiang, P., and Hao, Z. (2022). Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin. Remote Sens., 14.","DOI":"10.3390\/rs14215623"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.jclepro.2018.05.168","article-title":"Effectiveness of Wetland Plants as Biofilters for Inhalable Particles in an Urban Park","volume":"194","author":"Yan","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"e2022JD037142","DOI":"10.1029\/2022JD037142","article-title":"Partitioning of Sensible and Latent Heat Fluxes in Different Vegetation Types and Their Spatiotemporal Variations Based on 203 FLUXNET Sites","volume":"127","author":"Lin","year":"2022","journal-title":"JGR Atmos."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"5686","DOI":"10.1175\/JCLI3990.1","article-title":"Robust Responses of the Hydrological Cycle to Global Warming","volume":"19","author":"Held","year":"2006","journal-title":"J. Clim."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1038\/s41558-018-0153-6","article-title":"Deforestation Intensifies Hot Days","volume":"8","author":"Stoy","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"e2023EF003511","DOI":"10.1029\/2023EF003511","article-title":"Uncertainty in Projected Critical Soil Moisture Values in CMIP6 Affects the Interpretation of a More Moisture-Limited World","volume":"11","author":"Hsu","year":"2023","journal-title":"Earth\u2019s Future"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1038\/s41467-023-36794-5","article-title":"Soil Moisture-Evaporation Coupling Shifts into New Gears under Increasing CO2","volume":"14","author":"Hsu","year":"2023","journal-title":"Nat. Commun."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1626","DOI":"10.1016\/j.ecolmodel.2011.02.022","article-title":"Climate, Canopy Conductance and Leaf Area Development Controls on Evapotranspiration in a Boreal Coniferous Forest over a 10-Year Period: A United Model Assessment","volume":"222","author":"Ge","year":"2011","journal-title":"Ecol. Model."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"3411","DOI":"10.5194\/hess-25-3411-2021","article-title":"Low and Contrasting Impacts of Vegetation CO2 Fertilization on Global Terrestrial Runoff over 1982\u20132010: Accounting for Aboveground and Belowground Vegetation-CO2 Effects","volume":"25","author":"Yang","year":"2021","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1175\/JCLI-D-19-0461.1","article-title":"Changes in Convective Available Potential Energy and Convective Inhibition under Global Warming","volume":"33","author":"Chen","year":"2020","journal-title":"J. Clim."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"8476","DOI":"10.1002\/2015WR017286","article-title":"Land and Atmospheric Controls on Initiation and Intensity of Moist Convection: CAPE Dynamics and LCL Crossings","volume":"51","author":"Yin","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"e2026241118","DOI":"10.1073\/pnas.2026241118","article-title":"Cloud Cooling Effects of Afforestation and Reforestation at Midlatitudes","volume":"118","author":"Cerasoli","year":"2021","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1007\/s00382-022-06651-0","article-title":"Radiative Contributions of Different Cloud Types to Regional Energy Budget over the SACOL Site","volume":"61","author":"Wang","year":"2023","journal-title":"Clim. Dyn."},{"key":"ref_70","first-page":"671","article-title":"Climate System Response to Solar Radiation Modification","volume":"17","author":"Cao","year":"2021","journal-title":"Clim. Chang. Res."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Intergovernmental Panel on Climate Change (Ipcc) (2023). IPCC, 2021: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press. [1st ed.].","DOI":"10.1017\/9781009157896"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1038\/s41561-022-00991-6","article-title":"Machine Learning Reveals Climate Forcing from Aerosols Is Dominated by Increased Cloud Cover","volume":"15","author":"Chen","year":"2022","journal-title":"Nat. Geosci."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"39","DOI":"10.12691\/ajams-8-2-1","article-title":"Detecting Multicollinearity in Regression Analysis","volume":"8","author":"Shrestha","year":"2020","journal-title":"AJAMS"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Keith, T.Z. (2019). Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling, Routledge. [3rd ed.].","DOI":"10.4324\/9781315162348"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Chatterjee, S., and Simonoff, J.S. (2012). Handbook of Regression Analysis, Wiley. [1st ed.].","DOI":"10.1002\/9781118532843"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s11135-006-9018-6","article-title":"A Caution Regarding Rules of Thumb for Variance Inflation Factors","volume":"41","year":"2007","journal-title":"Qual. Quant."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1175\/BAMS-86-2-225","article-title":"The Relationship between Relative Humidity and the Dewpoint Temperature in Moist Air: A Simple Conversion and Applications","volume":"86","author":"Lawrence","year":"2005","journal-title":"Bull. Amer. Meteor. Soc."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2048\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:55:12Z","timestamp":1760108112000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2048"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":77,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["rs16122048"],"URL":"https:\/\/doi.org\/10.3390\/rs16122048","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,6,7]]}}}